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Everything you need to ship AI that works

Six practices, one accountable team. Engage us for a single piece or for the full lifecycle, from first assessment to production operations.

Engineers building software at their workstations
01

AI Strategy and Advisory

Know where AI pays off before you spend on it. We assess your data, workflows, and market position, then deliver a roadmap ranked by return and feasibility.

  • AI opportunity assessment across your business
  • Data readiness and infrastructure review
  • Build versus buy analysis with real cost models
  • Governance, risk, and compliance planning
02

Custom AI Development

Production LLM applications, agents, and copilots tailored to your domain. We handle model selection, retrieval, evaluation, and the engineering around it.

  • LLM applications with retrieval over your knowledge base
  • Autonomous and human in the loop agent systems
  • Internal copilots for support, sales, and operations
  • Rigorous evaluation suites before anything ships
03

Machine Learning and Data

Classic machine learning still wins on many problems. We build forecasting, scoring, and recommendation systems, and the data foundations they need.

  • Demand forecasting and predictive analytics
  • Customer scoring, segmentation, and churn models
  • Data pipelines, warehousing, and quality monitoring
  • Dashboards and reporting your team will actually use
04

AI Integration and Automation

Most value comes from wiring intelligence into the systems you already run. We integrate with your stack and automate the handoffs between tools and teams.

  • Integrations with CRMs, ERPs, and internal APIs
  • Document processing and workflow automation
  • Email, ticketing, and back office triage
  • Change management and team enablement
05

Product Engineering

AI native products need the same discipline as any serious software. We bring full stack and cloud engineering that scales from first user to millions.

  • Web application development, frontend to backend
  • Cloud architecture on AWS, GCP, or Azure
  • API design, authentication, and multi tenant systems
  • Performance, observability, and cost engineering
06

Managed AI Operations

Launch is the midpoint, not the finish line. We monitor quality, watch for drift, and keep improving your systems against the metrics that matter.

  • Continuous evaluation and quality monitoring
  • Model and prompt updates as providers evolve
  • Cost tracking and optimization
  • SLAs with a named engineer, not a ticket queue

Not sure where to start?

Book a working session. We will look at your case together and tell you honestly whether and where AI is worth your money.