Service
AI / ML Engineering
Applied ML, GenAI, and computer vision engineered to ship — with the observability, evaluation, and cost discipline that keeps them in production.
What We Do
Six capabilities inside every engagement
Applied ML Systems
Feature stores, training pipelines, model registries, and monitored inference — the parts that turn a notebook into a product.
GenAI & LLM Applications
RAG systems, agent workflows, and evaluation harnesses built with guardrails and cost/latency budgets baked in.
Computer Vision
Detection, classification, and OCR pipelines for physical-world use cases — including edge deployments on plant floors.
Inference Infrastructure
Serving stacks on GPUs or CPU, with autoscaling, batching, and model versioning tied to your CI/CD.
ML Evaluation
Offline eval, online A/B testing, and drift detection — so you know when a model regressed before your users do.
Responsible AI
PII redaction, prompt injection defenses, bias testing, and audit logging — before regulators or customers ask.
Platforms & tools our engineers work in daily
Reference architectures