Alternatives to Agnost AI

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

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    Smartlook

    Smartlook

    Smartlook

    Smartlook is a qualitative analytics solution for websites and mobile apps helping over 300,000 businesses of all sizes and industries answer the "whys" behind their users' actions. Eliminate the guesswork and discover real, actionable reasons. With a unique feature set, Smartlook finally gives you a way to understand user behavior at the micro level. Always-on visitor recordings show you what every last visitor does on your website or app, while automatic event tracking lets you know how (and how often) your visitors do specific things. You can then build conversion funnels to see your conversion rates as well as uncover why people are churning. Heatmaps for websites give you mass data about where most people click, scroll, hover, and otherwise interact with your pages. Ranked within the Top 100 Software Products in the 2019 G2 Crowd Awards, Smartlook services customers like O2, Miele, Hyundai, and Kiwi. It can also record games developed in the Unity engine.
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    Starting Price: $39 per month
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    Quaeris

    Quaeris

    Quaeris, Inc.

    Align analytics to your everyday business workflows. Your business relies on people, data and documents, but the process of using them is broken. QuaerisAI enables seamless downstream workflows across your People, Documents and Data Assets. Use natural language search on data, documents and collaborate in private or within Communities - all in one platform! QuaerisAI offers time savings of at-least 30 minutes to an hour/day/resource - imagine the productivity enhancements you give your users without the expense of buying and consolidating a bunch of AI tools. Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!
    Starting Price: $100 per month
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    Heap

    Heap

    Contentsquare

    Heap is a comprehensive digital insights platform that provides businesses with a complete understanding of their customers’ journeys. By automatically capturing all user interactions across web and mobile platforms, Heap offers actionable insights to optimize conversion, retention, and user experience. The platform uses advanced data science to identify moments of friction and opportunity, allowing businesses to make data-driven decisions quickly. With powerful tools like session replay, heatmaps, and AI-powered insights, Heap enables businesses to understand and improve user behavior at every touchpoint.
    Starting Price: $500.00/year
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    Kayba

    Kayba

    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.
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    Netra

    Netra

    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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    Langfuse

    Langfuse

    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
    Starting Price: $29/month
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    cux.io

    cux.io

    cux.io

    CUX is a Digital Experience Analytics platform that turns user behavior into digital growth. We don’t just show you what users do – we show you why they do it. CUX combines numbers with behavioral context to reveal frustration points, drop-offs, and hidden opportunities so you can act with confidence. No tagging. No waiting. Smarter decisions from day one. ✅ Auto-captures clicks, scrolls, and behaviors - no tagging needed ✅ Experience Metrics spot frustration signals like rage clicks and chaotic movement ✅ Smart filtering highlights the visits and heatmaps that matter most ✅ Conversion Waterfalls reveal where users drop off - and why ✅ Retroactive analysis lets you look back and fix what was missed Getting insights is just the start. What truly sets CUX apart is the guidance that comes with it. You’re never left to figure it out alone. With expert mentoring, tailored workshops, and ongoing support, the CUX team helps you make changes that stick.
    Starting Price: €79 per month
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    RagMetrics

    RagMetrics

    RagMetrics

    RagMetrics is a production-grade evaluation and trust platform for conversational GenAI, designed to assess AI chatbots, agents, and RAG systems before and after they go live. The platform continuously evaluates AI responses for accuracy, groundedness, hallucinations, reasoning quality, and tool-calling behavior across real conversations. RagMetrics integrates directly with existing AI stacks and monitors live interactions without disrupting user experience. It provides automated scoring, configurable metrics, and detailed diagnostics that explain when an AI response fails, why it failed, and how to fix it. Teams can run offline evaluations, A/B tests, and regression tests, as well as track performance trends in production through dashboards and alerts. The platform is model-agnostic and deployment-agnostic, supporting multiple LLMs, retrieval systems, and agent frameworks.
    Starting Price: $20/month
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    Maxim

    Maxim

    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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    Fumblemap

    Fumblemap

    Fumblemap

    Fumblemap is the premier open source network discovery and error visualization utility. Designed for system administrators, software developers, and IT professionals, Fumblemap takes the guesswork out of diagnostic troubleshooting. When your network configurations fail or data packets get dropped, our tool helps you trace the exact point of failure through an interactive and highly intuitive visual map. Core Features * Real time error tracking and packet visualization * Interactive network topology mapping * Cross platform compatibility across major operating systems * Comprehensive logging and export options * Fully open source and community driven
    Starting Price: $9/month
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    SessionStack

    SessionStack

    SessionStack

    SessionStack is an AI-enhanced Digital Experience Analytics platform based on best-in-class session recording technology that allows e-commerce businesses to identify where customers are getting stuck and dropping off, and what conversion opportunities are being missed. The insights generated by the platform serve as a fast track to improving the entire user experience with data-backed conversion rate optimization. SessionStackAI and our proprietary machine-learning models are the ideal partners for all e-commerce decision makers who are laser-focused on revenue. SessionStackAI blends qualitative and quantitative user data to provide the full picture of any website or mobile app interaction. The platform’s auto-capture capabilities and retroactive data history help ensure that there are no gaps in the analysis, identifying any friction points or new conversion opportunities as you go.
    Starting Price: Upon request
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    LayerLens

    LayerLens

    LayerLens

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

    neatlogs

    neatlogs

    neatlogs is a collaborative debugging and AI reliability platform that provides all the tools your team needs to identify, understand, and fix AI agent issues efficiently Here’s what you can do today: - Trace and replay: See what your agent did, step by step. - Detect failures: Automatically flag traces using conditions, patterns, and classifiers. - Investigate: Ask Neat AI to investigate runs and turn its findings into fixes. - Evals: Route traces to human or AI reviewers and measure quality over time. - Experiment: Version prompts, test changes, and evaluate them against datasets. - Fix: Review AI-generated fixes and dispatch them to your coding agent. - Connect your tools: Connect your apps through Tools and MCPs so Copilot and Neat Agent can use them on your behalf. - Track production: Monitor cost, latency, errors, tools, and detection trends across your traces. Unlike other tools that are built only for technical audiences, neatlogs is accessible and understandabl
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    Formo

    Formo

    Formo

    Formo makes analytics and attribution simple for DeFi apps so you can focus on growth. Get the best of web, product, and onchain analytics in one place. GA / Mixpanel designed for web3. Formo's platform sifts through fragmented web2 and web3 data to present a unified view of your users and product health, empowering you to build products people want. Formo allows you to monitor and analyze the end-to-end user journey, from engagement on offchain channels to the final conversion onchain. 📊 Measure KPIs. Track visitor counts, DAU, WAU, MAU, transactions, retention, and churn. Measure engagement and growth over time. 🎯 Onchain attribution. Identify the top channels and growth initiatives that drive onchain activity. Understand where users come from. 🏃‍➡️ Optimize your funnel. Track key touchpoints across the full user journey from offchain to onchain: pageviews, wallet, transactions, volume, and retention.
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    Conversion Crimes

    Conversion Crimes

    Conversion Crimes

    Every store is losing money somewhere, how do you learn what stops the sale on your store? simple, get intel from real users showing exactly where to find it. The only way this intel can be found - is by watching. Something anyone can do. Our tester agents visit your store while recording their screen and talking you through their experience. Forget guesswork and siloed experiments! Optimize your online store based on data gathered from real users — learn where they get frustrated and you lose the sale. Their unfiltered feedback might be painful, but it will be eye-opening. Real users, finding real problems. They'll pull apart your store and give you the cold hard facts on anything you ask them! Watch them get frustrated, confused, or lost - revealing exactly where the friction to their buying experience is. Once they’re done, we’ll send the video over so you can understand their experience. Identify the friction and eliminate it, leading to improved conversion & more profit.
    Starting Price: $10 per test
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    Future AGI

    Future AGI

    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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    Decibel

    Decibel

    Decibel

    You don’t have time to analyze every session replay. Decibel’s AI does. Harness the power of DXS® – the world’s most sophisticated algorithm for optimizing digital experiences. Tap into DXS®, the world’s biggest brain for improving digital experiences. Instantly receive the insights you need to radically increase online conversion, engagement, and customer loyalty. Honing for years on high-traffic websites, Decibel’s DXS® crunches billions of digital experiences a month to power an unparalleled engine of insight. Immediately after installation, Decibel applies its intelligence to your website – showing you trends in user frustration and engagement, and scoring and surfacing poor experiences. Investigate further with deep, powerful visualizations that enable you to step into your users’ shoes, understand their pain, and prioritize improvements with your team. Decibel enriches your favorite tools with data about the quality of digital experiences.
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    Oqoqo

    Oqoqo

    Oqoqo

    Oqoqo is a platform for building evals and custom benchmarks for real-world agentic tasks, letting teams run experiments at scale in realistic environments on fully managed cloud infrastructure. Users can define private task sets and rubrics, test whether agents can use products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, and compare agents, models, treatments, and effort levels under the same conditions. Each task runs independently in its own isolated environment with the project state, context, files, tools, and credentials it needs. Oqoqo captures the full trajectory of every run, including commands, tool calls, errors, files, and where an agent stopped, then reports pass or fail results, pass rates, lift, token usage, and friction. Teams can use these insights to identify product interface issues, token inefficiencies, and performance differences, fix what failed, and rerun the experiment.
    Starting Price: $20 per month
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    Sprig

    Sprig

    Sprig

    Go beyond analytics and elevate your product with user insights, delivered fast. Capture insights from specific user cohorts based on their characteristics and the actions they take in your product. Leverage the full Sprig platform to learn from your users across every stage of product development. Record clips of your user sessions alongside their in-product feedback. Surface and solve pain points in your core flows before they become problems. Learn what your power users love, hate, and want to see next in your product. Identify user behavior patterns that lead to churn and learn how to reduce them.
    Starting Price: $175 per month
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    TierZero

    TierZero

    TierZero

    TierZero Production Agents investigate incidents, triage alerts, and fix production problems automatically so your engineers can ship faster. When an incident fires, TierZero joins and starts investigating across your full stack: logs, traces, metrics, deploys, code changes, and past incidents. Unlike standalone AI SRE tools that stop at triage, Production Agents cover the full post-merge lifecycle including investigation, remediation, support Q&A, and proactive discovery. TierZero’s Context Engine synthesizes signals from code, infrastructure, conversations, and documents into a living knowledge graph that gets smarter with every issue resolved. Deploy in your environment in under an hour. Every AI investigation is auditable. Built for regulated industries (fintech, healthcare, crypto) where security isn’t optional.
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    Trusys AI
    Trusys.ai is a unified AI assurance platform that helps organizations evaluate, secure, monitor, and govern artificial intelligence systems across their full lifecycle, from early testing to production deployment. It offers a suite of tools: TRU SCOUT for automated security and compliance scanning against global standards and adversarial vulnerabilities, TRU EVAL for comprehensive functional evaluation of AI applications (text, voice, image, and agent) assessing accuracy, bias, and safety, and TRU PULSE for real-time production monitoring with alerts for drift, performance degradation, policy violations, and anomalies. It provides end-to-end observability and performance tracking, enabling teams to catch unreliable output, compliance gaps, and production issues early. Trusys supports model-agnostic evaluation with a no-code, intuitive interface and integrates human-in-the-loop reviews and custom scoring metrics to blend expert judgment with automated metrics.
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    Halosight

    Halosight

    Halosight

    Companies of all sizes rely on Halosight AI and NLP to power support effectiveness and analyze help desk signals. Unlock support signals while driving operational effectiveness. Spot opportunities to innovate. Customers choose Halosight to deliver positive support outcomes using untapped service cloud data. Innovation depends on doing more with data trapped in tickets and case histories. Halosight customers leverage AI and NLP to discover new opportunities. Information turns into action when agents have access to insights. Arm them with the ability to proactively solve issues instead of dealing with problems after the fact. Don't scroll through long lists of case reasons. Halosight automates case categorization to streamline routing and workflow processes using AI. Track new support signals that drive case deflection, knowledge management, and agent efficiency. Salesforce is our home, not just another integration. Delivered via the Salesforce App Exchange, installed in your instance.
    Starting Price: $2,500 per month
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    Amplitude

    Amplitude

    Amplitude

    Amplitude is a digital analytics platform that helps organizations understand user behavior, improve customer experiences, and accelerate product growth with AI-powered insights. The platform combines product analytics, web analytics, session replay, experimentation, feature management, data governance, and AI agents in a single solution. Its AI capabilities allow teams to ask natural-language questions, automate recurring analysis, and receive actionable recommendations directly within their preferred AI tools. Amplitude also enables businesses to launch experiments, personalize user experiences, collect customer feedback, and measure the impact of every product change. With integrations, governance controls, and enterprise-grade security, it provides trusted data for product, engineering, marketing, and executive teams. Amplitude helps organizations make faster, data-driven decisions that improve acquisition, retention, monetization, and overall digital experiences.
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    Trace

    Trace

    Trace

    Trace is an AI-native PCB design platform that takes hardware teams from idea to manufactured board. It combines professional schematic capture and PCB layout tools with intelligent agents that understand hardware in context. Users describe what they want to build in natural language, and Trace can research the problem, generate hierarchical multi-sheet schematics, parse datasheets, suggest components, check real-time availability, place parts, route multi-layer boards, tune matched-length signals, and run ERC, DRC, and design reviews. Its component library includes more than 30,000 symbols and footprints, with sourcing data from major distributors. Plan Mode researches complex tasks, asks clarifying questions, creates a step-by-step plan, and executes only after approval, while TraceRules preserves component preferences, layout constraints, and manufacturing targets across conversations.
    Starting Price: $20 one-time payment
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    Aspecto

    Aspecto

    Aspecto

    Troubleshoot performance bottlenecks and errors within your microservices. Correlate root causes across traces, logs, and metrics. Cut your OpenTelemetry traces cost with Aspecto built-in remote sampling. How OTel data is visualized impacts your troubleshooting abilities. Go from a high-level overview to the very last detail with best-in-class visualization. Correlate logs and traces. From logs to their matched traces and back with one click. Never lose context and resolve issues faster. Use filters, free-text search, and groups to search your trace data and quickly pinpoint where in your system the problem is occurring. Cut your costs by sampling only the data you need. Sample traces based on languages, libraries, routes, and errors. Set data privacy rules to hide sensitive fields within trace data, specific routes, or anywhere else. Connect your day-to-day tools with your workflow. Logs, error monitoring, external events API, and more.
    Starting Price: $40 per month
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    Humanic

    Humanic

    Humanic AI

    Humanic automatically generates your product onboarding milestones and provide ultra-precise segments per milestone. ‍ This uses a mix of user activity and profile data from your product. Generate content based on what users do in your product and how they respond to your every nudge. Humanic learns what’s working and what's not for your users at each milestone and regenerates the email content automatically. Measure impact of the campaigns you send instantly to goals that matter - like conversion or retention. ‍ Unlock the full potential of your data to drive meaningful, personalized experiences at scale.
    Starting Price: $995 per month
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    Code Fundi

    Code Fundi

    Code Fundi

    Code Fundi is a codebase intelligence platform that powers AI agents, engineering teams, and applications with a searchable map of software repositories. Instead of relying on grep, raw embeddings, or disconnected documentation, it ingests a repository from a URL or GitHub, maps files, functions, dependencies, and logic flows, removes boilerplate noise, and converts the result into a token-optimized representation ready for AI context windows. Its Blast-Radius Guard shows which files, services, and downstream behaviors may be affected before an agent changes code, helping teams prevent silent regressions and production failures. Universal Search runs sub-second semantic queries across one repository or hundreds of codebases, allowing users to find implementation patterns, compare architectures, inspect authentication or testing strategies, and trace how code works across projects.
    Starting Price: $21 per month
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    Mitzu

    Mitzu

    Mitzu.io

    Mitzu is an agentic analytics platform that runs your analytics directly on your data warehouse — no data copying, no reverse ETL, no SQL required. Its AI analytics agent answers business questions autonomously: it maps your schema, writes and executes queries on Snowflake, BigQuery, Redshift, Databricks, or ClickHouse, and returns explainable results with full SQL visibility. Teams get instant access to funnels, retention, cohorts, user journeys, and revenue metrics. Mitzu also proactively monitors KPIs and sends anomaly alerts via Slack or email. Available as SaaS, BYOC, or fully self-hosted. Free trial available at mitzu.io
    Starting Price: $35 per month
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    LaunchDarkly

    LaunchDarkly

    LaunchDarkly

    LaunchDarkly is the runtime control platform for the AI era. It includes two solutions: CodeControl and AgentControl. CodeControl helps teams ship AI-generated code safely with feature flags, progressive rollouts, observability, Experimentation, and automatic recovery—so they can move fast without losing control. AgentControl helps teams manage AI agents in production by configuring prompts and models, monitoring behavior, and taking action in real time without redeploying. Together, they help teams ship AI-built software with confidence, reduce risk, optimize AI performance and cost, and adapt continuously.
    Starting Price: $12 per month
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    Uxcam

    Uxcam

    uxcam

    UXCam is the market leader in app experience analytics, empowering mobile teams with fast, contextual and high-fidelity insights. UXCam is the market leader in app experience analytics, empowering mobile teams with fast, contextual and high-fidelity insights. Record, analyze and share sessions and events to uncover app usage patterns. Discover the "why" behind user behavior. Go from quantitative app metrics to qualitative insights. Replay sessions with custom events. Set up event-based funnels and zoom in on funnel segments. Get a complete overview of how users engage with and navigate through your app. Identify drop-off points and screens suffering from UX issues. Identify and fix design bottlenecks within your app. Uncover how users behave on every screen. Continuously improve UX to reduce churn and improve retention. Identify and resolve app crashes, bugs and UI freezes. Export technical logs and share impacted sessions with other teams to ensure smooth release cycles.
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    OpenAgents

    OpenAgents

    OpenAgents

    OpenAgents is an open source framework and platform for building, connecting, and deploying networks of AI agents that can discover, communicate, collaborate, and solve problems together rather than operating in isolation, enabling developers to launch and join agent communities that work at scale and share resources seamlessly. It provides infrastructure for AI agent networks where each network acts as a self-contained community with peer discovery, message passing, and coordinated collaboration over flexible protocols such as HTTP, WebSocket, and gRPC, and is designed to be protocol-agnostic and compatible with popular large language model providers and agent frameworks to support diverse deployment scenarios. Users can build their own agents with simple configurations or integrate custom logic and tools, connect them to one or more networks, and manage interactions using OpenAgents’ standard interfaces.
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    AvonAI

    AvonAI

    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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    Activeloop

    Activeloop

    Activeloop

    Activeloop provides a continuous learning infrastructure for teams building software, agents, and data pipelines. Its core product, Deeplake, is the GPU database for agents, built around the idea that if your AI is on a GPU, your data should be too. Deeplake is designed to keep AI agents grounded, versioned, queryable, and GPU-native by combining vector and tensor data in one store, with GPU streaming to fine-tuning and a serverless Postgres interface. It gives teams a data engine for multimodal AI, allowing them to store, index, search, and stream data to models and agents. Instead of treating AI data as scattered files, embeddings, metadata, and traces across disconnected systems, Activeloop brings them into an infrastructure that can support retrieval, model development, fine-tuning, and agent memory workflows. It also includes Hivemind, where agent traces become team skills, so work solved once can be shared across the organization through trajectory capture.
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    Luciq

    Luciq

    Luciq

    Luciq is an AI-powered mobile observability platform designed for app developers and enterprises to monitor, diagnose, and improve mobile applications seamlessly. The solution brings together bug reporting, crash analytics, session replay, and performance monitoring in one unified SDK that supports Android, iOS, web and hybrid apps. It enables users to capture detailed device logs, network traces, annotated screenshots, videos and user feedback, while automatically correlating events and errors using machine learning to prioritize issues by impact. Developers gain visibility into user sessions where things went wrong, reproduce defects through replay, and resolve issues faster using integrations with JIRA, Slack, Zapier, Zendesk and other tools. With Luciq’s “Agentic Mobile Observability” approach, the system surface the most critical problems, suggests root-causes and even recommends remediations, helping teams increase velocity, improve app stability and enhance user experience.
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    Atla

    Atla

    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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    RevDeBug

    RevDeBug

    RevDeBug

    Out-of-the-box debugging for microservices. Instantly find the code that broke your service, even for hard to reproduce errors. Understand every request, every outlier, every problem without additional logging and error reproduction. See the root causes for each error with full context from logs, metrics, traces and failed code execution. End-to-end tracing with automatic instrumentation – see logs, metrics, traces and failed code execution history. In-depth performance monitoring. Quickly identify and remove application bottlenecks. Real-time topology discovery with full dependency visibility across all services. Highly customizable dashboards and notifications to spot problems before users report them. Automatically document failed tests and errors. Make every failure actionable and easy to debug. Create a fast feedback loop between testers and dev teams throughout development cycle.
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    devtodev

    devtodev

    devtodev

    devtodev is an ultimate product analytics platform for data-driven teams to get valuable insights and influence user decisions. With devtodev you can convert users into paying users, improve in-app economics, predict churn, revenue and customer lifetime value, as well as analyze and influence user behavior.
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    AgentHub

    AgentHub

    AgentHub

    AgentHub is a staging environment to simulate, trace, and evaluate AI agents in a private, sandboxed space that lets you ship with confidence, speed, and precision. With easy setup, you can onboard agents in minutes; a robust evaluation infrastructure provides multi-step trace logging, LLM graders, and fully customizable evaluations. Realistic user simulation employs configurable personas to model diverse behaviors and stress scenarios, and dataset enhancement synthetically expands test sets for comprehensive coverage. Prompt experimentation enables dynamic multi-prompt testing at scale, while side-by-side trace analysis lets you compare decisions, tool invocations, and outcomes across runs. A built-in AI Copilot analyzes traces, interprets results, and answers questions grounded in your own code and data, turning agent runs into clear, actionable insights. Combined human-in-the-loop and automated feedback options, along with white-glove onboarding and best-practice guidance.
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    UserIQ

    UserIQ

    UserIQ

    Since 2014, UserIQ has helped businesses realize the full value of customer success by equipping teams with the product intelligence, customer insights, and user engagement tools needed to fight churn, grow the account, and align the entire business around users’ needs. UserIQ empowers CS teams to focus all departments on achieving users’ unique goals. With our platform, customer success becomes a business mindset, not just a function.
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    Zipkin

    Zipkin

    Zipkin

    It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. The Zipkin UI also presents a dependency diagram showing how many traced requests went through each application. This can help identify aggregate behavior including error paths or calls to deprecated services.
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    LiveSession

    LiveSession

    LiveSession

    LiveSession helps you analyze users’ behavior, improve UX, find bugs, and increase conversion rates using session replays, and event-based product analytics. Visualization of your website’s hottest sections will enable you to increase the number of actions. Console logs will let you get rid of errors that lead to user’s irritation and, in the end - lower your conversion rates. Send product-specific events via our Javascript API to better reflect the user's experience. Enrich user sessions to build a single source of truth. Organizing visitors' paths into funnels, you will be able to analyze your customers' journeys to purchase.
    Starting Price: $49 per month
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    Apodex

    Apodex

    Apodex

    Apodex is a self-evolving heavy-duty solver for deep research, built to answer the questions that matter with verified reasoning rather than a quick chat reply. It reasons through hard problems step by step, checks every conclusion before moving to the next, and produces a verified brief with citations in every report. Designed for complex inquiries with no easy existing answer, Apodex performs deep research, explores evidence, and verifies each step so users can trust how the final conclusion was reached. Signed-in users can save every inquiry, return, and continue anytime, search across threads, branch off any report, and review a step-level reasoning trace. Apodex-1.0 is a verification-centric model for deep research that can run as a standard tool-using ReAct agent, while its heavy-duty mode deploys an asynchronous agent team where specialized sub-agents handle retrieval and verification, route findings through a shared evidence pool, and feed a global verifier.
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    Evalgent

    Evalgent

    Evalgent

    Evalgent is an AI voice agent testing and evaluation platform. AI voice agents fail in production not because the technology is weak, but because demos use clean audio and cooperative users — real users don't. Evalgent catches failures before they reach production, cuts iteration cycles, and gets voice agents to revenue faster. HOW IT WORKS 1. Define: lock real scenarios and success criteria. 2. Run: run them under realistic human behavior. 3. Measure: see what works, what fails, and where limits lie. 3. Act: get clear, actionable insights on what to fix, tune, or deploy. FEATURES 1. Scenarios: define and generate test cases from agent instructions 2. Caller Profiles: simulate real users across accents, speech pace, and interruption patterns 3. Metrics: custom LLM-based and telemetry scoring across every conversation 4. Evaluations: structured campaigns with pass/fail verdicts and improvement recommendations 5. Reviews: human-in-the-loop correction with full audit trail
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    blume

    blume

    blume

    Blume is a desktop sidecar for AI coding agents that helps developers see what every agent is doing, keep project context consistent, and catch drift before it reaches the codebase. It works with tools including Cursor, Claude Code, Codex, omp, and Pi, bringing agent activity, hidden files, skills, hooks, rules, and provider usage into one place. The Agents view shows whether each coding agent is working, finished, or waiting for approval, while Setup exposes the instructions and configuration files shaping agent behavior. Usage tracking shows remaining plan limits and token burn across providers such as Claude, Codex, and Cursor so developers can avoid unexpected interruptions. Blume stores conversation history locally on the device and reviews rules, skills, and hooks on-device. Its Improve workflow looks for repeated signals of friction across conversations, clusters similar issues, and proposes concrete changes such as new rules or reusable skills.
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    Trace.Space

    Trace.Space

    Trace.Space

    Trace.Space is an AI-native requirements and traceability platform designed to accelerate systems engineering and manage complexity across large-scale product development workflows. It enables teams to import requirements, tests, and change logs from multiple sources, such as PDFs, documents, Jira, Git, and APIs, and automatically organizes them into a centralized system. Using AI, it generates trace links, detects missing coverage, and flags inconsistencies across requirements, design artifacts, and testing layers, turning fragmented data into a connected, living graph. It continuously analyzes this trace graph to identify risks, broken links, and downstream impacts before they cause delays, helping teams remove blockers early in the development process. Trace.Space supports real-time collaboration, allowing teams to review, comment, and approve changes while maintaining full traceability of decisions and their impact across hardware, software, and systems engineering.
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    GrowthSimple

    GrowthSimple

    GrowthSimple

    It is hard for any marketer to know exactly where a journey is headed. By delving into data to calculate trends and behavioral patterns, GrowthSimple can identify your most valuable customers, determine cross- and up-sell opportunities, predict lifetime customer value and more. The ability to gain insight into a customer’s future behaviors will ultimately enable marketers to begin a more informed strategy. It is hard for any marketer to know exactly where a journey is headed. By delving into data to calculate trends and behavioral patterns, GrowthSimple can identify your most valuable customers, determine cross- and up-sell opportunities, predict lifetime customer value and more. The ability to gain insight into a customer’s future behaviors will ultimately enable marketers to begin a more informed strategy. It is hard for any marketer to know exactly where a journey is headed.
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    Trace

    Trace

    Trace

    Trace is an automated KPI analysis platform that helps teams see exactly why business metrics move without chasing dashboards or waiting days for answers. It uses metric trees to connect KPIs with their underlying drivers in a shared, computable model of performance, making analysis repeatable, explainable, and suitable for reliable AI-powered insights. Trace decomposes performance, attributes changes, ranks the most important drivers, compares results with plan, detects anomalies, and scans segments so teams can move from a question to a clear explanation in minutes. Unlike dashboards that only show what happened or AI copilots that still depend on users to direct the investigation, Trace encodes analytical skills that allow its AI agent to perform the analyst workflow autonomously. Teams can begin with one or two critical KPIs, use editable templates, and connect the platform to their warehouse without migrating or restructuring data.
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    Nelly

    Nelly

    Nelly

    Nelly is a comprehensive AI agent platform that empowers users to build, test, distribute, and utilize AI agents without any coding required. Through Nelly Studio, users can create custom AI agents using natural language instructions, formatting them with headings, lists, and other content types. These agents can be equipped with various tools, such as a browser and a database, to accomplish their tasks. Complex tasks can be broken down into smaller problems and delegated to specialized sub-agents, allowing users to build a team of agents to handle intricate workflows. With Nelly, users can have natural, flowing conversations with their AI agents, which understand context and maintain coherent dialogue, eliminating the need for special commands or syntax. Conversations are organized into threads for better performance and organization. Users can also create departments and organize their agents using drag and drop, building their ideal AI team.
    Starting Price: $9 per month
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    Flint AI

    Flint AI

    SandboxAQ

    Flint AI is a local-first, framework-agnostic AgentOps CLI that helps developers determine whether an AI agent is reliable before it reaches production. One command, flintai scan, analyzes Python source code for security vulnerabilities, misconfigurations, risky tool access, missing guardrails, and quality issues, then uses AI reasoning to triage likely false positives. A second command, flintai eval, sends functional and adversarial prompts to a running agent and scores its responses across more than 35 built-in evaluations, including factual accuracy, instruction adherence, prompt injection resistance, jailbreak resilience, and other runtime behaviors. Each agent receives a reliability score, with findings mapped to OWASP Agentic Security Initiative risks ASI01 through ASI10 and severity scored using CVSS v4.0. Flint AI works with agent frameworks and SDKs including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen.
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    HockeyStack

    HockeyStack

    HockeyStack

    We work with thousands of other SaaS companies, so we know your data is fragmented across different software. HockeyStack is the only solution that lets you collect and connect all your data in one place. Find out how the deals are closed, what your users are doing on your website, and how your product is being used. Use our and/or filters to find the exact accounts/visitors you are looking for. You can hover over the chart to see the counts for each point in time. If the date range you selected is a single day, the data points will show each hour. If the date range is between a day and a month, the data points will show each day. If the date range is more than a month, the data points will show each month. The sources table segments sessions by referrer, UTM campaigns and refs. Ads are automatically tracked using UTM parameters and shown on this table.
    Starting Price: $399 per month