trueory.

Every company has a data story. We make it true.

A data story is only true if the numbers reconcile, the pipeline runs on Monday morning and the model still works once it meets your real data. We build the foundations and AI systems that pass that test, working alongside your team.

Applied AI & data hello@trueory.com

Why Trueory

Trueory, as in true story.

Most data and AI work fails quietly. A dashboard nobody opens, a model nobody trusts, a pilot that never leaves the sandbox. The name is the standard we hold ourselves to: be honest about what your data can and cannot tell you, be specific about cost and limits, and build things people will actually use every day.

What we do

Built to be used, not just built.

Each engagement is scoped to one decision or workflow, led by experienced practitioners and judged against a baseline we agree on before any work starts.

01.

Data foundations

Data your team can trust

Dashboards disagree, pipelines break and AI projects stall because the data underneath them isn't ready. We fix that with lakehouse architecture, pipelines and governance on the platforms you already run, so the business and the models work from one version of the numbers.

  • Lakehouse architecture
  • Pipelines & integration
  • Governance & data quality
02.

Applied AI

Shipped to real users

Assistants, agents and retrieval systems grounded in your own data. We scope one workflow first, evaluate it against a baseline and keep monitoring it in production. If it can't beat the baseline, it doesn't ship.

  • Assistants & agents
  • Retrieval over your own data
  • Evaluation & monitoring
03.

Advisory & enablement

Your team owns it afterwards

Architecture reviews, roadmaps and hands-on coaching. We pair with your engineers and analysts from day one, so the system keeps running and keeps improving after we leave.

  • Architecture reviews
  • Data & AI roadmaps
  • Hands-on team coaching

Moving to Lakebase, or stuck getting there?

A migration playbook, a target architecture and your first workloads moved, all scoped and measured.

Lakebase Migration Sprint

How we work

Focused teams. Deep expertise. Honest scope.

Start with the question, not the model.

We begin with the decision you need to make better and work back to the data and AI it actually needs. The technology comes last.

Build with your team, not around it.

We pair with your engineers and analysts from day one. There is no handover deck at the end, because your team has already been running the system with us.

Measure what matters.

Every engagement has a baseline and a number we agree to move, whether that is cost per query, latency, accuracy or adoption. A pilot that answers in 400 ms on sample data and in six seconds on yours hasn't measured anything yet.

Say the true thing.

If AI isn't the answer, we'll tell you, and tell you what is. It's the fastest way to save a budget.

Ready to take your pilot to production?

Start with a two-week Production Readiness Assessment. You get a written view of where the pilot stands and what it will take to run it in production. A short call is enough to see if we're the right fit.