TECHNOLOGY STACK
Tools chosen by evidence, not fashion.
Fifty-two technologies across six disciplines — each earning its place through production results. We fit your estate and your hiring market; we don't sell a stack.
AI / ML
We are model-pragmatic: frontier APIs where they win, open-weights where control or cost demands it, classic ML where it simply works better.
Claude / Anthropic API
Primary LLM for agentic systems and long-context document work; deployed via AWS Bedrock in regulated environments.
OpenAI / Azure OpenAI
GPT-family models under Azure BAA/Gov tenancies for healthcare and public-sector workloads.
PyTorch
Our default for custom model development — vision inspection, forecasting, and clinical NLP.
LangGraph
Orchestration for production agent workflows with checkpointing and human-in-the-loop gates.
XGBoost / LightGBM
Still the champions on tabular problems: fraud, risk, demand forecasting — fast, explainable, validated.
Hugging Face
Fine-tuning and serving open-weight models where data can't leave the tenancy.
MLflow
Model registry, experiment tracking, and the backbone of our retraining pipelines.
ONNX Runtime
Portable inference for edge deployments — plant floors, vehicles, review stations.
Vector search (pgvector / OpenSearch)
RAG retrieval layers sized to the problem — often Postgres is enough.
HOW WE CHOOSE
Our selection principles
Technology choices outlive projects. These are the rules we apply before any tool enters a client architecture.
Fit the estate
We build in the languages and clouds your teams can hire for and operate — a perfect stack you can't staff is a liability.
Boring where possible
Postgres before exotic databases, proven queues before novel ones. Innovation budget goes where it differentiates.
Exit-friendly
Open standards, infrastructure as code, and documentation mean you're never locked into us or any vendor.
Compliance-aware
Every tool is vetted against the regulatory reality of the industry it serves before it enters the design.
Wondering if we work with your stack?
Almost certainly — and if we don't, we'll say so in the first call. Bring your architecture; our engineers will meet you at whiteboard depth.