The Datafabrix Operating System
for AI Infrastructure.
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.
From substrate to SaaS.
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.
Intelligent Hardware
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.
- PCIe Gen6 Thermal-Aware Smart Backplane — the Layer-1 hardware foundation (sampling 2026)
- Smart rack controllers and sensor platforms (on roadmap)
- PCIe instrumentation at the lane and signal level (on roadmap)
- FPGA accelerators for low-latency edge intelligence (on roadmap)
Software optimizations are bounded by the data they can see. We extend that horizon down to the substrate.
Embedded Intelligence
Real-time telemetry generated where the work happens — not sampled at the rack edge. High-fidelity, low-latency signal that makes prediction possible.
- Thermal, power, PCIe, GPU, SSD telemetry — unified schema
- 1,000 readings per second at the device, not the rack
- Local edge intelligence in BMCs and rack controllers
- Standards aligned — Redfish, OpenBMC, OpenTelemetry
High-fidelity, low-latency signals are the prerequisite for predictive AI — and almost no fleet has them today.
AI Infrastructure Intelligence
Domain-aware ML models that turn raw telemetry into prediction, optimization, and action. This is where the moat lives.
- Predictive maintenance and failure prediction across the stack
- Energy and performance optimization, continuously
- Root cause analysis across hardware and software boundaries
- Network effects — every fleet that joins improves the models
More data → smarter models → better outcomes → more customers. The data network effect strengthens with scale.
Enterprise Platform
The control plane your CIO, CTO, and SRE team see — clean, multi-tenant, API-first. Enterprise-grade from day one.
- Fleet management across cloud, on-prem, and edge
- Digital twin and what-if simulation
- Cloud dashboard, REST and GraphQL APIs
- SOC 2-ready, RBAC, policy-as-code, full audit trail
Enterprises buy outcomes, not boxes. Layer 4 is where intelligence becomes a business decision.
Sense. Predict. Act.
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:
- Sense — per-device telemetry at 1,000 Hz
- Predict — ML models forecast failure, throttle, and degradation 30 s ahead
- Act — autonomous workload migration, cooling adjustment, and alerting
- Learn — every action improves the next prediction
A platform with a hardware-validated moat.
Co-designed, not bolted on
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.
Hardware-enabled SaaS
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.
Built by silicon veterans
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-enabled SaaS.
Recurring revenue, powered by deployed 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.