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www.graphlit.com

Unstruk Data, Inc. provides an API-first platform for enterprise knowledge graphs and AI-enabled workflows.

Unstruk Data, Inc. is a technology company that builds platforms for enterprise knowledge management and AI-enabled workflows. The organization focuses on connecting diverse data sources—across documents, emails, calendars, CRM and collaboration tools—into a unified knowledge graph and memory. Its flagship platform enables ingestion, extraction, enrichment, and retrieval of operational content, empowering teams to build grounded, context-aware AI agents and applications that improve decision-making, collaboration, and productivity.

Mission statement

To help organizations unlock trusted, searchable context from fragmented data and enable AI-driven agents to reason over it to automate knowledge work.

Products & Services

Graphlit Platform Platform

Transform diverse content into actionable insights with the Graphlit Platform for AI solutions.

www.graphlit.com
  • ✓ Content ingestion from 30+ sources — Unify Context Across Sources
  • ✓ Knowledge graph and memory — Persistent Memory Management
  • ✓ Streaming RAG with citations — Real-Time Preview and Citation
  • ✓ Entity extraction across content — Automatically Extract Entities
  • ✓ Semantic search options — Advanced Search Capabilities
  • ✓ RAG-ready PDF and document ingestion — Streamlined Document Handling
  • ✓ Multi-tenant production architecture — Scalable Enterprise Deployment
  • ✓ Three-stage workflow processing — Structured Content Transformation
  • ✓ Web crawling and web-to-markdown conversion — Enhanced Content Accessibility

Market Segments

Billion USD 0 5 10 15 20 25 Enterprise know… Retrieval-augme… Enterprise cogn… Content ingesti… Market Size (Billion USD)
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% CAGR Growth Potential

Enterprise knowledge management

Capabilities to author, maintain, analyze, and ground knowledge used by AI and service workflows, including gap analysis, content recommendations, and article‑level performance insights.

Market size: $23.2B CAGR: 15%
Estimates derive from industry reports in the search results for the knowledge-management / enterprise KM software market. Fortune Business Insights reports a market value of USD 23.2B in 2025 (CAGR 13.8%). MarketResearchFuture gives a smaller 2025 base (USD 14.56B) and a higher software-focused CAGR (16.92%). A LinkedIn summary of an enterprise‑KM report indicates a lower 10.3% CAGR for enterprise knowledge management specifically. A much larger BusinessResearchInsights figure (USD 931.26B, CAGR 18.12%) appears to use a much broader KM definition. For the user’s enterprise knowledge management segment (authoring, maintenance, analytics, grounding for AI/workflows), I adopt the software‑market focused 2025 base (Fortune) and a midpoint growth potential (~15% CAGR) between the cited software estimates (≈10–17%), adjusting downward from the very large broad-market figure.
GL MA PR KN 4 references

Retrieval-augmented generation platforms

Capabilities that integrate enterprise data retrieval with large language models to provide contextually accurate, up-to-date responses using RAG, vector storage, and secure enterprise data connectors.

Market size: $1.9B CAGR: 49.12%
Primary estimate uses Precedence Research’s explicit 2025 market size and forecast (USD 1.85B in 2025; CAGR 49.12% 2025–2034). This is corroborated by AtScale’s citation of a Grand View Research estimate (~USD 1.043B in 2023) and a similar high-growth projection (44.7% to 2030), indicating strong consensus on rapid multi-year CAGR.
TH GL 2 references

Enterprise cognitive search

AI‑powered search and retrieval capabilities that surface contextual, personalized, and RAG‑enabled answers across multiple enterprise systems and content sources.

Market size: $2.9B CAGR: 16.19%
SNSInsider directly reports the AI‑powered cognitive search market at USD 2.87B in 2024 with a 16.19% CAGR to 2032. Broader AI search and enterprise search reports (FMI, MRFR) show larger adjacent markets (USD 18.5B AI search; USD 5B enterprise search in 2024), which support treating cognitive/AI‑powered enterprise search as a smaller, high‑growth segment within the larger AI search ecosystem.
MA TH TH 3 references

Content ingestion and connector orchestration

Connectors, web crawling, and ETL workflows that consolidate content from SaaS apps, email, calendars, web, and documents into structured, RAG-ready formats for downstream AI use.

Market size: $2.2B CAGR: 22.16%
Estimate based on the AI orchestration platform market (Precedence Research) which reports a USD 11.1 billion market in 2025 and a 22.16% CAGR (2026–2035). Content ingestion and connector orchestration is treated as a subsegment (connectors, crawling, ETL within AI/data orchestration); assuming a reasonable share of ~20% of the overall AI orchestration market yields ~USD 2.22 billion in 2025. Growth potential aligned with the broader AI orchestration CAGR (22.16%), given rising demand for data/connector tooling for RAG and enterprise AI pipelines.
TH CA 2 references

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Embedchain, Inc. (DBA Mem0)

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Epsilla, Inc.

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INBENTA HOLDINGS INC.

Enterprise AI platform provider delivering governance-focused, multilingual CX and knowledge-work automation.
Inventive AI

Inventive AI delivers AI-powered RFP automation and knowledge management to help sales, proposals, and compliance teams respond faster with accurate, on-brand content.

Common Questions

What does Unstruk Data, Inc. do?
Unstruk Data, Inc. is a technology company that builds platforms for enterprise knowledge management and AI-enabled workflows. The organization focuses on connecting diverse data sources—across documents, emails, calendars, CRM and collaboration tools—into a unified knowledge graph and memory. Its flagship platform enables ingestion, extraction, enrichment, and retrieval of operational content, empowering teams to build grounded, context-aware AI agents and applications that improve decision-making, collaboration, and productivity.
What is Unstruk Data, Inc.'s role in the Enterprise knowledge management market?
Capabilities to author, maintain, analyze, and ground knowledge used by AI and service workflows, including gap analysis, content recommendations, and article‑level performance insights.
What is Unstruk Data, Inc.'s role in the Retrieval-augmented generation platforms market?
Capabilities that integrate enterprise data retrieval with large language models to provide contextually accurate, up-to-date responses using RAG, vector storage, and secure enterprise data connectors.
How was the Enterprise knowledge management market size estimate for Unstruk Data, Inc. calculated?
Estimates derive from industry reports in the search results for the knowledge-management / enterprise KM software market. Fortune Business Insights reports a market value of USD 23.2B in 2025 (CAGR 13.8%). MarketResearchFuture gives a smaller 2025 base (USD 14.56B) and a higher software-focused CAGR (16.92%). A LinkedIn summary of an enterprise‑KM report indicates a lower 10.3% CAGR for enterprise knowledge management specifically. A much larger BusinessResearchInsights figure (USD 931.26B, CAGR 18.12%) appears to use a much broader KM definition. For the user’s enterprise knowledge management segment (authoring, maintenance, analytics, grounding for AI/workflows), I adopt the software‑market focused 2025 base (Fortune) and a midpoint growth potential (~15% CAGR) between the cited software estimates (≈10–17%), adjusting downward from the very large broad-market figure.
How was the Retrieval-augmented generation platforms market size estimate for Unstruk Data, Inc. calculated?
Primary estimate uses Precedence Research’s explicit 2025 market size and forecast (USD 1.85B in 2025; CAGR 49.12% 2025–2034). This is corroborated by AtScale’s citation of a Grand View Research estimate (~USD 1.043B in 2023) and a similar high-growth projection (44.7% to 2030), indicating strong consensus on rapid multi-year CAGR.
Unstruk Data, Inc. — company overview

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