Sector Registry / ENTERPRISE
AI at Enterprise Scale.
Governed, multi-region AI infrastructure for organizations that cannot afford to get it wrong.
Compliance Standards
EU AI ActNIST AI RMFISO 42001GDPRSOC 2 Type IIISO 27001DORA
Enterprise AI Is a Platform Problem.
Point solutions create shadow AI — ungoverned, unmonitored, and inevitably expensive. The enterprises winning with AI are those that have invested in shared infrastructure: LLM gateways that enforce policy and optimize cost across every business unit, vector databases that serve multiple applications, observability platforms that detect hallucinations and model drift across the portfolio, and governance frameworks that let regulators and boards understand what the organization's AI systems are actually doing. We build that infrastructure — and the organizational programs required to sustain it.
Core Frameworks
Operational Capabilities.
Multi-Region AI Platform Architecture
Global AI infrastructure with data residency controls, jurisdiction-aware model routing, and sovereign cloud deployment for GDPR, APAC, and regional compliance requirements.
AI Governance & Risk Frameworks
NIST AI RMF and EU AI Act-aligned governance programs: model cards, risk registers, audit trails, and accountability structures for board-level AI reporting.
LLM Gateway & Cost Optimization
Enterprise LLM gateway with intelligent routing across OpenAI, Anthropic, Gemini, and open-source models — semantic caching, fallback logic, and 40–70% cost reduction at scale.
Enterprise Knowledge Infrastructure
Multi-tenant vector database architecture, enterprise RAG platforms, and knowledge graph integration serving business units across the organization from a single governed layer.
AI Observability at Scale
Tracing, latency profiling, hallucination detection, and regression testing infrastructure for portfolios of 10–100+ LLM-powered applications in production.
AI Security & Adversarial Defense
Enterprise-grade prompt injection defense, PII detection and redaction at the gateway layer, jailbreak hardening, and output moderation for public-facing AI systems.
40–70%
AI Cost Reduction
Through LLM gateway optimization and caching
100+
Applications Governed
Across enterprise AI portfolios under management
<50ms
Gateway Latency
P99 for routed LLM requests with full observability
0
Compliance Violations
Across all governed AI deployments
Performance Case Study
Fortune 500 Financial Conglomerate
A global financial group had 47 separate AI initiatives across 12 business units — each with its own vendor contracts, no shared observability, and zero centralized governance, creating regulatory exposure and $8M+ in redundant AI spend annually.
52% reduction
AI Infrastructure Spend
100% of AI systems
Governance Coverage
3 weeks → 3 days
Time to Deploy New AI App
Full audit trail
Regulatory Audit Readiness
The Solution Implementation
"We designed and implemented an enterprise AI platform: a unified LLM gateway with policy enforcement, a shared vector infrastructure layer, centralized observability, and an AI governance program aligned to the EU AI Act and internal model risk management policy."