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.
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.
Modules
Future AGI provides everything you need to design, test, improve and monitor GenAI applications with speed and confidence.
- Dataset: Natively access high-quality datasets from Hugging Face, bring in your own domain-specific data, or generate tailored synthetic datasets directly within Future AGI ensuring your models are trained on exactly what they need to perform.
- Prompt: Designing the ideal GenAI system starts with fast, high-volume testing of nuanced prompts across models to discover what works. With Future AGI, you can not only test but also refine and optimize your prompts.
- Evaluate: Assess GenAI applications without relying on Human in the Loop or Ground Truth, using Future AGI’s robust evaluation suite enabling continuous delivery of high-quality results to your users.
- Prototyping: Future AGI’s prototyping environment is designed to help you move quickly while giving you deep, actionable insights to guide every iteration.
- Observe: With real-time observability baked in, Future AGI offers a clear view into every interaction so you can detect issues early, optimize performance, and stay ahead of fail.
- Protect: Set up powerful safety guardrails with Future AGI’s Protect feature. Automatically detect toxicity, bias, and policy violations so you can build GenAI systems that are safe, compliant, and trustworthy from day one.
Evaluation
Build reliable AI applications with comprehensive evaluation frameworks for accuracy, compliance, and performance.
Knowledge Base
Create foundation for grounded, context-aware synthetic data generation and accurate evaluations.
Dataset
Create, import, and structure data efficiently for your AI workflows.
Experimentation
Test and compare different prompt configurations systematically to achieve consistent performance.
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.
Tracing
Future AGI’s observability platform to help you monitor cost, latency, and evaluation results through comprehensive tracing capabilities.
Optimization
Refine and improve prompts systematically using evaluation-driven feedback loops.
Prompt Workbench
Design, execute, and optimize prompts for high-quality, reliable AI responses.
Protect
Screen and filter requests in real-time to ensure safety and reliability in production.
MCP
Connect your development environment to Future AGI features using the Model Context Protocol.
Admin & Settings
Manage API keys, custom models, usage tracking, and user permissions.