BotGauge
Also known as: BotGauge AI
AI agent testing with red-teaming, tracing, evaluations and policies, alongside autonomous QA as a service where AI agents generate, run and self-heal software tests reviewed by a BotGauge expert pod.
BotGauge tests software and AI agents. Its homepage now leads with agent testing: adaptive red-teaming and real-world scenarios probe how a customer's agent behaves across inputs, context, tools, policies and multi-turn conversations; tracing shows the prompts, responses, tool calls, context and execution paths behind each result; findings become evaluations scored on goal completion, accuracy, policy adherence and custom criteria with LLM evaluators and code checks; and policies carry those standards into monitoring and safeguards. It targets RAG, support, voice, multi-agent and transactional agents across frameworks such as LangChain, LangGraph and CrewAI.
Its established product, Autonomous QA as a Solution, reads PRDs, UX flows, screenshots and demo videos, generates functional, UI, API and integration tests, runs the relevant ones on every commit or pull request, self-heals them as the interface changes and reports root causes, with a dedicated forward-deployed engineer pod from BotGauge reviewing every test before it runs. BotGauge MCP, in beta on request, lets coding assistants generate and run tests. BotGauge states it is SOC 2 Type II and offers SSO over SAML and fine-grained access control. Plans are priced per test case or custom, with a 30-day pilot.
Vendor details
Canonical URL
https://www.botgauge.com
Category
Agent infrastructure
Funding status
Seed round of 2 million dollars (announced February 2026) led by Surface Ventures, with IA Seed Ventures and Saka Ventures participating, per TechEdgeAI, Software Testing Magazine, and startupintros. Founded 2024, United States. Founders Pramin Pradeep, Naresh Kumar Rajendran, Vivek Nair, and Sreepad Krishnan Mavila.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Integrates with CI and CD and DevOps pipelines, repositories, and workflow tools so tests run automatically on every build and release.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
7.5 / 14 capabilities · 54%
| Integrations & Tool Calling | Partial |
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More than 60 tool integrations, including Jira, GitHub, Jenkins, CircleCI and Slack, give BotGauge CI/CD coverage; it connects to a customer's agent across frameworks such as LangChain, LangGraph and CrewAI and generates bug reports in the team's own format. These bring tests into the pipeline and send results out. No integration through which an agent reads or writes a real system through BotGauge is described. SourceBotGauge, botgauge.com pricing FAQ, homepage and MCP pageread 2026-09-21 |
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| Workflow Orchestration | Partial |
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Each stage of the testing lifecycle, authoring, execution, self-healing and root cause analysis, gets its own agent, and BotGauge runs the relevant tests on each commit or pull request in parallel and manages test data and environment state. Agent steps mix with deterministic runs, but customers do not define or reuse their own workflows. SourceBotGauge, botgauge.com AI agents pageread 2026-09-21 |
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| Knowledge Grounding & RAG | Partial |
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The authoring agent reads prompts, PRDs, UX flows, screenshots and demo videos the customer shares to understand the app and generate context-aware tests. Company knowledge enters as documents read for each task, and no index, retrieval layer or refresh of the customer's sources is described. SourceBotGauge, botgauge.com AI agents page and homepageread 2026-09-21 |
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| Human Oversight & Guardrails | Partial |
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Teams define policies with LLM evaluators, code-based checks and custom criteria and carry them into evaluation, monitoring and safeguards, so findings become boundaries the agent should follow. Whether a policy holds or blocks an agent's action at run time, or where an approval can be inserted, is not described. SourceBotGauge, botgauge.com homepageread 2026-09-21 |
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| Security, Identity & Governance | Full |
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BotGauge states it is SOC 2 Type II, independently audited and continuously validated, with the report available under NDA and an AICPA SOC 2 Type 2 badge on its homepage, and offers SSO over SAML with the customer's identity provider and fine-grained access control over who can reach each project and resource. SourceBotGauge, botgauge.com homepage and pricing FAQread 2026-09-21 |
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| Observability & Auditability | Full |
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A customer's agent is traced so teams can follow every step behind a result and inspect its prompts, responses, tool calls, context and execution paths, across agent types from RAG and support agents to voice, multi-agent and transactional agents, with continuous monitoring. SourceBotGauge, botgauge.com homepageread 2026-09-21 |
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| Memory & State Persistence | Not documented |
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As the product changes, BotGauge's test suites self-heal, and it detects coverage gaps. No session, workflow or long-term memory that its agents write and read back is described. SourceBotGauge, botgauge.com AI agents pageread 2026-09-21 |
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| Deployment & Data Residency | Not documented |
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The testing infrastructure is handled by BotGauge itself, which keeps each customer's test data isolated in its tenant. No deployment in the customer's environment, self-hosting or choice of data region is described. SourceBotGauge, botgauge.com homepage and FAQread 2026-09-21 |
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| Prebuilt Agents / Templates / Packs | Not documented |
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BotGauge generates tests from the customer's own documents and runs its own lifecycle agents. No catalog of ready-made agents, templates or packaged workflows a buyer adopts for its own work is described. SourceBotGauge, botgauge.com AI agents pageread 2026-09-21 |
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| Triggers & Channel Coverage | Full |
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On every commit or pull request, the execution agent runs the relevant test cases automatically through the customer's CI/CD pipeline, and BotGauge's agent evaluations run with every release. SourceBotGauge, botgauge.com AI agents page and homepageread 2026-09-21 |
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| Model Flexibility & Routing | Not documented |
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BotGauge tests agents built on whatever models the customer uses and runs its own agents internally. No customer choice of the models BotGauge itself uses, routing policy or bring-your-own keys is described. SourceBotGauge, botgauge.com homepageread 2026-09-21 |
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| APIs / SDKs / MCP Extensibility | Partial |
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BotGauge MCP lets MCP clients such as Claude, Cursor, Windsurf and GitHub Copilot generate test cases, browse and bulk-modify them, execute runs, investigate failures and review coverage, and tests can be exported or migrated. The MCP is in beta with access on request, and no REST API or SDK for BotGauge's platform is documented. SourceBotGauge, botgauge.com MCP page and homepageread 2026-09-21 |
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| Testing, Debugging & Optimization | Full |
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Adaptive red-teaming and real-world scenarios probe a customer's AI agent; BotGauge turns what it finds into an evaluation set scored on goal completion, accuracy, policy adherence and custom criteria with LLM evaluators and code-based checks, and runs those checks with every release. Its autonomous QA service also generates, runs and self-heals end-to-end, API and UI tests on every commit. That tests the agent before production, gates quality on each release and keeps a loop running after deployment. SourceBotGauge, botgauge.com homepage and autonomous QA pageread 2026-09-21 |
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| Browser / Computer-use | Full |
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QA agents execute end-to-end tests across the customer's application interfaces, checking layouts, interactions and visual states across screens and devices, and BotGauge's self-healing agent detects DOM and workflow changes and updates tests. That is documented control of a real interface. SourceBotGauge, botgauge.com autonomous QA page and AI agents pageread 2026-09-21 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Per test case (rate not published) · Scale custom
Per test case on the Launch plan, with unlimited test executions; Scale is custom-priced
Cost watchouts
Cost scales with coverage and execution volume; broad coverage across many workflows raises the outcome based bill.
Variable cost rationale
Pricing is tied to test coverage rather than seats, so cost scales with how much of the application is under autonomous test and how frequently suites run.
Sales call required
Mixed (some tiers require a call)
Free / trial
A 30-day pilot is offered; the 'Try for Free' links lead to a contact form
Lowest paid plan
Launch plan, pay per test case; rate not published
Key ambiguities
Neither the per-test-case rate on Launch nor Scale pricing is published; subscriptions can be canceled at any time and are billed per cycle by card or wire.
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Alternatives to BotGauge
The closest documented capability profiles to BotGauge among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Cyara4.5 / 14A lighter documented profile than BotGauge
- Hamming AI6.5 / 14Adds documented Deployment & Data Residency
- QA Wolf10.0 / 14Adds documented Deployment & Data Residency and Model Flexibility & RoutingBotGauge vs QA Wolf →
- Coral5.5 / 14Adds documented Deployment & Data Residency
- Freeplay8.0 / 14Adds documented Deployment & Data Residency and Model Flexibility & Routing
- Monte Carlo8.0 / 14Adds documented Deployment & Data Residency and Prebuilt Agents, Templates & Packs
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded