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Stop paying the cloud tax. Eliminate data leakage. Deploy Llama, Mistral, or Phi on hardware we provide — private to your building, under your subscription.
The average SMB professional wastes 15 hours per week on tasks that local AI handles automatically.
15 hrs/week wasted
= 780 hours/year = $58,500 in lost productivity
15 hrs/week recovered
= $58,500/year back on your bottom line
Source: TechFides analysis of SMB knowledge-worker assessments. Consistent with research from McKinsey Global Institute (2023), which estimates 9–12 hours per week of automatable knowledge work, and the Asana State of Teams 2024 report, which finds 23 hours per week lost to coordination overhead and routine tasks. Loaded labor rate of $75/hour reflects the average SMB knowledge worker.
Private AI deployments, tuned for the work that actually happens in law firms, medical practices, dealerships, and job sites.
100%
on-premise for privileged work
Document review, case research, and contract analysis — all on your firm's hardware
100%
PHI On-Premise
Clinical documentation, coding, and pre-auth — on-premise AI that keeps PHI in the building. BAA available through MSP partners.
100%
customer data stays on your lot
Deal desk, inventory, and service workflows — all processed on your dealership's hardware
24/7
works on the job site, internet or not
Estimating, scheduling, and project docs — runs offline when cell service drops
100%
client conversations stay on-site
Session notes, frameworks, and client IP stay on hardware in your office — never train someone else's model
Private AI. Monthly subscription. Hardware included.
Solo practice, one site
$1,299 / mo
$12,999 / yr (2 months free)
20 agent-hours / mo
Small team, one site
$2,299 / mo
$22,999 / yr (2 months free)
40 agent-hours / mo
Multi-site or regulated
$6,999 / mo
$69,999 / yr (2 months free)
160 agent-hours / mo
Cancel anytime with 30 days' notice. Hardware returns in a prepaid shipping box.
Eight questions. Two minutes. No signup. A clear picture of where private AI delivers for your team.