Service · 05

AI that ships to production.

Most AI projects die in the demo. Ours don't — because we plan for evaluation, monitoring and the long tail of edge cases from day one.

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LLMs & RAG

Large language models, grounded in your data.

From customer-support copilots to internal knowledge search — we build LLM systems that quote your actual documents, not the public internet.

Retrieval-augmented generation — ground answers in your sources.
Evaluation pipelines — measure quality before users do.
Privacy & cost control — open-source models when policy demands.

Predictive analytics

Forecasting, scoring and anomaly detection.

The mature side of AI — classical ML that's been earning its keep for a decade. We deploy forecasting, scoring and anomaly detection models where they make a measurable dent in revenue or cost.

Time-series forecasting — demand, inventory, traffic.
Risk scoring — credit, fraud, churn.
Anomaly detection — operations, security, finance.

Vision & OCR

Document & image intelligence.

From invoice extraction to factory-floor inspection — we deploy computer vision and OCR models on cloud, edge or on-prem hardware.

Document AI — extract structure from PDFs, contracts, forms.
Quality control — defect detection on production lines.
Edge deployment — Jetson, Coral, mobile NPUs.

Our ML stack

Tools we use to ship models that survive production.

Foundation models

OpenAIAnthropic ClaudeLlamaMistral

Frameworks

PyTorchTensorFlowscikit-learnXGBoost

Orchestration

LangChainLlamaIndexMLflowAirflow

Vector DB

pgvectorPineconeWeaviateQdrant

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