Utilidata website screenshot

Utilidata

Utilidata is an Ann Arbor, Michigan software company building Karman, a distributed AI platform that runs on a custom NVIDIA system-on-module embedded directly into electrical infrastructure — smart meters and grid-edge devices on the utility side, PDUs and power trays inside AI data centers. Karman processes high-resolution AC metrology locally (single-cycle waveform statistics at 1+ MS/s sample rates) to produce "data products" such as Power Quality Analytics, enabling millisecond-level power control, GPU/PSU failure prediction, phase balancing and power-aware scheduling. Utilidata publishes the Karman Power Aware Module as Apache-2.0 open source: a Rust reference implementation that serializes Karman data products as Protocol Buffers (package utilidata.karman.bibimbap.v1), transports them over ZeroMQ, and exposes them to Prometheus and TimescaleDB through a Helm-packaged Kubernetes stack. The company has raised a $100M Series C and counts NVIDIA, Microsoft Climate Innovation Fund, American Electric Power and Renown Capital Partners among its backers.

Utilidata is profiled on the APIs.io network. Tagged areas include Company, Energy, Electric Grid, Utilities, and Data Centers.

Utilidata’s developer surface includes engineering blog, support, and 16 more developer resources.

12.5/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyEnergyElectric GridUtilitiesData CentersArtificial IntelligenceEdge ComputingTelemetryProtocol BuffersOpen-SourceGrid EdgePower Quality

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Regulatory Posture applies to this provider. Its tags matched the Energy & Utilities regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/utilidata: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Utilidata Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 2

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: utilidata
name: Utilidata
description: 'Utilidata is an Ann Arbor, Michigan software company building Karman, a distributed AI platform that runs on
  a custom NVIDIA system-on-module embedded directly into electrical infrastructure — smart meters and grid-edge devices on
  the utility side, PDUs and power trays inside AI data centers. Karman processes high-resolution AC metrology locally (single-cycle
  waveform statistics at 1+ MS/s sample rates) to produce "data products" such as Power Quality Analytics, enabling millisecond-level
  power control, GPU/PSU failure prediction, phase balancing and power-aware scheduling. Utilidata publishes the Karman Power
  Aware Module as Apache-2.0 open source: a Rust reference implementation that serializes Karman data products as Protocol
  Buffers (package utilidata.karman.bibimbap.v1), transports them over ZeroMQ, and exposes them to Prometheus and TimescaleDB
  through a Helm-packaged Kubernetes stack. The company has raised a $100M Series C and counts NVIDIA, Microsoft Climate Innovation
  Fund, American Electric Power and Renown Capital Partners among its backers.'
url: https://raw.githubusercontent.com/api-evangelist/utilidata/refs/heads/main/apis.yml
deliveryModel:
  model: unknown
  open_source: unknown
  commercial: true
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - pricing
  - repository-unlicensed
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-09-02'
  method: derived
image: https://utilidata.com/static/apple-touch-icon.png
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.23'
created: '2026-08-05'
modified: '2026-08-05'
tags:
- Company
- Energy
- Electric Grid
- Utilities
- Data Centers
- Artificial Intelligence
- Edge Computing
- Telemetry
- Protocol Buffers
- Open-Source
- Grid Edge
- Power Quality
tags_raw:
- Company
- Energy
- Electric Grid
- Utilities
- Data Centers
- Artificial Intelligence
- Edge Computing
- Telemetry
- Protocol Buffers
- Open Source
- Grid Edge
- Power Quality
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: IssueTracker
  url: https://github.com/utilidata/power-aware-module/issues
- type: Website
  url: https://utilidata.com/
- type: Product
  url: https://utilidata.com/meet-karman
- type: GitHubOrganization
  url: https://github.com/utilidata
- type: GitHubRepository
  url: https://github.com/utilidata/power-aware-module
- type: Blog
  url: https://utilidata.com/news
- type: Support
  url: https://utilidata.com/contact-us
- type: TermsOfService
  url: https://utilidata.com/terms-of-use
- type: PrivacyPolicy
  url: https://utilidata.com/privacy-policy
- type: Careers
  url: https://utilidata.com/careers
- type: Protobuf
  url: grpc/utilidata-protobuf.yml
- type: Packages
  url: packages/utilidata-packages.yml
- type: Conventions
  url: conventions/utilidata-conventions.yml
- type: DataModel
  url: data-model/utilidata-data-model.yml
- type: Conformance
  url: conformance/utilidata-conformance.yml
- type: Lifecycle
  url: lifecycle/utilidata-lifecycle.yml
- type: DomainSecurity
  url: security/utilidata-domain-security.yml
- type: LLMsTxt
  url: llms/utilidata-llms.txt
x-enrichment:
  date: '2026-08-05'
  status: enriched
  artifacts_added: 10
  pass: local-v1

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