What is Future AGI?
Future AGI is an AI lifecycle platform designed to support enterprises throughout their AI journey. It combines rapid prototyping, rigorous evaluation, continuous observability, and reliable deployment to help build, monitor, optimize, and secure generative AI applications.
Future AGI is a complete AI lifecycle platform. It helps teams build, evaluate, monitor, and improve their AI applications from first prototype to production at scale.

Whether you’re building a chatbot, a RAG pipeline, an AI agent, or a voice assistant, Future AGI gives you the tools to answer three critical questions:
- Is my AI working correctly? Evaluate outputs with 70+ built-in metrics for quality, safety, hallucination detection, and more.
- What’s happening in production? Trace every LLM call, track costs, monitor latency, and replay user sessions.
- How do I make it better? Optimize prompts automatically, test with simulated users, and run experiments to compare approaches.
Future AGI integrates with the frameworks you already use. OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI, Vercel AI SDK, and 30+ more. You can start with a single line of code.
Products
Future AGI provides everything you need to design, test, improve and monitor GenAI applications with speed and confidence.
Evaluation
Build reliable AI applications with comprehensive evaluation frameworks for accuracy, compliance, and performance.
Simulation
Create, run, and analyze AI agent simulations to test and improve your applications.
Dataset
Create, import, and structure data efficiently for your AI workflows.
Prompt
Design, execute, and optimize prompts for high-quality, reliable AI responses.
Prototype
Build, test, and iterate on your AI applications with ease.
Observe
Track model behavior, detect anomalies, and monitor real-time performance of your AI applications.
Error Feed
Intelligent error analysis system that points AI agent development teams in the right direction
Optimization
Refine and improve prompts systematically using evaluation-driven feedback loops.
Protect
Screen and filter requests in real-time to ensure safety and reliability in production.
Knowledge Base
Create foundation for grounded, context-aware synthetic data generation and accurate evaluations.
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Start using Future Platform today here