A self-optimizing, autonomous statistical modeling platform that finds the hidden driver combinations in complex data systems, quantifies how big each effect is, and tells you which discoveries it can actually prove are real.
An autonomous analytical engine that finds the hidden interactions in complex experimental data, the combinations of factors that actually drive an outcome, and puts a number on how big each effect is and how confident we are it is real.
Autonomously surfaces the combinations of factors (dose × biomarker × subgroup, time × channel × cohort) that actually drive an outcome, not just single variables.
For every interaction it measures how large the effect is and how confident we can be that the finding is real, not noise.
Every discovery has to pass four independent statistical checks before it counts. Nothing ships on the strength of a single test.
The bar for each check is derived from the data itself, never hard coded, so the standard fits the dataset in front of it.
The engine adjusts its own sensitivity automatically and can never lower the bar for what counts as a real finding.
Instead of a list of candidate signals, it reports which discoveries it can prove are real and puts a number on its own false-positive rate.
Most tools hand you a list of maybe. Statletix reports only what survives four independent checks, tunes itself without ever lowering the bar, and tells you exactly how often it is wrong.
The same autonomous engine powers a deep, high-trust biopharma practice and a fast, repeatable enterprise practice.
For small to mid oncology and immuno-oncology biotechs with real clinical or real-world data, running or planning trials where a single failure can end the company.
For mid-market, KPI-obsessed teams in revenue and operations heavy verticals who want agents that act on hidden patterns, not another chatbot.
Consulting is the wedge. Productized modules are the scalable layer that grows from it.
We pin down the real problem and triage which questions are actually worth the engine's time.
The engine ingests your complex experimental data and runs the full interaction search across every factor.
Hidden systems information is revealed. The factor combinations that genuinely drive the outcome surface, each one proven.
We translate proven findings into a data-driven, statistically supported fix you can act on with confidence.
We measure the result and confirm the fix delivered the success it promised, then close the loop.
Two complementary layers: high-trust consulting up front, repeatable productized modules as you grow.
Domain expertise and the Statletix engine applied to your data, a project or retainer where the engine is the backbone.
Prebuilt analytics and agents that run on your data with minimal setup, fixed-price snapshots with a clear deliverable.
Not IT, not procurement. The decision-makers who are desperate for leverage.
Contact us for pilot discussions and early-adopter discounts. One really good brain plus engine to triage your highest-stakes decision.