Seven services. One accountable team.
From private model deployment to round-the-clock operations, each service can run on its own or as part of a larger program.
Private & On-Prem LLM Deployment
Run open-weight models inside your own servers, VPC or air-gapped network.
Learn moreGPU Infrastructure Optimization
Cut inference and training cost by raising utilization across your GPU fleet.
Learn moreCloud-to-AI Migration
Move legacy workloads and data onto AI-ready infrastructure without downtime.
Learn moreMLOps Pipeline Setup
Automate training, evaluation, deployment and monitoring end to end.
Learn moreCustom Model Fine-Tuning
Train models on your own data so they speak your domain and follow your rules.
Learn moreAI Security & Compliance Audit
Find model risks, data leaks and compliance gaps before an auditor or attacker does.
Learn moreOngoing Managed AI Support
We monitor, patch and improve your AI infrastructure on a monthly retainer.
Learn moreInfrastructure Assessment
A fixed-scope, two-week review of your AI workloads, costs and risks. The best first step for most teams.
Book an assessmentEngagement models
Fixed-scope projects, phased programs and monthly managed retainers.
See pricingReady to run AI on your own terms?
Book a 30-minute consultation with an infrastructure engineer. You'll leave with a clear view of options, costs and next steps, whether or not you work with us.