
Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
BotGauge records 7,605 monthly visits with -56.6% month-over-month growth and Free Trial, Contact for Pricing pricing. Future AGI records 121,741 monthly visits with -7.8% growth and Freemium, Usage-based pricing.
AI agent red-teaming, evaluation, and monitoring platform
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | botgauge.com | futureagi.com |
| Pricing Model | Free Trial, Contact for Pricing | Freemium, Usage-based |
| Monthly Visits | 7.61K (7,605) | 121.74K (121,741) |
| MoM Traffic Delta | -9.94K (-56.6%) | -10.26K (-7.8%) |
| Primary Market & Share | 🇮🇳 India (81%) | 🇮🇳 India (48%) |
| Direct Visits / mo | 2.99K | 71.47K |
| User Rating | 4.2 | 4.4 |
| Supported Platforms | Website | Website |
AI agent red-teaming, evaluation, and monitoring platform
Run adversarial and real-world tests across inputs, context, tools, policies, and multi-turn interactions, with custom strategies for your priority scenarios.
Inspect prompts, responses, tool calls, context, and execution paths to understand the behavior behind every finding.
Turn discovered behaviors into an evaluation set that scores goal completion, accuracy, policy adherence, and custom criteria.
Carry the standards that matter into evaluation, monitoring, and safeguards for your agents.

Build, simulate, evaluate and monitor self-improving AI agents
Generate personas, scenarios and synthetic datasets to stress-test text and voice agents across many conversation branches before launch.
Combine always-free heuristic metrics, code evaluators and LLM-as-judge scoring, including agentic evaluators that localise errors in RAG and tool calls.
Route traffic across 15+ LLM providers with load balancing, failover and caching, plus 15 built-in rule-based guardrails and ML content moderation.
End-to-end traces, sessions, agent graphs, custom dashboards and alert monitors give real-time visibility into production behaviour.

Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language

Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Attack-led AI security testing and red teaming
Attack-led AI security testing and red teaming

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org

Automated QA, simulation and observability for voice and chat AI agents
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises

The control plane for trusted enterprise agents and models
The control plane for trusted enterprise agents and models

Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
Evaluate every frontier model against your own workflows
Evaluate every frontier model against your own workflows