Explorer

Search and visualize connected data.

Interactive visual discovery interface. Deep-dive into unforeseen relationships. Powered by the AI Ontology Infrastructure.

Trusted by high-stakes operations

Georgia Tech
MIT
UC San Diego
UC Berkeley
Siren Biotechnology
ElevateBio
University of Washington
Emory University
Queen's University Belfast
Ben-Gurion University
NUHS
MD Anderson Cancer Center
Eisai
UCSF
Imperial College London
Georgia Tech
Capabilities

Everything is connected.

The ontology sets the shape. The knowledge graph fills in the map. Explorer visualizes the path. Connect multi-step dependencies that vector search misses. Navigate your enterprise data in a single, queryable digital twin.

One knowledge graph across enterprise silos.

Free insights trapped within disconnected databases. Unify unstructured PDFs, CSV logs, sensor streams, and financial ledgers into an active digital twin.

  • Reveal deeper contextual relationships across multiple degrees of separation.
  • Natively bridge internal enterprise files with public open-access databases.
  • Generate dynamic summaries and insights from selected nodes within the path.

Every node is a verified entity.

Eliminate naming discrepancies. Nextnet automatically maps fragmented enterprise nomenclature to a single, deterministic source of truth.

  • Filter knowledge nodes by physical parameters, performance metrics, publication timelines, or custom metadata.
  • Uncover second- and third-degree connections that raw AI models overlook.
  • Trace data source metadata, entry timestamps, and access permissions for full auditability.

Two views. One deterministic source of truth.

Analyze complex multimodal data through your preferred perspective for decision-making.

  • Map view: an interactive, collaborative brainstorming map of connections.
  • List view: a familiar card-based format ranked by relevance.
  • Switch views instantaneously. Both reason over the same results.

Visual layouts for brainstorming.

Resolve complex data relationships using diverse brainstorming maps, including constellation, circular, cluster, and tree maps.

AI overview that doesn’t make things up.

AI Overview summarizes what’s already in the graph. It doesn’t invent new claims.

  • Discover non-obvious operational insights and hidden dependencies.
  • Opens new navigation routes based on additional insights.
  • Always tied to verified graph nodes, not generated on the fly.
“Links between genes, proteins, and pathways found within seconds that would have otherwise taken me weeks. The knowledge graph in Explorer has the potential to help me discover previously hidden pathways and design better T cell therapies.”
Dr. Cassian YeeMD Anderson Cancer Center

Keep your frontier AI model. Make it safe to deploy.