Startups > OpenAI

OpenAI

OpenAI builds AI models and products for enterprises and developers.

Venture Round $180B total Founded 2015 San Francisco, California 5300 employees

OpenAI is an AI research and deployment company that builds large-scale foundation models (ChatGPT, DALL-E, Whisper, Codex) for language, vision, audio, and multimodal tasks. The company serves enterprises, developers, and consumers through a freemium SaaS model combined with API access and enterprise licensing. ChatGPT leads the consumer AI space with 900M+ weekly active users and 50M+ paid subscribers, generating significant revenue while advancing toward artificial general intelligence (AGI).

Problem solved

Organizations lack access to state-of-the-art AI models for language understanding, image generation, code writing, and audio transcription without building expensive in-house AI research teams.

Target customer

Enterprises needing AI capabilities, API developers building AI applications, consumers seeking advanced AI tools, Fortune 500 companies requiring custom AI solutions

Website LinkedIn Crunchbase Twitter / X

Founders

Sam Altman

CEO

Entrepreneur and former Y Combinator president who dropped out of Stanford; founded Loopt (acquired for $43.4M) and led Y Combinator from 2014-2019.

Greg Brockman

President & Co-Founder

Former CTO and 3rd employee at Stripe; instrumental in OpenAI's technical infrastructure.

Ilya Sutskever

Chief Scientist & Co-Founder (departed June 2024)

Deep learning researcher who left to found Safe Superintelligence Inc after 8 years at OpenAI.

Elon Musk

Co-Founder & Former Co-Chair

Entrepreneur and investor; co-founded OpenAI with $1B pledge alongside other founders.

Wojciech Zaremba

Co-Founder

Research scientist from Facebook AI Research and Google Brain; joined in 2016 and remains with company.

Funding history

Initial Grant Round $130M December 2015 Led by Elon Musk, Sam Altman, Reid Hoffman, Peter Thiel, others · AWS, Infosias

Microsoft Series Investment $13B Through 2023 Led by Microsoft · Microsoft Azure commitment

Series E $6.6B October 2024 Led by Thrive Capital ($1.2B) · Thrive Capital, existing investors

Series F $40B April 2025 Led by Multiple strategic investors · Various

Series G $110B February 2026 Led by Amazon ($50B), SoftBank ($30B), Nvidia ($30B) · Microsoft, a16z, D.E. Shaw Ventures, MGX, TPG, T. Rowe Price

Series H $122B April 2026 Led by Multiple strategic partners · Various

Total raised: $180B

Industries

Artificial Intelligence (AI) Generative AI Natural Language Processing Machine Learning Software

Pricing

Freemium SaaS with tiered plans: ChatGPT Free ($0), Go ($8/mo), Plus ($20/mo), Pro ($200/mo). API pricing per token: GPT-5.4 at $2.50/M input, $15.00/M output tokens; GPT-5-mini at $0.25/M input tokens. Enterprise custom licensing available.

Notable customers

Not publicly disclosed in detail; enterprise customers span Fortune 500 companies across industries

Integrations

Microsoft Azure, Stripe, Google Workspace, Apple iCloud Mail, Cloudflare, Vercel, Contentful, Radix UI

Tech stack

React (JavaScript frameworks) Next.js (Web servers) Radix UI (UI frameworks) Webpack Open Graph HTTP/3 Contentful (CMS) Cloudflare Bot Management (Security) HSTS (Security) Node.js (Programming languages) Apple iCloud Mail (Webmail) Google Workspace (Email) Cloudflare (CDN) Stripe (Payment processors) Google Tag Manager (Tag managers) Vercel (PaaS) Azure (PaaS) Priority Hints (Performance)

Website

openai.com/

Competitors

Google Gemini

Google's competing multimodal AI model with deeper integration into Google Cloud and Workspace ecosystem.

Anthropic Claude

Focuses on constitutional AI and safety; smaller user base but emphasizes interpretability and alignment research.

Meta Llama

Open-source models available for self-hosting; lower cost but requires more technical infrastructure.

Mistral AI

European-focused AI company with open models; emphasizes efficiency and privacy.

Why this matters: OpenAI dominates the AI market with ChatGPT commanding 6x more visits than competitors and 50M+ paid subscribers, making it the fastest-adopted consumer software ever. The company's $180B in total funding and $852B valuation (as of April 2026) reflect confidence in AI's transformative potential, while its founding mission around safe AGI positions it as a key player in shaping how advanced AI impacts society.

Best for: Enterprises, developers, and organizations needing state-of-the-art AI capabilities for language, vision, audio, and code generation without building proprietary AI research infrastructure.

Use cases

Customer Support Automation

Companies deploy ChatGPT API to power conversational support agents that handle tier-1 inquiries, reducing support costs by 30-40% while improving response times. The model handles multi-turn conversations, context understanding, and can be fine-tuned for industry-specific language.

Content Generation at Scale

Marketing and content teams use ChatGPT Plus or API to generate product descriptions, blog outlines, social media copy, and email campaigns in minutes. Organizations report 5-10x faster content production cycles with human editing for final QA.

Code Development Assistance

Engineering teams leverage Codex and GPT models via IDE plugins to generate, debug, and optimize code, reducing development time and enabling junior engineers to ship faster. Estimates suggest 35-50% faster coding for boilerplate and routine tasks.

AI-Powered Product Features

SaaS companies embed OpenAI APIs into products (search, recommendations, text analysis) to differentiate offerings without maintaining ML research teams. This enables PLG companies to add AI capabilities as native features.

Audio Transcription & Analysis

Enterprises use Whisper for real-time meeting transcription, compliance recording analysis, and accessibility features across call center and customer success operations with 99%+ accuracy across languages.

Alternatives

Google Gemini Choose if you need deeper Google Cloud integration, enterprise support through Google, or prefer multi-modal models with strong visual reasoning.

Anthropic Claude Choose if your primary concern is AI safety, interpretability, and constitutional AI alignment; better for use cases where model behavior transparency is critical.

Meta Llama Choose if you need open-source models for complete control, data privacy, and cost reduction through self-hosting on your infrastructure.

FAQ

What does OpenAI do? +

OpenAI develops and deploys large-scale AI foundation models (ChatGPT, DALL-E, Whisper, Codex) for language, vision, audio, and code tasks. The company operates a freemium SaaS consumer product (ChatGPT), provides API access for developers, and offers enterprise licensing for organizations. OpenAI's research aims to develop artificial general intelligence (AGI) safely and beneficially.

How much does OpenAI cost? +

ChatGPT subscriptions range from free ($0) to $200/month for the Pro plan. API pricing is per-token usage: GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens; smaller models like GPT-5-mini start at $0.25 per million input tokens. Enterprise plans are custom priced.

What are alternatives to OpenAI? +

Google Gemini (integrated with Google Cloud ecosystem), Anthropic Claude (focused on safety and interpretability), Meta Llama (open-source models for self-hosting), and Mistral AI (European company emphasizing efficiency). Each has different strengths in cost, privacy, integration, and safety approaches.

Who uses OpenAI? +

ChatGPT has 900M+ weekly active users and 50M+ paid subscribers. Enterprise customers span Fortune 500 companies, developers building AI applications, SaaS companies embedding AI features, and organizations across industries needing language, vision, audio, and code capabilities. Specific customer names are not publicly disclosed.

How does OpenAI compare to Google Gemini? +

OpenAI leads in consumer adoption (ChatGPT: 900M weekly users vs. Gemini's smaller base) and has a mature API ecosystem. Google Gemini offers tighter integration with Google Cloud, Workspace, and search products, plus enterprise support from Google. Both offer multimodal capabilities; choice depends on preferred ecosystem and use case requirements.