Typical timeline
4–8 weeks (single target + basic cleaning + API/report) / 8–12 weeks (multiple sources + alerts + dashboard) / 12+ weeks (high-risk flows & auditing).
What you get
Data review & field definition (sources, gaps, cleaning rules)
KPI/metric definitions (what to predict and how to measure)
Training + validation report (accuracy, limits, usable scope)
Prediction/risk scoring API
Batch scheduling (daily/weekly runs)
Alerts (thresholds/rules and notifications)
Dashboard (optional)
Refresh strategy (monthly/quarterly updates)
Use cases
Tutoring center finance forecasting
Forecast revenue/refunds/costs/cashflow with early warnings.
Crypto transaction anti-fraud
Detect abnormal behavior, risk tiers and alerts, with review flow integration.
How it works
1
Data review & cleaning
- Assess data quality
- Define cleaning rules
- Build repeatable pipeline
- Align KPIs & acceptance
2
Deploy & monitor
- Train and report
- Deploy API/schedules
- Alerts and monitoring
- Feedback & refresh strategy
FAQ
It depends. We evaluate your current data first and recommend the smallest feasible scope.
Yes. We define goal, acceptance, and limitations upfront for the PoC.
We validate against pre-defined KPIs/error types and deliver a report.
Alerts can be triggered by risk tiers, thresholds, or anomaly rules via email/system notifications.
We provide refresh cadence and feedback loops to mitigate drift over time.
Tell us your need—we’ll reply with a feasible plan + timeline
Reply in 1–2 business days｜Plan first, then decide