Give AI the context to act on subscriber data
Cleeng brings subscriber data from across your business together, standardises it into one governed model, and makes it available wherever your teams and AI agents work.
So every answer starts with the full picture — not disconnected systems, incomplete records or guesswork.
Turn fragmented data into one clear story
AI is only as useful as the information behind it. Cleeng gives your teams and agents a trusted view of your subscriber, across identities, events, payments, stores and support interactions.
One subscriber, many identities
A viewer signs up on web, renews through an app store, disputes a charge with care. Each system holds a fragment; none holds the person. Identity is stitched across all of them.
Every store speaks its own dialect
Apple keeps access alive in a grace period but revokes it in billing retry; Google and Roku draw those lines elsewhere. One definition of “active” has to absorb every variant.
Events arrive late, twice, or out of order
Notifications replay, correct themselves after the fact, even land on the same second, forcing an explicit precedence order. Yesterday’s numbers survive today’s corrections.
The exceptions are the workload
Transfers, revivals, imported subscribers, refunds that restate revenue. Rare one by one, constant in aggregate. Each learned once, then handled forever.
From fragmented signals to useful context
A single subscriber may appear differently across your app, payment provider, app store, CRM and support platform. Events can arrive at different times, use different terminology or tell only part of the story.
Without the right context, even a capable AI agent can produce incomplete answers.
Cleeng brings those fragments together — so your data tells one consistent, usable story.
One governed source of truthWeb, in-app stores, payment and care partners - every subscriber event is captured, normalised and governed into one model our client and partner teams can build on, then delivered wherever they work. That’s the data I/O we manage, end to end.
Ingestion
DATA IN · 3 WAYS · 22 SYSTEMS- StoreKit 2 (Apple)
- Android / Google Play
- Roku
- Payments · Adyen, Primer
- and more
- Payment enrichment · Adyen
- Customer care · Zendesk
- Marketing · Braze, Mailchimp
- Store reporting · Apple, Google
Web channel native
External S2S normalised on landing
60+ signals → one raw model
- Raw
- Cleansed
- Standardised
- Modelled
- Marts
~450 versioned models
Extraction
DATA OUT · 5 WAYS · 3 HORIZONSThe Core platform runs both ways today: S2S in, webhooks out. Our Snowflake data share serves data out; taking partner data in over the same share is a direction we’re designing.
Turn subscriber context into action
Understand churn
Ask an agent to identify why a subscriber cancelled and surface the relevant payment, engagement and support signals.
> Why did this subscriber cancel last month?
CONTEXT IT DRAWS ONResolve subscriber issues
Give support teams a complete view of the customer without asking them to search across multiple systems.
> Show me everything on this account before I reply.
CONTEXT IT DRAWS ONInvestigate performance
Move from a reported metric to the underlying subscriber events and definitions that explain it.
> What sits behind last week’s churn number?
CONTEXT IT DRAWS ONSupport retention workflows
Help teams identify at-risk subscribers and understand which intervention is most appropriate.
> Which subscribers are most likely to cancel this month?
CONTEXT IT DRAWS ONExplore data conversationally
Let business users ask questions in natural language while keeping answers grounded in governed company data.
> Compare trial conversion across our two markets.
CONTEXT IT DRAWS ONGive your agents the context your business has already earned
See how Cleeng turns fragmented subscriber data into a governed foundation for better decisions, faster answers and more useful AI workflows.