YOUR DATA · YOUR PRIVATE MODEL

One predictive AI
Every decision.

The AI decisioning platform. Train a private model on your data as-is — then decide who to reach, what to offer, on which channel, and when, for every customer. No pipelines. No data science team.

Warehouse-native · works with your stack
Snowflake
Databricks
BigQuery
PostgreSQL
Redshift
Adobe
Salesforce
+ any warehouse or CDP
Ask it anything

Every question. One decision engine.

Select a question to see what EkamFlow returns.

churn_risk

Who's about to leave?

EkamFlow flags at-risk customers weeks before they go quiet — early enough for your team to step in with the right save.

"churn_risk": 84% · high risk
Your move →Send a win-back campaign to 1,240 flagged customers.
How it works

Live in weeks, not quarters.

Three steps, no pipeline work, no data science hire.

01

Connect your data

Securely link the systems you already run — billing, CRM, product. EkamFlow maps it all into one private graph of your business.

02

Your model learns

EkamFlow builds one private model on your business alone. It's never shared with anyone else.

03

Answers reach your team

Predictions land in the tools your teams already use — ready to act on, from day one.

0weeks

From warehouse connection to production predictions.

0model

Replaces 6+ point solutions for churn, fraud, LTV, recs, and more.

<0ms

Real-time prediction latency through a single API.

0bytes retained

We never store your warehouse data — predictions out, nothing kept.

The problem

Most AI projects stall before production.

Gartner
80%

of ML projects never reach production. Teams spend months building models that stall in staging.

McKinsey
6+ months

to stand up a single production model in-house. Multiply that for churn, LTV, lead scoring, and recs.

Industry avg.
$300k+

average cost of one data scientist. You need several — and they still build one model at a time.

Teams hire scarce ML talent, stitch pipelines, and maintain separate models for every use case. EkamFlow replaces the entire stack with one private model and one API.

One model, every prediction

One model. Every customer decision.

From churn prediction and lead scoring to next best action, CLTV, and recommendation engines — each use case is customized for your business, not a generic off-the-shelf model.

churn

Churn Prediction

Predict customer churn before it happens. Our ML model scores every customer's risk of leaving, so you can intervene with retention campaigns at the right moment.

next-best-action

Next Best Action

Determine the next best action for every customer in real time. NBA decisioning across campaigns, channels, and offers — personalized at the individual level.

ltv

Customer Lifetime Value

Predict CLTV and LTV per customer over 12, 24, or 36 months. Allocate acquisition spend and prioritize accounts based on predicted long-term revenue.

recommendations

Recommendation Engine

AI-powered product recommendations personalized for each customer. Surface the next best product, content, or offer to maximize conversion and engagement.

lead-scoring

Predictive Lead Scoring

Rank every lead by conversion probability using ML. Predictive lead scoring that goes beyond rules — your sales team focuses on the leads that will actually close.

Plus next best offer, propensity modeling, segmentation, demand forecasting, and more.

All use cases
In production

One API call. Every prediction.

Score a single customer in under 60ms or process your entire warehouse in one batch job. Same model, same endpoint.

Real-time<60ms
GET /v1/predict
{
"customer_id": "cust_29841",
"churn_risk": 0.84,
"fraud_score": 0.003,
"ltv_12m": 2840,
"lead_score": 92,
"next_best_offer": "premium_upgrade",
"latency_ms": 12,
"data_retained": false
}
Batch148k+ per run
POST /v1/batch
{
"job_id": "batch_20260626",
"total_customers": 148_320,
"predictions_per_customer": 6,
"total_predictions": 889_920,
"processed_in": "4m 12s",
"status": "completed",
"data_retained": false
}
<60ms
real-time latency
148k+
batch per run
0
bytes retained
99.9%
uptime SLA
FAQ

Common
questions.

Everything you need to know about deploying EkamFlow for your business.

EkamFlow trains a shared backbone on your data with dedicated prediction heads for each task — churn prediction, fraud detection, customer lifetime value, lead scoring, next best action, and more. Each output is purpose-built while sharing learned patterns across your customer data.

Next best action (NBA) determines the optimal action for each customer — whether that's an offer, a channel, a time to reach out, or a product to recommend. EkamFlow returns next best action, next best offer, next best channel, and next best time predictions in a single API call.

No. Every customer gets a private AI model trained only on their own data. Nothing is shared across tenants. Your customer data, transaction history, and behavioral signals remain completely isolated.

No. EkamFlow is warehouse-native and schema-agnostic. You don't need data scientists, ML engineers, or MLOps infrastructure. Connect your data warehouse and get predictions like churn, CLTV, lead scores, and recommendations without writing any ML code.

EkamFlow serves real-time predictions in under 60ms through a single REST API. For fraud detection, you send a transaction payload and receive a fraud risk score instantly — fast enough for payment authorization, account takeover prevention, and AML compliance.

Yes. EkamFlow's recommendation engine predicts the next best product, content, or offer for each customer. Unlike standalone recommendation systems, it also returns churn risk, lifetime value, and propensity scores in the same API call — so your personalization is informed by the full customer picture.

EkamFlow predicts customer lifetime value over configurable horizons — 12, 24, or 36 months. The CLTV prediction factors in purchase history, engagement patterns, and behavioral signals to estimate future revenue per customer, helping you allocate acquisition spend and prioritize high-value accounts.

Less than the cost of one data scientist. EkamFlow replaces an entire ML stack — prediction models, pipelines, serving infrastructure, and monitoring — at a fraction of the cost. Talk to us for detailed pricing tailored to your prediction volume.

Your data already knows. Ask it.

Connect your data and see live answers — before you commit to anything.

Book a demo

No commitment · Live on your data in weeks

Get started

See EkamFlow on your own data.

No commitments. Connect your warehouse and get live predictions before you commit.

Not ready yet? See how it works first

Typical onboarding
Connect warehouse
Week 1
Model training
Week 1–2
API integration
Week 2
Testing & validation
Week 2–3
Live predictions
Week 3
Most teams are live within 2–3 weeks.

Replies within one business day