We don't sell AI as a product — we bring it as a force into your organization, through deployment, infrastructure, and the workforce work that makes it land.
Production AI systems built into real environments — RAG, agents, model-routing infrastructure, evaluation harnesses. Integrated with every major model provider: AWS Bedrock, Anthropic, OpenAI, Azure OpenAI, Google Vertex, and open-source local models. Model-agnostic by design.
Clear the data blockers that keep AI from working. Consolidate scattered sources into governed, production-ready systems. Search infrastructure, lineage, data contracts, policy-as-code. The unglamorous work where the ROI lives.
Educate leadership. Train staff on AI workflows. Advise on staffing architecture and cost-reduction opportunities. Real AI adoption is half technology, half organizational change — we do both, not just the technology half.
Federal and commercial proof — plus the founder's key-personnel work that grounds it. Numbers are taken from the source contracts and grounding documents, not paraphrased.
Built and operate a cloud-native OCR pipeline processing millions of historic newspaper pages for Chronicling America. Four major architecture migrations executed without downtime.
Migrated a buckling MySQL/MongoDB data platform to Elasticsearch with SAML SSO, CDC connectors, and a Python/Flask API. Co-sold with Elastic.
Trained the 3D CNN models for TSA baggage segmentation, designed and built the DHS/CBP under-vehicle scanner from scratch (later acquired by Cox Automotive), and engineered deep-learning blast-wave models for the TAMU Cyclotron (DOE-funded, published in Nature Communications).
