Best Inficy Alternatives & Competitors

Kayba

Kayba makes AI agents self-improve from experience. It learns from an agent’s execution traces to detect failures, fix them, and measure whether the fix actually worked. Instead of relying on generic evals that cannot explain why an agent failed, Kayba derives failure modes from the agent’s own traces and builds custom benchmarks for the user’s domain, so teams can measure improvement against real production failure patterns. Kayba wires tracing into an agent with one line of setup, watches it around the clock, and flags the moment a step stops being recorded. Even good tracing rots as teams ship changes, and steps can quietly stop being captured; Kayba checks the tracing users already have, shows exactly what is broken, points to the file that needs attention, and sends the gap to a coding agent through MCP. The coding agent patches the issue, and Kayba verifies that the trace is actually closed.

Starting Price: Free

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Atla

Atla is the agent observability and evaluation platform that dives deeper to help you find and fix AI agent failures. It provides real‑time visibility into every thought, tool call, and interaction so you can trace each agent run, understand step‑level errors, and identify root causes of failures. Atla automatically surfaces recurring issues across thousands of traces, stops you from manually combing through logs, and delivers specific, actionable suggestions for improvement based on detected error patterns. You can experiment with models and prompts side by side to compare performance, implement recommended fixes, and measure how changes affect completion rates. Individual traces are summarized into clean, readable narratives for granular inspection, while aggregated patterns give you clarity on systemic problems rather than isolated bugs. Designed to integrate with tools you already use, OpenAI, LangChain, Autogen AI, Pydantic AI, and more.

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Respan

Respan is a self-driving observability and evaluation platform built specifically for AI agents. It enables teams to trace full execution flows, including messages, tool calls, routing decisions, memory usage, and outcomes. The platform connects observability, evaluations, and optimization into a continuous improvement loop. Metric-first evaluations allow teams to define performance standards such as accuracy, cost, reliability, and safety. Respan also includes capability and regression testing to protect stable behaviors while improving new ones. An AI-powered evaluation agent analyzes failures, identifies root causes, and recommends next steps automatically. With compliance certifications including ISO 27001, SOC 2, GDPR, and HIPAA, Respan supports secure, large-scale AI deployments across industries.

Starting Price: $0/month

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Klariqo

Klariqo is the compliance layer for call centers, BPOs, and pay-per-call agencies. It scores 100% of your calls, AI or human, against rules you write, and seals each one into a signed, tamper-evident record you own and can verify independently, built on the open vCon standard and independently witnessed. In regulated outbound (SSDI, ACA, Medicare, Debt Relief), every call becomes audit-ready evidence instead of a 2% QA sample and a 98% blind spot. Klariqo also runs AI voice agents that register directly on VICIdial or any SIP dialer as a remote extension. No Twilio, no dev team, 10-minute setup. 100,000+ calls in production across regulated verticals.

Starting Price: $49/mo/agent

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WCAGdesk

SideLabs

WCAGdesk scans your site against WCAG 2.2 AA and builds a timestamped, tamper-evident audit trail — machine-readable proof for the EU Accessibility Act (EAA) and Germany's BFSG. Unlike overlay tools, WCAGdesk creates a verifiable, time-stamped record of your accessibility work that can withstand legal scrutiny. It generates a GitHub Action / SARIF report and a defensible accessibility statement. Free scan, no signup required. Paid plans start at €29 one-off for a full report, or €149/month for continuous monitoring. Key Features: - Automated WCAG 2.2 AA scanning with SARIF output - RFC 3161 timestamped audit trail (tamper-evident) - Accessibility Statement Generator (EN + DE) - GitHub Action integration for CI/CD pipelines - EAA / BFSG compliance documentation - Free scan with no account required

Starting Price: Free

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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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AgentOps

Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. Track, save, and monitor every token your agent sees. Manage and visualize agent spending with up-to-date price monitoring. Fine-tune specialized LLMs up to 25x cheaper on saved completions. Build your next agent with evals, observability, and replays. With just two lines of code, you can free yourself from the chains of the terminal and instead visualize your agents’ behavior in your AgentOps dashboard. After setting up AgentOps, each execution of your program is recorded as a session and the data is automatically recorded for you.

Starting Price: $40 per month

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Fluq

Fluq is an AI agent observability and orchestration platform designed to give teams full visibility and control over how their AI agents operate in real time. It acts as a centralized “single pane of glass” where every agent action, LLM calls, tool usage, file operations, token consumption, and associated costs are tracked and visualized through detailed waterfall traces. By routing all agent requests through a lightweight proxy, Fluq requires minimal setup and works with any LLM provider or agent framework, allowing organizations to integrate it into existing systems without modifying code. It enables teams to inspect each decision an agent makes, drill into execution steps, and understand exactly how outcomes are generated, improving transparency and debuggability. It also includes governance features such as policy enforcement, spend limits, approval gates, and access controls, helping prevent issues like runaway costs, misuse of tools, or inaccurate outputs.

Starting Price: $29 per month

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Vivgrid

Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.

Starting Price: $25 per month

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AIVM Brain

ChainGPT AI S.A.

AIVM Brain is a governed, verifiable AI knowledge platform shared by a company's employees and its AI agents. It connects existing tools, Slack, Google Drive, Notion, GitHub, Box, Confluence, Salesforce, and Telegram, while preserving each source's original permissions, so users and agents only see what they're cleared to see. Every access is recorded in a tamper-evident, content-blind audit log proving who asked what and what was disclosed, without storing the content itself, and the log is independently verifiable by auditors. Agents query Brain through a governed MCP endpoint with mandates, human-in-the-loop controls, and a kill switch. Brain is model-agnostic, working with Claude, OpenAI, Gemini, or a customer's own model via bring-your-own-key, and never trains on customer data. Enterprise features include SSO, per-tenant isolation, real-time permission revocation, and SOC 2/ISO 42001 in progress. Delivered as hosted SaaS with MCP, SDK, REST API, and CLI access.

1 Rating

Starting Price: $18/month

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AgentScope

AgentScope is an AI-driven agent observability and operations platform that provides visibility, control, and performance analytics for autonomous AI agents across production workloads. It enables engineering and DevOps teams to monitor, diagnose, and optimize complex multi-agent applications in real time by capturing detailed telemetry on agent actions, decisions, resource usage, and outcome quality. With rich dashboards and timelines, AgentScope helps teams trace execution flows, identify bottlenecks, and understand how agents interact with external systems, APIs, and data sources, improving debugging and reliability for autonomous workflows. It supports customizable alerting, log aggregation, and structured event views so teams can quickly surface anomalous behavior or errors across distributed agent fleets. In addition to real-time monitoring, AgentScope provides historical analysis and reporting that help teams measure performance trends, model drift, etc.

Starting Price: Free

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Maxim

Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflows

Starting Price: $29/seat/month

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Orq.ai

Orq.ai is the #1 platform for software teams to operate agentic AI systems at scale. Optimize prompts, deploy use cases, and monitor performance, no blind spots, no vibe checks. Experiment with prompts and LLM configurations before moving to production. Evaluate agentic AI systems in offline environments. Roll out GenAI features to specific user groups with guardrails, data privacy safeguards, and advanced RAG pipelines. Visualize all events triggered by agents for fast debugging. Get granular control on cost, latency, and performance. Connect to your favorite AI models, or bring your own. Speed up your workflow with out-of-the-box components built for agentic AI systems. Manage core stages of the LLM app lifecycle in one central platform. Self-hosted or hybrid deployment with SOC 2 and GDPR compliance for enterprise security.

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Laminar

Laminar is an open source all-in-one platform for engineering best-in-class LLM products. Data governs the quality of your LLM application. Laminar helps you collect it, understand it, and use it. When you trace your LLM application, you get a clear picture of every step of execution and simultaneously collect invaluable data. You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning. All traces are sent in the background via gRPC with minimal overhead. Tracing of text and image models is supported, audio models are coming soon. You can set up LLM-as-a-judge or Python script evaluators to run on each received span. Evaluators label spans, which is more scalable than human labeling, and especially helpful for smaller teams. Laminar lets you go beyond a single prompt. You can build and host complex chains, including mixtures of agents or self-reflecting LLM pipelines.

Starting Price: $25 per month

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OpenFang

OpenFang is an open source Agent Operating System built in Rust that provides a unified runtime for building, deploying, and managing autonomous AI agents at production scale. It packages a batteries-included architecture into a single binary, enabling developers to run agents that operate continuously, build knowledge graphs, and report results to a centralized dashboard without constant user prompts. At the core of OpenFang are “Hands,” pre-built autonomous capability packages that execute on schedules and perform tasks such as lead generation, research, browser automation, and social management. It includes dozens of pre-built agents, native tools, and channel adapters that allow agents to function across platforms like Slack, WhatsApp, Discord, and Teams from a single environment. Security is built into the foundation through multiple defense layers such as WASM sandboxing, cryptographic signing, taint tracking, and tamper-evident audit trails.

Starting Price: Free

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FitForAudit

ReflowAI

ReflowAI is a UK cloud platform that automates statutory compliance for schools, GP practices and care providers. Staff capture evidence at the point of action via app, email or WhatsApp — photos, signatures, tamper-evident timestamps — with records auto-tagged to the relevant framework (CQC, KCSIE/DfE, JCQ, RIDDOR, fire safety, legionella, IPC). It schedules checks, alerts on expiring training, DBS and certificates, tracks defects and incidents, and shows live RAG dashboards with a Fit-for-Audit score. One click generates inspector-ready audit packs filtered by date or regulation. Sector modules: Schools (fire, H&S, premises, exams, Single Central Record); GP (vaccine cold chain, IPC audits, controlled drugs, policy and training tracking); Care (safeguarding, IPC, incidents, multi-home dashboards mapped to CQC/CIW/Care Inspectorate). 90+ digital logbooks, role-based access, offline mobile apps, encrypted European hosting; Cyber Essentials certified and ICO registered.

Starting Price: £100 per month per site

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Langfuse

Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export data

1 Rating

Starting Price: $29/month

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Usermode

Most enterprise AI fails because the model cannot see the data locked inside operational systems. Usermode fixes that: it wraps the systems you already run — ERP, property management, inspection databases, Microsoft 365 — as custom MCP integrations, then deploys a governed fleet of named specialist agents for credit control, compliance, management accounts and bid writing, working across email, WhatsApp and Teams. Every action passes a deny-by-default policy engine; every send needs an approval; a tamper-evident ledger records it all. Live in production across property management and industrial inspection, supervising 3,300+ residential units. You own the IP.

Starting Price: £2,500 (AI Readiness Audit)

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AvonAI

AvonAI keeps your AI agents aligned with your business by monitoring every customer conversation, controlling every interaction, and helping teams trust every outcome at scale. Your agents are live, handling real conversations with real customers, but agents do not manage themselves: they go off-script, drift from policies, and cannot keep up with business changes on their own. AvonAI reads every interaction and surfaces only the ones that matter, including policy violations, hallucinations, missing disclaimers, and other behavioral drift, so teams can find and fix risks in hours instead of weeks. It lets operations teams update agent knowledge and steer behavior in plain language, with no code and no developer ticket, while showing exactly what will change and allowing validation before anything goes live. AvonAI continuously tests agents against business directives, so the moment a model, prompt, or knowledge source changes, teams know whether the agent still behaves as intended.

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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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Voker

Voker is an Agent Analytics Platform for monitoring and improving AI agents in the wild, helping teams make sure their agents are helping, not just responding. It gives builders a way to track what AI agents are saying, identify knowledge gaps, detect abnormalities, and measure improvement over time without digging through logs or waiting for users to complain. Voker connects agent metrics to business outcomes by correlating conversational data with user data that teams are already collecting, making it easier to understand whether an agent is actually improving activation, retention, conversion, support quality, or other product goals. Its self-service analytics are designed for PMs, analysts, and business teams, giving them digestible insights without tickets, bottlenecks, or delays. Developers can install Voker through the SDK, including pip install voker, or use an AI coding tool to scaffold the SDK, add an API key, and instrument an agent in minutes.

Starting Price: $80 per month

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Future AGI

Future AGI is an open-source, end-to-end AI agent engineering platform that covers the full lifecycle: simulate, evaluate, optimize, monitor, protect, gateway, and guardrail - all from one place. It helps teams ship self-improving AI agents by collapsing fragmented tooling into one platform and one feedback loop: simulate edge cases before launch, evaluate what happens in production, protect users in real time, and turn every trace into signal for the next version. Key capabilities include 70+ built-in evaluation templates covering quality, safety, factuality, RAG retrieval, bias, audio, and image evaluation, OpenTelemetry-native tracing, agent optimization, and real-time guardrails (PII detection, prompt injection blocking). SDKs are available in Python, TypeScript, Java, and C#, with integrations for OpenAI, LangChain, LlamaIndex, and 30+ frameworks. Apache 2.0 licensed, self-hostable or cloud-managed.

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Convo

Kanvo provides a drop‑in JavaScript SDK that adds built‑in memory, observability, and resiliency to LangGraph‑based AI agents with zero infrastructure overhead. Without requiring databases or migrations, it lets you plug in a few lines of code to enable persistent memory (storing facts, preferences, and goals), threaded conversations for multi‑user interactions, and real‑time agent observability that logs every message, tool call, and LLM output. Its time‑travel debugging features let you checkpoint, rewind, and restore any agent run state instantly, making workflows reproducible and errors easy to trace. Designed for speed and simplicity, Convo’s lightweight interface and MIT‑licensed SDK deliver production‑ready, debuggable agents out of the box while keeping full control of your data.

Starting Price: $29 per month

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Atronova

Atron Tech Consultants LLP

Atronova DMS turns SharePoint and Microsoft 365 into a true system of record. It adds the governance layer Microsoft leaves out: naming conventions, document registers, reviewer/approver gates, records declaration and retention, full-text search, RBAC, and a complete, tamper-evident audit trail — all behind Microsoft 365 sign-on. Built for mid-size and enterprise organisations already on Microsoft 365 that need control, compliance and findability without ripping out the tools their people already use. Beyond the product, Atronova (Atron Tech Consultants LLP) also provides AI solutions, cybersecurity, Microsoft 365 migrations, cloud-native development and data analytics.

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Lucidic AI

Lucidic AI is a specialized analytics and simulation platform built for AI agent development that brings much-needed transparency, interpretability, and efficiency to often opaque workflows. It provides developers with visual, interactive insights, including searchable workflow replays, step-by-step video, and graph-based replays of agent decisions, decision tree visualizations, and side‑by‑side simulation comparisons, that enable you to observe exactly how your agent reasons and why it succeeds or fails. The tool dramatically reduces iteration time from weeks or days to mere minutes by streamlining debugging and optimization through instant feedback loops, real‑time “time‑travel” editing, mass simulations, trajectory clustering, customizable evaluation rubrics, and prompt versioning. Lucidic AI integrates seamlessly with major LLMs and frameworks and offers advanced QA/QC mechanisms like alerts, workflow sandboxing, and more.

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Papaya

Papaya is the optimization engine for AI agents. Engineers connect their agents via SDK, and Papaya analyzes production traces to find improvements across context, prompts, prompt caching, subagents, and tool calls. It delivers actionable recommendations ranked by quality, latency, and cost impact, with the production runs that produced each finding. Approved improvements can be pushed to production as pull requests. Papaya runs more than 200 research-backed analyses and typically finds a 10%+ quality improvement on the first workflow analysis.

Starting Price: Free

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LangChain

LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.

1 Rating

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Attestly

Attestly is an automated AI governance and compliance platform designed to turn operational execution traces into audit-ready EU AI Act documentation. Built for enterprises, AI engineers, and compliance teams, Attestly continuously captures live AI agent execution logs and generates verifiable evidence for Article 12 compliance. Key Capabilities: - Automated Article 12 Compliance: Continuous, real-time capture of AI agent trace data. - Zero-Trust Cryptographic Ledger: Employs append-only ledgers, cryptographic hash-chaining, and Merkle tree proofs to guarantee evidence immutability. - Regulator-Ready Auditing: Provides independent WASM verifiers for transparent, third-party proof validation without exposing sensitive payload data. - Continuous Runtime Visibility: Replaces periodic manual audits with automated, continuous decision logging and risk tracking.

Starting Price: $79

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Netra

AI agents fail silently in production. Wrong answers, broken loops, cost spikes, behavior drift after a prompt change, and no stack trace to explain why. Netra gives engineering teams full visibility into every agent decision. Trace every LLM call, evaluate quality automatically, simulate edge cases before launch, and manage prompts with complete version history. Built on OpenTelemetry so setup takes minutes, not days. SOC2 Type II certified. GDPR and HIPAA compliant. US and EU data residency. Integrates with: LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI, Anthropic, Gemini, AWS Bedrock, and 30+ more.

Starting Price: $39/month

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Openlayer

Openlayer is the AI governance and observability platform that accelerates the evaluation and observability of agentic systems through 100+ automated tests and real-time guardrails that prevent prompt injections, PII leakage, bias, toxicity, and hallucinations, powering secure enterprise innovation. Designed to support both traditional ML and GenAI systems, Openlayer helps teams seamlessly handle everything from data-quality detection to automating comprehensive model evaluations, with full traceability across RAG, agents, and complex multi-step workflows. Trusted by Fortune 500 companies from early experimentation through production deployment and automated governance capabilities (NIST, EU AI Act, etc.)., Openlayer enables safe, reliable, and responsible AI operations.

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J-KMS

JISA Softech

JISA Softech's J-KMS is a centralized key management system designed to streamline the management of cryptographic keys across various business applications. It automates key updates and distribution, handling the entire lifecycle of both symmetric and asymmetric keys. J-KMS enforces specific roles and responsibilities for key sets, reducing manual tasks and allowing staff to focus on policy decisions. It supports standard key formats and ensures compliance with standards like PCI-DSS and GDPR. Key functions include key generation, backup, restoration, distribution, import/export, audit logging, encryption using Key Encryption Keys (KEKs) or Zone Master Keys (ZMKs), and certification with X.509 or EMV certificates. Benefits of J-KMS encompass reduced human error through user and admin permissions, streamlined processes, cost reduction via automation, dual control with asynchronous workflows, tamper-evident records for compliance, and system-wide key control for any key type and format.

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Guardrol

Guardrol is evidence-grade guard management software for security companies worldwide. It runs your entire guarding operation, including GPS patrols and checkpoints, facial clock-in, incident reporting, an immutable occurrence book, push-to-talk radio, live streaming and access control. Every shift becomes a tamper-evident, digitally signed record. Each of your clients gets their own branded portal to view their sites live and pull signed proof-of-service reports on demand. It runs on managed rugged Android devices, works offline, and is priced per active guard with published pricing, no lock-in, and your own isolated instance. Manpower is the commodity. Proof is the product.

Starting Price: $3.50 / active guard

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Dynamiq

Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle. Key features: 🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale 🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes 🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs 📈 Observability: Log all interactions, use large-scale LLM quality evaluations 🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention 📻 Fine-tuning: Fine-tune proprietary LLM models to make them your own

Starting Price: $125/month

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Lunary

Lunary is an AI developer platform designed to help AI teams manage, improve, and protect Large Language Model (LLM) chatbots. It offers features such as conversation and feedback tracking, analytics on costs and performance, debugging tools, and a prompt directory for versioning and team collaboration. Lunary supports integration with various LLMs and frameworks, including OpenAI and LangChain, and provides SDKs for Python and JavaScript. Guardrails to deflect malicious prompts and sensitive data leaks. Deploy in your VPC with Kubernetes or Docker. Allow your team to judge responses from your LLMs. Understand what languages your users are speaking. Experiment with prompts and LLM models. Search and filter anything in milliseconds. Receive notifications when agents are not performing as expected. Lunary's core platform is 100% open-source. Self-host or in the cloud, get started in minutes.

Starting Price: $20 per month

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Jewelia

Jewelia is revolutionizing jewelry business software, built for independent retailers, wholesalers and manufacturers: every module in one platform, connected, data-driven and AI-powered. Sales manages the complete cycle, including CRM, pipeline tracking, quotes, invoices, payments and bespoke commission records. Point of sale runs the showroom with integrated card payments, trade-in appraisals, live precious metal pricing and parked sales. Inventory tracks every piece across locations with barcode scanning, certifications, live diamond pricing and low-stock alerts. Production handles repairs and custom work with job tracking, technician assignment and automatic customer updates. Memo tracking lets both parties digitally sign every memo and keeps a tamper-evident record of every return, sale and extension, so the full history can be verified at any time. Analytics delivers real-time reporting with AI-driven insights, backed by enterprise-grade security, encryption and daily backups.

Starting Price: $149/month

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Notaron

Notaron is a Remote Online Notary (RON) platform that enables individuals and businesses to securely notarize documents online through live video sessions with licensed notaries. The platform supports a wide range of use cases including real estate closings, legal documents, affidavits, and powers of attorney. Built for both notaries and organizations, Notaron provides identity verification, digital certificates, tamper-evident documents, and compliant audio/video recording. Notaries can serve their own clients or receive orders through the platform, while businesses can streamline workflows with scalable, fully digital notarization processes.

Starting Price: $25

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Axiospec

CaliTech LLC

Axiospec is cloud calibration management software built by CaliTech LLC for teams that run calibration programs and need clean, traceable, audit-ready records. Track every gage and instrument in one place. Log as-found and as-left readings with automatic pass/fail against your tolerances, then issue PDF certificates. A two-person maker and checker e-signature adds accountability to each record, and every entry is written to a tamper-evident, hash-chained audit ledger. When an instrument drifts, reverse-trace in one click to see everything it measured, so you can scope the impact fast. Stay ahead of the work with a Due Calendar that shows what is due, due soon, and overdue, and a live Audit-Readiness Scorecard from 0 to 100. Per-instrument Metrology Insights surface a reliability-based interval, test uncertainty ratio, conformance, and false-accept risk. For deeper metrology work there is AIAG Gage R&R, uncertainty budgets, and a tool crib checkout.

Starting Price: $0/month

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Arato.ai

Arato.ai is an end-to-end platform for structured, reliable, and production-ready LLM development, built to help teams build, evaluate, and scale GenAI apps with confidence. Designed for complex systems but made simple, Arato works with any LLM stack and connects to AI applications as they are, with no rewrites, no heavy setup, and no deep integrations required. It helps teams simulate multi-modal user journeys across text, voice, data, or image, test AI behavior before it reaches customers, and align development with AI compliance requirements such as the EU AI Act and ISO/IEC 42001. Arato Simulate is a black-box simulation platform that runs realistic user traffic against AI applications to test for accuracy, security, compliance, cost, and UX, scored by business impact. It catches what traditional testing misses, including multi-turn conversations, edge cases, adversarial scenarios, persona-specific failures, and large-scale issues.

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Traceloop

Traceloop is a comprehensive observability platform designed to monitor, debug, and test the quality of outputs from Large Language Models (LLMs). It offers real-time alerts for unexpected output quality changes, execution tracing for every request, and the ability to gradually roll out changes to models and prompts. Developers can debug and re-run issues from production directly in their Integrated Development Environment (IDE). Traceloop integrates seamlessly with the OpenLLMetry SDK, supporting multiple programming languages including Python, JavaScript/TypeScript, Go, and Ruby. The platform provides a range of semantic, syntactic, safety, and structural metrics to assess LLM outputs, such as QA relevancy, faithfulness, text quality, grammar correctness, redundancy detection, focus assessment, text length, word count, PII detection, secret detection, toxicity detection, regex validation, SQL validation, JSON schema validation, and code validation.

Starting Price: $59 per month

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Braintrust

Braintrust Data

Braintrust is an AI observability and evaluation platform designed to help teams build, monitor, and improve AI systems in production. It enables users to capture and inspect real-time traces of AI interactions, including prompts, responses, and tool usage. The platform allows teams to measure performance using automated and human evaluations to ensure output quality. Braintrust helps identify issues such as hallucinations, regressions, and performance drops before they impact users. It supports prompt and model comparisons, making it easier to optimize AI workflows over time. With scalable trace ingestion and real-time monitoring, teams gain full visibility into how their AI systems behave. The platform integrates with multiple programming languages and tools, allowing developers to work within their existing tech stack. Overall, Braintrust provides a comprehensive solution for maintaining and improving AI quality at scale.

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Taam Cloud

Taam Cloud is a powerful AI API platform designed to help businesses and developers seamlessly integrate AI into their applications. With enterprise-grade security, high-performance infrastructure, and a developer-friendly approach, Taam Cloud simplifies AI adoption and scalability. Taam Cloud is an AI API platform that provides seamless integration of over 200 powerful AI models into applications, offering scalable solutions for both startups and enterprises. With products like the AI Gateway, Observability tools, and AI Agents, Taam Cloud enables users to log, trace, and monitor key AI metrics while routing requests to various models with one fast API. The platform also features an AI Playground for testing models in a sandbox environment, making it easier for developers to experiment and deploy AI-powered solutions. Taam Cloud is designed to offer enterprise-grade security and compliance, ensuring businesses can trust it for secure AI operations.

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Starting Price: $10/month

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Arize Phoenix

Arize AI

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

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Aeroz

Aeroz is the authentication, tracking, compliance, and connectivity layer for physical products. Bridging physical and digital through NFC-RFID, it lets companies build transparent, secure, intelligent supply chains as a frictionless overlay on existing infrastructure, no rip-and-replace. Every unit carries a tamper-evident cryptographic identity, applied at scale without pre-encoding. AI-driven tracking detects anomalies and optimizes routing, automated compliance reporting and recalls keep the chain audit-ready, and connected packaging turns each product into a direct customer channel.

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COLDCARD

Coinkite

Physical Security. Your seed words are stored in a specialized chip, designed to securely store secrets. All code is open source, and you can compile it yourself. Only hardware wallet with option to never be connected to a computer, for full operation: from seed generation, to transaction signing. Uses PSBT (BIP174) natively! Full-sized numeric keypad makes entering PIN easy and quick. Simple packaging, plain design, no fancy boxes, no redundant cables. Bright, 128x64 pixel OLED screen. Shows all the critical details of your transactions. Real crypto security chip. Your private key is stored in a dedicated security chip, not the main micro's flash. Lovingly soldered in Toronto, Canada. Secure supply chain verified with: tamper-evident numbered bag, with bag number recorded into device. MicroSD card slot for backup and data storage. This allows truly offline signing, by transferring the unsigned/signed transactions on sneakernet.

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Dastia

Dastia is a governed AI management runtime for service businesses, turning company context, decisions and routines into agent-assisted execution with human approval and evidence.

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Aditya Protocol

Aditya Labs

Aditya Protocol is a reviewed-operations control plane for teams using AI agents, scripts, CI/CD, internal tools, and automation near production. It helps technical teams request, review, approve, run, and record important operational actions with human oversight. The product includes reviewed command flows, rationale prompts, approval states, run history, artifacts, access-token guidance, node-token guidance, settings controls, and evidence-oriented workflows. Aditya Protocol is currently open for a small supervised pilot with trusted technical reviewers and service-provider partners. It is not positioned as a broad public launch, certification product, legal-advice product, or replacement for human operational judgment.

Starting Price: $79/month

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Clox

Clox Labs LLC

Clox is time tracking built for hourly trades and field crews: electricians, plumbers, HVAC, roofers, landscapers, general contractors, and other field teams. Workers clock in from their phones in one tap. Punches work offline and sync when signal returns, every hour is tagged to a job and task for costing, and geofenced worksites block off-site clock-ins for the crews you choose. Crews that share one device can punch with a PIN on a tablet kiosk, with an optional clock-in photo. Managers approve the week on the web, and overtime, breaks, lunch rules, and multi-rate pay calculate automatically. Exports are payroll-ready for QuickBooks Online and Desktop, ADP RUN, ADP Workforce Now, Paychex Flex, and Gusto, so there's no re-keying. Every punch is signed and tamper-evident, and anyone can verify a record. One plan with everything included: $29 a month covers 3 users, then $6 per user. Free 14-day trial, no credit card, and a 30-day money-back guarantee.

Starting Price: $29/month

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Acade

Acade is an AI research co-scientist who starts with a research question and turns it into a structured, verifiable research loop. It helps researchers map literature, propose traceable hypotheses, plan experiments, interpret results, and turn the full path into an evidence-backed report while keeping the scientist in control. It is built for human-in-the-loop research, supporting users as they search, compare, critique, and document evidence without replacing scientific judgment. Acade begins with research question intake, capturing the domain, goal, constraints, files, assumptions, and expected decision before the agent starts. It can organize relevant papers, claims, methods, debates, and research gaps into a literature-grounded map while preserving source provenance. It also generates hypothesis cards that compare evidence, counter-evidence, novelty, feasibility, and risk, helping researchers review candidate ideas before execution.

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LangSmith

LangChain

Unexpected results happen all the time. With full visibility into the entire chain sequence of calls, you can spot the source of errors and surprises in real time with surgical precision. Software engineering relies on unit testing to build performant, production-ready applications. LangSmith provides that same functionality for LLM applications. Spin up test datasets, run your applications over them, and inspect results without having to leave LangSmith. LangSmith enables mission-critical observability with only a few lines of code. LangSmith is designed to help developers harness the power–and wrangle the complexity–of LLMs. We’re not only building tools. We’re establishing best practices you can rely on. Build and deploy LLM applications with confidence. Application-level usage stats. Feedback collection. Filter traces, cost and performance measurement. Dataset curation, compare chain performance, AI-assisted evaluation, and embrace best practices.

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Venvera

Venvera is an AI-assisted GRC and compliance automation platform for regulated companies navigating frameworks such as DORA, NIS2, ISO 27001, SOC 2, GDPR, HIPAA, and CMMC 2.0. Cross-framework control mapping lets organisations prove a control once and count it across every active framework. Evidence Autopilot routes collection requests, tracks expiry, and closes controls on approval. Regulatory clocks auto-start DORA, NIS2, and GDPR incident timers on classification. The DORA Register of Information produces xBRL-CSV exports for one-click filing. Third-party risk management covers unlimited vendor questionnaires, sub-outsourcing mapping, and concentration analytics. An AI Virtual CISO delivers regulatory answers grounded in live data using the organisation's own API key. Further capabilities include a risk register, access reviews, policy library, security awareness training, trust center, and tamper-evident audit log.

Starting Price: €399/month flat

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