The AI Operating System

89% of AI agent projects fail to reach production
$1.9M average enterprise GenAI investment in 2024
<30% CEO satisfaction with AI results

The technology works. What's missing is architectural discipline — a structured, layered system that connects models, agents, data, and governance into a single operational fabric. That's what AIOS provides.

A three-layer architecture that moves AI from isolated experiments to enterprise-grade operational capability.

AIOS three-layer architecture: Core (horizontal foundation), Industry (vertical capabilities), and Tailored (your competitive advantage)

Each layer builds on the one below it — creating a compounding architecture where every new capability reinforces the whole.

03

AIOS-UTailored

Your Competitive Advantage

The organization-specific layer. Proprietary data, institutional knowledge, governance rules, and custom workflows that make your AI uniquely yours. This is where competitive advantage lives — and where most enterprises never arrive without the right foundation.

Proprietary data models Institutional knowledge graphs Custom governance rules Organization-specific agents Tailored decision workflows
02

AIOS-Industry

Vertical Capability

The sector-specific layer. Domain agents, system integrations, compliance workflows, and industry data patterns that are reusable across clients in the same vertical. Built once per sector, deployed many times.

Domain-specific agents Industry integrations Compliance frameworks Sector data patterns Vertical workflows
01

AIOS Core

Horizontal Foundation

The shared foundation. LLM routing, agent scheduling, memory management, security, observability, and the common tooling that every AI deployment needs. Built once, shared across all layers and deployments.

LLM routing & orchestration Agent scheduling Memory & context management Security & guardrails Observability & monitoring Connectors & tool registry

Industry-ready assets to accelerate your journey

We maintain a growing library of pre-built, sector-specific assets within the AIOS-Industry layer. These aren't templates — they're production-tested building blocks that dramatically reduce time-to-value.

Insurance

Claims triage agents on Guidewire and Duck Creek, automated underwriting with policy administration systems, fraud detection across FNOL pipelines, and document extraction from ACORD forms and medical reports.

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Banking

KYC/AML compliance agents integrated with core banking (Temenos, Finastra), transaction monitoring workflows, credit risk scoring automation, and conversational advisors connected to wealth management platforms.

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Retail & E-commerce

Demand forecasting agents on Shopify and SAP, dynamic pricing optimization, AI-powered product recommendations via Salesforce Commerce, and customer service automation across omnichannel support (Zendesk, Intercom).

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Logistics

Route optimization agents integrated with TMS platforms (Oracle, Blue Yonder), warehouse automation workflows for WMS systems, shipment tracking and exception handling, and predictive ETAs from real-time fleet telemetry.

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Manufacturing

Predictive maintenance agents connected to SCADA and MES systems, quality inspection automation with machine vision, production scheduling optimization on SAP S/4HANA, and supply chain risk monitoring across ERP data.

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Technology

Code review and DevOps agents across GitHub and GitLab CI/CD, intelligent incident triage on PagerDuty and Datadog, automated security scanning pipelines, and product analytics agents feeding from Snowflake and BigQuery.

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