
Cognostrix exists to deliver forecasts that professional teams can understand, evaluate, and act on.
To provide disciplined, transparent, operationally relevant forecasts for teams who demand more than a black-box signal.
We show our work. Forecasts include drivers, model agreement, and validation metrics—so you can assess, not just consume.
Walk-forward methodology. Calibrated confidence. No cherry-picked backtests. We design for discipline, not marketing.
Everything we build is designed to integrate into real workflows—APIs, alerting, multi-horizon views—so teams can act, not just review.
We publish performance, learn from misses, and iterate openly. Every forecast cycle is a feedback loop.
Cognostrix builds data-driven forecasting platforms for financial assets and complex decision environments. We combine quantitative finance, machine learning, and scalable cloud infrastructure to deliver statistically robust predictions that can be trusted in real-world investment and operational settings.
Our Atlas platform covers the full lifecycle of predictive systems: data ingestion, feature engineering, multi-model forecasting pipelines, signal generation, backtesting, and client-facing APIs. This enables rapid deployment of new assets, strategies, and data sources while maintaining governance and reproducibility.
We work with professional investors, analytics teams, and data-driven organisations through pilot and production engagements—delivering both standardised signal subscriptions and bespoke forecasting solutions based on client data and use cases.
Founded in Sweden, Cognostrix brings together deep experience in tier-1 financial services technology, enterprise delivery, and quantitative system design—with a strong focus on operational robustness, transparency, and continuous model improvement.

We're looking for institutional partners who share our commitment to rigour and transparency.