Expert predictive modeling support, from the people behind scikit-learn.
Reduce technical debt. Secure your production pipelines. Get a trusted escalation path, backed by the maintainers themselves.
ML pipelines don't fail loudly. They erode quietly.
The real risk isn't a single bug. It's the slow accumulation of fragile pipelines, inconsistent practices, and decisions that work for now because only a few people understand them.
- 01Unclear best practices for predictive modeling pipelines
- 02Inconsistent preprocessing, validation, and feature handling
- 03Models that are hard to maintain or upgrade over time
- 04Surprising behavior or performance regressions
- 05Knowledge concentrated in a handful of contributors
- 06No trusted escalation when decisions are ambiguous or high-stakes
More predictable systems. Shared standards. Less key-person risk.
Probabl Support is ongoing expert back-up, not one-off consulting. You keep ownership; we provide escalation, guidance, and shared standards, including edge cases most teams hit alone.
- Causal inference
- Explainability
- Survival analysis
- Calibration
- Imbalanced data
- Time-series CV
- Drift & monitoring
- Probabilistic forecasting
- Own, ideate and produce predictive modeling systems and are accountable for results, reliability and continuity
- Need a trusted and rapid escalation path for ML issues
- Want to upskill the team without outsourcing ownership
- Need an expert ML sparring partner
- Want ML work fully outsourced → See Forward Deployed Engineer
- Are looking for deep learning support
- Don't rely on scikit-learn or predictive ML tooling
Ongoing expert back-up. Not one-off consulting.
You keep ownership of your ML systems. We provide the escalation path, the standards, and the maintainers, so your team can ship with confidence.
Essential for fast answers. Growth for shared standards. Scale for long-term ownership.
Fast answers, when you need them.