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Data & Integration Engine

The "Plumbing" Specialists

We specialize in the plumbing. Whether it's ingesting terabytes of ad data or syncing with Garmin watches, we build the pipelines that keep your data clean and fast.

Perfect For

  • AdTech platforms processing billions of events daily
  • IoT companies with fleets of connected devices
  • Wearables startups syncing data from Garmin, Fitbit, Apple Health

What's Included

High-Volume Data Pipelines

Kinesis, SQS, and Lambda for real-time stream processing

Hardware & IoT Integration

Device SDKs, MQTT, and edge computing solutions

Real-Time Processing

Sub-second latency for time-sensitive applications

Third-Party API Integration

Connect to any external service with robust error handling

The Problem We Solve

Data pipelines are the unsexy infrastructure that makes or breaks products. When they fail, your users see stale data, lost transactions, or worse—silent data corruption that you don't discover for months. The complexity compounds quickly: one API integration becomes ten, each with different authentication schemes, rate limits, and failure modes.

We build pipelines that handle edge cases gracefully: network timeouts, malformed data, rate limits, and vendor outages. Your data stays consistent even when third-party APIs don't cooperate. Every pipeline includes comprehensive observability—you'll know exactly what's flowing through your system and get alerted before small issues become customer-facing problems.

Our Approach

We start by mapping your data flows end-to-end, identifying bottlenecks and single points of failure. Then we design for the failure modes that actually matter: what happens when your payment provider goes down for an hour? When a sensor sends malformed JSON? When you suddenly need to process 10x your normal volume?

The infrastructure we build is designed to be operated, not just deployed. Clear runbooks, meaningful alerts, and dashboards that tell you what's actually happening—not just that something is wrong.

Need reliable data infrastructure?

Let's talk about your data challenges.

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