Products
Proprietary AI products.
Led by MAAX Studio — governed autonomy, built into the runtime.
ExploreThe execution layer for operational AI.
AI products and execution systems — governed agents, automated workflows, and operational infrastructure engineered for accountability and cost control.
The Problem
AI adoption has outpaced AI control.
Organizations have deployed AI across every function. Few have deployed systems — with ownership, review gates, and measurable cost.
Unowned output.
Work is created without a reliable record of who approved it, what informed it, or who is responsible when it fails.
Unmeasured cost.
Usage grows without a clear relationship between spend, workflow, and business value.
Unmanaged autonomy.
Capability is introduced without permission boundaries, approval gates, fallback, or revocation.
Disconnected operations.
Websites, forms, inboxes, spreadsheets, CRMs, and AI tools operate without a unified execution model.
Cyryx Labs closes this gap.
Solutions
Systems under contract. Not hours under retainer.
Fixed deliverables, acceptance criteria, and full IP transfer — every engagement under a Master Service Agreement.
01
AI Product Development
From concept to deployable AI product foundation.
Explore 02Workflow Automation
High-cost processes replaced by governed workflows.
Explore 03Internal AI Agents & Copilots
Agents operating inside your data and permission model.
Explore 04AI Websites & Lead Systems
AI-native intake, qualification, and routing.
Explore 05AI Integrations & Infrastructure
AI connected to your systems without expanding risk.
Explore 06AI Governance & Cost Control
Authority over what your AI does and what it costs.
ExploreEngagement Model
Fixed scope. Verifiable delivery. Full transfer.
- 01
Diagnose
Workflow, systems, data, risk, ownership, economic case — before any proposal.
- 02
Scope
Deliverables, exclusions, acceptance criteria, timeline, price — fixed in writing.
- 03
Build
Production discipline, controlled access, documented decisions, observability, fallback.
- 04
Verify
Material claims and system behavior tested against written acceptance criteria.
- 05
Transfer
Documentation, training, account ownership, access records, operational control.
- 06
Operate
When selected, managed coverage under defined systems, response windows, and exclusions.
Security & Governance
Governance is architecture.
Server-side boundaries. Secrets, credentials, permissions, and billing logic are never client-exposed.
Least privilege. Agents receive the minimum scope required. Expanded deliberately, never by default.
Human authority. Consequential actions require explicit approval. Autonomy is granted, bounded, revocable.
Auditability. Material actions produce records: what ran, under whose authority, at what cost.
Conservative claims. We state what is production-ready, what is experimental, and what is unknown.
FLAGSHIP PRODUCT · IN DEVELOPMENT
The agentic execution OS for AI-native builders.
A local-first agentic execution environment: autonomous agents under explicit human command, with governance built into the MAAX Runtime — not layered on top.
- Mission-based execution. Work runs as governed missions with explicit completion criteria.
- Project memory. Context that compounds across a project's life — not reset every session.
- Command Gates. Quality, security, and cost gates before changes land. Default-fail.
- Mission Ledger. An auditable record of agent activity: actions, authority, cost.
- Human authority. Autonomy is granted, bounded, and revocable — never assumed.
MAAX Studio is in active development. Early access opens to a limited cohort.
Who We Work With
Organizations that treat AI as infrastructure.
Founders
AI-native products that withstand real users and real scrutiny.
Agencies
Manual delivery converted into governed automation.
Businesses
AI in operations without invisible risk or unattributable cost.
Product Teams
Agents, integrations, and infrastructure at production standard.
Why Cyryx Labs
A lab, not an agency.
Product discipline.
Client systems inherit the architecture of our own products.
Governance as baseline.
Approval structures, audit records, and cost control in every delivery. Not a tier.
Verifiable claims.
Everything we state about a delivered system is testable against its acceptance criteria.
Engineered for handover.
Dependency is not our business model.
Applied Research
Our claims are published, mapped, and citable.
The governance model behind every Cyryx system is not a slide — it is a published protocol with a DOI, mapped control-by-control to the EU AI Act, NIST AI RMF, and ISO/IEC 42001, and implemented in MAAX Studio.
GovernanceCC BY 4.0
CGP: Cyryx Governance Protocol for Agentic AI Execution
Version 1.0 — Technical Report CGP-2026-001 · June 2026
Seven control domains and twenty-eight normative controls — designed as an extension to existing frameworks, not a replacement. Every control has a reference implementation in MAAX Studio by Cyryx Labs.
- EU AI Act
- NIST AI RMF
- ISO/IEC 42001
Start with the problem
From fragmented operations to governed execution.
Describe the workflow, product, digital foundation, or operational problem. Cyryx will determine whether it requires a website, automation, AI system, product engagement, or no system at all.
Outcomes over output. Verification over generation.
Contact
Tell us what you're building.
We'll tell you whether we can help, and how. We typically reply within 24h.