Alternatives to Axiamatic
Compare Axiamatic alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Axiamatic in 2026. Compare features, ratings, user reviews, pricing, and more from Axiamatic competitors and alternatives in order to make an informed decision for your business.
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1
FinOpsly
FinOpsly
FinOpsly is the Value Control™ platform for Cloud, Data, and AI economics. It helps enterprises move beyond cost visibility to actively control spend and business outcomes through explainable, policy-governed AI automation. Unlike reporting-only FinOps tools, FinOpsly unifies cloud (AWS, Azure, GCP), data (Snowflake, Databricks, BigQuery), and AI costs into a single system of action — enabling teams to plan spend before it happens, automate optimization safely, and prove value in weeks, not quarters. FinOpsly enables enterprises to: Map spend to business value across products, teams, customers, and workloads Explain cost drivers clearly with AI-generated context and root-cause analysis Automate optimization safely using policy-driven, explainable agents Prevent drift and overages before they impact budgets or performance -
2
Drift
Salesloft
Drift is a conversational marketing platform designed to help businesses engage website visitors and convert them into qualified sales opportunities. The platform uses AI-powered chat agents to start real-time conversations with prospects directly on a company’s website. Drift helps marketing and sales teams identify high-intent buyers, answer questions instantly, and guide visitors toward booking meetings or speaking with a representative. By replacing traditional forms with interactive conversations, businesses can improve the buying experience and accelerate lead qualification. Drift also provides insights into website visitor behavior, helping teams understand which prospects are most likely to convert. The platform integrates with existing sales and marketing tools to support a seamless revenue workflow. By combining real-time engagement with buyer insights, Drift helps companies generate more pipeline and close deals faster. -
3
Draftt
Draftt
Draftt is a proactive tech stack governance software that continuously monitors every component’s lifecycle and configuration across clouds, workloads, runtimes, and code to help teams stay ahead of technical debt and avoid unexpected end-of-life risks. It provides full-stack visibility with a unified control plane that maps all technologies, versions, dependencies, and Kubernetes clusters in one place, replacing manual audits and static spreadsheets with live inventory and context. Draftt uses secure, read-only integrations with cloud and developer tools to collect lifecycle metadata, detect version drift, and identify compatibility conflicts early. With AI-driven prioritization and impact scoring, it highlights upgrade risks based on urgency, effort, and business impact, and generates detailed remediation plans tailored to your environment. It delivers structured, step-by-step upgrade paths, prebuilt actions, and automated workflows that can be executed directly from Draftt. -
4
Drift.ai
Drift.ai
Drift is an AI-powered Excel analysis tool designed to help professionals gain deeper insights from financial models and spreadsheets. The platform enhances traditional Excel workflows by making complex models easier to understand, analyze, and query. Drift allows users to ask questions about their spreadsheets and receive contextual insights that support better decision-making. It can detect issues, highlight key drivers, and summarize insights across large multi-tab financial models. The platform also allows users to integrate external context such as documents, reports, and market data alongside their spreadsheets. Drift can write analytical outputs directly back into Excel, ensuring insights remain actionable within the original model. By transforming static spreadsheets into interactive analysis tools, Drift helps teams work faster and make more informed financial decisions. -
5
Ramco Global Payroll
Ramco Systems
Globally, organizations are drifting to unified payroll providers as they bring in structured governance to achieve economies of scale. In this context, a robust, scalable and integrated HR with Global Payroll solution is critical to manage the complexities of payroll processing. -
6
Rationale
Rationale
Welcome to Rationale, a revolutionary AI to assist business owners, managers, and individuals in making tough decisions. Simply enter a pending decision or indecisive options, our latest GPT and in-context learning algorithms will list pros and cons, generate a SWOT analysis, conduct multi-criteria analysis or causal analysis to help you weigh your options. By considering all relevant factors and your background, Rationale helps you make a rational decision. The new outcomes analysis mode will show you the outcomes of your decisions in a causal chain. You will be able to see up to 3 levels of outcomes, in a tree-like structure. Not only immediate outcomes, depending on what happens along the way, the outcomes of the outcomes will also be shown. You can provide more background, context and information about yourself and your business. You can add multiple profiles and switch between them.Starting Price: $9.99 per month -
7
Stambia
Stambia
In a context where data is at the heart of organizations, data integration has become a key factor in the success of digital transformation. No digital transformation without movement or transformation of data. Organizations must meet several challenges. Be able to remove the silos in the information systems. Agile and fast processing of growing data volumes and very different types of information (structured, semi-structured or unstructured data) Manage massive loads as well as ingest the data in real-time (streaming), for the most relevant decisions. Control the infrastructure costs of the data. In this context, Stambia responds by providing a unified solution for any type of data processing, which can be deployed both in the cloud and on site, and which guarantees control and optimization of the costs of ownership and transformation of the data.Starting Price: $20,000 one-time fee -
8
Contextually
Contextually
Contextually is an enterprise AI platform designed to help organizations build and deploy production-ready AI agents that can reason over complex, domain-specific data using advanced context engineering. It provides a unified context layer that connects AI models to large volumes of enterprise knowledge, including documents, databases, and multimodal data, enabling agents to deliver accurate, grounded, and relevant outputs. It allows users to define and configure agents quickly through prebuilt templates, natural language prompts, or a visual drag-and-drop interface, supporting both dynamic agents and structured workflows tailored to specific use cases. It includes tools for ingesting and processing massive datasets from multiple sources, transforming unstructured and structured information into retrievable knowledge with intelligent parsing, metadata generation, and continuous updates. -
9
Reqode
Almware ltd.
Reqode is a structured context layer designed for AI-assisted software engineering. It bridges the gap between product specifications, architecture, and source code — ensuring alignment across teams and AI systems throughout the development lifecycle. As organizations adopt LLMs and AI coding agents, a new challenge emerges: context drift. Requirements evolve, code diverges from specifications, and AI-generated output gradually loses connection to product intent. Reqode solves this by introducing a structured product model that serves as a shared, machine-readable source of truth for both humans and AI. With Reqode, teams can formalize domain logic, requirements, and architecture into a consistent context layer that AI tools can reliably use for code generation, analysis, and refactoring. This enables scalable AI adoption without sacrificing system integrity or traceability. Key benefits: - Structured, AI-ready product context - Alignment between specs, architecture, and codStarting Price: $15/month/user -
10
CloudKnit
CloudKnit
Open-source progressive delivery platform for managing cloud environments. It comes with dashboards to help visualize environments and observe them. Easy to read YAML format to define entire environments in a declarative way. Define entire environments using the declarative format. It enables organizations to define entire environments in a declarative way, Provision them, detect and reconcile drift, and teardown environments when no longer needed. It also comes with dashboards to help visualize environments and observe them. Environment as Code (EaC) is an abstraction over cloud-native tools that provides a declarative way of defining an entire environment. It has a control plane that manages the state of the environment, including resource dependencies, and drift detection and reconciliation. CloudKnit is an open-source progressive delivery platform for managing cloud environments. We currently support easy to use YAML format for the environment definition. -
11
OpenContext
OpenContext
OpenContext eliminates drift and provides the insight DevOps folks need to reduce toil. OpenContext unites all aspects of the socio-technical stack, connecting your code to artifacts in the cloud into a graph-based view. Our always-growing integration ecosystem tells the whole story of your tech stack. OpenContext discovers your socio-technical graph in real time, tracking the data lineage and best practices that ensure your team is audit-ready. We’ll show you exactly who has the relevant knowledge to address the problem, finding your fixer without all the extra effort. That means fewer interruptions, fewer contributors pulled off their regular work, and a much better use of your time and money. OpenContext auto-discovers your technical stack. You can’t afford to let those liabilities stay hidden. It leads to a real scramble to find the key people, your fixers, who know exactly how everything is put together. -
12
FramePack AI
FramePack AI
FramePack AI revolutionizes video creation by enabling the generation of long, high-quality videos on consumer GPUs with just 6 GB of VRAM, using smart frame compression and bi-directional sampling to maintain constant computational load regardless of video length while avoiding drift and preserving visual fidelity. Key innovations include fixed context length to compress frames by importance, progressive frame compression for optimal memory use, and anti-drifting sampling to prevent error accumulation. Fully compatible with existing pretrained video diffusion models, FramePack accelerates training with large batch support and integrates seamlessly via fine-tuning under an Apache 2.0 open source license. Its user-friendly workflow lets creators upload an image or initial frame, set preferences for length, frame rate, and style, generate frames progressively, and preview or download final animations in real time.Starting Price: $29.99 per month -
13
Signal87 AI
Signal87 AI
Signal87 AI is a next-generation document intelligence platform that uses advanced artificial intelligence and autonomous agents to transform static, unstructured, or complex text into structured, actionable insights and searchable knowledge so organizations can make smarter decisions faster. It ingests a wide range of document types, including PDFs, reports, forms, and other enterprise files, and applies AI-driven extraction, pattern recognition, summarization, and classification to convert content into usable data, reducing manual processing and accelerating analytics. It enhances productivity with features such as natural language querying so users can ask questions about their document content and receive context-aware responses, automated organization and tagging of files for easier retrieval, and analytics and reporting tools that surface trends, key metrics, and business signals across document repositories.Starting Price: $29 per month -
14
Augoor
Augoor
Augoor transforms static code into dynamic knowledge, enabling teams to navigate, document, and optimize complex systems effortlessly. By extracting structures, relationships, and context, Augoor builds a living knowledge graph that accelerates the development lifecycle. Its AI-driven code navigation tool accelerates new developer productivity, integrating them into projects from day one. Augoor reduces maintenance efforts and enhances code integrity by pinpointing problematic code segments, saving costs, and reinforcing your codebase. It automatically generates clear, updated code explanations, preserving knowledge, especially for complex legacy systems. The AI navigation system cuts down time spent searching through code, allowing developers to focus more on coding, speeding up feature development, and fostering innovation in large codebases. Augoor's advanced AI-driven visualizations uncover hidden patterns, map complex dependencies, and reveal critical relationships. -
15
THEO
THEO
THEO is an AI-powered platform designed to enhance AI assistants by transforming startups' strategic, product, and market information into an AI-ready knowledge format. This process enables AI tools to comprehend a business's unique value proposition, ensuring context-aware and on-brand outputs from the first interaction. With a quick setup requiring no technical expertise, users can convert their website content and documents into a structured 'digital twin' of their business in minutes. Key features include smart information merging to resolve conflicting data, strategic structure engineering for explicit relationship mapping, and intelligent context mapping to fill knowledge gaps automatically. THEO Growth maintains a central knowledge hub, promoting consistent outputs across all team members and AI tools, thereby reducing repetitive explanations and saving up to 12 hours per week per user.Starting Price: €10 per structuring run -
16
Tensorlake
Tensorlake
Tensorlake is the AI data cloud that reliably transforms data from unstructured sources into ingestion-ready formats for AI applications. It seamlessly converts documents, images, and slides into structured JSON or markdown chunks, ready for retrieval and analysis by LLMs. The document ingestion APIs parse any file type, from hand-written notes to PDFs to complex spreadsheets, performing post-processing steps like chunking and preserving the reading order and layout of the documents. Tensorlake's serverless workflows enable lightning-fast, end-to-end data processing, allowing users to build and deploy fully managed Workflow APIs in Python that scale down to zero when idle and scale up when processing data. It supports processing millions of documents at once, maintaining context and relationships between various data formats, and offers secure, role-based access control for effective team collaboration.Starting Price: $0.01 per page -
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Unstructured
Unstructured
80% of enterprise data exists in difficult-to-use formats like HTML, PDF, CSV, PNG, PPTX, and more. Unstructured effortlessly extracts and transforms complex data for use with every major vector database and LLM framework. Unstructured allows data scientists to pre-process data at scale so they spend less time collecting and cleaning, and more time modeling and analyzing. Our enterprise-grade connectors capture data wherever it lives, so we can transform it into AI-friendly JSON files for companies who are eager to fold AI into their business. You can count on Unstructured to deliver data that's curated, clean of artifacts, and most importantly, LLM-ready. -
18
IBM StreamSets
IBM
IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration. Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds. Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift. Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.Starting Price: $1000 per month -
19
Rosentic
Rosentic
Rosentic is a deterministic code analysis and coordination tool designed to prevent integration failures in environments where multiple developers or AI coding agents work in parallel on the same repository. It integrates directly into CI/CD pipelines and evaluates every pull request against all other active branches, rather than only comparing changes to the main branch. This approach enables it to detect logical conflicts, such as API breaks, schema drift, or function signature mismatches, that traditional tools and git merge checks cannot identify. It operates as a static analysis engine that parses code structure, extracts relevant symbols, and performs precise cross-branch compatibility checks, ensuring that changes in one branch do not silently break code being developed elsewhere. It delivers deterministic results, meaning the same repository state always produces the same findings, and provides exact file paths, line numbers, and explanations.Starting Price: Free -
20
JetStream Security
JetStream
JetStream Security is a security-first AI governance platform designed to give enterprises full visibility, control, and accountability over their AI systems by turning them from opaque, fragmented tools into managed, traceable infrastructure. It acts as a centralized control plane that connects identity, runtime governance, observability, and financial oversight into a single system, allowing organizations to “see every AI action, tie actions to accountable owners, [and] keep workflows inside approved boundaries” while enforcing policy at runtime. It introduces agentic identity, binding human, agentic, and non-human identities to specific actions and access permissions, ensuring every invocation, tool call, or workflow can be traced and governed through least-privilege access principles. Through continuous runtime governance, JetStream compares live AI behavior against approved blueprints, using immutable logging and real-time observability to detect drift. -
21
Idira
Idira by Palo Alto Networks
Idira is Palo Alto Networks’ next-generation identity security platform built for the AI enterprise, designed to secure every human, machine, and agentic identity through one unified control plane. It modernizes privileged access management by extending privilege controls beyond administrators to every identity that can access sensitive systems, data, applications, cloud services, workloads, endpoints, secrets, certificates, SSH keys, and AI agents. It discovers identity risk, applies privilege dynamically, and governs the full lifecycle from first access to final session. Idira replaces static, always-on access with dynamic privilege, just-in-time access, zero standing privilege, continuous verification, policy-driven controls, and real-time enforcement based on identity, device, and context. For human identities, it unifies privileged access, workforce access, endpoint privilege management, and identity governance, helping organizations reduce privilege sprawl. -
22
Viven
Viven
Viven creates “Digital Twins” for employees by building personalized language models trained on a person’s actual work, emails, meetings, documents, and chat threads, so that their twin thinks, writes, and acts like them. The twin serves as an always-on assistant; it recalls critical context, prepares individuals before meetings, nudges teams when things are stuck, drafts follow-ups, and allows colleagues to ask it questions directly so the work can progress without the original person being present. Enterprise-grade deployment options support SaaS, private VPC, or on-premises environments, with fine-grained role-based access controls, full audit trails, and strong data governance built in. Viven integrates with tools like Gmail, Slack, Microsoft Teams, Outlook, Google Drive, OneDrive, Jira, Salesforce, and many others, so that the twin has a complete view of your working context. -
23
Xinspire
Xinspire
A mentoring platform needs to be context-dependent. No two mentoring programs are the same, because no two organizations are the same. Programs have different goals, exist in different cultures, and serve different groups. A faculty mentoring program will look very different from a youth mentoring program. A peer mentoring program will look different from a credentialing program. A searchable network is not the same as a mentoring program. We created the most flexible relationship platform in the world because we understand the importance of context. Whether you’re looking for directory software, a networking platform, or something to run a traditional structured mentoring program, our platform can be configured to do any or all of these things in an integrated manner. No software can replace the role of the program manager. Recognizing that, we designed our platform as a tool for administrators to scale their mentoring programs to thousands and tens of thousands of active users. -
24
Kyvos Semantic Layer
Kyvos Insights
Kyvos is a semantic layer for AI and BI. It gives organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos eliminates metric drift across BI tools and ensures that LLMs and AI agents work with governed business semantics rather than raw tables. Kyvos also delivers lightning-fast analytics at massive scale and high concurrency — including granular multidimensional analysis on the cloud — without the sluggish query times and escalating cloud costs that typically come with it. Kyvos semantic layer provides a unified semantic foundation for AI and BI, standardizing metrics, KPIs, and business logic across tools. It grounds AI in governed business context, eliminates metric drift, and delivers sub-second analytics at scale with high concurrency. It also enables deep multidimensional analysis and reduces cloud costs by serving analytics through its semantic layer. -
25
ClearWork
ClearWork
ClearWork is an AI-powered automated discovery platform for consulting firms and operational excellence teams. Instead of treating discovery as a one-time exercise, ClearWork creates a living knowledge base — a continuously updated, human-validated system of record from which any deliverable is generated with full traceability. AI-guided asynchronous interviews gather structured stakeholder information at scale, automatically synthesized into a growing knowledge base. Process maps, requirements documents, SOPs, and traceability matrices are generated directly from that validated base — and flagged when scope drift makes them stale. ClearWork compresses discovery timelines, standardizes knowledge capture, and closes the gap between what stakeholders know and what deliverables reflect. Automated discovery. Validated knowledge. Traceable deliverables. clearwork.ioStarting Price: $50/user/month -
26
ETL DataHub
ETL
DataHub from ETL Solutions is an enterprise-grade data integration, orchestration, and management platform designed to help organizations connect, harmonize, and operationalize data from diverse sources into a unified, governed, and accessible ecosystem. It enables seamless ingestion and transformation of structured and unstructured data through pre-built connectors and mappings, automated workflows, change data capture, and real-time data pipelines that support analytics, reporting, and AI/ML use cases. Built for hybrid and multi-cloud environments, DataHub centralizes metadata and business logic while enforcing data governance, lineage, and quality controls so stakeholders can trust and act on enterprise data. Its orchestration engine handles complex dependencies and schedules, ensuring data arrives on time and maintains consistency across systems. -
27
Upbound
Upbound
With managed control planes, platform teams can scale to tens of thousands of resources with confidence. Get centralized control of any cloud service providers and any cloud-native tools. Manage all of your cloud infrastructure in one place – any cloud, any cloud native tooling. Upbound Spaces allows organizations to deploy managed control planes in their own environments for compliance and data privacy. Upbound is democratizing the best-kept secret in cloud computing — the control plane. By leveraging custom APIs, cloud engineers are no longer hindered by configuration drift, multiplying workspaces, and frustrated developers. With Upbound, platform engineers get centralized control, governance, and stability and developers get the freedom of self-service. -
28
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 -
29
NVIDIA Agent Toolkit
NVIDIA
NVIDIA Agent Toolkit is a solution stack designed to build, deploy, and scale autonomous AI agents that can reason, plan, and execute complex tasks across enterprise systems. Unlike traditional generative AI, which responds to single prompts, agentic AI uses sophisticated reasoning and iterative planning to solve multi-step problems independently, enabling systems to analyze data, develop strategies, and complete workflows without continuous human input. It integrates multiple components of the NVIDIA AI ecosystem, including pretrained models, microservices, and development frameworks, allowing organizations to create context-aware AI agents that operate using their own data. These agents can ingest large volumes of structured and unstructured data from enterprise systems, interpret context, and coordinate actions across applications to automate processes such as customer service, software development, analytics, and operational workflows. -
30
Bitdive
Bitdive
BitDive is a zero-code quality and test automation platform for Java, Kotlin, Spring Boot and other JVM-based applications that captures real executions and converts them into reusable, deterministic test scenarios you can replay in CI, staging or on a developer machine without writing or maintaining test code. BitDive runs as a lightweight library dependency and records full context from real traffic including HTTP/gRPC requests and responses, method calls, SQL queries with parameters and results, service interactions and timings, enabling deep method-level observability, distributed tracing, performance profiling and semantic drift detection. Its capture-replay-verify loop lets teams automatically generate regression suites and JUnit tests from actual executions, reproduce and debug production bugs locally with full execution chains, eliminate fragile mocks and flaky tests, and validate behavior changes before deployment. BitDive also visualizes service maps and heatmaps.Starting Price: Free -
31
XHawk
XHawk
XHawk is an AI-native developer platform designed to transform scattered code, documentation, and team knowledge into a unified, searchable system of context. It captures every coding session, commit, and decision, automatically organizing them into a living knowledge graph that evolves with the codebase. It converts code changes and development activity into structured, indexed documentation, ensuring that knowledge stays synchronized with every pull request and eliminating gaps between code and documentation. It provides a shared context layer that enables both humans and AI coding agents to plan, code, review, test, and operate systems with a consistent understanding, reducing hallucinations caused by missing context. XHawk includes features such as session intelligence, where every git commit syncs session history and agent reasoning, creating a permanent, searchable record of how software is built. -
32
Braincube
Braincube
Manufacturing is at a crossroads: there is overwhelming pressure to ‘transform’ operations and move into Industry 4.0. It may feel like the weight of the world is on your shoulders as you try digitizing operations, optimizing processes, and increasing share, possibly with fewer resources than before. Braincube helps you take control of your data and transform your operations. We start by connecting your data, from any system, in any format. Your centralized data is continuously updated and available 24/7. Our middleware ingests and cleans your raw data in real-time so you have actionable insights on how to reduce cost and risk, optimize, and improve quality. It automates data manipulation and calculations, which eliminates the long and costly time needed to select, extract, transfer and prepare your data. Your raw data is constantly put in its context and is ready to be analyzed. Now you have structured, contextualized data, a Digital Twin, that you can use any time, on any line. -
33
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. -
34
Boost.space
Boost.space
Boost.space is a no-code agentic database designed to give AI agents and automations the structured business context they need to operate effectively. It centralizes scattered data from CRM, ecommerce, billing, and support systems into a unified Single Source of Truth. The platform enables continuous two-way synchronization across tools, ensuring that information remains accurate and up to date. With built-in AI enrichment, users can classify records, normalize attributes, and generate structured metadata at scale. Boost.space also supports workflow automation through integrations with platforms like Make, Zapier, and n8n. Through its Model Context Protocol (MCP), AI agents can query live data and execute actions across connected systems without relying on static exports. Trusted by thousands of teams globally, Boost.space transforms fragmented datasets into actionable AI-ready infrastructure.Starting Price: $15/month -
35
DriftNote
DriftNote
DriftNote is an AI podcast tool built for both listeners and creators. Listeners paste any Spotify episode link and get structured notes back in seconds: key insights, direct quotes, timestamps, and action items. Every summary syncs automatically to Notion so your podcast notes stay organised and searchable. You can also ask AI follow-up questions about any episode, or listen back to summaries as spoken audio with a choice of voice and delivery style. Creators upload raw audio files and get a full set of production assets generated automatically: show notes, episode titles, chapter markers, and key quotes. A style profile feature analyses your existing episodes to learn your tone, vocabulary, and formatting preferences, so every output sounds like you. DriftNote supports Spotify’s full podcast catalogue and works across every genre. Free to start, with Pro plans for unlimited summaries and full creator features.Starting Price: $0 -
36
Plane
Plane.so
Plane is a modern, all-in-one project management workspace that unites projects, knowledge, and AI-driven agents under a single, powerful platform. Designed for both cloud and self-hosted environments, Plane helps teams plan product roadmaps, track sprints, manage wikis, and automate workflows effortlessly. Its Projects module enables clear visibility into goals, milestones, and dependencies across departments, while the Wiki centralizes documentation, SOPs, and internal knowledge. With Plane Intelligence, teams can ask natural language questions, generate insights, and even automate task creation through AI-powered agents. The platform integrates seamlessly with tools like GitHub, Slack, and Figma, allowing real-time collaboration without context switching. Whether deployed in the cloud or in airgapped infrastructures, Plane offers enterprise-grade privacy, scalability, and a frictionless way to manage progress across the organization.Starting Price: Free -
37
PromptX
VE3 Global
PromptX unifies your data across SharePoint, Google Drive, email, cloud, and legacy systems into a single Enterprise Knowledge System. With AI-Powered Search, users ask conversational questions and get context-aware, verifiable answers in seconds. Auto-ingestion, semantic tagging, smart entity recognition transforms unstructured files, emails, and URLs into Knowledge Cards. Adaptive prompts, split-chat pathways, collaborative workspaces, and agent automations streamline workflows. Deployed across any cloud or hybrid environment, PromptX integrates any LLM or external search engine, PromptX scales to any enterprise, all while providing granular permissions, SSO, audit trails, and built-in AI governance. -
38
Prelint
Prelint
It’s a non-negotiable that shipped code matches product specs, not just that it passes code review. When AI agents move autonomously and fast, code drifts from specs, business rules, and compliance expectations. That drift shows up as rework, missed deadlines, and features that technically work, but break how the product should behave. prelint reduces that drift. It synthesises your specs, tickets, emails, call transcripts, and meeting notes into a product knowledge graph and checks every pull request against those decisions before it merges, so you see which changes quietly contradict the spec while there is still time to adjust. You spend less time re‑opening tickets, fixing last minute issues, or rolling back work that should never have shipped.Starting Price: $30/committer/month -
39
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. -
40
Minute Minder
Minute Minder
Minute Minder is an AI Agenda Assistant for Google Meet. It helps you avoid running overtime with a timer and alert system, and keeps meetings clear and focused by using AI to organise everyone’s speaking time. The simple idea - join a meeting like you always do, but now you have a quiet co-host that does two jobs automatically: - AI Agenda Assistant: it gives the meeting a structure that fits the time - Timer: it keeps time visible so the group stops drifting The value is: AI turns a calendar invite into a timeboxed plan, and the timer nudges the meeting to move forward when it normally stalls. With an AI Agenda Assistant next to the meeting, you don’t start from scratch. You start with a clear goal and a sequence that fits the time you booked. And because you can share it, everyone is aligned early, not after 20 minutes of context switching.Starting Price: $3/month -
41
AgentScope
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 -
42
REGRESSwise
iQspeaks Limited
REGRESSwise is an enterprise-grade regression testing platform built natively for Google BigQuery. Developed by iQspeaks Limited, it enables data engineering and QA teams to automate validation of high-scale data pipelines with fast and reliable before-and-after comparison testing. The platform supports schema validation, row-level comparison, and aggregate-level validation to identify data inconsistencies, schema drift, and transformation issues before production deployment. REGRESSwise integrates directly into existing CI/CD workflows and complements dbt testing by validating output data rather than transformation logic. Built for enterprise environments, REGRESSwise processes millions of data points efficiently while ensuring data integrity, auditability, and low BigQuery compute costs. The platform is ideal for organizations using GCP and BigQuery for analytics and large-scale data transformation workloads.Starting Price: $500 -
43
Timbr.ai
Timbr.ai
Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterprise data into a SQL-queryable knowledge graph, Timbr makes relationships, metrics, and context explicit, enabling both humans and AI to reason over data with accuracy and speed. Its open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, easily accessible model that powers analytics, automation, and LLMs through SQL, APIs, SDKs, and natural language. Timbr lets organizations operationalize AI on their data - securely, transparently, and without dependence on proprietary stacks - maximizing data ROI and enabling teams to focus on solving problems instead of managing complexity.Starting Price: $599/month -
44
Brokk
Brokk
Brokk is an AI-native code assistant built to handle large, complex codebases by giving language models compiler-grade understanding of code structure, semantics, and dependencies. It enables context management by selectively loading summaries, diffs, or full files into a workspace so that the AI sees just the relevant portions of a million-line codebase rather than everything. Brokk supports actions such as Quick Context, which suggests files to include based on embeddings and structural relevance; Deep Scan, which uses more powerful models to recommend which files to edit or summarize further; and Agentic Search, allowing multi-step exploration of symbols, call graphs, or usages across the project. The architecture is grounded in static analysis via Joern (offering type inference beyond simple ASTs) and uses JLama for fast embedding inference to guide context changes. Brokk is offered as a standalone Java application (not an IDE plugin) to let users supervise AI workflows clearly.Starting Price: $20 per month -
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GuardionAI
GuardionAI
GuardionAI is an Agent and MCP Security Gateway that provides unified security for AI agents and Model Context Protocol tools operating on enterprise data. It sits in the execution path to discover, redact sensitive data, enforce protection, and give teams visibility into actions that traditional SIEM, DLP, and identity layers cannot see. Every agent action is inspected, enforced, and logged at the protocol level across AI agents, LLM apps, RAG systems, chatbots, coding agents, MCP servers, internal tools, databases, operating systems, and cloud environments. GuardionAI protects against critical AI threats such as prompt injection, system override, web attacks, MCP tool poisoning, malicious code execution, NSFW content, PII and credential exposure, confidential data leakage, off-topic drift, and unauthorized access, mapped to OWASP LLM Top 10 and agentic AI threat frameworks. Its gateway provides four layers of protection. -
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Contextual AI
Contextual AI
The Contextual AI Platform is an enterprise-grade solution designed to help teams build AI agents that reduce hours of technical work to just minutes. It brings together state-of-the-art context engineering tools, enterprise data management, and production-ready security in one unified platform. With Agent Composer, users can define and configure specialized AI agents using natural language prompts, visual editors, or pre-built templates. The platform supports continuous ingestion and extraction from massive knowledge bases, transforming unstructured enterprise data into actionable intelligence. Contextual AI enables traceable reasoning, fine-grained attribution, and grounded outputs that users can trust. Its robust runtime ensures agents perform reliably at scale across complex document volumes. The platform is built to move organizations from experimentation to production quickly and confidently. -
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Drift
Drift Protocol
Despite the decentralized nature of crypto, centralized derivatives exchanges still remain dominant - they're already fast, familiar and reliable. So far, the DEX trading experience hasn't met that standard. Slippage is high for large orders, transferring funds between platforms is subject to massive gas fees, and low liquidity leads to poor pricing. Drift’s goal is to bring a state-of-the-art trader-centric experience from centralized exchanges on-chain. We're a team of experienced traders and builders from DeFi and traditional finance working together to make this a reality. Powered by Solana’s low latency blockchain. Take multiple positions using a single pool of collateral. Immediate liquidity from listing. Trade instantly. When you trade against Drift’s vAMM, you know exactly the price you transact at. -
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HyperComments
MIDDLEWARE, Inc.
The HyperComments system, hosted and powered by hypercomments.com, makes for meaningful context remarks, nested and topicated respectively to facilitate further discussions. Logical breakdown of both standard and HyperComments is inviting to a reader, provide a larger scope, better readability – helping one to make sense of it all, nothing short of your conversational counterpart 'mind-reading'. HyperComments is featuring: In-depth interaction with text; Topicated comments miscellanea; Real-time visibility of 'same page' readers, real-time survey of responses to your comments; Tree-structure and nesting view of comments; Powerful moderation and administration tools across the board; Full spam filtering, blacklists and whitelists, removing, restoring, moderator-responses; Analytics, breakdown of HypeStarting Price: $11 per month -
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Momo
Momo
Momo is an AI-augmented workplace memory platform that automatically builds a centralized, searchable company memory by connecting to a team’s existing productivity and communication apps such as Gmail, GitHub, Notion, and Linear, capturing work context, decisions, ownership, and ongoing work without manual note taking or daily status updates. It continually listens to activity and events across integrated apps to extract structured context and relationships between projects, customers, tasks, and decisions, keeping this live memory up to date so teams can search and visualize progress, dependencies, and historical context in one place. By eliminating the need to repeatedly ask what teammates did or to hunt through threads for decisions buried in conversations, Momo helps remote teams, cross-department collaborators, and distributed workforces reduce friction, accelerate onboarding, and maintain coherent context across workstreams. -
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AutoCloud
AutoCloud
Maintain visibility into multi-cloud security, compliance, cost, and drift with automated infrastructure diagrams, change tracking, and a GraphQL API. After an easy, agentless onboarding, AutoCloud continually gathers and standardizes your multi-cloud, multi-environment data, then provides a variety of methods to interact with it. Even small updates can cause unexpected application outages, performance degradation, or security incidents that take days to track down. Spot where problems were first introduced with "git diff" for your cloud Prevent incidents and stay on top of configuration drift with intelligent alerts. Digging through static, text-heavy security and compliance reports to find actionable information. Cross-referencing information from multiple third party tools with provider consoles. AutoCloud's custom visualization engine makes gathering insights easy.Starting Price: $1500 per month