Get enterprise AI out of pilot and into production
Frontier models are now a commodity. Your competitive advantage is what your organization knows. Pinecone is the knowledge layer that makes AI accurate enough to trust and governed enough to approve, at a cost you can budget.
Four ways enterprise AI stalls
Every one of these traces back to the same thing: what the system knows about your business.
The pilot never gets approved to launch
Over half of AI projects stall before production. Across hundreds of teams running agents, reliability outranked model capability as the top blocker.
Costs overrun the budget
Every call re-sends the context gathered so far. Goldman Sachs projects token consumption to multiply 24x by 2030.
A wrong answer reaches the customer
A confident answer built on the wrong version of a policy still sounds authoritative. The cost lands with a customer, a regulator, or a board.
Security and legal never sign off
Every answer eventually gets questioned by a customer, an auditor, or a regulator. If the system cannot show which source it used, security and legal will not approve the launch.
Fix what the system knows
Pinecone gives AI governed access to what your business actually knows. That shows up in four places.
More accurate
Over 90% task completion with up to 94% higher accuracy.
Agents complete the task. Search and recommendations return results people act on.
Faster
Up to 30x faster answers, on sub-50ms retrieval at billions-scale.
Concept to production in days rather than months. Your engineers spend the time on the product instead of the plumbing.
Lower cost
Up to 90% lower cost than agentic RAG on the same workload.
Costs stop scaling with every query. Finance can forecast the year instead of revising it each quarter.
Trusted
Security enforced at the data layer, where retrieval happens.
Zero-access BYOC runs inside your own cloud, so data never leaves your trust boundary. SOC 2 Type II, HIPAA, GDPR, and ISO 27001. Security through RBAC and ABAC, IdP controls, lineage, and quotas.
How the platform fits together
Nexus is the engine. It sits on the retrieval foundation 24,000+ active organizations already run in production.
Database
Hybrid retrieval across vector, full-text, and metadata, at billion-vector scale.
Explore the database →Nexus
The knowledge engine. Compiles your data into governed, domain-specific knowledge and serves it to agents in one call.
Explore Nexus →Marketplace
Production-ready knowledge apps across sales, insurance, real estate, legal, HR, and support. Deployable in minutes.
Top enterprises run Pinecone in production
12% more accurate support responses, on faster calls.
50% increase in user engagement for recommendations at scale.
Secure search across millions of internal documents, for orgs across the company.
Built for regulated, production-scale workloads
Answers you can defend in an audit
Accuracy and access are enforced at the data layer, where retrieval happens.
Answers that cite their sources
Retrieval returns the records an answer was built from, so a reviewer can trace what the model saw. Pinecone Nexus returns field-level citations with confidence tiers.
See Nexus →An audit trail your auditors accept
Audit logs record user, service account, and API activity across your Pinecone resources, with Amazon S3 as a destination.
Read the security docs →Access control at the data layer
RBAC, SSO with SAML 2.0, SCIM, and service accounts. Permissions are enforced where the data is retrieved, so unauthorized access is prevented rather than detected afterward.
Read the security docs →No model lock-in
Pinecone supports embeddings from any model or provider. Change models, or move between hosted and your own, without rebuilding the knowledge layer underneath.
Explore the platform →Security and compliance your team can trust
The security and operational controls behind 10,000+ paying companies.
SOC 2 Type II
Annual audits. Controls for security, availability, and confidentiality.
HIPAA
BAA available on request for covered entities and business associates.
GDPR
Data processing agreements, EU data residency, and right-to-erasure support.
ISO 27001
Internationally recognized information security management standard.
Deployment that fits what's already running
From instant on-demand indexes to a privately managed region inside your own cloud account, adapting to the infrastructure and compliance posture already in place.
On-Demand
Fully managed and auto-scaling, with zero operational overhead and a path from API key to production measured in minutes.
- Instant startup
- Usage-based pricing
- Auto-scales to billions of vectors
Dedicated
Reserved compute for predictable performance, suited to workloads that need consistent throughput.
- Reserved capacity
- Predictable pricing
- Uptime SLA
BYOC Database
A privately managed Pinecone region inside the organization's own AWS, Azure, or Google Cloud account.
- Data never leaves the VPC
- Choice of cloud and region
- Custom compliance requirements
BYOC Nexus
The knowledge engine, running in your own cloud on AWS, Azure, or Google Cloud.
- Documents never leave your infrastructure
- Runs on models you choose
- Download your knowledge layer as an archive
What to take back to your team
Three things you can put in front of security, procurement, and engineering before the first call.
Security and compliance packet
Certifications, subprocessors, penetration test summaries, and the answers your security review is going to ask for.
Architecture review
Walk your workload through with a solutions architect. You leave with a deployment model, a scaling path, and a cost envelope.
Cost model
Size your own workload against serverless and dedicated pricing before you talk to anyone.
Questions your team will ask
The database, in most cases. Search, recommendations, and RAG run directly on it, and it is the retrieval foundation Nexus is built on. Add Nexus when you are putting agents into production and hitting accuracy, cost, or governance walls that better retrieval alone does not solve.
Usage-based pricing suits traffic that moves, since you pay only for the reads, writes, and storage you consume. For steady, high-volume workloads, Dedicated Read Nodes charge a fixed hourly price per node: three anonymized production workloads cut their retrieval bill by 77 to 97 percent moving from usage-based to reserved capacity. Size your own workload before you talk to anyone.
Yes. Bring Your Own Cloud runs the database inside your own AWS, Azure, or Google Cloud account with a zero-access operating model: no SSH, VPN, or inbound network access, and vectors and queries never leave your VPC. Nexus deploys the same way.
The vector database is the foundation, and Nexus is the engine above it. Search returns the top matching text stripped of the relationships that connect it, so an agent reconstructs on every request how a policy connects to a record. Public Preview customers compiled 3.5 million source chunks into roughly 26,000 pieces of structured, queryable knowledge, which is the work that stops happening at query time.
On τ-Knowledge, both GPT-5.2 and GPT-5.5 already had enough reasoning capability. A larger model does not fix a bill that scales with retrieval, or a completion rate capped by the context an agent can reach.
Central ontologies are authored up front by a team that does not do the work, and they decay from the day they ship. A Nexus Manifest is written by the subject matter expert, scoped to one job rather than the whole company, and re-curated in the same loop that surfaces conflicting sources for that expert to adjudicate.
The knowledge layer Nexus compiles is yours, and you can download it as an archive. Because you also choose the models and can run in your own cloud, there is no second migration waiting behind the first.
See it on your own workload
Knowledge infrastructure your security team can approve and your CFO can forecast.