SuperOptiX meets Pydantic AI & Logfire
Optimize Agents across Prompts, RAG, Tools, Memory, and Context. Define once, deploy anywhere, across frameworks, protocols, and optimizers.
🏭 The Agent Building Factory: Generate tailored agents for each business use case with the most effective framework and tech stack.
You Do Context Engineering.
SuperOptiX Does Agent Engineering.
The only platform that brings full-stack optimization to agentic AI
Built-in testing and validation from day one. Define behavior scenarios, run automated evaluations, track metrics.
Works with DSPy, OpenAI SDK, CrewAI, Google ADK, Microsoft, DeepAgents, and Pydantic AI. One workflow, seven frameworks.
Define once, deploy anywhere. Switch between frameworks, protocols, and optimizers without rewriting.
Unified agent development that adapts to changing technologies. Your specifications stay constant as frameworks evolve.
Everybody is trying to solve it. Nobody has succeeded. Until now.
Without optimization, AI and agents aren't going anywhere.
Not even close to production.
Optimization at each layer is what makes agents production-worthy.
SuperOptiX is fully focused on solving the optimization of agents at each layer, making them truly production-worthy.
Automatic prompt evolution and refinement
Structured context engineering
End-to-end workflow refinement
Hyperparameter and configuration tuning
SuperOptiX isn't just another agent framework—it's a complete paradigm shift in how we build, test, and deploy AI agents
Build → Hope it works
Manual prompt tuning
No systematic testing
Production surprises
Specify → Evaluate → Optimize → Deploy
Automated optimization
BDD-driven evaluation
Safe-by-design validation
| Area | Other Frameworks | SuperOptiX |
|---|---|---|
| Evaluation | ❌ Added as afterthought | ✅ Built into core development cycle |
| Development | ❌ Manual prompt engineering | ✅ BDD-style specifications |
| Optimization | ❌ Manual or none | ✅ Automatic optimization |
| Production | ❌ Basic deployment | ✅ Built-in memory, observability, orchestration |
Everything you need for production AI agents, from optimization to deployment
Local (Ollama, MLX) and cloud (OpenAI, Anthropic) inference with vLLM, SGLang for production
Short-term, long-term, and episodic memory with GEPA optimization for 60% token reduction
ChromaDB, LanceDB, Weaviate, Qdrant, Milvus with MCP protocol integration
Multi-agent coordination with sequential, parallel, and hierarchical execution
MLFlow, LangFuse, LogFire, Weights & Biases integration for production monitoring
GEPA, DSPy optimizers, prompt engineering, RAG tuning, and memory optimization
SuperOptiX works seamlessly with 7 major AI frameworks. Write your agent specification once with SuperSpec DSL, then deploy to any framework with a single command.
Complex reasoning & research
Simple & fast agents
Multi-agent teams
Gemini-native integration
Enterprise Azure integration
Complex planning & reasoning
Type-safe agents with MCP
The (Genetic-Pareto (GEPA) is the world's first framework-agnostic optimizer. It works seamlessly with DSPy, OpenAI, CrewAI, and all other supported frameworks.
Everything you need for production-grade AI agents
Write behavior-driven specifications (like RSpec for Ruby) and validate agent performance automatically.
GEPA optimizer delivers proven performance improvements across all frameworks.
Build complex multi-agent systems with coordination and communication.
Deploy with confidence using built-in monitoring, tracing, and observability.
Short-term, long-term, and vector memory for intelligent agent interactions.
Connect to ChromaDB, LanceDB, Weaviate, Qdrant, Milvus, and more.
Support for OpenAI, Anthropic, HuggingFace, Ollama, MLX, and local models.
Run locally with Ollama/MLX or scale to cloud with vLLM/SGLang/TGI.
SuperOptiX is the Agent Building Factory for tailored business use cases. We generate different agents for each unique requirement, selecting the most effective framework and tech stack.
Supporting the Forward Deployed Agents (FDA) approach, SuperOptiX enables you to build production-ready agents optimized for your specific business needs.
Each business has unique requirements. SuperOptiX generates custom agents specifically designed for your use case, not generic solutions.
We analyze your requirements and select the most effective framework (DSPy, OpenAI SDK, CrewAI, etc.) and tech stack for maximum performance.
Built to support Forward Deployed Agents methodology. We deploy, you train, they deliver. Production-ready agents from day one.
Built for forward-thinking teams ready to build the next generation of AI systems
Building agent copilots and autonomous systems
Deploying LLM-native workflows and agent stacks
Scalable, composable, multi-agent infrastructure
Experimenting with agent simulations and protocols
Wanting reproducible, test-driven, fine-tuned agents
Build agents based on maturity level or layer. Each tier represents a different sophistication level, from simple question-answering to autonomous decision-making.
Custom pricing for each maturity layer.
Simple, fast question answering system
Multi-step reasoning with tools & RAG
MCP & A2A support, advanced workflows
Multi-agent coordination systems
Through our Forward Deployed Agents (FDA) model, all tiers are deployed on-premise, private, and secure. Pricing is customized based on the maturity layer you choose, deployment scope, and your specific requirements.
You own your data
You own your agents
You own your outcomes