Amazon Web Service Data Sync 1 Streamline Icon: https://streamlinehq.com
STREAMING ASSET

Get your streaming platform setup done right

Stream hardware and IoT data into analytics and operations without betting on heavy tooling too early.
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TRUSTED BY CLIMATE INNOVATORS
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Group 166
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Repowered
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THE BUSINESS PROBLEM

Streaming data should help you steer hardware, not create a new platform burden

The tooling costs more than the problem

Kafka, Flink and a managed platform are a heavy commitment for a handful of streams — and hard to walk away from once your data lives there.

Bad readings surface downstream

A meter drops out or sends nonsense, and you find out in a dashboard or a model output days later — not at the moment the data arrived.

Every integration is bespoke

A new site, a new sensor type, a new protocol. Each one becomes its own pipeline to build, monitor and keep alive with the team you already have.
THE SOLUTION

A portable streaming foundation, designed for real operations

Our dockerized, Python-based open-source framework integrates with best-practice managed services, brings OpenTelemetry into your existing logging setup, and packages proven implementation knowledge into a flexible foundation your team can own.

Ingest — meters, sensors and telemetry

Pull from meters, sensors and gateways without writing a bespoke connector for every source.

Any source, one contract
Adapters normalise what arrives, so a new site does not mean a new pipeline.
Backfill and replay
Late and out-of-order readings are handled, so history stays correct.

Process and validate the stream

Validation on the way in, routing on the way out — the streaming asset itself.

Caught before it spreads
Bad readings are stopped at the edge of the stream, not found later in a report.
Route once, consume many times
One stream feeds dashboards, models and operations without duplicating it.
Schemas change, systems don't fall over
Protobuf, Avro or JSON; schema changes are absorbed by the stream.

Serve — monitor, predict and steer

Analytics and operations read from the same stream, so what you monitor is what you steer on.

One source for dashboards and models
No separate extract for reporting that drifts from what operations sees.
Operational feedback
Predictions and setpoints flow back to the assets that produced the data.

Operate and secure

Native support for modern keyless authentication, with OpenTelemetry throughout.

Keyless by design
Cloud-native identity instead of long-lived credentials your team has to rotate.
Observable end to end
OpenTelemetry traces and metrics feed straight into the infra you already run.
WHY IT WORKS

The operational strengths built into every stream

Performant

Fast, reliable processing that keeps pace with live operations.

Observable

OpenTelemetry support connects every event to the logging services you already trust.

Secure

Modern keyless authentication gives access control without another secret to manage.

Robust

Proven design decisions help protect data quality, recovery, and integration paths.

From initial prototype to scalable production systems

100+ companies trusted us to build
their data & AI layer since 2018

Shypple
Turning manual document-heavy logistics workflows into scalable, automated AI operations for a fast-growing freight platform.
  • Mobility & Transport
  • LLM Systems
Next Sense
Co-designing a multi-agent AI system with sustainability experts to scale building performance analysis without compromising quality.
  • Buildings & Industry
  • LLM Systems
Beyond Weather
AI infrastructure to commercialize complex weather forecasting models from research to production environment.
  • Climate Intelligence
SnappCar
New ML Ops setup delivers 50% faster queries and significant cost reduction for peer-to-peer car-sharing platform.
  • Mobility & Transport
  • ML Systems
Groendus
Build an AI forecasting system for Groendus that outperforms the benchmark for energy consumption.
  • Energy & Electrification
  • Data Systems
CtrlChain
Built a scalable data, analytics, and ML platform with an FTL spot pricing model in under 12 months.
  • Mobility & Transport
  • ML Systems
Next Sense
Co-designing a multi-agent AI system with sustainability experts to scale building performance analysis without compromising quality.
  • Buildings & Industry
  • LLM Systems
Shypple
Turning manual document-heavy logistics workflows into scalable, automated AI operations for a fast-growing freight platform.
  • Mobility & Transport
  • LLM Systems
CtrlChain
Built a scalable data, analytics, and ML platform with an FTL spot pricing model in under 12 months.
  • Mobility & Transport
  • ML Systems
Sendcloud
Aligning sales, marketing, and customer success around a single ML-driven metric to unlock sustainable growth at scale.
  • Mobility & Transport
  • ML Systems
Beyond Weather
AI infrastructure to commercialize complex weather forecasting models from research to production environment.
  • Climate Intelligence
Crisp
Implement a new forecasting system for Crisp that improves prediction accuracy (WAPE) by >20%.
  • Other
  • ML Systems
FAQ

Frequently asked questions

You can use tools such as Confluent, Kafka, Flink or Databricks. They are often a substantial investment, however, and can be difficult to move away from. We recommend them when a streaming setup is genuinely complex — and we’re happy to advise when that is the right call.

Yes. The asset integrates with best-practice managed tooling and, through OpenTelemetry, fits with the logging services your team already uses.

You receive readable Python code that your team can own, adjust and extend. That gives you flexibility without locking your operations into a proprietary platform.

Ask us about your specific volume requirements. [PLACEHOLDER — exact throughput figure not yet confirmed internally]

Timelines depend on scope — let’s discuss yours on an intro call. [PLACEHOLDER — timeline not yet confirmed internally]