Hybrid AI
Keep sensitive data on hardware you own. Scale general workloads through private cloud. One AI system, two infrastructure layers, controlled entirely by you.
Starting at $35,000 for gateway hardware + deployment. Operational in 60 days.
How It Works
Sensitive data stays on hardware you own. General workloads scale through private cloud. A secure gateway routes every request to the right layer automatically.
The Infrastructure
Enterprise-grade hardware on-premise for sensitive work. Private cloud compute for everything else. Seamlessly connected.
Request classification · Data routing · Encryption
The intelligent front door to your AI system. Classifies every request and routes it to the right infrastructure layer automatically and instantly.
48GB GDDR6X · Ada Lovelace architecture
On-premise GPU power for processing sensitive data. Handles client-specific AI workloads without any data leaving your building.
Dedicated instances · Auto-scaling · Encrypted transit
Not shared infrastructure. Your own cloud instances that scale up during proposal season and scale down when you don't need them.
109B active params · 16 experts
State-of-the-art open-weight model running on both layers. Same model, same quality, whether processed on-premise or in cloud.
Stateful workflows · Human-in-the-loop
Multi-step AI agent workflows that span both infrastructure layers. Approval gates and audit trails regardless of where processing happens.
End-to-end encryption · Zero-trust architecture
Every byte moving between on-premise and cloud is encrypted in transit and at rest. The gateway ensures sensitive data never crosses the boundary.
Is This For You?
Hybrid AI is the right choice when some of your data is too sensitive for the cloud but your workload demands more flexibility than on-premise alone.
You handle sensitive client data that can't leave your facility but not everything is sensitive
Your workload spikes during proposal season and you need compute capacity that scales with demand
You want the cost efficiency of cloud for general work and the security of on-premise for what matters
You're concerned about vendor lock-in and want infrastructure you can control and migrate
Your team needs AI that works even when internet goes down for the critical stuff
You want to start with cloud-heavy and migrate more on-premise over time as you grow
The gateway classifies every request automatically. Sensitive client data stays on your hardware. General research and drafting flows to private cloud. Your team doesn't have to think about it.
Proposal season? Scale cloud compute up. Slow month? Scale it down. Your on-premise core handles the sensitive work 24/7 while cloud handles the peaks without hardware overkill.
Start cloud-heavy, move more on-premise over time. Or start on-premise-heavy and add cloud for scale. The hybrid architecture adapts to your business as it grows.
Implementation Blueprint
Your engineers work on confidential client projects and general research simultaneously. Right now, there's no system that lets them use AI for both, securely separating what's sensitive from what isn't.
Proposal season means 3x the workload. You need compute capacity that scales with your project pipeline, not a fixed hardware investment sized for your busiest month.
Every cloud AI tool your team adopts becomes a dependency. Pricing changes, terms change, data access changes. You want AI infrastructure you control without giving up cloud flexibility.
Sensitive client data processed exclusively on your on-premise hardware. Contracts, designs, and confidential reports never leave your building.
Scales cloud compute during proposal season. Generates technical proposals, scope documents, and cost estimates at 3x your normal capacity.
Generates environmental assessments, engineering reports, and compliance documentation. AI drafts, your engineers review and approve.
Manages permits, regulatory submissions, and certification tracking. Routes each document to the right infrastructure layer based on sensitivity.
Real-time dashboards tracking project progress, resource utilization, and budget status. Aggregated insights without exposing individual client data.
Projected Impact
94%
Report time reduction
3x
Capacity during proposal season
45%
Lower infrastructure cost vs full on-prem
100%
Client data stays controlled
340 hrs
Recovered monthly from admin tasks
$520K
Annual savings and added capacity
Investment
Gateway Hardware $42K - $55K
Cloud Compute $4,200 / mo
Deployment $65K
Managed Operations $6,500 / mo
Year 1 Total ~$233K
Payback
Breakeven ~8 months
Annual Cloud Cost $50K - $65K
Year 1 Savings $520K+
3-Year TCO $485K - $540K
Book a 15-minute call to discuss your situation. If hybrid makes sense, we'll scope an assessment. If it doesn't, you'll walk away with clarity either way.
Book Your AI Assessment →Sensitive data never leaves your building
Real specs and ROI before any commitment
Serving companies across US and Canada
Built by founders who run their own businesses on this system