
Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
Future AGI records 121,741 monthly visits with -7.8% month-over-month growth and Freemium, Usage-based pricing. Record 3.0 records 0 monthly visits with 0% growth and Contact for Pricing pricing.

One workflow for AI-driven customer support and end-to-end QA testing
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | futureagi.com | torecord.it |
| Pricing Model | Freemium, Usage-based | Contact for Pricing |
| Monthly Visits | 121.74K (121,741) | 0 (0) |
| MoM Traffic Delta | -10.26K (-7.8%) | 0 (0%) |
| Primary Market & Share | 🇮🇳 India (48%) | 🌐 Global (—) |
| Direct Visits / mo | 71.47K | 0 |
| User Rating | 4.4 | 4.3 |
| Supported Platforms | Website | Website |

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.

One workflow for AI-driven customer support and end-to-end QA testing
Automatically capture how users move through your product so every important flow is documented from real behaviour instead of guesswork.
Turn observed user journeys into reusable end-to-end tests that run on every release, giving coverage that reflects what customers genuinely do.
Detect broken flows and regressions early by continuously replaying real-world scenarios against your latest build.
Use AI to categorise incoming customer issues, reproduce the reported path and route problems to the right team with the supporting evidence attached.

Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
Free / Open-sourceGenAI-native end-to-end QA agent that plans, writes and heals tests in plain language
Free / Open-sourceScreen recorder that captures bugs with full technical context
Free / Open-sourceScreen recorder that captures bugs with full technical context

Free / Open-sourceShip with confidence: one system of record for manual, automated, and CI tests
Free / Open-sourceShip with confidence: one system of record for manual, automated, and CI tests

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
Free / Open-sourceAI-augmented quality platform for web, mobile, API and desktop testing
Free / Open-sourceAI-augmented quality platform for web, mobile, API and desktop testing

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 testing platform for the entire software testing lifecycle
AI testing platform for the entire software testing lifecycle
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises