Company / LyftData
An independent data layer for a stack that keeps changing.
LyftData builds an independent layer for collecting, transforming, routing, governing and observing enterprise data — before it reaches the platforms that consume it.
Own the data layer. Keep the freedom to change everything around it.
Why LyftData exists
The destination became too important to the architecture.
As the stack grew, the tools consuming data quietly accumulated ownership of everything upstream — collectors, transformations, routing, policy. Replacing a tool started to mean rebuilding all of it.
We think the data layer should be independent — owned by the team, not the tool.
What we're building
Infrastructure underneath the tools enterprises choose.
One layer to collect, transform, route, govern and observe data in motion — the same model whether the destination is a SIEM, a warehouse, an archive or an AI workload.
- Independent
- the data layer isn't owned by any destination platform.
- Deployable
- self-managed, running where the data lives — cloud, private, on-prem or edge.
- Governed
- handling and policy applied upstream, before downstream exposure.
- Operable
- explicit versions, plans and runtime state — production changes stay reviewable.
Principles
A few things we believe about infrastructure.
Control belongs upstream.
Policy and handling should be applied before data leaves the layer you control, not re-implemented at every destination.
Infrastructure should stay portable.
Changing a downstream tool shouldn't mean rebuilding collection, transformation and routing.
Production changes should be explicit.
Every change has a version and a plan; rollback is a decision, not an emergency.
AI should inherit controls, not bypass them.
Agents operate through the same governance as everyone else — not above it.
How we work
Prove the architecture before expanding it.
Adoption starts with one measurable workload — understand it, prove the model against it, then expand. No large upfront commitment to find out whether it fits.
Leadership
The people building LyftData.
Stephan
CEO
Product · Technology · Architecture
Stephan leads LyftData's product, technology and architecture, with a focus on building enterprise data infrastructure for demanding environments.
Jaco
Chief Commercial Officer
Commercial · Partnerships · Strategy
Jaco leads LyftData's commercial strategy, partnerships and go-to-market, working with customers and partners on how LyftData fits into enterprise architectures.
Direction
Data infrastructure is becoming agent-operated. Independence matters even more.
As more of the stack is driven by agents, an independent, governed control layer is what keeps that automation inside the boundaries the team sets. We don't need to own every layer to do that.
How partners build with LyftData →Build on a data layer you control.
Start with LyftData, book a walkthrough, or talk to us about partnering.