01
Regulated industries
Health, finance, government — AI behind your existing compliance perimeter.
[ 06 / Services ]
Enterprise AI Integration
Deploy AI inside your existing stack — secure, observable, and aligned with your data governance.
06
[ Capabilities ]
01
Private Deployments
02
Vector Infrastructure
03
Compliance Layer
[ Overview ]
Enterprise AI Integration
Your stack already works. We add AI inside it without breaking what's there — secure, observable, and aligned with your data governance, identity provider and change-management process.
We deploy into your VPC, behind your SSO, with PII handling that survives a security review. Vector infrastructure, retrieval pipelines and model gateways are wired to the systems your team already operates: your IdP, your SIEM, your secrets manager, your existing logging and alerting.
AI becomes a first-class citizen of your platform — not a bolted-on subdomain owned by nobody.
[ What you get ]
- Private deployment inside your cloud or on-prem
- SSO, RBAC and audit logging wired to existing IdP
- Vector infrastructure with backup and DR plan
- Compliance package: SOC2, HIPAA, GDPR mappings
- Runbook + on-call playbook for your platform team
[ Where it shines ]
Where it shines
02
Multi-region enterprise
Data residency, regional model routing and per-tenant isolation.
03
Legacy stack uplift
Add AI capabilities to a 10-year-old monolith without a rewrite.
04
Vendor consolidation
Replace a dozen point tools with one governed AI platform.
[ Tools & stack ]
AWS · GCP · Azure · on-premOkta · Auth0 · Entra IDPostgres · pgvector · Qdrant · WeaviateKong · Envoy · model gatewaysOpenTelemetry · Datadog · Splunk
[ Frequently asked ]
Frequently asked
01Does data ever leave our environment?
Only if you choose to call a hosted model. Default deployments keep prompts, embeddings and logs inside your perimeter.
02How do you handle PII?
Redaction at the gateway, per-tenant encryption keys, full audit log. Mapped to your DPIA and SOC2 controls.
03Can we keep using OpenAI / Anthropic?
Yes — we route through your gateway with redaction, rate limits and per-team budgets.
[ 01 ]
What we deliver
UltraMVP combines deep model expertise with battle-tested production engineering. Every engagement ships measurable outcomes — not just prototypes — built on a stack that includes Claude Code, OpenAI Codex, and custom Gemma 4 fine-tuned adapters.
- Private Deployments
- Vector Infrastructure
- Compliance Layer
[ 02 ]
How we work
- Step 0101
Discovery and technical audit (1 week)
- Step 0202
Architecture and model selection
- Step 0303
Build, evaluate and harden for production
- Step 0404
Deploy with observability and on-going optimization
Ready for the edge?
Deploy AI inside your existing stack — secure, observable, and aligned with your data governance.
Book a discovery call→[ MORE SERVICES ]
Services →01
Custom AI Development
End-to-end AI products: agents, copilots, RAG systems, and autonomous workflows built for production.
02
Custom Model Training
Fine-tuning Gemma 4, Llama 3 and proprietary architectures on your data for niche domain mastery.
03
Claude Code & Codex Integration
Leverage the latest Anthropic and OpenAI coding agents to automate complex software lifecycles.