Your own product, on our foundation.
You want to build your own product on reliable identity and validation data, but standing up that infrastructure yourself takes years.
Stitching loose data sources together leaves you a chain you have to maintain yourself.
You want to build on data without handing it over.
Off-the-shelf products never quite fit your specific use case.
Build what you need
With AI Lab you build your own applications on Strike data, without building the infrastructure underneath yourself. You connect to the same validated data and verification as every other product, on one shared foundation. Your data stays in-place, inside your own environment. So you ship exactly what your customer needs, faster.
Build on a foundation that already exists.
A reliable base
Build on the same validated data as the rest of the platform, without wiring sources together yourself. A reliable foundation is there from day one, so you start building, not plumbing.
Identity built in
Hook into VerifyMe and Nexus as building blocks underneath your own application. Identity and validation come ready-made, so you add your own logic on top instead of rebuilding the basics.
Keep control
Build and run inside your own environment. Your data never leaves your house, so you keep full control and stay compliant while you ship your own products faster.
Built on the Strike data layer.
Global Sphere, Nexus and Snowflake underneath, connected through one API.
From concept to live in two weeks
Strike AI Lab built Lead Align end to end. A platform that reads LinkedIn behavior, matches it to use cases and triggers personalized outreach. Live in two weeks.
[Short quote from the lab lead or leadership on what the two-week turnaround proves.]
2 weeks
From concept to a live platform
End to end
Built entirely by Strike AI Lab
Behavior to outreach
LinkedIn signals to tailored messages in one flow
From use case to running, in four steps.
Intake
We discuss what you want to build and on which data.
Architecture
We decide which building blocks you use and how you connect.
Implementation
You build on the extension layer, in‑place.
Optimisation
We scale with you and sharpen the integration.
Frequently asked questions.
What exactly is AI Lab?
Does my data leave my environment?
Which building blocks do I connect to?
Who owns what I build and the data?
How do I get started?
What do you want to build on the platform?
Tell us your use case and we'll map the architecture in one call.
Plan an intro call