Hire the first
agentic data team

Faster, more accurate, and a fraction of the cost of a traditional data team.

The problem

Data teams haven't changed despite AI.

Same operating model from ten years ago. Same problems.

  • Expensive. A small team of five to six costs $1M+ per year.
  • Slow. Weeks for a dashboard. Months for a pipeline.
  • Inaccurate. Numbers don’t match. Multiple sources of truth. You can’t trust the data.

What we do

We operate on your existing stack.

No new tools, no migrations, no vendor lock-in.

Dashboards on demand

No Jira tickets. No sprint planning. No three-week wait. Ask, and the team builds it.

Metrics that match

Defined once, enforced everywhere. No more reconciling numbers before the board meeting.

Pipelines that just work

No 2 AM Slack messages about broken jobs. The team monitors, fixes, and ships.

Answers when you need them

Ad hoc questions get answered the same day, not the next quarter.

Pricing

Simple pricing. No surprises.

Setup

$25K – $50K
One-time, four weeks
  • Discovery and stack assessment
  • Logic layer construction
  • Agent deployment on your existing stack
  • First dashboards delivered

Range depends on stack complexity and number of data sources.

Monthly

$20K
Ongoing, month-to-month
  • Dashboards and analyses on demand
  • Metrics defined once, enforced everywhere
  • Pipelines monitored and maintained
  • Weekly working session with the founder

Compare to one senior data hire: $300K+ per year, three months to hire, no team behind them.

Hire one expert.
Get a full team.

You hire one senior data leader. You get a full team of AI agents working under him — building pipelines, defining metrics, shipping dashboards, and answering questions around the clock.

  • Senior data leader
  • Dashboards Agent
  • Metrics Agent
  • Pipelines Agent
  • Answers Agent
George Bezerra

Who's building this

George Bezerra, PhD

Founder & CEO

MITTripAdvisorThe Knot WorldwideInvestInData

15 years building the data and AI infrastructure that enterprises run on. PhD in Computer Science, postdoc at MIT CSAIL researching extreme-scale database architectures.

Led a 60-person data organization as SVP of Data at The Knot Worldwide. Previously Sr. Director at TripAdvisor. Co-founder of InvestInData, an angel collective of 50+ senior data executives.

Built Pristino Labs after watching the same problem repeat at every company: business logic scatters across tools, drifts from the original intent, and nobody owns the canonical definition. AI agents will make this worse — unless the architecture is solved first.

Ready to hire your team?

One senior expert. A full team of agents. A fraction of the cost.

Works with your existing stack. No migration required.