Four layers of intelligence — hardware, embedded telemetry, AI analytics, and enterprise orchestration — designed as one continuous data plane. From the rack to the cloud, with no glue code.
Every layer is engineered to feed the layer above it. High-fidelity data flows up; intent and policy flow down. The result is a closed loop that operates faster than any human team can.
The foundation. Hardware that doesn't just run AI workloads — it instruments them at the substrate level so the rest of the platform has ground truth to work with.
Software optimizations are bounded by the data they can see. We extend that horizon down to the substrate.
Real-time telemetry generated where the work happens — not sampled at the rack edge. High-fidelity, low-latency signal that makes prediction possible.
High-fidelity, low-latency signals are the prerequisite for predictive AI — and almost no fleet has them today.
Domain-aware ML models that turn raw telemetry into prediction, optimization, and action. This is where the moat lives.
More data → smarter models → better outcomes → more customers. The data network effect strengthens with scale.
The control plane your CIO, CTO, and SRE team see — clean, multi-tenant, API-first. Enterprise-grade from day one.
Enterprises buy outcomes, not boxes. Layer 4 is where intelligence becomes a business decision.
A modern AI rack generates millions of data points per second. The traditional ops model — humans reading dashboards — cannot keep up. Datafabrix closes the loop:
Most platforms wrap existing hardware in dashboards. We co-design the thermal envelope, the connector topology, the sensor placement, and the analytics together. Tighter signal. Higher fidelity. No glue code.
Our backplane deploys with the platform. Every shipment is an extension of the data plane — and an enabler of recurring software revenue. A wedge competitors building from pure-software cannot match.
22+ years across Broadcom, Google, and Boeing. 24+ tape-outs. Backed by Bay Area semiconductor veterans. We have shipped hardware into the world's most demanding infrastructure.
Hardware lands the account. Software compounds the value. Every additional fleet improves the underlying AI models — a data network effect that competitors cannot copy by writing more code.