Reliable AI data operations, built on Snowflake and experience.

We pair vetted data leaders with AI assistants that follow our governance playbooks, so you keep control while work gets done faster.

  • AI-accelerated discovery with human oversight
  • Battle-tested Snowflake procedures + mart
  • Outcome-ready datasets & documentation

What we deliver

Productized services for modern data teams.

Curated datasets

AI copilots map sources; senior leads approve every merge before it hits BI.

  • KPI layers + BI starters
  • Lineage docs reviewed by humans

Snowflake tooling

Shared Snowflake procedures, macros, and guardrails for your engineers and our AI.

  • Zero-copy onboarding + guardrails
  • Reusable procedures + UDFs

Guided automation

Roadmaps, beta access, and managed change so automation rolls out on your terms.

  • Blueprints for ingestion
  • Composable metrics layer

Dataset catalog

Curated data bundles aligned to business outcomes.

Revenue & GTM

CRM, product, and spend stitched with AI mapping plus audit-ready docs.

Time-to-live: < 2 weeks

Finance & Spend

GL normalization + vendor spend with anomaly tagging and human approvals.

Time-to-live: < 3 weeks

Operations & Supply

Inventory, logistics, and workforce tables with automated QA logs for planners.

Time-to-live: < 4 weeks

Need something bespoke? We fold in your proprietary data without losing governance or audit trails.

Platform roadmap

Snowflake-native automation delivered in three phases.

Now

Accelerate implementation

Experts + AI copilots profile data, fix outliers, and ship dashboards with logs.

Next

Automated ELT orchestration

Config-driven ingestion/modeling, versioned in Git, executed by AI on your Snowflake.

Later

Autonomous data platform

Self-serve modeling plus AI that evolves models with your rules, approvals, and logs.

Become a founding platform customer.

Guide the roadmap, secure pricing, and be first to automation.

Join the beta list

Inside DataOK

AI surfaces, humans approve.

Automated profiling flags issues; senior data leads approve fixes.

Metrics tied to contracts.

Entity mapping + KPIs stay aligned to the governance and owners you already use.

Shared Snowflake tooling.

Config-driven ELT + semantic models run on the same Snowflake layer your team uses.

Book a call

Tell us what you need and we’ll show the playbook.

Share a few details about your data stack and outcomes. We’ll respond with a tailored walkthrough and invite your engineers to see the Snowflake tooling in action.