AI agents that turn data into decisions.
DataCraves connects to your warehouse, watches every metric that matters, and ships insights, forecasts, and weekly reports straight to your team — so people stop staring at dashboards and start acting on the signal.
How DataCraves agents work.
Three steps. No engineering team required.
Connect your data
OAuth into your warehouse, BI tool, or product analytics. Read-only by default. Schema is auto-mapped in under five minutes.
Pick your agents
Five purpose-built agents — Insights, Forecast, Cohort, Reporter, Pipeline. Mix and match per team.
Get answers, not dashboards
Agents push proactive briefings to Slack, email, or your tool of choice. No more dashboard fatigue.
Built for the questions your team asks every Monday.
Five battle-tested use cases shipped on day one.
Reduce churn by detecting at-risk cohorts in real time
By the time a customer cancels, the warning signs have been in your data for weeks — declining logins, unanswered support tickets, billing disputes. Most teams catch them too late because no human has time to watch every account every day.
Forecast inventory demand 30 days out — by SKU, by region
Stockouts kill conversion; over-ordering kills margin. Most demand forecasts are spreadsheets updated weekly by one analyst, blind to weather, promo cadence, and competitor pricing.
Detect transaction anomalies before they become fraud cases
Rule-based fraud systems miss novel attack patterns and drown your ops team in false positives. Tuning them is a full-time job and the fraudsters always move first.
Auto-generated weekly campaign performance reports
Your marketing team spends 6+ hours every Monday assembling the weekly performance deck. By the time it's ready, half the insights are stale and nobody on the exec team reads past slide three.
Pipeline health monitoring with auto-rerun and root-cause hints
Your data pipelines fail at 3am. Your on-call engineer wakes up, spends 40 minutes finding which DAG broke, another 30 figuring out why, and a final 20 reassuring downstream stakeholders. Repeat 3x a week.
Five agents. One pane of glass.
Each agent specialises in one job and does it well. Compose them like Lego.
Insights Agent
Auto-finds anomalies and opportunities in your data
Forecast Agent
Predicts your key metrics 7, 30, and 90 days out
Cohort Agent
Segments users into actionable behavioral cohorts
Reporter Agent
Writes weekly summaries to Slack, email, or Notion
Pipeline Agent
Monitors data quality and auto-reruns failed jobs
Start in five minutes. Scale when you're ready.
Starter at ₹999/mo · Pro at ₹4,999/mo · Enterprise on contact. No annual lock-in.
Trusted patterns from real deployments.
Aggregate outcomes from pilot deployments. Individual clients remain confidential under NDA — every visualization on this site uses synthetic data.
Across SaaS pilots after the Cohort + Insights agents reach steady-state (typically week 8).
Mid-market e-commerce inventory deployments using the hybrid Prophet + XGBoost forecaster.
Data-platform teams using the Pipeline agent's auto-retry classifier vs raw alerting.
📊 All numbers reflect aggregate pilot outcomes; individual deployments vary. Charts and dashboards across this site use synthetic data to preserve client confidentiality.