Services
Pick one engagement or chain them together — we ship end-to-end or plug into your team wherever you need us.
We plug large language models into your product — safely. Streaming, function-calling, JSON mode, retrieval, evaluation and cost controls. We default to frontier APIs (OpenAI, Anthropic) and fall back to open-source (Llama, Mistral, Qwen) when latency, cost or data residency demands it.
Typical deliverables: prompt library with version control, evaluation harness, observability dashboard, and a runbook your team can own after handoff.
Agents that finish the job, not just answer a question. We build RAG pipelines, tool-using workflows, multi-step planners and human-in-the-loop systems that integrate with your existing tools and data.
We've shipped agents for customer support, sales ops, document processing and code review. All production-grade with eval suites, guardrails and rollback paths.
Production is a different country than the notebook. We set up model serving, drift detection, A/B testing, monitoring and rollback so your AI keeps working once the launch hype is over.
We'll modernize a legacy ML pipeline, set up greenfield MLOps from scratch, or rescue an unstable deployment in production.
Your models are only as good as the data underneath them. We build pipelines that turn scattered, messy, late-arriving data into a clean foundation your team can trust — and your models can learn from.
Specialized in vector databases and embeddings at scale — the backbone of any serious RAG or semantic search system.
Detection, segmentation, OCR, video understanding and custom models. We deploy on-prem at the edge (Jetson, Coral, GPU servers) or in the cloud — whichever fits your latency and privacy constraints.
Experience across retail, logistics, manufacturing, agriculture and medical imaging.
Buying AI tools is easy. Knowing which ones to buy — and how to actually capture value from them — is hard. We work with leadership to set the AI roadmap, pick the right vendors, model the ROI and set up the governance to scale safely.
Typical deliverable: a 90-day execution plan with measurable outcomes, risk register and a board-ready narrative.
Not sure which one fits?
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