InfiniteWatch + Confluent: Turning Customer Interaction Data into Real-Time Intelligence

Every customer interaction generates signals that matter—a failed checkout, repeated form errors, a frustrated support call, a confusing AI agent exchange, or an unresolved email thread. Individually, these are isolated events. Connected, they reveal customer intent, friction points, operational risk, and opportunities for action.

The problem is that most enterprises store these signals in silos: web session recordings, voice systems, email platforms, CRMs, support tools, analytics stacks, and increasingly, AI agent logs. Valuable context exists—but it is fragmented, delayed, and difficult to operationalize.

New York City-based InfiniteWatch is building an AI-native customer interaction intelligence platform that unifies these streams into a continuous, real-time understanding of customer behavior and operational state.

At its core is Confluent.

From Startup Program to Production in One Quarter

InfiniteWatch’s journey with Confluent moved quickly. After joining Confluent for Startups in Q4 2025 and receiving startup credits through the program, the team rapidly integrated Confluent as the event backbone for its platform architecture. By the end of Q1 2026, InfiniteWatch had its solution running in production—streaming customer interaction data in real time to power enrichment pipelines, AI analysis services, and downstream operational workflows.

For a startup building a data-intensive AI platform, speed matters. Confluent for Startups gave InfiniteWatch immediate access to production-grade streaming infrastructure, allowing the engineering team to focus on product innovation rather than standing up and managing foundational eventing systems. The result was a significantly accelerated path from architecture design to live deployment.

InfiniteWatch Reference Architecture

Confluent provides the event backbone and connector to Clickhouse that allows InfiniteWatch to ingest, buffer, process, replay, enrich, and route massive volumes of customer interaction events across distributed AI and operational systems. This architecture is foundational because customer interaction data has four defining characteristics: It is bursty, high-volume, correlated across systems, and valuable beyond first consumption.

A product launch can suddenly create 10x normal web traffic. A support outage can generate surges in calls, tickets, and escalations. AI voice agents create streams of transcripts, interruption signals, sentiment indicators, intents, and action traces. Session replay platforms generate dense clickstream telemetry. These workloads create unpredictable spikes that downstream systems must absorb without losing fidelity.

Confluent decouples producers from consumers by introducing a durable event layer between capture and processing systems. Web events, call transcripts, CRM updates, support interactions, AI agent actions, and workflow events are published into purpose-built topics and consumed independently by enrichment pipelines, AI analysis services, alerting systems, operational workflows, and analytical stores.

This architecture gives InfiniteWatch five critical capabilities:

1. Burst absorption and horizontal scale Confluent buffers sudden surges in customer interaction data, allowing downstream AI services to scale independently rather than fail under load.

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2. Durable event preservation High-value events—a failed checkout, a misrouted escalation, an AI hallucination in customer support—are preserved durably for guaranteed processing, retry, investigation, and recovery.

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3. Service decoupling Capture pipelines, enrichment systems, AI inference layers, operational automations, and storage systems evolve independently without tightly coupling the stack.

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4. Replayable intelligence Replay is essential for AI systems. Historical event streams can be reprocessed when detection models improve, compliance investigations arise, or customer journey reconstruction is needed.

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5. Multi-destination routing Some events drive immediate operational action; others feed feature stores, analytics systems, observability pipelines, and long-term intelligence layers. Confluent routes each appropriately.

Reference Architecture

A typical InfiniteWatch deployment follows five stages:

Capture → Stream → Enrich → Understand → Act

Capture: Events are captured from browser sessions, mobile apps, call platforms, emails, CRM systems, ticketing systems, and AI agents.

Stream: Signals are published into Confluent topics partitioned by source, customer, and event type.

Enrich: Streaming pipelines normalize schemas, add account metadata, correlate journey IDs, apply privacy controls, and join business context.

Understand: AI services consume enriched streams to detect friction, summarize intent, classify severity, identify repeated failures, monitor agent quality, and surface revenue or operational risk.

Act: Insights are published back into event streams that trigger workflows, alerts, escalations, recommendations, or autonomous AI agent actions. Here's a look at the InfiniteWatch dashboard, which provides a real-time view into website performance, surfacing key customer friction points, operational issues, and the highest-priority problems requiring immediate attention.

Getting Started

InfiniteWatch represents a broader shift occurring across the enterprise software landscape: Customer interaction data is no longer simply something to store and analyze after the fact – it is becoming a continuous, real-time operational system for AI-driven businesses. As AI agents, voice systems, digital channels, and operational workflows increasingly converge, the ability to process customer signals instantly, reliably, and at scale will become foundational infrastructure rather than a competitive luxury. By building on Confluent’s Data Streaming Platform, InfiniteWatch is architecting for that future today: one where customer interactions are not isolated records trapped in disconnected systems, but live streams of intelligence that continuously drive automation, operational awareness, and better customer outcomes.

InfiniteWatch and Confluent provide exactly that foundation.

Learn more about InfiniteWatch, sign up for Confluent Cloud for free, and apply to the Confluent for Startups program.

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