INTRODUCTION

Enterprise AI Built to Last.

We architect sovereign agentic AI systems — on your infrastructure, under your control.

An architecture and analyst firm for enterprise AI. We divorce your stack from vendor, model provider, and framework lock-in — and put your data and infrastructure back under your control.

SOVEREIGN AI·Reference Architecture for Agentic AI Runtime

AS SEEN ON

  • NYSE WiredWired · Sovereign AI
  • theCUBEEnterprise AI Analyst
THESIS

What we believe about enterprise AI.

DATA SOVEREIGNTY

Your data stays in your perimeter. Always.

Agents reason over your data inside your network, your cloud, your air-gapped enclave. No round-trip to a vendor; no shadow copies in someone else's logs.

INFRASTRUCTURE INDEPENDENCE

Your runtime, your call.

OpenShift, EKS, EC2, on-prem GPU — we don't dictate where it runs. Our reference architectures are designed to survive any of them.

LOCK-IN LIBERATION

Vendor, model, and framework risk — engineered out.

We architect your way out of the dependencies that compound: vendor APIs you can't replace, model providers that change terms, frameworks that churn. Open-source first, swap-friendly by design.

UNDER THE HOOD

“Context beats cleverness.”

Powered by knowledge graphs, multi-agent orchestration, and real-time operational state — all running on open source.

THE AGENTCY METHOD

One repeatable architecture methodology.

Architecture that compounds over time — reference patterns, governance models, and analyst-grade specifications that your engineering teams can implement against.

01

Sovereign by Design

Every architecture targets your infrastructure. Your runtime, your rules — no shared tenancy, no vendor cloud, no exfiltrated data.

02

Reference Architectures

Repeatable blueprints, refined into the Sovereign AI Software Stack. Your engineering teams implement; we govern the architecture.

03

Process Integration

Agents are architected to connect to your ITSM, SDLC, and approval workflows — designed to live inside the systems your teams already use, not around them.

04

Human Governance

Zero-trust, RBAC, and human-in-the-loop at every step. Auditable by default; deployable in regulated environments.

SAISS · SOVEREIGN AI SOFTWARE STACK

The reference architecture for sovereign agentic AI.

Seven layers. Every component substitutable. Every layer inspectable. Designed for enterprises that need to run on their own infrastructure — and the vendors that serve them.

L7

Governance & Policy

RBAC, audit logging, human-in-the-loop, policy engines, compliance attestation.

L6

Agent Orchestration

Multi-agent runtimes, planners, tool execution, state machines, eval harnesses.

L5

Models

Open-weight LLMs, fine-tuning pipelines, model gateways — vendor-substitutable by design.

L4

Knowledge & Memory

Vector indices, knowledge graphs, retrieval pipelines, long-term agent memory.

L3

Data & Integration

Real-time BI, ETL, change data capture, operational data fabric, ITSM connectors.

L2

Runtime

Containers, schedulers, service mesh, observability — the operational substrate.

L1

Sovereign Infrastructure

On-prem GPU, sovereign cloud, air-gapped enclaves — the physical perimeter your data never leaves.

Open source

SAISS is being authored as a living reference architecture. Specifications, layered diagrams, and architecture decision records will be published as the work matures.

MEDIA, ANALYST & DELIVERY PARTNERS
NYSE Wired

Featured commentary on enterprise sovereign AI and the architecture decisions facing public-market CIOs.

theCUBE

Recurring analyst presence on agentic AI architecture, infrastructure independence, and enterprise governance.

Deloitte

Joint delivery across agentic architecture, Day-2 ops, and enterprise change management — Deloitte teams implement; we architect.

Supabase

Supabase

Reference vendor in the SAISS data and integration layer.

Open source first

No proprietary runtime. No hidden dependency. Every layer of every architecture we design is inspectable, replaceable, and yours to operate.

GET IN TOUCH

If we’re the right fit, you’ll know in one meeting.

Scoping within two weeks. Written reference architecture and roadmap before any commitment.

THE PARTNERS

Amit Eyal Govrin

Amit Eyal Govrin

Co-founder·LinkedIn ↗

Former CEO of Kubiya (Gartner Cool Vendor; backed by founders of HashiCorp and Slack) — first agentic platform to land LLM-driven automation inside Fortune 500 production. Previously led AWS's global DevOps and DevSecOps partnerships. NYSE Floor Talk and theCUBE regular on enterprise agentic AI.

  • Ex-AWS DevOps Lead
  • NYSE · theCUBE
  • Two-time Founder
Shaked Askayo

Shaked Askayo

Co-founder·LinkedIn ↗

Architecting agentic AI in production since 2022 — pre-ChatGPT. Co-founder and former CTO of Kubiya (Gartner Cool Vendor; backed by founders of HashiCorp and Slack). A decade running SRE, platform engineering, and DevOps teams across startups and global enterprises before that. KubeCon, theCUBE, and NYSE/ICE speaker.

  • Building Agents Since 2022
  • KubeCon · theCUBE · NYSE
  • Full-Stack Systems Architect

FOUNDED 2025 · SUNNYVALE, CA · OPERATING GLOBALLY

Reach us directly.

Both co-founders read every inbound. Expect a reply within one business day.

INFO@AGENTCYLABS.COM

+1 (877) 7-AGENTCY

SUNNYVALE, CA · OPERATING GLOBALLY