Arivonix

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Arivonix for Data Center Energy

Get power. Run power. Prove power.

Specialized AI for the developers and operators who live at the front of the interconnection queue. Arivonix turns the fragmented data behind getting power, running it, and proving it into decisions your team can defend, to an investment committee, a tenant, or an auditor.

Built for the teams where power, not chips, sets the schedule.
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30 minutes, on your own data and pipeline.
FRAGMENTED SOURCES Utility & ISO Meters & load On-site gen Carbon & CFE Specialized intelligence fine-tuned on your data Decisions you can defend Get power 22 mo to power Run power cost-optimized Prove power 94% hourly CFE Lineage attached
Built for regulated environments
SOC 2 Type IIannually audited
ISO 27001information security
Runs in your VPCcustomer-managed keys

The constraint

The grid moves in years. Your buildout moves in quarters.

The IEA expects data centers to drive nearly half of US electricity demand growth through 2030, and the grid cannot connect new load fast enough to carry it. The squeeze shows up at three points in every project.

2,300 GW

Stuck in US interconnection queues

More capacity than the entire installed US power fleet is waiting to connect, with average waits near five years.

Enverus · Lawrence Berkeley National Laboratory

25 to 33 %

Of new demand met behind the meter

With the grid stalled, that share of incremental data center demand through 2030 is expected to be self supplied, putting operators in the generation business for the first time.

McKinsey · Goldman Sachs

24/7

Hourly carbon matching is the new bar
Reporting is moving from annual certificates to hourly, location specific matching, a standard most operators are far from meeting.

GHG Protocol Scope 2 update · EU Energy Efficiency Directive

None of this is news if you run energy for a developer or operator. The problem is that the data behind every one of these decisions lives in utility PDFs, ISO portals, consultant studies, and spreadsheets that are stale the week they are finished. That gap is what Arivonix closes.

Use cases

One buyer. Three stages of the same problem.

Get power, run power, prove power. Each stage maps to one platform capability, and most teams start with getting power.

01 · Get power

Specialized Intelligence

Rank every site by time and cost to energized.

You are not short on sites. You are short on sites with power. Average waits now top 2,100 days, and only 10 to 20% of queued capacity ever gets built. The data that decides a site, queue positions, headroom, tariffs, permitting, changes without notice and is stale the week it is assembled by hand.
  • Rank by what matters.

Interconnection queues, grid capacity, substation headroom, tariffs, and permitting, scored against your own pipeline.

  • Predict timelines, with risks flagged.

Fine-tuned on interconnection processes and your deal history, so risks surface up front, not two study cycles later.

  • Manage filings in one place.
Every deadline and milestone tracked, with lineage on every recommendation.
The outcome. Shorter time to power, fewer failed applications, and a disciplined way to prioritize the fastest, cheapest sites.

02 · Run power

AI Workflows

Orchestrate on-site generation and microgrids.

The grid’s answer is wait, so you are becoming a power company whether you planned to or not. Nearly 40% of facilities are expected to run on-site generation by 2030. That means dispatching gas, fuel cells, solar, and storage, and choosing grid draw versus self-generation in real time, against AI load that ramps in seconds.
  • Orchestrate the full mix.

Agents monitor generation and load, dispatch assets, and flag maintenance across gas, fuel cells, solar, and storage.

  • Balance grid versus self-generation.

Weigh price and carbon in real time, and manage demand response under the Texas and PJM frameworks.

  • Keep engineers in command.
Every dispatch passes an approval gate your team controls, with a complete audit trail.

The outcome. Lower energy cost, higher uptime, safe islanding, and flexibility you can monetize, an operating model the team can run rather than improvise.

03 · Prove power

Data Fabric

Turn energy and carbon into a record you can defend.

Tenants, regulators, and investors now ask for the same proof, and the bar is moving from annual certificates to hourly, location-specific matching. Even Google reported just 64% hourly carbon-free energy in 2024. The data you need lives in systems that were never designed to agree with each other.
  • Unify the record.
Consumption, on-site output, hourly grid carbon, and procurement in one governed layer, without duplicating any of it.
  • Report to the new standard.
Auditable hourly carbon-free-energy and Scope 2 reporting, built for the GHG Protocol update and the EU EED.
  • Act on it, not just report it.
Shift flexible load to cleaner hours, with lineage that keeps the numbers defensible.

The outcome. Auditable 24/7 and Scope 2 reporting, and a credible sustainability story that helps win hyperscaler tenants.

The platform behind it

Generic AI was never trained on interconnection queues. This platform was built for them.

MIT Project NANDA found that 95% of enterprise generative AI deployments produce zero measurable return, and the recurring cause is fragmented data and missing workflow integration, not the model. Every Arivonix use case runs on the same four foundations.

Data Fabric

Data virtualized, not duplicated.

Arivonix connects to the systems you already run, utility and ISO feeds, meters, procurement records, your deal pipeline, and gives one governed, current view. Nothing moves, nothing is copied, nothing leaves your environment.
One governed viewZero data movement

Specialized Intelligence

Fine-tuned AI, not generic models.

Models fine-tuned on energy and interconnection processes and your own deal history. Every recommendation carries data lineage, so it holds up in front of investment committees and capital providers.

Your deal historyLineage on every answer

AI Workflows

Engineers in the loop, not out of it.

Agent orchestration with approval gates at the decision points and a complete audit trail. Automation where it is safe, human judgment where it matters, which is the only version an energy team can actually run.
Approval gatesComplete audit trail

Trust and governance

Governance your auditors can work with.

Arivonix runs inside your own VPC with customer-managed keys. Every dataset and every recommendation carries lineage and access controls.

Your VPCCustomer-managed keys

Who we work with

Built for the teams responsible for power.

Arivonix works with the developers and operators who have to get, run, and prove power at scale.

Wholesale and colocation operators

Multi-tenant capacity under tenant pressure for both speed and 24/7 carbon-free energy.

Hyperscale campus developers

Gigawatt scale campuses where the energization date drives everything downstream.

AI and GPU neoclouds

Compute roadmaps where power, not GPUs, sets the delivery schedule.
Teams with multi-hundred-MW to multi-GW pipelines, facing interconnection delays or moving behind the meter, under growing sustainability pressure from tenants and regulation. We work most closely with the energy leader responsible for the full journey, alongside the site-selection, engineering, and sustainability teams around them.

Why now

The constraint has moved from chips to electrons.

The teams that get their energy strategy in order now will spend the next few years building on a solid base. The ones that wait will keep competing for the same stranded megawatts with worse information.

$600B+

Forecast hyperscale data center market by 2030, up from roughly $200B in 2025. All of it depends on getting power, running it, and proving it.

Get started

Bring us the site you are trying to power.

Book 30 minutes with us. Bring a real problem: a site you are trying to energize, a generation mix you are trying to run, or a carbon report you are trying to defend. We will show you what specialized AI does with it on your own data. No canned demo.
Get a demo

30 minutes, on your own data and pipeline.

SOC 2 Type II  ·  ISO 27001  ·  Runs in your VPC  ·  Customer-managed keys

Introducing Agent Arivon. Your AI Data Engineer.

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