Data & AI architecture
Map the current estate, define the target state, and sequence the work around business constraints rather than an idealized diagram.
For CIOs, CDOs & AI leaders
AI-Ready Data
Architecture
DataMetis turns the platforms you already run into a governed operating base for AI—clear controls, usable context, and systems your teams can defend in production.
Keep governance in the path of execution—not in a document beside it.
Point of view
Agents are easy to demo.
Delegation is the hard part.
Before an enterprise can hand real work to AI, its leaders need to know which data the system uses, which actions it can take, and where accountability lands.
DataMetis designs those answers into the architecture. Governance, lineage, and control become part of how the system runs—not a review that happens after it is built.
Expertise
From estate to operating system.
Strategy and engineering stay in the same room. The recommendation has to survive contact with your platforms, policies, and people.
Governance for agentic AI
Establish action boundaries, lineage, evaluation, oversight, and evidence that leaders can inspect before autonomy expands.
Platform engineering
Put Snowflake, Databricks, and the surrounding data stack to work as a durable foundation for production AI.
Agentic development
Build focused AI workflows around governed enterprise context, measurable behavior, and explicit human control.
Complimentary assessment
Start with the estate you have.
A focused working session for leaders weighing an AI initiative, a platform decision, or a data modernization effort. No generic maturity score. We examine the actual conditions shaping your next move.
Request the assessment-
01
Frame the goal
Clarify the business outcome, decision horizon, and the constraints that cannot be ignored.
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02
Read the estate
Review platforms, data movement, governance posture, and the teams responsible for them.
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03
Identify the next moves
Leave with a direct view of the gaps, dependencies, and priorities worth addressing first.
Selected work
01 / FlowSight™A clearer operating surface for Snowflake Openflow.
FlowSight is a DataMetis-built, guided interface for configuring and monitoring Openflow data movement—without requiring teams to work directly on the NiFi canvas.
- Runs
- Inside Snowflake App Runtime
- Designed for
- Guided setup and live monitoring
- Trust boundary
- Credentials remain within Snowflake
Blog / Coming soon
Field notes for accountable AI.
Practical writing on data architecture, agent governance, Snowflake, Databricks, and what changes when AI systems move from answering questions to taking action.
No placeholder articles. The first notes will appear here when they are ready.
Free data-estate assessment
Bring the difficult version of the problem.
Tell us what you are trying to change, what is already in place, and where confidence starts to break down. We will use that context to make the first conversation useful.
Email to book the assessment info@datametis.com