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Utilidata
Karman is a dynamic power-orchestration platform that embeds a module in power equipment for rack-level visibility and control in AI data centers and at the grid edge.
Data-center and utility teams that need rack-level visibility and control of power already on site.
Teams whose next purchase is a cooling plant, a colo hall, or new megawatts of grid capacity.
Verdict
Hire Utilidata when the constraint is usable power you already have. Karman sits in the electrical equipment, including a custom NVIDIA module, and is aimed at AI data-center power and grid-edge control.
The first named commercial deployment is with NexGen Cloud in Montreal. The company has said that installation is targeting up to 50% additional usable capacity. Series C funding closed with a $40 million extension announced May 28, 2026, after $60.3 million in April 2025.
Score Breakdown
How Utilidata scores on the jobs buyers hire it for, and on the company and commercial side of the deal.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| AI data-center power control | Strong | Rack-level orchestration on power already on site. |
| Utility grid-edge visibility | Strong | The same embedded control layer, outside a single hall. |
| New campus power procurement | Mixed | The product does not add interconnect megawatts. |
| Liquid cooling hardware | Weak | A different purchase: cooling plant, not power control. |
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“We can look at grid services, we can look at disaggregation of the power, and what customer behavior and customer signatures we can track. That will not only provide us a solid platform for serving our clients, it also helps us harvest massive amounts of data we need to understand what exactly is happening on the grid edge.”
Methodology
This page is an independent evaluation of Utilidata for buyers comparing options in power, cooling & facility ops. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Utilidata did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for power, cooling & facility ops)
- Rack-level power visibility
- Control of capacity already on site
- Data-center and grid-edge fit
- Commercial deployment evidence
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Utilidata is graded here as power, cooling & facility ops. Criteria scores can move as more review volume and product checks are added.