Your Warehouse Answers in Minutes. The Customer Experience Needs Milliseconds
Your customer data warehouse was built for questions like what happened last quarter and which campaign won. It answers in minutes, and for a report, that's fine.
But personalisation, fraud checks and live offers can't wait minutes: by the time the warehouse responds, the customer has paid, bounced or moved on.
ONE CX™ builds the real-time pipelines that move customer signals the instant they happen, streamed, stitched to the right customer, and delivered to your CX tools in milliseconds. The warehouse still answers the slow questions. The pipelines answer the fast ones, so the experience reacts while the customer is still there.
Four Things Between the Signal and the Moment
From the event firing to the experience reacting the four steps that close the gap to milliseconds.
Carrier Midea
Fanned service-request signals across WhatsApp in real time, doubling completed service requests through instant routing
Government of Assam
Pre-aggregated real-time views across eight departments, dashboards reading in milliseconds, one live picture from on-ground workers to senior officials.
Four Things Between the Signal and the Moment
From the event firing to the experience reacting the four steps that close the gap to milliseconds.
Materialised Views for Fast Reads
Pre-aggregated materialised views so reads return in milliseconds, not minutes the operational speed personalisation actually needs.
"For the Government of Assam, we pre-aggregated live views across eight departments, dashboards that used to wait on overnight jobs now read in milliseconds.
Real-time isn't a demo you ship; it's a system you operate. That's the part most teams underestimate"
- — Ravish Chandra, CX Architect, ONE CX
Streaming Stack We Build
Streaming Stack We Build
Composable by design. We build the real-time pipelines on the streaming and warehouse tools you already run. Never a second pipeline to maintain.
Streaming & Events
Apache Kafka
Our pick for the real-time customer event backbone: the durable, high-throughput spine most streaming runs on.
Apache Flink
Confluent
Change Data Capture
Debezium
Our pick for change data capture: streaming every warehouse and database change the instant it happens.
Fivetran / Airbyte (CDC mode)
Fast Reads & Serving
Materialised views (warehouse-native)
Our pick for pre-aggregated reads: milliseconds, not minutes, inside the warehouse you own.
Redis / low-latency cache
Why CTOs Choose ONE CX for Real-Time Customer Data
01
We Build for Operational Speed
The millisecond reads personalisation needs, not the minute-scale queries a warehouse was designed for.
We Build for Operational Speed
The millisecond reads personalisation needs, not the minute-scale queries a warehouse was designed for.
02
We Move the Signal; Your Foundation Built the Record
We stitch live events to the customer your foundation has already resolved. We don't rebuild identity in the pipe. One system builds the record; this one moves it
We Move the Signal; Your Foundation Built the Record
We stitch live events to the customer your foundation has already resolved. We don't rebuild identity in the pipe. One system builds the record; this one moves it
03
Built for India's Real-Time Reality
UPI callbacks, WhatsApp delivery receipts, patchy 4G, mid-range devices. We build pipelines for the real-time signals Indian commerce actually emits.
Built for India's Real-Time Reality
UPI callbacks, WhatsApp delivery receipts, patchy 4G, mid-range devices. We build pipelines for the real-time signals Indian commerce actually emits.
04
On Your Stack, No Second Pipeline
Built on your stack. Kafka, Flink, your warehouse, composable, with no second pipeline to maintain. Your data and your pipes stay yours.
On Your Stack, No Second Pipeline
Built on your stack. Kafka, Flink, your warehouse, composable, with no second pipeline to maintain. Your data and your pipes stay yours.
05
We Operate It, So Real-Time Stays Real-Time
We run the pipelines after go-live, monitoring lag, handling spikes, keeping latency low, so real-time stays real-time, not a launch-day demo.
We Operate It, So Real-Time Stays Real-Time
We run the pipelines after go-live, monitoring lag, handling spikes, keeping latency low, so real-time stays real-time, not a launch-day demo.
What CTOs Ask ONE CX About Real-Time Customer Data Pipelines
What's the difference between Real time pipeline and our data warehouse?
The warehouse answers analytical questions in minutes. perfect for reports. Pipelines answer operational questions in milliseconds: what to show this customer, right now. We build both to work together. The warehouse for depth, the pipelines for speed.
How is this different from the Customer Data Foundation?
The Foundation builds the trusted record is the data right? Pipelines move it fast, does it arrive in time? The Customer Data Foundation resolves identity; we stitch live events to that resolved customer. One builds the record, the other moves it.
Isn't real-time just a faster batch?
No. Batch waits for a schedule; streaming moves each event the instant it fires. For personalisation and fraud, the difference between "tonight" and "now" is the difference between acting and missing.
How do you get milliseconds out of a warehouse built for minutes?
Streaming for the signals that can't wait, and pre-aggregated materialised views for fast reads. So the hot path returns in milliseconds without re-architecting your whole warehouse.
Do you replace our streaming stack, or build on it?
Build on it. Kafka, Flink, Confluent, your warehouse, composable, no second pipeline, no lock-in. Your pipes stay yours.
How does this feed personalisation and AI?
We deliver the live signal; the Decision & Recommendations Engine decides what to do with it, and the AI & ML Data Layer turns it into features. We move it in time; they act on it.
Who operates the pipelines once they're live?
We do, with you. Monitoring lag, handling traffic spikes, keeping latency low. Real-time that isn't operated drifts back to slow.
Does real-time make DPDP harder?
No. Consent has to move as fast as the signal. Your foundation carries the consent state on the resolved record; our pipelines respect it in flight, so every real-time action is DPDP-defensible by construction, not by after-the-fact audit.
The Moment Doesn't Wait for Your Warehouse. We build and operate the real-time pipelines that move customer signals in milliseconds — so the experience reacts while the customer is still there.