CheiAI · AI Platform

AI that understands your world.

CheiAI turns unstructured data into actionable, explainable insight — combining semantic search and knowledge bases, computer vision, and custom models in one platform built for healthcare and the enterprise.

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Faster AI-readiness via structured datasets

Higher operational efficiency from faster retrieval

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Faster generation of actionable insights

Trusted by leading enterprises and healthcare teams

The Challenge

AI adoption stalls on data, trust, and time.

Most organizations have the ambition but hit the same barriers — fragmented data, slow insight, unclear ROI, and models nobody can explain. CheiAI is built to break through them.

Fragmented data ecosystem

Disconnected silos and inconsistent formats block seamless integration.

Slow, manual insight

Decisions stall because data processing and insight generation are slow.

Lack of explainability

Stakeholders can't trust AI reports without clear, understandable logic.

Lower ROI from AI

Existing implementations miss expected returns from misaligned strategy.

Delayed time-to-market

Prolonged development cycles hurt competitiveness in fast markets.

High operational & IT cost

Traditional infrastructure inflates cost and reduces efficiency.

Low data & AI literacy

Limited understanding of AI limits adoption across departments.

No clear adoption strategy

Organizations lack a structured path to AI literacy and budgeting.

Enterprise Architecture

From raw data to unified, explainable intelligence.

CheiAI is a model-flexible enterprise platform that ingests unstructured data and delivers explainable intelligence via RAG, custom vision, and domain-specific agents.

Microsoft Compatible

Built to run inside your Microsoft stack.

CheiAI is model- and platform-flexible by design. Whether your team standardizes on Microsoft 365 Copilot, builds on Azure AI Foundry, grounds answers with RAG, or orchestrates retrieval through LlamaIndex, CheiAI plugs in as the domain-intelligence layer — so you keep the Microsoft tools your teams already trust and add search, vision, and agents that understand your data.

How CheiAI fits the Microsoft architecture

Front door

Copilot Studio

Teams, SharePoint & M365 Copilot — where your people already work.

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Intelligence layer

CheiAI

Semantic search, knowledge bases, vision & agentic assist — tuned to your domain.

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Engine room

Azure AI Foundry

Model catalog, RAG pipelines, Azure AI Search & production observability.

Copilot

Microsoft 365 Copilot & Copilot Studio

Copilot Studio is Microsoft's low-code agent layer inside Teams, SharePoint, and the Copilot experience your staff use every day.

How CheiAI plugs in

CheiAI's knowledge bases and agents register in Copilot Studio as a knowledge source and as connected agents. Publish a CheiAI assistant straight to Teams or M365 Copilot, and clinicians or staff query your data without leaving their workflow. Copilot is the front door; CheiAI supplies the domain intelligence behind it.

Azure AI Foundry

Azure AI Foundry (Microsoft Foundry)

Foundry is Microsoft's pro-code platform for the full model lifecycle — model catalog, fine-tuning, RAG pipelines, deployment, and production monitoring.

How CheiAI plugs in

CheiAI runs its custom models and retrieval pipelines on Foundry: deploy from the model catalog, ground agents with Foundry IQ, and use built-in tracing and evaluators for groundedness, relevance, and safety. Foundry is the engine; CheiAI is the domain layer on top — and agents publish directly into Teams and M365 Copilot.

RAG

Retrieval-Augmented Generation

On Azure, RAG means Azure AI Search for hybrid vector-and-keyword retrieval, paired with your Azure OpenAI embedding and chat models.

How CheiAI plugs in

CheiAI's semantic search and knowledge-base layer indexes your unstructured content into Azure AI Search — chunking, embeddings, hybrid retrieval, and reranking — so every answer is grounded, cited, and explainable. It runs against your existing Azure OpenAI deployment, with no data leaving your tenant.

LlamaIndex

LlamaIndex orchestration

LlamaIndex is an open data framework for LLM apps — handling ingestion, indexing, and retrieval orchestration across your sources.

How CheiAI plugs in

Where your team has standardized on LlamaIndex, CheiAI slots in as the retrieval and orchestration layer, connecting LlamaIndex pipelines to Azure OpenAI models and Azure AI Search indexes. Keep the framework you know; add CheiAI's domain tuning, vision, and explainability on top.

Three steps to plug in.

Connect

Authenticate through Microsoft Entra ID and point CheiAI at your sources — SharePoint, Azure Blob, databases, and 1,000+ Microsoft connectors. Permissions and security trimming carry through.

Ground

Ground your models in Azure AI Search or Foundry IQ, build the knowledge base, and wire retrieval to your Azure OpenAI models — with citations on every answer.

Deploy

Publish the CheiAI agent to Copilot Studio, Teams, and M365 Copilot, or embed it in your own app via API — with tracing and evaluation running in production from day one.

Already invested in Microsoft? CheiAI adds the intelligence layer without asking you to leave it.

Scope a Microsoft-stack pilot

Built On

Best-in-class models, your way.

CheiAI is model-flexible — orchestrating leading foundation models alongside custom models, connected through an integration gateway and connector hub.

OpenAILLMsIBM WatsonCustom ModelsSemantic SearchComputer VisionIntegration GatewayConnector Hub

Proven Outcomes

Real impact, across industries.

Representative deployments of CheiAI. Client identities are confidential.

HealthTech · Knowledge Platform

Semantic search & knowledge base for unstructured medical data

Automated medical term identification, annotation, and relationship mapping to accelerate research and clinical workflows.

70%Faster AI-readiness

40%Higher efficiency

25%Better decisions

Healthcare · Clinical Copilot

An advanced healthcare Copilot for clinical teams

Query complex relationships across genes, diseases, treatments, and outcomes — with customized, context-specific results.

50%Less time spent

3×Faster insights

30%Lower op. cost

Construction · Vision AI

AI-powered safety compliance monitoring

Computer vision automatically detects safety-gear compliance and raises real-time alerts across multiple worksites.

60%Faster response

3×Safety compliance

$500KAnnual savings

AI that understands your world.

AI adoption stalls on data, trust, and time.

Fragmented data ecosystem

Slow, manual insight

Lack of explainability

Lower ROI from AI

Delayed time-to-market

High operational & IT cost

Low data & AI literacy

No clear adoption strategy

From raw data to unified, explainable intelligence.

Built to run inside your Microsoft stack.

Microsoft 365 Copilot & Copilot Studio

Azure AI Foundry (Microsoft Foundry)

Retrieval-Augmented Generation

LlamaIndex orchestration

Three steps to plug in.

Connect

Ground

Deploy

Best-in-class models, your way.

Real impact, across industries.

Semantic search & knowledge base for unstructured medical data

An advanced healthcare Copilot for clinical teams

AI-powered safety compliance monitoring

Start with a thirty-minute conversation.

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