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Operational intelligence infrastructure

Ground truth,ready for AI.

Platforms Inc. collects hard-to-get physical-world signals, keeps identity outside the default path, and turns them into governed intelligence for business and AI workflows.

Source-traceableIdentity governedAI-ready

Global cloud data plane

Devices anywhere · canonical data everywhere

Topic contract · QoS 1 · event stream

Reach

Global device ingress

Persistence

Raw events retained

Processing

Validate · enrich · govern

Delivery

Business · API · AI

The physical-data bottleneck

AI moves in real time.Ground truth still moves by hand.

Compute is abundant. The hard part is collecting reliable signals from the physical world and preserving what makes them trustworthy.

01

Collection is fragmented

Devices, trackers, gateways, and operational systems publish different payloads through different transports.

02

Identity arrives too early

App- and login-heavy patterns attach people and accounts before the signal itself has been validated.

03

Meaning is reconstructed manually

Teams reconcile exports, timestamps, identifiers, and exceptions before the data can support action.

04

AI receives the wrong layer

Models are asked to interpret source noise instead of governed observations with provenance and boundaries.

Raw signal to governed intelligence

The layer beforethe model.

Watch two real device feeds move from machine-native input through processing and governance into canonical objects for people, systems, and AI agents.

23,875 lead-II samples

F-0-01,125,II,405,32,45,54,57,63…

A 191-second waveform is useful to a machine, but not yet usable by a business workflow.

Provenance retained · identity governed

Product proof

One infrastructure thesis.Two operating environments.

Devices leads in connected health. Dispatch proves the same collection and governance foundation in condition-aware logistics.

Enterprise evaluation

Start bounded.Decide with evidence.

One hard collection problem. One governed output path. Clear technical, operational, and risk ownership.

30 days

Prove collection fit

Review real sources, payloads, identity boundaries, mappings, and acceptance criteria.

60 days

Operate a bounded proof

Show real signals, freshness, provenance, exceptions, and governed output shape.

90 days

Make the decision

Stop, narrow, continue, productize, or expand based on evidence—not momentum.

Ready to test one difficult physical-data problem against a governed enterprise path?

Request technical walkthrough