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Summary

Enterprise LLM and Document AI company building Solar LLMs, document parse/OCR/classification, information extraction, embeddings, and API/Studio tooling for business workflows.

Description

Provides Solar LLM APIs, embeddings, document parsing/OCR/classification and information extraction, plus Studio tooling and customer implementations for document-intensive enterprise workflows.

Positioning

Enterprise LLM and Document AI platform

Key facts

HQ location
Seoul, South Korea; hubs in San Francisco and Tokyo
Founded
2020
Employee range
51-200 (100+)
Funding stage
Series B
Company type
Private
Pricing model
Usage Based (API/usage-based developer pricing and enterprise contracts)
Last updated

Financials

Revenue estimate
Unknown / not publicly disclosed
Valuation estimate
Unknown
Investments
$72M Series B announced Apr 2024; over $100M total raised

Relationships

Target customers
Enterprises in finance, insurance, healthcare, tax, and document-intensive operations
Key competitors
Unstructured, ABBYY, Rossum, Google Document AI, Azure AI Document Intelligence, Together AI
Known customers
Amwins, Best Option, True Advance, Samsung, Hanwha

Classification (raw research text)

Core focus
Enterprise LLMs and Document AI
Core industry
Document AI / AI Infrastructure
Core category
LLM + document processing platform

Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.

Segments, Industries & Certifications

Segments

AI Workflows, AI Agents, LLM Fine-tuning, AI Developer Tools, Knowledge & RAG, Document AI, LLM Deployment, Traditional ML, AI Governance & Risk, Chatbots, Analytics & BI