Do you want analytics that actually improves your business?
Our tested approach to world-class analytics
About TrueState
TrueState is an agentic analytics company that exists to help teams make good decisions, fast with the data they have. We've written a series of guides to help teams on this journey, and an agentic analytics platform for them to deliver.
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