DigitalOcean vs Extend
Side-by-side comparison of AI visibility scores, market position, and capabilities
2024 revenue $781M (up 13% YoY); Q3 2025 revenue $230M (up 16% YoY); trailing 12-month revenue (Sept 2025) $864M; net income 2024 $84M (335% growth) at 11% margin; Q1 2025 $38M (170% growth) at 18% margin
About
DigitalOcean is a cloud infrastructure platform founded in 2011 in New York City, built with the explicit mission of making cloud computing simple, affordable, and accessible to developers, startups, and small-to-medium-sized businesses that are underserved by hyperscaler complexity. The company's core technology provides virtual machines (Droplets), managed Kubernetes, managed databases, object storage, and AI/ML compute in a developer-friendly interface with transparent, predictable pricing — a deliberate contrast to the billing complexity and enterprise-oriented abstractions of AWS, Azure, and Google Cloud.\n\nDigitalOcean's platform serves more than 600,000 customers across 185 countries, the majority of them independent developers, digital agencies, software startups, and growing technology companies. The company has expanded its product portfolio into GPU-accelerated compute for AI model training and inference, positioning itself as a cost-effective alternative to hyperscaler AI infrastructure for developers building and fine-tuning models at smaller scales. Its App Platform, managed databases, and one-click marketplace further reduce infrastructure complexity for teams without dedicated DevOps resources.\n\nDigitalOcean reported $781 million in revenue for 2024, a 13% year-over-year increase, with Q3 2025 revenue of $230 million reflecting continued 16% growth momentum. Net income reached $84 million in 2024, a 335% increase, demonstrating the platform's operating leverage as it scales. As the global developer population grows and SMB technology adoption accelerates, DigitalOcean's combination of simplicity, affordability, and expanding AI compute capabilities positions it to capture spending from organizations that find hyperscaler platforms overly complex and expensive for their needs.
San Francisco AI document processing using LLMs for enterprise data extraction from invoices, contracts, and forms; $17M Innovation Endeavors and YC-backed at multi-million ARR serving Brex and Square cash-flow positive.
About
Extend is a San Francisco-based AI document processing platform using large language models to provide accurate data extraction and document understanding for enterprise workflows — turning unstructured documents (invoices, contracts, medical records, financial statements, onboarding forms) into structured data at the accuracy and cost level that manual processing and traditional OCR cannot match at scale. Backed with $17 million raised in combined seed and Series A funding led by Innovation Endeavors with Y Combinator, Homebrew, and angel investors including Adobe's CSO and Vercel's CEO, Extend reached multi-million dollar ARR and cash-flow positive status serving customers including Brex, Square, Checkr, and multiple Fortune 500 companies.
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