Nextnet is AI ontology infrastructure that grounds frontier AI in enterprise data with traceable answers. Free plan, paid plans from $20/member/month.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Nextnet is an AI ontology infrastructure platform for what the company calls high-stakes operations in the world of atoms. Its site lists building bridges, erecting skyscrapers, fabricating electronics, deploying clean energy, managing complex projects and developing therapies as the kinds of work its customers do.
The core claim is that frontier AI models are volatile when connected directly to enterprise data, producing runaway token costs, hallucinations and compliance gaps. Nextnet positions itself as a deterministic layer between a company's data and the model, so the company keeps its chosen AI model while gaining traceability and more predictable cost.
Nextnet describes a six-part stack. At the top is an application layer where users work. Beneath it sit the ontology, the knowledge graph, institutional memory, data layers, and security and governance.
The ontology models operations as discrete objects, explicit relationships and strict permissions, with predefined industry repositories that can be customized per deployment. The knowledge graph then fills in the facts, resolving entity aliases once and making relationships explicit.
Data comes from public datasets, connectors into a customer's own systems and premium data alliance partners. These feed one graph, and the site says nothing is duplicated and nothing leaves the customer's perimeter. Every answer can be traced back to its source enterprise data record.
Two application tools are available today. Copilot is a chat interface that returns responses with grounded sources. Explorer lets users search and expand query results as nodes and relationships. The site says neither requires a query language or a data scientist. Notebooks and Data Library are listed as coming soon.
Beneath those tools, institutional memory preserves and structures an organization's tribal knowledge over time. Security is enforced before retrieval: records a user cannot access are excluded from graph traversal and never reach the AI model.
On the Team plan, the Ontology Foundation lets customers expand the ontology with proprietary data and manage custom ontology models, with unlimited private data integrations subject to storage and bandwidth quotas.
Nextnet is AI ontology infrastructure that layers a business ontology and knowledge graph between enterprise data silos and frontier AI models. It is built for high-stakes operations such as life sciences, clean energy, engineering and advanced manufacturing.
Free is $0. Starter is $20 per member per month billed annually or $25 monthly. Plus is $200 per member per month billed annually or $250 monthly. Team pricing is custom and requires contacting sales.
Yes. The Free plan costs $0 and includes core Copilot and Explorer features, with 20 GenAI responses and 20 Explorer queries per month. The site does not mention a separate free trial.
Nextnet targets technical leaders and researchers in high-stakes industries, including biotech, clean energy, engineering, advanced manufacturing and professional services. Team plans are aimed at compliance-sensitive organizations.
If a user cannot access the underlying enterprise record, it is excluded from graph traversal and never reaches the AI model. Nextnet says it enforces access control and compliance with enterprise permissions and industry standards.
Yes, through connectors into a customer's own systems, alongside public datasets and premium data partners. Proprietary data and custom ontology models are part of the Team plan's Ontology Foundation.
Starter and Plus suit very small teams and smaller teams respectively, with up to 10 and 25 Members. The product is oriented toward enterprises, and the full ontology features are on the Team plan, which starts at five Members.
Monthly quotas are 20, 100, 250 and 1,000 GenAI responses and Explorer queries on Free, Starter, Plus and Team. Team overage is $0.313 per response.