Upstage

Upstage is a Korean AI company famous for its Solar language models and enterprise document AI that turns messy business paperwork into structured, queryable data.

Overview

Founded in 2020, Upstage became widely known when its Solar LLM topped open-model leaderboards, and it now sells a document-AI stack — OCR, layout analysis, table extraction and document embeddings — to enterprises building retrieval systems. Companies use Upstage to convert contracts, invoices and reports into knowledge bases their LLM applications can trust. The company offers both a developer platform with free credits and large-scale enterprise deployments, and it has expanded internationally from its Seoul base.

Key Features

• Document Parse API extracting text, tables and layout from PDFs and scans
• Solar family of compact, high-performance open language models
• Document embeddings optimized for enterprise RAG retrieval
• High-accuracy OCR including handwriting and complex tables
• On-premises deployment for regulated industries
• Generous free tier for developers building prototypes

Pricing

Upstage runs a freemium developer platform with free monthly credits, then usage-based pricing for API calls; enterprise contracts add private deployment and support.

Who Is It For

Developers building document-heavy LLM applications, and enterprises in finance, insurance and law that need reliable extraction before they can automate workflows.

Use Cases

Upstage is the layer between messy documents and trustworthy AI answers — the prerequisite for any serious enterprise retrieval system.

• Converting contracts and reports into RAG-ready knowledge
• Extracting tables and forms into structured data
• Building private document Q&A with retrieval-tuned embeddings

Getting Started

Sign up for the developer platform, spend the free credits on real PDFs and compare extraction quality against your current pipeline. Enterprise teams can move to private deployment when evaluation succeeds.

Results to Expect

Teams report markedly higher retrieval accuracy after switching to document-tuned parsing and embeddings, which is usually the difference between an AI demo and an application users trust.

Implementation and Support

Developers integrate Document Parse and embedding APIs in an afternoon; enterprise rollouts add private deployment, security review and volume pricing with Upstage’s team supporting evaluation.

Limitations to Keep in Mind

Very unusual scanned layouts may need review workflows, and production volume costs should be modeled before scaling.

What Users Say

Teams report noticeably better retrieval quality after moving to document-tuned parsing and embeddings.

FAQ

Is Upstage free to use?

Yes for getting started — the developer platform includes free credits, and Solar model weights are openly available; production usage is metered.

Does Upstage offer an API?

Yes. Document Parse, embeddings and LLM chat completions are all available as REST APIs with SDKs and documentation for enterprise developers.

How does Upstage compare to alternatives?

Compared with hyperscaler document AI, Upstage pairs top-tier OCR with its own retrieval-tuned models and open weights; compared with pure LLM vendors, it solves the document-grounding problem first.