Six core capabilities delivered as integrated systems. No off-the-shelf solutions — everything custom-built for your requirements.
We design and deploy autonomous agent swarms that investigate, decide, and act without human-in-the-loop bottlenecks. From single agents to hierarchical orchestration.
Our agentic systems go beyond simple task automation. They reason, plan, use tools, and coordinate with other agents to solve complex problems in dynamic environments.
Whether you need a single specialized agent or a full multi-agent orchestration platform, we build systems that scale from prototype to production.
We work across frameworks including LangGraph, AutoGen, CrewAI, and custom implementations tailored to your specific needs.
We fine-tune foundation models on your proprietary data and deploy them on cost-optimized inference infrastructure with intelligent routing across model tiers.
Not every use case needs a fine-tuned model, but when you do, we handle the full pipeline: data preparation, training, evaluation, and deployment.
Our serving infrastructure includes smart model routing, fallbacks, caching, and cost optimization to ensure you get the best performance at the lowest cost.
We work with Claude, GPT-4, Llama, Mistral, and other foundation models, selecting the right base model for your requirements.
Production RAG systems with custom chunking strategies, embedding selection, hybrid retrieval, and measurable precision at enterprise scale.
Naive RAG implementations fail in production. We build RAG pipelines that actually work: proper chunking, metadata filtering, hybrid search, and reranking.
Our RAG systems include evaluation frameworks so you can measure and improve retrieval quality over time.
We handle document ingestion, vector databases, embedding models, and the full LLM generation pipeline.
Systematic prompt design, adversarial testing, and model-agnostic prompt libraries that hold up when underlying models update.
Prompt engineering is more than trial and error. We use structured frameworks, evaluation suites, and version control to build reliable prompts.
Our prompt libraries are designed to be model-agnostic, so when Claude 4 or GPT-5 arrives, your prompts continue to work.
We include adversarial testing, edge case handling, and systematic evaluation to ensure prompts perform across the full range of inputs.
Multi-agent orchestration layers using MCP, LangGraph, and custom frameworks — connecting LLMs, tools, memory, and external APIs into coherent automated workflows.
Orchestration is the glue that connects your AI components into production systems. We build the control logic that routes requests, manages state, and coordinates between agents.
Our orchestration platforms handle error recovery, retry logic, rate limiting, and observability out of the box.
We integrate with your existing tools, databases, and APIs to create end-to-end automated workflows.
We help leadership teams identify the highest-ROI AI bets, define build-vs-buy decisions, and structure internal AI capability roadmaps.
Many AI initiatives fail not because of technology, but because of poor strategy. We help you focus on the highest-value opportunities.
Our advisory work includes technical due diligence, vendor evaluation, team capability assessment, and roadmap planning.
We provide brutally honest technical assessment — we'll tell you when AI is not the right solution.