Production-Grade AI Agents & LLM Systems
We move AI past flashy chat prompts into autonomous multi-agent workflows, vector search RAG systems, and deterministic software integrations that drive measurable revenue.
Beyond Hallucinating Chatbots
Many AI implementations fail in production because they lack deterministic safeguards, structured data validation, or proper tool execution. We design AI architectures with stateful agent graphs, fallback logic, and strict output schemas.
Our AI Engineering Offerings
Autonomous Multi-Agent Orchestration
LangGraph & AutoGen frameworks for multi-step reasoning, specialized agent collaboration, and human-in-the-loop validation.
Enterprise RAG & Vector Search
Pinecone, Qdrant, and pgvector pipelines with hybrid search, re-ranking, and strict document access controls.
Streaming SSE & WebGPU Frontends
Sub-second streaming UI responses, custom token counters, and local browser LLM execution.
Custom Fine-Tuning & Model Evaluation
Task-specific fine-tuning on Llama 3 & Mistral, prompt evaluation benchmark suites, and latency optimization.
AI Technologies & Frameworks
Featured Case Study: Synthetix AI Labs
Built a multi-agent AI orchestration hub in 7 weeks, enabling Synthetix AI to secure their $3.4M seed funding round.
Explore Synthetix AI Case Study →Have an AI Vision to Build?
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