Scoped projects. Lean engineering teams. Production-ready deliverables. Petrabytes engineers design, build, and hand over enterprise data and AI platforms — on time, on budget, with your team trained to run them.
We audit your current data landscape, identify gaps, and define what "done" looks like. You get a written assessment with architecture recommendations and a scoped delivery plan.
Platform architecture, data models, integration patterns, governance policies. Everything documented before a single line of code is written.
This is where the work happens. Pipelines built. Connectors configured. Quality rules enforced. AI integrations wired. Your team is in every sprint review.
Production rollout with governance checks, performance validation, security review, and user acceptance testing. Nothing goes live until it's proven.
Runbooks. Training sessions. Optimization recommendations. Your team takes full ownership. We stay available for questions — but you don't need us anymore.
The fastest way to understand where you stand — and what it will take to operationalize AI on your data.
Deploy PIEScale or build a custom enterprise data platform from architecture through production.
Move beyond pilots. Deploy production AI assistants, agents, domain models, and MCP integrations on governed data.
Architecture, deployment, integration, production readiness.
Legacy migration, quality, metadata, OSDU enablement.
Pipelines, APIs, transformation, enterprise data models.
AI apps, agents, search, MCP, workflow automation.
Health checks, performance, cost, security, governance.
Roadmap, architecture assessment, AI readiness, business case.
Dashboards, KPI frameworks, self-service reporting.
IoT ingestion, SCADA, edge computing, event architecture.
Model monitoring, retraining, drift detection, governance.
Capture, govern, and activate enterprise knowledge — reducing tribal knowledge loss and improving GenAI accuracy.
Structured evaluation of your data, infrastructure, and organizational readiness to operationalize enterprise AI.
Energy-specific ML models for equipment reliability, pipeline integrity, and production uptime — from sensor to insight.
Need engineers for longer than a project? If your transformation needs embedded engineers working inside your team for months — not a scoped project with a handover — that's Forward Deployed Engineering. Different model, different page.
Explore FDE →A 30-minute discovery call. A written proposal within 5 business days. No 6-month "assessment phase" — just engineering.