Production vision pipelines — custom-trained models, real-time inference at edge or cloud, drift monitoring. Medical imaging, quality QA, retail analytics, and beyond.
We own the whole pipeline — labeling strategy to drift monitoring — so your model is still accurate the month after launch, not just on demo day.
A demo that works on a clean test set is not a product. Production vision means models trained on your data, deployed where the work actually happens, and monitored so accuracy doesn't quietly decay.
We own the full pipeline: data labeling strategy, model selection and training, deployment at the edge or in the cloud, and the drift and regression monitoring that keeps it honest over time.
Models trained and tuned on your imagery — not an off-the-shelf classifier that almost fits.
Low-latency serving wherever you need it, from constrained edge hardware to elastic cloud.
Automated checks that flag accuracy decay before it reaches your users.
For regulated domains like medical imaging, pipelines built with the audit and validation rigor those domains require.
A computer-vision pipeline for automated medical image analysis, supporting radiologists with AI-assisted detection and classification.
Talk about a similar buildYes. We can train on data you already have, help design a labeling strategy where it's missing, and tell you honestly how much data a target accuracy will need.
Either. We deploy low-latency inference on constrained edge hardware or in the cloud depending on your latency, cost, and connectivity constraints.
We ship drift and regression monitoring with every pipeline, so accuracy decay is flagged automatically before it reaches your users.
Tool-using, multi-step AI agents that reason, plan, and execute against real business workflows — with guardrails, memory, and human-in-the-loop checkpoints.
Learn moreModern web on React and Next.js, cross-platform mobile for iOS and Android — performant, accessible, and built to hold up past the launch demo.
Learn moreReal-time voice agents and RAG-grounded chatbots — with persona, tone, eval, and the guardrails to ship into customer-facing production safely.
Learn moreMulti-source ingest, transformation orchestration, and warehouse modeling — the data plumbing that turns messy operational data into AI-ready foundations.
Learn moreMicrosoft PowerBI and Fabric implementations, custom analytics engines, executive dashboards — the daily-driver tools decision-makers actually open.
Learn moreWhether you have a brief or just an idea, we'll help you scope a path from concept to production — with compliance built in.
