Custom LLM integrations, intelligent process automation, computer vision, and predictive analytics — engineered to actually ship and actually work in production.
The hard part of AI is not the model. It's evaluation, retrieval, prompt management, latency, cost, observability, and the dozen other production concerns that don't show up in a notebook.
We build agentic workflows, RAG pipelines, fine-tuned classifiers, and automation that ships behind your firewall, scales to millions of calls, and degrades gracefully when the API has a bad afternoon.
OpenAI, Anthropic, open-source LLMs — wired into your products with eval pipelines and fallback strategies.
Vector stores, hybrid search, re-rankers — production retrieval that doesn't hallucinate your business away.
RPA + AI + workflow engines. Replace the email-PDF-spreadsheet dance with deterministic systems.
Object detection, OCR, defect classification, video analytics — on-device or in the cloud.
Forecasting, anomaly detection, recommendation systems — built on your data, validated against reality.
Model registries, evaluation harnesses, drift detection, online learning. Production ML is 90% ops.
Which workflows are AI-shaped? We help you say no to the bad ideas before you spend money on them.
Before building, we build the test set. AI without evals is faith-based engineering.
Two-week proof-of-concept with real data and real users. Kill bad ideas fast.
Latency budgets, cost ceilings, observability, fallbacks, prompt versioning, regression testing.
Models drift, prompts decay, costs change. We retain on a quarterly cadence to keep the system sharp.