Somebody has to see your data to run AI on it. We make sure it’s nobody. FireEdge AI builds private AI factories, delivering distributed intelligence inside your own walls, with the outcome guaranteed.
Loop time for one 30-step task · select a point, or use the arrow keys
NeoEdge, in-boundary: FireEdge AI, with others. Round trip about 1 ms, so a 30-step loop at 20 ms a step finishes in 630 ms.
30 × (20 ms + round trip)
01How it works
A private AI factory is the hardware, the software and the people that take your records in and send accurate responses out, inside a boundary you control. You set the policy. We pick the model, the runtime and the silicon.
Your building is already energized. Stranded power, space and fiber, found by our discovery platform and confirmed before we commit. Nothing new to build.
02Why private
Verify the environment before you send the data.
Your data is encrypted at rest and in flight. Inference is the one workload where the operator has to see your query, your context and your reply in the clear, because that is what processing them means.
| State | Encrypted | Visible to | What it means |
|---|---|---|---|
| At rest | yes | nobody | Your provider has no path to your data. |
| In flight | yes | nobody | Nobody reads it in transit. |
| In use | no | the operator | The operator sees your query, your retrieval context and your reply. |
The data plane has no route out. Custody work queues, degrades or is refused, and is never moved off site.
A pinned kernel and driver, re-attested after any physical intervention. You verify it before you send any data.
Every model package is signed and verified against its fingerprints before it serves.
A hash-chained log you check from outside with your own witness. We have no read path into your records.
03Accuracy
Bounding, model evaluation, grounding, structural validation, escalation: every one of those steps needs your data. Measured on 3k+ records (synthetic records, lab benchmark), the accuracy floor on three workflows: warranty claims 0.40 to 0.81, maintenance work orders 0.48 to 0.73, batch records 0.11 to 0.95.
Pick work with a checkable, accurate response.
scopeEvery candidate, open or closed, scored on your records. Post-trained when that wins.
evaluateRetrieval over a local corpus that never leaves the boundary.
retrieveSchema, cross-reference against records, arithmetic and totals.
QC line · passQC line · failedTo a larger model or a person, inside the boundary.
standbyescalated · in boundaryHover or focus a step to see why it needs your data.
04NeoEdge
NeoEdge is the in-boundary edge, 50 ft to 5 mi from demand: your building, your campus, your facility, or a NeoEdge site under 5 MW. A private AI factory there is the entire request-handling tier, on one runtime at every site, inside your custody boundary. The shorter loop pays once custody has pinned the model inside the boundary.
FireEdge AI is building NeoEdge as an open category.
loop = steps × (compute + round trip)
Orchestrator inside the boundarycompute + ~1 ms round trip, per step
630 ms
Orchestrator 30 ms awaycompute + 30 ms round trip, per step
1,500 ms
The remote lane takes 2.38× as long, across 30 steps.
05Company
The team has built AI infrastructure at hyperscale and at startups, and delivered the models, agents and apps. FireEdge AI now builds and operates private AI factories: the power, the space, the AI Rack, the model and the people, inside the customer’s own boundary, with the outcome guaranteed.
1,600+ buildings
Our discovery platform has scored each one for power, cooling, fiber and fit.
2 provisional patents
The method behind the map, held by FireEdge AI.
~100 days
A building with power already delivered hosts a private AI factory with no construction project.
06Start here
Bring a site, a workload, capital or a partnership. The right team replies within one business day.
What this looks like for you
Start in a sandbox on your own cloud, at no fee. Prove the workflow on your records in a pilot of 90 days at most. Go to production on one AI Rack, 40 kW, air-cooled, inside your boundary, operated end to end, for one fixed annual fee, on a twelve-month minimum, returning twice the fee in value you audit yourself. Nothing billed by the hour or by the token.
If your workload doesn’t need proximity or residency, you shouldn’t pay for either, and we’ll tell you before you sign anything.
What this looks like for you
The power you already have becomes contracted, paid-first income. Our discovery platform has scored 1,600+ energized buildings for power, cooling, fiber and fit. A building with power already delivered hosts a private AI factory in about 100 days, with no construction project.
Fire was the first utility we brought indoors. Water followed. Then power, then bandwidth. Intelligence is the fifth, and the only one we still pipe in from more than a hundred miles away.
What this looks like for you
You keep the relationship and sell the outcome. We bring the factory. Channel integrators, software platforms, OEMs and data center operators sell what FireEdge AI operates. We supply the AI Rack, operate it around the clock, hold the custody boundary and the accuracy liability, and pay a referral of 10–15% of the fee.
Nothing in your book changes shape: the same factory serves your enterprise customers, your industrial customers and your own platform.
What this looks like for you
FireEdge AI builds and operates private AI factories, on one fixed fee per AI Rack guaranteed to return at least 2x. Our discovery platform has scored 1,600+ energized buildings, and the company holds two provisional patents on finding them.
Investor conversations start by email, at invest@fireedge.ai.
Email invest@fireedge.ai