Mindee vs Neon

Side-by-side comparison of AI visibility scores, market position, and capabilities

Neon leads in AI visibility (90 vs 34)
Mindee logo

Mindee

EmergingInfrastructure

Cloud Services

Document AI API platform for invoice, receipt, and ID data extraction; developer-friendly OCR with pre-built and custom models competing with AWS Textract and Google Document AI.

AI VisibilityBeta
Overall Score
D34
Category Rank
#60 of 85
AI Consensus
68%
Trend
up
Per Platform
ChatGPT
34
Perplexity
41
Gemini
27

About

Mindee is a document AI and OCR technology company providing developer APIs for automated data extraction from structured and semi-structured documents — invoices, receipts, identity documents, passports, bank statements, W-9 forms, and custom document types — using computer vision and machine learning models trained on millions of real-world documents. Founded in 2017 in San Francisco, Mindee is a Y Combinator W21 graduate that raised $23.75 million total including a Series A-II in March 2023, serving developers building document automation workflows.\n\nMindee's API platform provides both pre-built extraction models for common document types (invoice parsing returns structured JSON with vendor name, line items, totals, tax) and custom model training capabilities where developers can train extraction models on their own proprietary document formats. The DocTI product (launched 2024) extends document intelligence to more complex multi-page documents with classification and routing capabilities. The API-first approach enables developers to add document processing to their applications without building OCR infrastructure themselves.\n\nIn 2025, Mindee competes in the document AI market with AWS Textract, Google Document AI, Azure Form Recognizer, Rossum, and Hyperscience for document data extraction automation. The document AI market has grown substantially as enterprises pursue AP automation, digital onboarding, and compliance document processing at scale. Mindee's developer-focused positioning (clean APIs, well-documented SDKs, generous free tier) differentiates it from enterprise-focused platforms that require professional services implementation. The 2025 strategy focuses on expanding the pre-built model library to cover more document types globally, improving custom model training workflows, and growing adoption in the fintech, healthcare, and logistics verticals where document processing automation delivers high ROI.

Full profile
Neon logo

Neon

LeaderInfrastructure

Cloud Services

Serverless PostgreSQL with instant branching, scale-to-zero, and AI-native multi-tenant database architecture; favored by AI startups and Vercel developers.

AI VisibilityBeta
Overall Score
A90
Category Rank
#4 of 85
AI Consensus
72%
Trend
stable
Per Platform
ChatGPT
82
Perplexity
91
Gemini
92

About

Neon is a serverless PostgreSQL platform offering instant database provisioning, automatic scaling to zero, and database branching — capabilities that make it uniquely suited for modern application development workflows, particularly AI applications that need dedicated databases per tenant. Founded in 2021 and headquartered in San Francisco, Neon raised $46 million in Series B funding in 2023 and has positioned itself at the forefront of the AI infrastructure wave, becoming the default Postgres provider for numerous AI startups and developer tools.

Full profile

AI Visibility Head-to-Head

34
Overall Score
90
#60
Category Rank
#4
68
AI Consensus
72
up
Trend
stable
34
ChatGPT
82
41
Perplexity
91
27
Gemini
92
38
Claude
85
36
Grok
92

Key Details

Category
Cloud Services
Cloud Services
Tier
Emerging
Leader
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Shared
Cloud Services

Integrations

Only Neon

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