Engineering AI that actually works
From data engineering to production AI systems, we deliver expertise that transforms how organizations operate with data and AI.
What we do
Comprehensive data science and AI engineering services.
LLM Evaluation & Selection
Systematic benchmarking and model selection for production LLM systems. We evaluate what actually works for your use case, not what works in a demo.
- Benchmarking against real use cases
- Model comparison and selection
- Cost-accuracy trade-off analysis
- Evaluation framework design
- Performance regression testing
AI Engineering
Production-ready AI systems built by engineers who understand both the model and the infrastructure. We ship RAG, agents, and custom models that work.
- Custom RAG and GraphRAG implementations
- LLM application development
- Agent systems with tool integration
- Knowledge graph construction
- Production deployment and monitoring
Data Engineering
Reliable data infrastructure that powers AI and analytics. We build pipelines that don't break when your data grows.
- Pipeline architecture and ETL/ELT
- Real-time streaming and batch processing
- Data warehouse and lakehouse design
- Data quality and validation frameworks
- Cloud infrastructure on AWS, Azure, GCP
AI Consulting
Technical roadmapping and architecture review from engineers who've shipped production systems. No generic advice.
- Technical roadmap development
- AI readiness assessment
- Architecture review and stack selection
- Use case prioritization
- Team training and knowledge transfer
Knowledge Systems
Self-maintaining knowledge bases that capture what your agents and analysts discover. Built for verification, not black-box outputs.
- Self-updating knowledge bases
- Custom ingestion pipelines
- Deterministic retrieval systems
- Human-in-the-loop verification
- Multi-source data unification
Sovereign AI Deployment
On-premise and air-gapped AI systems for regulated industries. Your data never leaves your infrastructure.
- Air-gapped infrastructure design
- Local model deployment (Ollama, vLLM)
- Data sovereignty compliance
- On-premise vector stores
- Security audit and hardening
Real impact, real results
A glimpse into the work we've delivered.
Sovereign Policy Assistant
Strict constraints: no cloud LLMs, no per-token pricing, and complex policy documents that changed frequently. They needed a system that could answer common queries, handle complex ones with reasoning, and escalate to human officers when needed.
We deployed a multi-tiered retrieval system: fast answers from local models for common queries, LLM reasoning for complex ones, and automatic escalation to human officers when confidence was low. Everything ran on their internal infrastructure.
Common queries were resolved without human intervention. Complex queries were routed to the appropriate tier. The pilot was adopted internally across the agency. No data ever left their infrastructure.
How we work
Our proven process ensures successful delivery from concept to production.
Discovery
We start by understanding your business, challenges, and goals through detailed workshops and analysis.
Strategy
Our team develops a comprehensive plan with clear milestones, timelines, and success metrics.
Development
We build and iterate on your AI solution with regular check-ins and transparent progress updates.
Deployment
We handle production deployment, monitoring setup, and knowledge transfer to your team.
Knowledge Engine
Our research framework, KEOS, explores how self-maintaining knowledge bases can help organizations interact with their data more deterministically.
Learn moreLet's build something together
Whether you need AI engineering, data infrastructure, or strategic guidance— we're ready to help.