LLM integration & RAG
Chat and search over your policies, contracts, tickets and product docs — grounded in sources you control, with citation and access rules.
What we build · 01
AI & Automation
We integrate AI where it removes real work: answering from your own documents, automating multi-step processes, scoring risk in milliseconds, or seeing patterns in data your team cannot scan manually. Every model ships with evaluation, guardrails and an owner on our side.
Capabilities
What we deliver
Agent workflows
Multi-step automations that call APIs, update records, draft responses and escalate when confidence drops below a threshold.
Fine-tuning & evaluation
Domain-specific models with held-out test sets, regression suites and human review loops before anything reaches production.
Computer vision
Document capture, quality inspection, identity verification and spatial understanding — deployed at the edge or in the cloud.
Predictive analytics
Forecasting, churn scoring, demand planning and anomaly detection wired into dashboards and operational alerts.
MLOps & monitoring
Versioned pipelines, drift detection, cost tracking and rollback paths so models stay reliable after launch.
How we build it
Stack and standards
We start with the decision the model must improve, not the model family. Prototypes run against real data under NDAs; production paths include observability, rate limits and fallbacks when the model abstains.
OpenAI & Anthropic APIs
LangChain / custom agents
Python & TypeScript
Vector stores
PyTorch
AWS SageMaker
Evaluation harnesses
Related disciplines
Often built together
Ready to scope your AI & Automation build?
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