SpecialistUnified observability, security and incident response for cloud-scale engineering teams

Censius records 0 monthly visits with -100% month-over-month growth and Free Trial, Paid pricing. Future AGI records 121,741 monthly visits with -7.8% growth and Freemium, Usage-based pricing.

AI observability platform for monitoring, explaining, and debugging production ML models
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | censius.ai | futureagi.com |
| Pricing Model | Free Trial, Paid | Freemium, Usage-based |
| Monthly Visits | 0 (0) | 121.74K (121,741) |
| MoM Traffic Delta |
| -1.14K (-100%) |
| -10.26K (-7.8%) |
| Primary Market & Share | 🌐 Global (—) | 🇮🇳 India (48%) |
|---|
| Direct Visits / mo | 0 | 71.47K |
|---|
| User Rating | 4.2 | 4.4 |
|---|
| Supported Platforms | Website | Website |
|---|

AI observability platform for monitoring, explaining, and debugging production ML models
Configure performance, data quality, and drift monitors across unlimited models and model versions, with instant alerts whenever a violation is detected.
Zoom into a flagged violation and follow a guided roadmap to locate the underlying cause, moving from a symptom to a diagnosis without manual debugging.
Build fully customizable dashboards that combine monitoring and RCA insights so teams can plan the next model version with evidence.
Understand and communicate model decisions with explainability features designed for both technical teams and business stakeholders.

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.
SpecialistUnified observability, security and incident response for cloud-scale engineering teams


Enterprise AI infrastructure where software and expert humans work together


Track, evaluate, and ship AI models and agents in one connected environment.
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Full-stack observability with an AI SRE agent that fixes issues
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SpecialistUnified observability, security and incident response for cloud-scale engineering teams
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
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Standardize LLM evaluation, observability, and red teaming across your whole org
AI governance, testing, and observability for regulated enterprises
The 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
Evaluate every frontier model against your own workflows