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Future AGI is a platform for building, testing and monitoring AI agents. Its tagline is that AI agents hallucinate and the product helps teams fix it faster. It is open source under the Apache 2.0 license on GitHub and can be self-hosted.
Teams simulate conversations against an agent, evaluate the results, and use the error feed to find causes. Optimization applies the feedback to improve responses, and monitoring watches production traces.
Engineering teams building agents, from startups to enterprises, who want testing and monitoring in one place and the option to self-host.
The project is open source under Apache 2.0 and can be self-hosted. The main page offers a free sign-up (Get Started, Free) and links to a pricing page, without listing plan prices.
Okareo and HoneyHive also provide evaluation and testing for LLM applications. Evidently AI is known for open-source ML and LLM monitoring. Parea AI offers prompt evaluation and observability.
Pricing Model
Subscription
Starting Price
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Free Options
Free trial
Future AGI for individuals and growing teams. See futureagi.com for current pricing.
Future AGI for larger organizations with security and admin needs. Contact sales for a quote.
| Feature | Pro Popular | Enterprise |
|---|---|---|
| Automated evals | , | |
| Synthetic data | , | |
| Higher usage limits | , | |
| Integrations | , | |
| Email support | , | |
| Everything in Pro | , | |
| Prompt optimization | , | |
| Observability | , | |
| SSO and admin controls | , | |
| Dedicated support | , |
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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Open-source AI pipeline orchestration with a Pro platform from $39 a month
Simulation-based testing for voice and text AI agents
Agent observability, evaluation and monitoring for AI applications
Open-source framework to evaluate and monitor LLM and ML systems
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