You're Not Doing Analytics. You're Doing Expensive Reporting.
About TrueState
Most analytics teams are doing reporting and calling it analytics. They've got Snowflake. They've got Tableau. They've got a couple of analysts who spend most of their time cleaning data and building dashboards nobody acts on. And they know that they're not getting the value they should be from their data.
TrueState exists for those teams.
We're an agentic analytics company built on a simple belief: world-class analytics shouldn't require a world-class data science budget. The teams pulling ahead right now aren't the ones hiring more analysts; they're the ones applying genuine analytical sophistication at machine speed. Predictive models in hours, not weeks. Causal analysis on demand. Real data science, not just faster querying.
We were founded by a former McKinsey consultant who got tired of watching great companies make mediocre decisions with mediocre analytics. We built the platform we wished existed: one that sits on top of your existing Snowflake or BigQuery stack, handles the hard analytical work your team doesn't have capacity for, and actually gets used. It's fast, rigorous, and built around the decisions that matter.
Free resources to build world-class analytics
Our mission
World-class analytics for every team
We're building a world where world-class analytics capability is the default for every team, not a luxury reserved for only the largest corporations.
Each phase of our roadmap compounds into a singular goal: software that performs at the level of world-class analytics, that collapses the gap between data and optimal action.
2023 — 2024
Phase I — Core Infrastructure
We invested in dependable ingestion, resilient orchestration, and security that satisfies the strictest operational requirements. With the rails in place, everything we ship now runs on hardened, trustworthy foundations.
Objectives
Security and compliance enterprises can rely on (SOC 2, ISO 27001)
Infrastructure that scales and keeps up with real workloads
Pipelines that stay up and keep data flowing
early 2025 — mid 2025
Phase II — High-Impact Automation
With solid rails underneath, we targeted the repetitive work that buries analytics teams; answering ad-hoc questions, wiring dashboards, and sending the same reports. TrueState now handles the grind so analysts can focus on scaling their impact.
Objectives
Ask questions in plain English and get answers from your data
Dashboards built from what you ask for, without manual wiring
Recurring reports that write themselves and are ready to share
mid 2025 — Present
Phase III — Super human analytics
We are now training our AI data scientist to operate at the edge of human expertise. The benchmark is simple: outperform elite teams in real data science competitions while providing real operational utility for our customers.
Objectives
Data science that learns from what happens in production
Build and iterate on models in minutes, not weeks
AI that can compete with top data scientists on real problems