
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. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
AI governance, testing, and observability for regulated enterprises
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | futureagi.com | openlayer.com |
| Pricing Model | Freemium, Usage-based | Freemium, Contact for Pricing |
| Monthly Visits | 121.74K (121,741) | 48.42K (48,415) |
| MoM Traffic Delta |
| -10.26K (-7.8%) |
| -3.3K (-6.4%) |
| Primary Market & Share | 🇮🇳 India (48%) | 🇺🇸 United States (44.1%) |
|---|
| Direct Visits / mo | 71.47K | 25.94K |
|---|
| User Rating | 4.4 | 4.4 |
|---|
| 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.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.

Enterprise AI infrastructure where software and expert humans work together


Track, evaluate, and ship AI models and agents in one connected environment.
#2
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
#3
SpecialistAttack-led AI security testing and red teaming

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

SpecialistThe collaboration layer for AI engineering teams

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

Automated QA, simulation and observability for voice and chat AI agents

SpecialistThe control plane for trusted enterprise agents and models

Find and fix problems in your AI agents before users do
Full-stack observability with an AI SRE agent that fixes issues

Enterprise AI governance platform for agents, models, and vendors
Enterprise AI infrastructure where software and expert humans work together
Track, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistAttack-led AI security testing and red teaming
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
SpecialistThe control plane for trusted enterprise agents and models
Find and fix problems in your AI agents before users do
Full-stack observability with an AI SRE agent that fixes issues