Churn Prediction for a 2M-user SaaS
Built a gradient-boosted model identifying at-risk users 30 days before churn, enabling proactive outreach.
Premium Data Science
Strategy-first data science for companies that refuse to guess. We build models, pipelines, and dashboards that drive decisions — not decks.
About DataMind
We're a boutique data science studio embedded in your workflow — not parachuted in with a slide deck. We write production-grade code, deploy real models, and measure what matters to your business.
Our team has shipped ML systems at Fortune 500 companies, early-stage startups, and public-sector organizations. We know that the best model is the one that gets used — so we obsess over both the math and the product.
What We Do
Custom model development — from baseline to production. Classification, regression, clustering, anomaly detection, and beyond.
Robust pipelines that move, transform, and serve data reliably at any scale — so your models always have clean inputs.
Dashboards and reports that answer real questions — not vanity metrics. Built for the people who make decisions, not data teams.
From text classification to RAG pipelines and fine-tuned language models — we integrate language AI into real products.
Models that work in notebooks die in production. We build the infrastructure to deploy, monitor, and retrain reliably.
Not sure where to start? We audit your current data stack, identify the highest-ROI opportunities, and build a 12-month roadmap.
Case Studies
Built a gradient-boosted model identifying at-risk users 30 days before churn, enabling proactive outreach.
Fine-tuned a transformer model to extract clauses, obligations, and risk signals from legal documents at 10× human speed.
Replaced a 48-hour reporting lag with a live executive dashboard, streamed from 6 disparate data sources.
Built a feature store and real-time recommendation engine serving 500K daily users with sub-100ms latency.
Multi-store, multi-SKU demand forecasting model that reduced overstock by 28% and cut stockouts in half.
Zero-shot + fine-tuned classifier routing 10K daily tickets to the right queue with 95% accuracy.
How We Work
We start where the business pain is, not where the data is. A structured 5-day sprint to understand your problem, your data, and what "success" means.
~1 weekInventory of your existing data assets. We assess quality, gaps, and feasibility — so there are no surprises mid-project.
~1–2 weeksA working prototype scoped to prove the core hypothesis before we build at scale. Go / no-go decision point with your team.
~2–4 weeksFrom prototype to production-grade system. Code reviews, testing, CI/CD, documentation — everything your engineering team expects.
~4–12 weeksKnowledge transfer, runbooks, and optional ongoing support or retainer. You own the system outright.
OngoingClient Voices
"DataMind delivered what three previous agencies promised and couldn't. The churn model went live in 8 weeks and paid for itself in the first month."
"The contract intelligence system they built isn't just fast — it's more accurate than our senior associates. We've cut document review costs by 60%."
"For the first time, our executives make decisions with data from this morning, not last quarter. The dashboard transformed how we run the business."
"They embedded with our team, wrote documentation our engineers could actually follow, and left us fully capable of maintaining everything ourselves. Rare."
Interactive Demo
Adjust the inputs below and watch a simplified churn-risk model update in real time.
Start a Project
Most engagements start with a free 30-minute scoping call. Tell us what you're working on, and we'll tell you honestly whether we're the right fit.