Unsiloed AI

Cover Block

Attribute	Value
Company Name	Unsiloed AI
Tagline	APIs parsing multimodal unstructured data into LLM-ready JSON and Markdown
Headquarters	San Francisco, United States
Founded	2024
Stage	Pre-Seed
Business Model	API / Developer Platform
Industry	AI / Machine Learning
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Pre-seed
Total Disclosed	~$500,000 [PitchBook]

Links

• Website: https://www.unsiloed.ai/
• LinkedIn: https://www.linkedin.com/company/unsiloed-ai
• Y Combinator: https://www.ycombinator.com/companies/unsiloed-ai

Summary and Signal

Unsiloed AI provides APIs that convert complex, unstructured documents into structured formats for AI systems. The company, founded in 2024 by Aman Mishra and Adnan Abbas, emerged from Y Combinator's Winter 2025 batch with a focus on accuracy-sensitive domains like finance and legal [Y Combinator]. Its core product uses proprietary vision models to parse PDFs, images, and spreadsheets into LLM-ready JSON and Markdown [Unsiloed AI]. The company has raised a pre-seed round of $500,000 and reported $550,000 in revenue as of November 2025 [PitchBook] [getlatka, Nov 2025].

Data Accuracy: YELLOW -- Core product and YC backing are confirmed; revenue and customer claims rely on single, unverified sources.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	API / Developer Platform
Industry	Other
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Pre-seed (total disclosed ~$500,000)

Company Overview

Unsiloed AI was incorporated in 2024 and is headquartered in San Francisco [Crunchbase]. The company's founding narrative centers on the challenge of making unstructured data directly usable by large language models and AI agents [Unsiloed AI]. Its primary public milestone came in early 2025 with acceptance into Y Combinator's Winter 2025 (F25) batch [Y Combinator]. A pre-seed round of $500,000 was closed in 2025, with participation from Y Combinator, Entrepreneurs First, Orange Collective, Spot VC, and Transpose Platform Management [PitchBook, Crunchbase]. By late 2025, the company reported generating $550,000 in revenue [getlatka, Nov 2025].

Data Accuracy: YELLOW -- Key dates and investor names are corroborated by Crunchbase and PitchBook; revenue and customer claims rely on a single source.

The Product and the Stack

The product is a developer-focused API that ingests documents in a range of unstructured formats and outputs structured data. The service converts PDFs, PowerPoint files, DOCX documents, tables, charts, and images into structured Markdown and JSON [Y Combinator]. The core technical claim is the use of proprietary dual-stream vision models, which combine computer vision with OCR-based techniques to extract information from complex layouts [Unsiloed AI]. The company is seeking a Founding ML Researcher to work on vision-language models, multimodal reasoning, and retrieval-augmented generation (RAG) systems [Y Combinator].

The market for unstructured data processing is expanding as enterprises accelerate AI adoption. The global market for intelligent document processing was valued at approximately $1.5 billion in 2023 and is projected to grow at a compound annual rate of 30% through 2030 [Grand View Research, 2023].

Metric	Value
Intelligent Document Processing (2023)	1.5 $B
Projected CAGR (2023-2030)	30 %

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous, broader sector report; specific TAM for LLM-ready document parsing is not independently verified.

The Competitive Field

Unsiloed AI enters a fragmented market for document parsing. Incumbent data extraction platforms like Hyperscience and Rossum target specific verticals. Open-source libraries, such as those from the Unstructured.io ecosystem, provide a baseline for parsing. API-native challengers, including LlamaParse and Reducto, target the LLM application layer [Y Combinator].

Company	Positioning	Stage / Funding	Notable Differentiator
Unsiloed AI	Vision model APIs for converting PDFs, images, spreadsheets into LLM-ready JSON/Markdown.	Pre-seed, YC F25. ~$500k disclosed.	Proprietary dual-stream vision models; compliance-ready workflows.
Unstructured	Open-source library and API for pre-processing text and PDFs for LLMs.	Series A, $25M (2023).	Strong open-source community; broad format support.
LlamaParse	API by LlamaIndex specifically for parsing complex PDFs into markdown for RAG.	Part of LlamaIndex.	Tight integration with LlamaIndex RAG stack.
Reducto	AI-powered API to extract structured data from any document.	Seed stage.	Focus on turning documents into structured data (CSV, JSON).
Chunkr	API to parse, chunk, and clean documents for AI.	Early stage.	Emphasis on semantic chunking and data cleaning.

Data Accuracy: YELLOW -- Competitor funding and positioning are sourced from Crunchbase and general market knowledge; Unsiloed's differentiator claims are from its YC profile but lack third-party verification.

Opportunity

The prize for Unsiloed AI is ownership of the data ingestion layer for enterprise AI. The headline opportunity is to become the default, compliance-ready infrastructure for parsing complex documents in regulated industries, starting with finance and legal [Y Combinator].

Scenario	What happens	Catalyst	Why it's plausible
Regulatory Standard in Finance	Unsiloed's API becomes the de facto tool for regulatory reporting and audit document processing.	A public case study or partnership with a major financial regulator or a top-tier audit firm.	The company targets compliance-ready workflows for financial institutions.
Embedded Layer for Vertical SaaS	The API is white-labeled and embedded into major fintech, legaltech, and healthtech platforms.	An announced integration with a platform like Clio or Plaid.	The product is marketed as an API/developer platform.
Acquisition by a Cloud Hyperscaler	A cloud provider acquires the team and tech to bolster its AI/ML data prep offerings.	Unsiloed demonstrates unique accuracy at scale with a marquee enterprise customer.	Hyperscalers have a history of acquiring niche, technically superior data tooling.

Data Accuracy: YELLOW -- Core opportunity thesis is built on company-stated positioning and one revenue metric; growth scenarios are plausible but not yet evidenced by public partnerships or customer announcements.

Sources

1. [Y Combinator] Unsiloed AI: API for parsing multimodal unstructured data | https://www.ycombinator.com/companies/unsiloed-ai
2. [Unsiloed AI] Unsiloed AI | https://www.unsiloed.ai/
3. [Forbes] Aman Mishra - Forbes Business Council | https://www.forbes.com/councils/forbesbusinesscouncil/people/amanmishra/
4. [Forbes] Adnan Abbas - Forbes Business Council | https://www.forbes.com/councils/forbesbusinesscouncil/people/adnanabbas/
5. [PitchBook] Unsiloed AI 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/820986-04
6. [getlatka, Nov 2025] How Unsiloed AI hit $550K revenue with a 5 person team in 2025. | https://getlatka.com/companies/unsiloed-ai.com
7. [Crunchbase] Unsiloed AI - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/unsiloed-ai
8. [Crunchbase] Pre Seed Round - Unsiloed AI - Crunchbase Funding Round Profile | https://www.crunchbase.com/funding_round/unsiloed-ai-pre-seed--cd04e083
9. [Grand View Research, 2023] Intelligent Document Processing Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/intelligent-document-processing-market-report
10. [Y Combinator] Founding ML Researcher at Unsiloed AI | https://www.ycombinator.com/companies/unsiloed-ai/jobs/SJCT4d4-founding-ml-researcher
11. [Y Combinator] Founding Software Engineer - Backend and Infrastructure at Unsiloed AI | https://www.ycombinator.com/companies/unsiloed-ai/jobs/cmlq27S-founding-software-engineer-backend-and-infrastructure