Exa
AI Infrastructure
← Websites
Pinecone
The knowledge platform for production AI agents
Visit site ↗
0.3MB · 5,367px tall · uses gtPlanar, Helvetica, JetBrains Mono
Industry
AI Infrastructure, Data, Devtools
Style
Minimal, Bento, Illustrative
Stage
Series B
Built with
Unknown
About the site
Pinecone provides retrieval infrastructure that gives AI applications and agents fast access to relevant knowledge. The site is organized around concrete builder tasks, with product interfaces carrying much of the explanation in a clean modular grid. A useful reference for developer platforms balancing product promise, implementation, and enterprise proof.
How this page sells
For developers building AI agents, with a toggle for leaders: a one-command start, early answers on cost, enterprise trust last.
Primary navigation
- Products
- Enterprise
- Customers
- Resources
- Pricing
ClickTap a section to see it on the page
A 'Select experience: Builder | Business Leader' switch above 'Give agents knowledge' with 'knowledge' in blue, 'Fast, accurate retrieval that doesn't get more expensive as it scales', and Start Building and Get a Demo.
Why it converts: The toggle lets a CTO and an engineer each read the pitch in their own terms, and 'doesn't get more expensive as it scales' pre-empts the vector database cost fear.
L'Oréal, Microsoft, Mercado Libre, OpenAI and Cohere in one row under the hero.
Why it converts: OpenAI and Cohere using Pinecone is the strongest possible signal to an AI builder: the model makers themselves trust it for retrieval.
Tabs for Claude Code, Cursor, Copilot, Codex, Gemini, CLI and MCP over a one-line '$ claude plugin install pinecone' with a Copy button.
Why it converts: Meeting developers inside the AI tool they already code with turns 'try Pinecone' into one pasted command, the shortest path from interest to usage.
An estimator sentence: 'I'm building a [RAG pipeline] for a [production app]' with Get an estimate, plus See full pricing.
Why it converts: Cost at scale is the top objection to managed vector search. A fill-in-the-blank estimate answers it for the reader's own workload before they sign up.
The real console at app.pinecone.io showing an 's-cache' index with 55,611 records and search results, captioned 'or stay in the terminal. Your call.'
Why it converts: A real console removes the black-box worry of a managed database, and 'your call' respects developers who never want to leave the CLI.
Three steps with numbers: Write '<100ms acknowledgment', Index 'Automatic, no tuning required', Query 'Consistent at any scale', with a whitepaper link.
Why it converts: 'No tuning required' is the promise that separates a managed service from self-hosted alternatives engineers would otherwise have to babysit.
Pinecone Nexus 'compiles enterprise data into governed knowledge once, then serves it through a single query', with a '{lower cost}' card and a 90% 'fewer tokens per task' stat.
Why it converts: Fewer tokens per task is a direct cut to the LLM bill, which moves the conversation from infrastructure cost to overall AI spend.
Three cards: Governed (encryption, SSO, RBAC, CMEK, private networking), Compliant (SOC 2 Type II, HIPAA, GDPR, ISO 27001), Reliable (uptime and support SLAs, dedicated customer success).
Why it converts: Putting the enterprise checklist near the end lets the builder start freely, then hands their security team the answers when the project goes to production.
'Start building knowledgeable AI today' with 'Create your first index for free, then pay as you go when you're ready to scale', beside Start Building and Get a Demo.
Why it converts: Free to start and pay-as-you-go removes the upfront commitment, which is what lets a developer adopt it without asking anyone.
