90%
API-latency reduction on the platform we re-engineered for a leading US telemedicine provider
73%
of enterprise data leaders rank data quality as the #1 barrier to AI success - Gartner 2025.
10.3 X
Strong data integration delivers 10.3x ROI vs 3.7x for poor connectivity - Integrate.io, 2024
Most data-engineering work stops at a warehouse and a dashboard. Your customer experience doesn't.
The problem for your Digital and CX teams isn't storing data. It's that customer data is fragmented, slow to activate, across systems and not built for the AI you're trying to run.
ONE CX builds the customer data layer your experiences actually run on. Identity resolved, signals flowing in real time, governed by design and AI-ready, using the stack you already own.
We're not a platform vendor and we're not a system integrator. We're the team that makes your customer data fast, trusted and ready for the experience it has to power, then operates it so it stays that way.
We Don't Sell Data Platforms. We Build the Customer Data Foundation Your Experience Needs
90%
API-latency reduction on the platform we re-engineered for a leading US telemedicine provider
73%
of enterprise data leaders rank data quality as the #1 barrier to AI success - Gartner 2025.
10.3 X
Strong data integration delivers 10.3x ROI vs 3.7x for poor connectivity - Integrate.io, 2024
Most data-engineering work stops at a warehouse and a dashboard. Your customer experience doesn't.
The problem for your Digital and CX teams isn't storing data. It's that customer data is fragmented, slow to activate, across systems and not built for the AI you're trying to run.
ONE CX builds the customer data layer your experiences actually run on. Identity resolved, signals flowing in real time, governed by design and AI-ready, using the stack you already own.
We're not a platform vendor and we're not a system integrator. We're the team that makes your customer data fast, trusted and ready for the experience it has to power, then operates it so it stays that way.
Across Our Data Audits, Every CX Promise Fails on the Same Thing: The Data Underneath
One Customer. Many Identities
Customer data lives across CRM, apps, WhatsApp, UPI, and offline channels. Each holds a different fragment of the customer. No system sees the whole picture, so personalisation runs on incomplete history.
The Moment Needs Milliseconds
The warehouse answers in minutes. Personalisation needs milliseconds. The offer fires after the customer has already moved on.
Demo Data Wasn't Your Data
The model performed well on a clean data extract. In production, it relied on stale, incomplete, and poorly joined data, so the promised uplift never arrived.
Foundation, Speed and Intelligence. Built and Operated
Each tied to a customer-experience outcome, each run by us after go-live, not handed over and left to drift.
Foundation, Speed and Intelligence. Built and Operated
Each tied to a customer-experience outcome, each run by us after go-live, not handed over and left to drift.
Six Layers Beneath a Customer Experience That Performs
From scattered records to a foundation your experience can act on, built once, operated so it never drifts.
Ingestion & Connection
Every source, CRM, app, WhatsApp, UPI, dealer, offline, wired into one foundation, without hand-built connectors that break.
Foundation Live and Operated in 90 Days
Foundation built, signals moving, AI-ready, the data layer live and operated in 90 days, value measured at every stage.
Why CX-Led Enterprises Choose ONE CX for Data Engineering
01
We Build the Foundation, Then We Operate It
Most data projects end at handover. We build the customer-data layer and run it, pipelines, quality, governance, so it keeps working long after go-live.
We Build the Foundation, Then We Operate It
Most data projects end at handover. We build the customer-data layer and run it, pipelines, quality, governance, so it keeps working long after go-live.
02
Engineered for the Experience, Not Just the Report
We build customer data for operational speed, the millisecond reads personalisation needs, not just the analytical queries a dashboard runs.
Engineered for the Experience, Not Just the Report
We build customer data for operational speed, the millisecond reads personalisation needs, not just the analytical queries a dashboard runs.
03
Built for India's Data Reality
UPI, WhatsApp, vernacular, offline dealer and branch, we engineer the customer signals Indian commerce actually runs on, not a Western data model ported in.
Built for India's Data Reality
UPI, WhatsApp, vernacular, offline dealer and branch, we engineer the customer signals Indian commerce actually runs on, not a Western data model ported in.
04
On Your Stack, in Your Boundary
We build on the warehouse and cloud you already own, composable, no data duplication, no lock-in. Your customer data never leaves your control.
On Your Stack, in Your Boundary
We build on the warehouse and cloud you already own, composable, no data duplication, no lock-in. Your customer data never leaves your control.
05
DPDP-Defensible by Architecture
Consent, lineage and audit built into the data layer from day one, so the customer data under your CX is defensible as enforcement tightens.
DPDP-Defensible by Architecture
Consent, lineage and audit built into the data layer from day one, so the customer data under your CX is defensible as enforcement tightens.
What CTOs, CDOs and CMOs Ask ONE CX About Data Engineering
What exactly does ONE CX's Data Engineering practice do?
We build and operate the customer-data layer your CX runs on: identity resolution, real-time pipelines, governance, and AI-ready features, on the warehouse and cloud you already own. Build, then run.
How is this different from a CDP?
A CDP activates customer data for marketing. We build the foundation underneath it the resolved identity, the governed record, the real-time pipes. On composable stacks we build the layer; your CDP (or our Martech team) activates it. One is the foundation, the other is the activation.
We already have a data warehouse. Do you replace it?
No. We build composably on the Snowflake, BigQuery or Databricks you already run, no duplication, no second copy of your data, no lock-in.
Why does real-time matter, and isn't our warehouse already fast?
Warehouses answer in minutes; personalisation needs milliseconds. We engineer operational-speed reads, materialised views, edge caching, streaming, so the experience reacts in the moment.
How does this make our AI and personalisation work better?
Models are only as good as the data beneath them. We build the feature stores and pipelines that feed your personalisation and decisioning AI fast, so the learning loop closes in seconds, not hours. We build the data; the Decision Engine makes the call.
How do you handle DPDP and customer-data governance?
Consent, lineage and audit built into the data layer, not bolted on, with penalties running up to ₹250 crore per instance, defensibility by construction matters more as enforcement tightens toward 2027.
Who owns the data and the infrastructure?
You do. We build in your boundary, on your stack, documented and handed over. No black box, no lock-in.
Our AI initiatives keep stalling, is the data layer the reason?
Usually, partly. Models are only as good as the data beneath them, and most stalled pilots trace back to fragmented identity, stale signals or ungoverned inputs, not model quality. Our AI MAX practice validates every use case on your own data in its first 30 days precisely to find out. Where the foundation holds, they build on it. Where it doesn't, we fix the specific gap the use case needs, a feature store, a real-time pipe, an identity fix, not a two-year platform programme. Data Engineering owns the foundation; AI MAX owns the model-to-production layer on top. Sequenced per use case, as one pod
We're being pitched a CDP right now. Should we buy it, or build the foundation first?
Ask one question of the CDP pitch: what does it activate? A CDP is an activation laye, it needs resolved identity, trusted records and live signals underneath, or it activates fragments. If your foundation is sound, a CDP is a fine next step, and our Martech practice runs that activation. If it isn't, buy the foundation first, it's cheaper than licensing a platform to distribute bad data faster.
Your CX Is Only as Good as the Data Beneath It. We build and operate the customer-data foundation, real-time, governed, AI-ready, so every experience you ship actually performs.