Primary practice
01
AI & Intelligent Systems
Executive AI strategy through governed LLM agents — built for the risk review, not the pilot deck.
Governed LLM systems, live in regulated financial institutions.
AI-native consulting
Production AI the regulators sign off on.
One senior team, accountable fromfirst architecture reviewlive, governed systems
Founders
Our founders built the AI and cloud systems your enterprise runs on.
Before Mavverik, they led platform and model teams at Microsoft, OpenAI, and Google — shipping governed AI, multi-region cloud, and data systems inside Fortune 100 security review. That is the team architecting yours.
Microsoft
Platform & enterprise AI leadership
Azure-scale platform engineering and enterprise AI governance
OpenAI
LLM deployment & inference
Production LLM deployment, safety, and API-scale inference
Google
ML infrastructure & data platforms
ML infrastructure and data platforms at global traffic scale
One founding team — the engineers who architect your systems are the ones accountable for them.
Practice areas
What we build for enterprise teams
02
Data & Analytics
Pipelines and models your leadership uses weekly — not another quarterly report.
Dashboards, forecasting, and decision models in daily use.
03
Cloud & Platform Engineering
Migrate and operate multi-cloud platforms with security sign-off in the architecture, not at the end.
04
Workflow Automation
Replace manual handoffs across ERP, CRM, and the custom systems your teams already run.
05
Application Modernization
Rebuild legacy products on modern stacks — phased delivery, no big-bang cutover.
Contact
Talk to the team that ships — not the one that pitches.
Include your stack, timeline, and team size — we reply within one business day.
Architecture review, agent rollout, or platform modernization — tell us what you're building, and you'll hear back from the engineers who'd do the work.
- 30-minute intro call — no deck
- Senior engineers, not account managers
- Direct access to the founding team