Alternatives to Antaeus

Compare Antaeus alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Antaeus in 2026. Compare features, ratings, user reviews, pricing, and more from Antaeus competitors and alternatives in order to make an informed decision for your business.

  • 1
    Red Hat Decision Manager
    Red Hat® Decision Manager is a platform for developing containerized microservices and applications that automate business decisions. Decision Manager includes business rules management, complex event processing, and resource optimization technologies. Organizations can incorporate sophisticated decision logic into line-of-business applications and quickly update underlying business rules as market conditions change. Red Hat® Decision Manager 7 is a powerful, scalable open source business rules management system that includes business resource optimization and complex event processing (CEP) technology. It helps organizations capture business logic and develop applications that automate business decisions. Decision Manager 7 is fully compatible with the Red Hat Application Services portfolio and with Red Hat OpenShift® for deployment in hybrid cloud environments.
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    SAS Business Rules Manager
    Eliminate the risk of incremental, ad hoc operational decision making by using analytically derived business rules to automate and improve decisions across your organization. SAS Business Rules Manager provides a central rules repository, a common platform for managing rule development and deployment, and workflow automation throughout. Administrators have a single point of control for setting authorization, access and security levels for individual users. An integrated workflow for process customization ensures the traceability and versioning of publishing activity. Granular control of rule capabilities provides role security, ensuring that users are appropriately authorized. Use analytical modeling to derive business rules directly from your operational data and automatically generate rule definitions and vocabularies.
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    Plurai

    Plurai

    Plurai

    Plurai is the real-world trust platform for AI agents, built for simulation-driven evaluation, protection, and optimization that turns agents into trusted, continuously improving production systems. It helps teams train evals and guardrails tailored to their use case, bridging the gap from prototype to reliable production at scale. Plurai’s simulation platform prepares agents for the real world, not the lab, with hyper-realistic, product-tailored experimentation and evaluation that covers production complexity. It generates authentic multi-turn scenarios, personas, required artifacts, and tool mocking, using organizational PRDs, relevant sources, and policies to build a knowledge graph and expand edge-case coverage. Instead of relying on static datasets, manual test creation, or inconsistent LLM-as-a-judge methods, Plurai groups evaluations into structured, runnable experiments so teams can test new versions, measure regressions, and validate improvements before release.
    Starting Price: Free
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    Leapter

    Leapter

    Leapter GmbH

    Leapter is an AI-assisted platform for creating, testing, and running business rules and decision logic. Describe rules in natural language and turn them into visual, executable Blueprints that business experts and developers can inspect and refine together. Teams can test scenarios, review changes, and trace how each decision was reached. Approved logic runs deterministically, with no language model in the execution path: the same inputs and logic produce the same outputs. Connect business logic to applications, AI agents, and automation workflows through APIs and MCP, or export it as JavaScript or Python. Use cases include pricing calculations, eligibility checks, underwriting rules, risk scoring, and policy validation. Leapter helps teams keep business logic understandable, testable, and under human control.
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    GoRules

    GoRules

    GoRules

    Every company keeps two copies of its business logic: a document people read and code that runs. They drift. GoRules keeps one copy. Rules read like sentences, live in visual graphs or policy documents, and ship with reviews, releases, and tests. The open-source ZEN engine (MIT, Rust) answers your API, your agents, and your batch jobs in about 10 microseconds. An AI copilot builds and explains rules; people release. Cloud, self-hosted, or embedded. Bindings for Node.js, Python, Go, Java, Kotlin, C#, Swift, and Rust mean the rules that answer a REST call also run inside a Spark worker, so online and batch decisions never disagree. Expressions render as readable sentences in English, Spanish, or Portuguese. Static analysis catches type errors, unreachable rules, and cross-policy conflicts before anything ships. Branch, test, and promote through dev, staging, and production with approvals, rollback, and an audit trail. SOC 2 Type II, SSO, and a free tier to start.
    Starting Price: $167/month
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    Red Hat Process Automation Manager
    Develop cloud-native applications that automate business decisions and processes. Red Hat® Process Automation Manager is a platform for developing containerized microservices and applications that automate business decisions and processes. Process Automation Manager includes business process management (BPM), business rules management (BRM), and business resource optimization and complex event processing (CEP) technologies. It also includes a user experience platform to create engaging user interfaces for process and decision services with minimal coding. Everything business users need to model flows and policies: Business Process Model and Notation (BPMN) models, Decision Model and Notation (DMN) models and domain-specific rule languages. Build in the cloud, for the cloud. Deploy completed models as containerized microservices on Red Hat OpenShift. Utilize the full capabilities of Drools, a powerful and widely used open source rules engine.
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    Agenta

    Agenta

    Agenta

    Agenta is an open-source LLMOps platform designed to help teams build reliable AI applications with integrated prompt management, evaluation workflows, and system observability. It centralizes all prompts, experiments, traces, and evaluations into one structured hub, eliminating scattered workflows across Slack, spreadsheets, and emails. With Agenta, teams can iterate on prompts collaboratively, compare models side-by-side, and maintain full version history for every change. Its evaluation tools replace guesswork with automated testing, LLM-as-a-judge, human annotation, and intermediate-step analysis. Observability features allow developers to trace failures, annotate logs, convert traces into tests, and monitor performance regressions in real time. Agenta helps AI teams transition from siloed experimentation to a unified, efficient LLMOps workflow for shipping more reliable agents and AI products.
    Starting Price: Free
  • 8
    Code Effects

    Code Effects

    Code Effects Software

    Code Effects is a .NET-based decision automation and management platform built on a high-performance, human-readable business rules engine. It enables organizations to automate complex decision-making logic without hardcoding rules into applications. The platform features an intuitive, web-based rule editor that allows both developers and non-technical users to create and manage rules without programming knowledge. Code Effects uses a proprietary lambda-based engine to evaluate rules with exceptional speed and accuracy. Its architecture supports true reusability, allowing rules to be shared across multiple rule sets and applications. Designed for seamless integration, it works natively within .NET environments without external dependencies. Overall, Code Effects helps organizations implement flexible, scalable, and maintainable decision automation.
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    Arize Phoenix
    Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.
    Starting Price: Free
  • 10
    Agent Control

    Agent Control

    Agent Control

    Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.
    Starting Price: Free
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    Drools

    Drools

    Red Hat

    Drools is a Business Rules Management System (BRMS) solution. It provides a core Business Rules Engine (BRE), a web authoring and rules management application (Drools Workbench), full runtime support for Decision Model and Notation (DMN) models at Conformance level 3 and an Eclipse IDE plugin for core development. Drools is open source software, released under the Apache License 2.0. It is written in 100% pure Java™, runs on any JVM and is available in the Maven Central repository too.
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    Kastra

    Kastra

    Kastra

    Kastra is the authorization layer for AI systems, deciding what agents, models, and AI tools are allowed to do before they do it. It sits in the execution path of every prompt, tool call, shell command, database operation, and API request, evaluates each action against deterministic, attribute-based policy, and returns an allow, deny, redact, or escalate decision in under a millisecond. Unlike monitoring products that observe AI after it acts, Kastra blocks unauthorized behavior before it reaches a tool, API, database, or production system. Its unified control plane combines a policy engine, edge decision points, integrations, and a tamper-evident evidence vault that signs every decision for audit and replay. Kastra Edge brings local enforcement to developer machines, protecting Claude Code, Cursor, Codex CLI, and other coding agents from destructive commands, secret exfiltration, unsafe file writes, and unauthorized tool use.
    Starting Price: $19.99 per month
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    LayerLens

    LayerLens

    LayerLens

    LayerLens is an independent AI model evaluation platform for understanding how models perform through verified results across benchmarks, prompt-level results, agentic benchmarks, and audit-ready comparisons across vendors. It helps teams compare more than 200 AI models side by side, with transparent benchmarks, model comparison tools, and consistent evaluation methods for accuracy, latency, behavior, and real-world applicability. LayerLens is built for deep model analysis through Spaces, where teams can group benchmarks and evaluations, explore task strengths, and track performance patterns in context. It supports continuous evaluation by running ongoing evals across model versions, prompt changes, judge updates, and live traces, helping teams detect quality regressions, drift, silent failures, contamination, and policy issues before they affect production.
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    Tev1

    Tev1

    Together AI

    Tev1 is a fast decision and classification model built by Together AI and fine-tuned from Qwen3.5 4B. It is designed around a simple interface: provide a piece of state, a question, and 2 to 24 labeled options, and the model returns exactly one letter that software can map back to a semantic key. This structure supports production tasks such as routing support tickets, evaluating automated returns, applying policy rules, rating sentiment, categorizing documents, and inserting deterministic decision points into larger agent pipelines. The model has 4.7B parameters, a 32.8K-token context window, and runs with non-thinking generation for fast, predictable classification. It was trained on 37,840 examples spanning intent detection, boolean comprehension, sentiment, policy application, routing, news categories, and research-paper taxonomy. Recommended settings use temperature 0 and a very small output budget so responses remain stable and easy to parse.
    Starting Price: $0.04 per 1M tokens
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    OpenRules

    OpenRules

    OpenRules

    With OpenRules® business people create and test decision models and then involve IT to integrate them with the actual information systems. OpenRules clearly specifies all integration points. If you want to automate complex business logic used by your organization to make better day-by-day operational decisions in a cost-effective way, you are in the right place. OpenRules® products allow business analysts to develop, test, and maintain Operational Decision Services working in concert with developers to deploy them on-premise or on cloud. OpenRules® Decision Manager allows business people to develop, test, and maintain rules-based business decision models and easily deploy them on cloud or on-premise. Executes business rules with ultimate performance and scalability. OpenRules® doesn’t force its customers to learn proprietary graphical interfaces or special rule languages. Using familiar MS Excel® / Google Sheets® with the standard file manager or OpenRules Graphical Explorer.
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    Flow-Like

    Flow-Like

    TM9657 GmbH

    Flow-Like is an open-source, typed, local-first workflow automation engine for building and executing automation and AI workflows in self-hosted or offline environments. It combines visual, graph-based workflows with strong typing and deterministic execution, making complex systems easier to understand, validate, and maintain. Unlike many workflow tools that rely on untyped JSON, cloud-only backends, or opaque runtime behavior, Flow-Like makes data flow and execution explicit and inspectable. Workflows can run locally, on private servers, in containers, or in Kubernetes without changing semantics. The core runtime is written in Rust for performance, safety, and portability. Flow-Like supports event-driven automation, data processing, document ingestion, and AI pipelines, including typed agent and RAG workflows using local or hosted models. It is designed for developers and organizations that need reliable automation with full control over infrastructure and data.
    Starting Price: $9.99/month
  • 17
    Tuning Engines

    Tuning Engines

    CerebrixOS

    Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform.
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    Kusari

    Kusari

    Kusari

    Kusari’s platform offers "always-on transparency” for the visibility and insights you need. Secure your software development lifecycle end-to-end, powered by open source GUAC and open standards. Understand the composition of any software artifact with GUAC, a queryable open-source knowledge graph. Evaluate artifacts before you ingest them, and create policies to automatically prevent risky or vulnerable dependencies from entering your supply chain. Make your development process secure by default without interrupting developer workflows. Kusari meets you where you are by integrating with your existing IDE and CI/CD tools. Put software supply chain security best practices on autopilot, ensuring the integrity of each build and generating the metadata to prove it.
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    DeepInfer

    DeepInfer

    DeepSeek

    DeepInfer is an open-source inference framework for running DeepSeek language models on Linux systems with supported NVIDIA or Huawei Ascend accelerators. It provides offline inference and runtime components for model execution, optimized kernels, distributed parallelism, asynchronous batch scheduling, speculative decoding, deterministic generation, and structured outputs such as JSON Schema, regular expressions, and EBNF formats. The project documents DeepSeek-V4.1-Flash support and includes build instructions, configuration guidance, examples, and evaluation tools. It is intended for developers and infrastructure teams building or evaluating self-managed inference deployments. Its repository notes that production services may require additional KV-cache, prefill/decode disaggregation, and load-balancing components not included in this release.
  • 20
    Cedar

    Cedar

    Amazon

    Cedar is an open source policy language and evaluation engine developed by AWS to facilitate fine-grained access control in applications. It enables developers to define clear and concise authorization policies, decoupling access control from application logic. Cedar supports common authorization models, including role-based access control and attribute-based access control, allowing for expressive and analyzable policy definitions. Its design emphasizes readability and performance, ensuring that policies are both easy to understand and efficient to enforce. By integrating Cedar, applications can make precise authorization decisions, enhancing security and maintainability. The policy structure is designed to be indexed for quick retrieval and to support fast and scalable real-time evaluation, with bounded latency. It enables analyzer tools capable of optimizing your policies and proving that your security model is what you believe it is.
    Starting Price: Free
  • 21
    Usage Panda

    Usage Panda

    Usage Panda

    Layer enterprise-level security features over your OpenAI usage. OpenAI LLM APIs are incredibly powerful, but they lack the granular control and visibility that enterprises expect. Usage Panda fixes that. Usage Panda evaluates security policies for requests before they're sent to OpenAI. Avoid surprise bills by only allowing requests that fall below a cost threshold. Opt-in to log the complete request, parameters, and response for every request made to OpenAI. Create an unlimited number of connections, each with its own custom policies and limits. Monitor, redact, and block malicious attempts to alter or reveal system prompts. Explore usage in granular detail using Usage Panda's visualization tools and custom charts. Get notified via email or Slack before reaching a usage limit or billing threshold. Associate costs and policy violations back to end application users and implement per-user rate limits.
  • 22
    Maetra

    Maetra

    Maetra

    Maetra is an AI governance and compliance control plane for teams operating tool-using AI agents. Discover inventories agents and capabilities; Comply maps systems to applicable frameworks and keeps reusable evidence current; Govern evaluates consequential actions against versioned policies and routes human approval when required. Secure scans prompts, messages, model outputs, and tool calls for prompt injection, data exposure, unsafe actions, and policy violations. Task Guard detects task drift, scope changes, and mismatched effects. Interaction Guard protects supported browser-AI prompts and files, while Audit preserves linked decision, approval, runtime, and change evidence. Teams can adopt modules separately or together through the web app, REST APIs, SDKs, and MCP. A 14-day no-card trial is available, with paid plans from $20/month.
    Starting Price: $20/month
  • 23
    OpenText Process Automation
    OpenText Process Automation is a low-code platform designed to help organizations build smart, easy-to-deploy business process automation and dynamic case management applications. It enables companies to re-engineer workflows around customer, employee, and partner needs to create seamless digital experiences. The platform offers drag-and-drop modeling, reusable components, and accelerators to speed application development while reducing costs. It integrates enterprise information from multiple systems to orchestrate smooth information flows within applications. Real-time business insights are available through pre-built, customizable reports that eliminate the complexity of traditional BI tools. OpenText Process Automation supports flexible deployment on-premises, hybrid, or cloud environments.
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    Higson

    Higson

    Decerto

    Higson is a high-performance business rules engine designed to help organizations manage complex decision logic and automate rule-based processes with ultra-fast execution and an intuitive, business-user-friendly interface. It separates business rules from application code so users can configure products, pricing, and decision logic through a web-based Studio without deep programming knowledge, reducing reliance on developers and accelerating time to market. Higson offers advanced version control, a clear tree-structured rule editor, and tools like tester and mass tester to validate changes before publishing. It supports visual rule modeling, AI model integration, decision tables, functions written in Groovy, and import/export via Excel, and it can integrate with existing systems through REST or Java APIs while storing configurations in popular SQL databases. The runtime engine is optimized for real-time decisioning, handling thousands of API calls per second and large datasets.
    Starting Price: $10,000 per year
  • 25
    Surf.new

    Surf.new

    Steel.dev

    Surf.new is a free, open-source playground for testing and using AI agents that can browse the web. These agents surf the web and interact with webpages similarly to how a human would, making tasks like automation and web research easy and intuitive. Whether you're a developer evaluating web agents for production use or someone looking to automate repetitive tasks like checking flights, scraping product information, or booking reservations, Surf.new provides an accessible environment to quickly experiment and see how web agents perform. Key Features: Swap between AI Agent Frameworks with a button: Supports Browser-use, an experimental Claude Computer-use-based agent, and integrates smoothly with LangChain—allowing easy experimentation with different approaches. Diverse AI Model Compatibility: Compatible with popular models including Claude 3.7, DeepSeek R1, OpenAI models, Gemini 2.0 Flash, and others—giving you the flexibility to choose what works best.
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    NVIDIA OpenShell
    NVIDIA OpenShell is an open, secure runtime for autonomous AI agents that governs how agents execute, what they can access, and where inference traffic goes. Security is enforced in the environment rather than inside the model or application: nothing is permitted by default, permissions are granted through policy, and enforcement happens outside the agent process so it cannot be bypassed through prompting. Each agent runs in an isolated sandbox with no direct network access, limited file access, and kernel-level monitoring of system calls. A gateway acts as the control plane, authenticating users, managing sandbox lifecycles, and delivering policies, settings, credentials, and inference configuration. A supervisor runs outside each sandbox, evaluates network requests against policy at the binary, destination, method, and path levels, and provides credentials only when allowed.
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    Emly Labs

    Emly Labs

    Emly Labs

    Emly Labs is an AI framework designed to make AI accessible for users at all technical levels through a user-friendly platform. It offers AI project management with tools for guided workflows and automation for faster execution. The platform encourages team collaboration and innovation, provides no-code data preparation, and integrates external data for robust AI models. Emly AutoML automates data processing and model evaluation, reducing human input. It prioritizes transparency, with explainable AI features and robust auditing for compliance. Security measures include data isolation, role-based access, and secure integrations. Additionally, Emly's cost-effective infrastructure allows on-demand resource provisioning and policy management, enhancing experimentation and innovation while reducing costs and risks.
    Starting Price: $99/month
  • 28
    Paris

    Paris

    Paragon Business Solutions

    A fast and flexible decision engine for all your customer management needs. An intuitive, point-and-click user experience makes Paris easy to adopt and use for implementing scorecards and decision science in credit, fraud risk, marketing, and more. Designed for maximum flexibility and growth, Paris is a highly scalable and configurable decision engine system. Implement models – both traditional and machine learning – and complex rules, across numerous products and decision science applications, including marketing, application scoring, credit strategies, customer management and collections. It is fully auditable, with all input, derived and output variables available to the reporting suite. Business-led, flexible software. Visualization of and interaction with decision trees. ‘What if?’ analysis and ‘open box’ strategy design. Strategy testing and continuous improvement. Reliable and accurate decisioning and routing. Multi-bureau and open banking support.
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    doteval

    doteval

    doteval

    doteval is an AI-assisted evaluation workspace that simplifies the creation of high-signal evaluations, alignment of LLM judges, and definition of rewards for reinforcement learning, all within a single platform. It offers a Cursor-like experience to edit evaluations-as-code against a YAML schema, enabling users to version evaluations across checkpoints, replace manual effort with AI-generated diffs, and compare evaluation runs on tight execution loops to align them with proprietary data. doteval supports the specification of fine-grained rubrics and aligned graders, facilitating rapid iteration and high-quality evaluation datasets. Users can confidently determine model upgrades or prompt improvements and export specifications for reinforcement learning training. It is designed to accelerate the evaluation and reward creation process by 10 to 100 times, making it a valuable tool for frontier AI teams benchmarking complex model tasks.
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    Galileo

    Galileo

    Cisco

    Galileo is an AI observability and eval engineering platform that helps teams measure, protect, and improve AI systems in development and production. Now part of Cisco, the platform turns offline evaluations into production guardrails so teams can stop AI failures instead of only monitoring them. Galileo helps users build datasets from synthetic, development, and live production data, while capturing subject matter expert annotations as ground truth. The platform includes more than 20 out-of-the-box evals for RAG, agents, safety, security, and custom evaluation workflows. Its Luna models distill expensive LLM-as-judge evaluators into lower-cost, low-latency guardrails that can monitor production traffic. Built for enterprises and developers, Galileo helps teams debug failures, improve agent behavior, enforce AI policies, and ship AI applications with more confidence.
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    SignaKit

    SignaKit

    SignaKit

    SignaKit is a feature flags, A/B testing, and experimentation platform for engineering teams that need full control over software releases without per-seat pricing or vendor lock-in. Flags are evaluated locally inside the application process using a cached configuration served from AWS CloudFront, producing sub-millisecond evaluation with no network roundtrip on the hot path — bucketing is deterministic via MurmurHash3, so the same user always receives the same variant across sessions and devices. Teams can create boolean and multivariate flags with percentage rollouts, audience targeting by any user attribute, and instant kill switches for emergency rollbacks. Built-in A/B testing tracks statistical significance with configurable experiment snapshot intervals, and multi-armed bandit optimization automatically shifts traffic toward the winning variant as results accumulate — included on every plan, including Free.
    Starting Price: $39 per month
  • 32
    BenchLLM

    BenchLLM

    BenchLLM

    Use BenchLLM to evaluate your code on the fly. Build test suites for your models and generate quality reports. Choose between automated, interactive or custom evaluation strategies. We are a team of engineers who love building AI products. We don't want to compromise between the power and flexibility of AI and predictable results. We have built the open and flexible LLM evaluation tool that we have always wished we had. Run and evaluate models with simple and elegant CLI commands. Use the CLI as a testing tool for your CI/CD pipeline. Monitor models performance and detect regressions in production. Test your code on the fly. BenchLLM supports OpenAI, Langchain, and any other API out of the box. Use multiple evaluation strategies and visualize insightful reports.
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    Amazon Bedrock Guardrails
    Amazon Bedrock Guardrails is a configurable safeguard system designed to enhance the safety and compliance of generative AI applications built on Amazon Bedrock. It enables developers to implement customized safety, privacy, and truthfulness controls across various foundation models, including those hosted within Amazon Bedrock, fine-tuned models, and self-hosted models. Guardrails provide a consistent approach to enforcing responsible AI policies by evaluating both user inputs and model responses based on defined policies. These policies include content filters for harmful text and image content, denial of specific topics, word filters for undesirable terms, sensitive information filters to redact personally identifiable information, and contextual grounding checks to detect and filter hallucinations in model responses.
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    Decisions

    Decisions

    Decisions

    Decisions Platform is a no-code business automation solution that focuses on data handling, process automation, and business rule execution. Complete with a rule engine, workflow engine, form designer, report and/or dashboard builder, open API and SDK, the Decisions Platform offers a comprehensive business process management solution for large enterprises and software company partners. Built and tested using visual, drag and drop no-code design technologies, Decisions helps organizations manage and automate a number of business processes in a seamless and efficient way.
    Starting Price: $4839.00/month
  • 35
    Shieldstral

    Shieldstral

    Mistral AI

    Shieldstral is a 3B open-weights, policy-adaptive multimodal safety classifier designed to evaluate text, images, and text-plus-image content using policies defined at inference time. Instead of relying on a fixed taxonomy of harm categories, it frames moderation as a binary question-answering task: users provide an instruction describing the evaluation context and strictness, a yes-or-no safety question, and the content to judge. The model reads the “yes” and “no” logits and converts them into a continuous, calibrated safety score, allowing applications to threshold or rank results by confidence rather than depend on a single discrete label. This formulation unifies prompt classification, response moderation, refusal detection, toxicity detection, and multimodal safety in one interface, while letting teams adapt policies without retraining the model. Shieldstral can evaluate prompts, responses, prompt-response pairs, images, and images with accompanying text.
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    LogicGem

    LogicGem

    Catalyst Development Corporation

    LogicGem is an AI-enabled logic processor and decision table analysis tool. It’s designed for software developers and business analysts to create and verify business rules using a decision table methodology. With LogicGem, you can find any missing, ambiguous, redundant or contradictory rules and easily fix them. Programmers can use LogicGem to convert business rules into the functional requirements for a software application, translated into a programming language that becomes part of the application. Business Analysts can use LogicGem to develop concise business rules which represent actual or proposed business processes, creating natural language documentation that describes each rule.
    Starting Price: $99
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    FlowCentric Processware

    FlowCentric Processware

    FlowCentric Technologies

    FlowCentric Processware is a business process management solution that allows organizations to quickly develop process-driven applications. With FlowCentric Processware, users are able to manage complex business processes that run across different devices, systems, and departments. FlowCentric Processware also features activity monitoring dashboards that allow users to gain deeper insight into their processes. FlowCentric Processware is ideal for organisations that want to embrace digital transformation, innovate easily and gain results quickly. Companies use FlowCentric Processware to develop flexible process-driven solutions; extend the life of ERP systems; and add meaningful action to the data collected by IoT devices. The software is perfect for companies with 100+ employees that want to digitise an unlimited number of processes, improve operational efficiency, and enforce legislative controls.
    Starting Price: $13,341
  • 38
    Opal Zero

    Opal Zero

    Opal Security

    Opal Zero is a just-in-time access governance platform for AI agents that inventories every agent, maps it to an accountable owner, decides each access request, and enforces the decision in the MCP gateway already in place. It gives organizations one inventory across identity providers and AI platforms such as Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, showing what every agent can access and who owns it. Risk Center surfaces access that is off-purpose, unowned, or standing and routes issues to the appropriate owner with an inline fix. Paladin evaluates requests using policy and context, identifies the least-privileged path, respects owner boundaries, and shows the reasoning behind each decision. Policy Insights uses real agent behavior to identify unused access and opportunities to improve access policy instead of relying on one-off remediation. Gateway Enforcement writes approved decisions as scoped, time-bound policy into existing gateways.
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    ML Junction

    ML Junction

    ML Junction

    ML Junction gives developers a consistent API for working with multiple AI model providers. It supports OpenAI and Anthropic SDK compatibility, capability-aware routing, retries and fallback, and request-level cost and privacy controls. Its per-request receipts explain which route was selected, the alternatives considered, the policies enforced and the final cost. ML Junction also supports model evaluations, agent observability, and a native LangChain integration. Pricing is usage-based on prepaid credits: provider rates at cost plus one routing fee, or bring your own provider keys. It is designed for teams building AI applications.
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    iLeap

    iLeap

    iLeap

    Build business applications with true agility and transform your business. Multinational Consumer electronic goods manufacturing and distribution Conglomerate. iLeap is a Low-Code Application Development Platform that enables businesses to build world-class enterprise apps, on the cloud, with indomitable speed and efficiency. At iLeap, we want businesses to have the capability to drive invention from inside. We want businesses to take the wheel towards digital innovation rather than technologists ruling them down. iLeap offers a simplistic approach to building apps with drag-and-drop editors which dramatically impacts the productivity of developers. iLeap minimizes rework. Use and customize various modules, business rules and data sets without having to rewrite code from scratch. Create apps that are responsive right from the moment they’re signed off by your tech leaders. Apps built on iLeap are device agnostic and allows business users to easily and seamlessly work anytime.
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    Cloptima

    Cloptima

    Cloptima

    Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.
    Starting Price: $49 per month
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    Progress Corticon

    Progress Corticon

    Progress Software

    Progress Corticon complements your existing applications by automating sophisticated decision processes, reducing development and change cycles by up to 90%. Corticon provides a simplified user experience for IT and business experts to manage their complex digital decisions outside of the application—without coding. Progress Corticon enables a streamlined digital experience by allowing your business to automate complex digital decisions – without having to code. Personalize the experience for individual customers to best meet their needs. For example, a healthcare organization can use Corticon to automate a customer's application for healthcare benefits or to help customize their diet plan after a cardiac event. By personalizing your customer’s experience, you streamline their path through the information and options available.
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    ArtificialQA
    ArtificialQA is a cloud-based platform for testing and evaluating AI agents and chatbots. Teams connect an application, create test cases, and organize them into reusable suites and test plans. Test runs apply configurable AI evaluators and deterministic checks to assess response qualities such as accuracy, relevance, tone, completeness, safety, and hallucinations. Results include scores and response-level explanations, helping teams review behavior, compare versions, and identify regressions before releases. Users can import or create test cases, run browser-based evaluations, and export reports for quality review and traceability. An API supports automated testing workflows, including CI/CD use on paid plans. ArtificialQA is intended for QA teams, developers, product owners, and organizations building or operating conversational AI in areas such as finance, healthcare, government, customer support, ecommerce, and SaaS.
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    GxDash

    GxDash

    GalaxE.Solutions

    GxDash™ provides centralized command control and CxO level decision making with holistic information and implements an enterprise dashboard for all technology tiers, providing automation for building dependency maps, predictive analysis, code and test case generation. GxDash® provides centralized command control based on a custom configured enterprise wide dashboard. Our consultants provide this holistic CxO-level decision making solution that includes an enterprise dashboard for all technology tiers. This dashboard in turn enables automation for building dependency maps, predictive analysis, code and test case generation. This automation reduces risk giving our clients comprehensive test case coverage and significantly reduces the software development timeline. Process handbook, training material, marketing collateral, engagement and deployment model.
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    FICO Blaze Advisor
    As FICO’s flagship rules authoring solution and world’s leading decision rules management system, FICO® Blaze Advisor® maximizes control over high-volume operational decisions. Blaze Advisor provides businesses across multiple industries with a scalable solution that delivers unprecedented agility and actionability for smarter, transparent, and better business decisions. Blaze Advisor empowers business users with multiple methods for rule authoring, testing, deployment, and management, including decision trees, scorecards, decision tables, graphic decision flows and customized templates. It also supports monitoring of business performance captured through user-defined events, providing the building blocks for strategy orchestration and champion/challenger scenarios. Powerful impact and decision analysis capabilities provide explainability and multiple pathways to developing and managing the strategies that will make you successful.
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    Experian PowerCurve Strategy Management
    Positive customer communication isn’t just nice to have. It’s a necessity, and it’s about your bottom line. Satisfied customers buy more products and services. Better customer decisions are a powerful force for raising business performance. Precisely targeted decisions, consistently executed across the Customer Life Cycle, can drive profitability. To increase the pace of improvement and accelerate ROI, you need efficient and effective methods of developing and deploying insightful decision strategies. Stay competitive and adapt to dynamic business conditions, you need agile ways of affecting change. Strategy Management powered by PowerCurve links strategy design with execution; helping you recognize early signs of market and customer behavior changes so you can quickly adapt your decisioning strategies to avoid negative impacts and take advantage of opportunities.
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    Sapiens Decision

    Sapiens Decision

    Sapiens International

    Sapiens Decision for Consumer & Commercial Banking (formerly called Sapiens DECISION) addresses the cost of change. It enables banks to efficiently adapt their operations to the demands of digital transformation, changing regulations, customer demands and increasing competition, using model-driven development (MDD). With the MDD approach, Sapiens Decision for Consumer & Commercial Banking enables business people to define business logic in easily understood models. Business can test the logic before it is deployed. Once code is auto-generated in the required language, such as Java, it may be directly deployed into production environments. With Sapiens Decision for Consumer & Commercial Banking, the bank’s business domain is actively involved in the design, implementation, analysis, testing and optimization of decisions. The process takes days or weeks, instead of months or years. It enforces business logic across all enterprise applications.
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    Harden

    Harden

    Harden

    Harden AIF is an agent endpoint security platform for AI coding agents. It evaluates supported agent tool calls before execution using the developer’s intent, session context, organisational policy, and the effect of the proposed action. Harden helps protect against destructive commands, unauthorized access, unintended data transfers, secret exposure, privilege misuse, and other unsafe agent actions. Legitimate actions can proceed normally, sensitive data in supported flows can be safely redacted, and actions that fall outside the developer’s intent or authority are blocked before execution. Harden works across popular coding agents and agentic development tools including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, providing a consistent security layer across the agent ecosystem.
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    UpTrain

    UpTrain

    UpTrain

    Get scores for factual accuracy, context retrieval quality, guideline adherence, tonality, and many more. You can’t improve what you can’t measure. UpTrain continuously monitors your application's performance on multiple evaluation criterions and alerts you in case of any regressions with automatic root cause analysis. UpTrain enables fast and robust experimentation across multiple prompts, model providers, and custom configurations, by calculating quantitative scores for direct comparison and optimal prompt selection. Hallucinations have plagued LLMs since their inception. By quantifying degree of hallucination and quality of retrieved context, UpTrain helps to detect responses with low factual accuracy and prevent them before serving to the end-users.
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    UndetectedGPT

    UndetectedGPT

    UndetectedGPT

    UndetectedGPT is a content-creation platform designed to help users generate or convert text so that it is indistinguishable from human-written material and avoids detection by AI-detector tools. The platform offers three core tools, AI Humanizer, which takes existing AI-generated text and reworks it to emulate human writing style with natural flow, tone variation and less mechanical structure; AI Stealth Writer, which generates new text from prompts while optimizing it to pass undetected by popular AI-detection systems; and AI Detector, which evaluates your text against multiple detectors and provides a score and analysis of how likely the text is to be flagged. Users can paste AI-generated content to be "humanized," choose a tone (casual, balanced, technical, formal), and then output a final version claimed to present “100% human-written” results for publishing, academia, or marketing, while remaining optimized for SEO and readability.
    Starting Price: $19.99 per month