Their models. Any infrastructure. Your rules.
Your data never leaves.
Decentral AI brings AI to your data instead of sending your data to AI. Deploy 50+ models on-premise, in your private cloud, hybrid, edge, or fully air-gapped. Compliance built in. Flat-rate pricing.
Runs on-premise or in your VPC. Models come to your data, not the other way around.
Built for engineering and compliance teams in regulated industries.
Try a request
Routed to fraud-sentinel-v2 · 127 anomalies flagged
Sub-5ms routing decision, entirely inside your boundary. Hover or tap a request to steer it.
The problem
Today's AI forces an impossible choice.
AI is built for the cloud era, not the sovereignty era. Regulated teams get three bad options.
Use cloud AI
Your regulated data leaves your network the moment you call a hosted model. That breaks HIPAA, gaming, and financial compliance.
Build it in-house
Hire 10 to 15 ML engineers, spend 5 to 10 million dollars over 18 to 24 months, and still ship only a handful of models.
Do nothing
Watch competitors compound an AI advantage while your team falls behind.
Or: bring AI to your data.
Decentral AI is the fourth door. Compliance, security, and cost solved in one move.
The hidden costs of cloud AI
Unpredictable costs
Token bills swing 40 to 60 percent month to month. Budgeting becomes guesswork.
No control
Providers update models without warning. Your tuned system breaks overnight.
Data exposure
Every query ships your proprietary data to someone else's servers, training their AI on your advantage.
Shadow AI
Employees paste sensitive data into personal AI accounts, creating security blind spots you cannot audit.
How it works
Bring AI to your data.
Instead of sending your data to AI, Decentral AI brings AI to your data. Think of it as the operating system for enterprise AI: Docker and Kubernetes, but for models.
Intelligent Router
Reads each request: the task, the department, what the user is allowed to see, and which of 50+ models answers best. Then it adds the right context and routes.
Sub-5ms routing decisions
Context Engine
Connects to your internal data without copying it, learns your terminology, and returns only what is relevant and authorized for each query.
Retrieval without data egress
Model Orchestra
Manages 50+ specialized models for language, code, math, and vision. Users never pick a model. The platform auto-selects the best one for the job.
Model hot-swap under 5s
Governance Center
Department-level access control, immutable audit trails, automatic policy enforcement, and per-team cost tracking, with pre-built HIPAA, SOX, and GDPR templates.
48h contract to production
- 1
Deploy in your infrastructure
On-premise, in your VPC, hybrid, edge, or fully air-gapped. Your choice, your environment.
- 2
Route every request
The router scores each query and sends it to the best model, with the right authorized context.
- 3
Run, with nothing leaving
Models run, results return, and every interaction is logged for audit. No data crosses your boundary.
- On-premisePrivate cloudHybridEdgeAir-gapped
Why Decentral AI
A clear alternative to centralized AI.
Decentral AI sits between two failures: centralized cloud (low control, high cost, external risk) and open-source DIY (high effort, hidden cost).
| Capability | Decentral AI | Centralized cloud AI | Open-source DIY |
|---|---|---|---|
| Full AI ownership | Yes | No | Partial |
| Runs on any infrastructure | Yes | No | Partial |
| Predictable cost | Flat rate | Variable fees | Hidden costs |
| Security and compliance | Built in | External risk | Build it yourself |
| 50+ models out of the box | Yes | Partial | No |
| Data sovereignty, zero egress | Yes | No | Partial |
Proof
Proof, not promises.
Real numbers from production, stated honestly. Outcomes are anonymized; specifications are measured.
A top-5 casino operator deployed Decentral AI for fraud detection across multiple properties. The platform analyzed transaction patterns inside their own network, with zero data leaving their environment, and produced evidence-backed reports with full compliance audit logs.
Stated honestly
Stated plainly: in live deployment the platform returns reliable results on common queries and roughly 60 to 70 percent confidence on complex nested queries. It confirms its interpretation with a human before it runs, and shows you the exact query it executed. No black box.
Pricing
Flat-rate. No per-token surprises.
You pay for the deployment, not the meter. Token billing swings 40 to 60 percent month to month. Ours does not move.
Decentral AI
- Flat, predictable rate
- No per-token metering
- Scales with deployment, not usage spikes
- Your number, sized to your environment
Usage-based cloud AI
- Pay per token
- Bills swing month to month
- Costs rise with adoption
- Hard to budget or forecast
Your number is sized to your environment. No public list price, no per-token meter.
FAQ
The questions your security team will ask.
Does our data ever leave our network?
No. Decentral AI deploys inside your own infrastructure, on-premise, in your VPC, or fully air-gapped. Models run where your data lives. Nothing is sent to a third-party API.
Which models can we run?
Any of 50+ supported models, plus your own. The platform is model-agnostic and auto-selects the best one per request. You are never locked into a single vendor.
Do you support fully air-gapped deployments?
Yes. Decentral AI runs in completely isolated environments with no outbound connectivity, for the highest-security and regulated workloads.
How do you handle compliance and audit?
Every interaction is logged immutably for audit. Access control is enforced per department, and the Governance Center ships pre-built HIPAA, SOX, and GDPR policy templates.
How long does it take to deploy?
Production deployments have gone live within 48 hours of contract. Onboarding into your environment is a guided, week-scale process, not a multi-month build.
Still have questions?
About
Why we built Decentral AI.
The data that would benefit most from AI is exactly the data you are not allowed to send to it. Decentral AI closes that gap by bringing the models to your data, never the other way around.
Our mission: let every regulated enterprise use modern AI without giving up control of its data, its compliance, or its costs.
Get started
See it run inside your own network.
Book a 30-minute demo. We will show the live platform, the human-in-the-loop confirm step, and the audit trail, on your compliance terms.
No data leaves your environment. We built it so we could not reach in even if we wanted to.
For investors
A capital-efficient bet on sovereign AI.
Sovereign and private AI is moving from option to mandate for regulated industries. Decentral AI is building the orchestration layer for it.
Detailed traction and financials are shared under NDA.