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The Missing Foundation Behind Every Successful Enterprise AI Strategy

Unify your enterprise content into a single, governed foundation that AI can actually reason over.

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Key Benefits for Enterprise IT

  • Reduces time to deployment for new AI initiatives from months to weeks by building on a shared knowledge foundation
  • Cuts the engineering cost of each new AI use case by eliminating redundant pipelines and custom RAG builds
  • Lowers AI project risk with built-in quality scoring that measures answer accuracy, groundedness and relevance before it reaches users

The Challenges Behind Every Stalled AI Initiative, Solved

How an Agentic Knowledge Layer removes the infrastructure, governance and data fragmentation barriers that hold enterprise AI back.

Core Problems Developers Face vs. How Agentic RAG Solves This

Why Enterprise AI Initiatives Stall

What Changes with the Right Foundation

Fragmented Data Foundation

Unstructured content is scattered across SharePoint, Google Drive, PDFs and systems of record, making accurate AI answers impossible

Unified Agentic Knowledge Layer

A single, continuously synced knowledge foundation ingests across 60+ formats, along with every source AI needs to reason over

Every Use Case Requires a Rebuild

Each new AI initiative forces a bespoke build, resetting the data foundation and slowing the roadmap

Ingest Once. Power Everything.

One knowledge layer supports every AI use case (search, assistants, automation and more) with no redundant pipelines or rebuilds needed

No Trust in AI Outputs

Hallucinations, missing citations and unverifiable answers prevent adoption in regulated or mission-critical workflows

Grounded, Traceable Answers

Every response is sourced, cited and audit-logged, giving IT the accountability needed to deploy AI with confidence

Key Use Cases

Enterprise Knowledge Search

Gives employees instant answers from across SharePoint, Google Drive and internal systems without opening a new ticket.

Cross-Department AI Experiences

Powers customized AI assistants for HR, legal and finance teams from one governed knowledge layer, no redundant builds required.

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IT Helpdesk Automation

Resolves common requests automatically by surfacing the right answer from SOPs and support docs before a ticket is created.

Key Capabilities

The features behind a scalable enterprise AI strategy.

Modular SaaS RAG Pipeline

Agentic Knowledge Layer

Unified, governed retrieval foundation that powers every AI use case from a single, continuously updated knowledge base

Advanced Retrieval Strategies

Multi-Source Ingestion

Ingests from SharePoint, Google Drive, business apps, PDFs and video so AI always works from your most current content

Semantic Chunking and Smart Segmentation

REMi Quality Scoring

Continuously assesses answer accuracy, groundedness and relevance before AI outputs reach your users

Integrations

Works with the infrastructure your IT team already manages.

Data Ingestion

  • Documents (PDF, DOC, PPT, TXT)
  • Media (video, audio)
  • Web content (HTML, knowledge bases)
  • Agents continuously update

LLMs

  • OpenAI
  • Anthropic
  • Google
  • Amazon
  • Meta
  • Mistral
  • Hugging Face
  • DeepSeek
  • Bring-Your-Own

Sync Agents

  • AWS S3
  • Microsoft SharePoint
  • Google Drive
  • Dropbox
  • Progress® ShareFile® software

Model Context Protocol (MCP)

  • Business applications
  • CRM
  • CMS
  • Customizable retrieval
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Start Building with Agentic RAG

Launch grounded, agent‑driven AI experiences faster—without managing retrieval infrastructure.