New perspective · 14 Sep 2026Why AI agents stall after the pilot — and what production actually requires→
Optivaco
Capabilities / Artificial Intelligence / Data & AI Platforms

Data & AI Platforms

Governed data and AI platforms that make the next use case cheaper to ship than the last.

01 — The problem

Pilots run on curated extracts. Production runs on live, owned, governed data — and most AI programs discover the difference too late.

No clear ownerNobody can say who is accountable for the data an AI system is about to act on.
Fragmented platformsEach team builds its own pipeline, feature store, and model endpoint.
Slow path to releaseWithout shared tooling, every model takes the long way to production.
02 — What we deliver

What we deliver.

01Data platform engineeringLakehouse and warehouse builds on Databricks, Snowflake, and the major clouds.
02Data products & ownershipDomain data products with owners, contracts, and quality measures.
03Catalog & lineageDiscoverable, classified data with lineage that audit teams can follow.
04MLOps & LLMOpsShared pipelines for training, evaluation, deployment, and monitoring.
05Retrieval foundationsVector indexes, chunking, and access control for enterprise knowledge.
06Platform operationsCost management, reliability targets, and a team accountable for run.
03 — Engagement model
01AssessAI readiness assessment and a prioritized value case
02ArchitectReference architecture, data plan, and governance design
03BuildProduction-grade agents, applications, and platforms
04StaffVetted AI and engineering talent or managed delivery pods
05ScaleOperating model, AI Center of Excellence, and run support
06 — FAQ

We are model- and cloud-agnostic. Most programs run on Azure, AWS, or Google Cloud with OpenAI, Anthropic Claude, or Microsoft Copilot models, selected per use case on cost, latency, and risk.

Data & AI Platforms

Make the data ready before the agents arrive.

Tell us which decisions depend on data you don’t yet trust.