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.
At Future AGI, we’re working to make GenAI accessible to all so building with AI becomes as common as writing code.
Generative AI has unlocked a new era of software development. However, the tools and processes required for the lifecycle of a GenAI applications are still in their infancy. Future AGI is building the core infrastructure to make GenAI development scalable, reliable, and ubiquitous.
Future AGI provides everything you need to design, test, improve and monitor GenAI applications with speed and confidence.
Build reliable AI applications with comprehensive evaluation frameworks for accuracy, compliance, and performance.
Create foundation for grounded, context-aware synthetic data generation and accurate evaluations.
Create, import, and structure data efficiently for your AI workflows.
Test and compare different prompt configurations systematically to achieve consistent performance.
Build, test, and iterate on your AI applications with ease.
Track model behavior, detect anomalies, and monitor real-time performance of your AI applications.
Future AGI’s observability platform to help you monitor cost, latency, and evaluation results through comprehensive tracing capabilities.
Refine and improve prompts systematically using evaluation-driven feedback loops.
Design, execute, and optimize prompts for high-quality, reliable AI responses.
Screen and filter requests in real-time to ensure safety and reliability in production.
Connect your development environment to Future AGI features using the Model Context Protocol.
Manage API keys, custom models, usage tracking, and user permissions.