One model.
Every customer decision.
Know what every customer will do next — and act on it before the moment passes.
custom-built for your business — not a generic, one-size-fits-all model.
retained. Data is processed in memory only — nothing written to disk or stored.
prediction latency through one frozen API.
data scientists required to run it.
Customer AI shouldn't need a data-science team.
Most companies want churn scores, fraud flags, LTV forecasts, and recommendations. Getting them means hiring scarce ML talent, stitching pipelines, and maintaining a separate model for every use case. Most of those projects stall before production.
6+ months
to stand up a single production model in-house.
1 model per task
— teams rebuild from scratch for churn, then fraud, then LTV.
Scarce, expensive talent
— a single data scientist costs more than EkamFlow, and you need several.
One model. Every customer decision.
EkamFlow trains a single private model on your data and serves every prediction your business runs on — through one consistent API. Each use case is customized for your business, not a generic off-the-shelf model.
Churn
Identify at-risk customers before they leave.
Fraud
Real-time scoring for every transaction.
Lifetime value
Predict long-term revenue per customer.
Recommendations
Next-best product, content, or offer.
Lead scoring
Rank prospects by conversion probability.
Next-best offer
The right promotion for each individual.
Next-best channel
Email, push, SMS — the channel that converts.
Next-best time
Optimal send time per customer.
From your warehouse to live decisions.
Connect your data.
Connect any warehouse or CDP — Databricks, Snowflake, BigQuery, SQL, and more. Schema-agnostic onboarding — no feature engineering, no pipelines.
EkamFlow trains your private model.
One model, trained only on your data. Never shared across customers.
Serve predictions anywhere.
One API, sub-60ms, every use case. The model keeps improving; the contract never changes.
Built like infrastructure, priced like a no-brainer.
Custom-built, not generic.
Every model is trained and tuned for your specific business. Not a one-size-fits-all solution — each use case is customized to your data, your logic, your KPIs.
Zero data retention.
Data is processed in memory only. Nothing is written to disk or stored. Your records pass through, predictions come out, and the raw data is gone.
No tech required.
Warehouse-native and schema-agnostic. No ML team, no MLOps.
Cheaper than one hire.
Full-stack customer AI for less than a single data scientist's salary.
Every prediction, one contract.
A single API call returns every decision your business needs. The model evolves continuously; the response shape never changes.
“We replaced three separate model pipelines with one EkamFlow integration. Same predictions, one tenth the maintenance.”
— Head of Growth, [Company]
{
"model": "ekamflow-v3.2",
"customer_id": "cust_29841",
"predictions": {
"churn_risk": 0.84,
"fraud_score": 0.003,
"ltv_12m": 2840,
"lead_score": 92,
"next_best_offer": "premium_upgrade",
"next_best_channel": "email",
"next_best_time": "2026-06-27T09:30:00Z"
},
"confidence": 0.97,
"latency_ms": 12,
"data_retained": false
}Frequently asked.
EkamFlow trains a shared model on your data with dedicated heads per task, so each prediction is purpose-built while sharing one backbone and one API.
No. Every customer gets a private model trained only on their own data. Nothing is shared across tenants.
No. Onboarding is schema-agnostic and warehouse-native; there's nothing to engineer.
Sub-60ms for live serving, through a single API contract that never changes.
Less than the cost of one data scientist. Talk to us for detailed pricing tailored to your volume.
See EkamFlow on your own data.
No commitments. Connect your warehouse and get live predictions before you commit.