The AI Ontology Infrastructure for high-stakes operations.

Anchoring probabilistic AI to a deterministic data operating system.

AI LLMs

Prompt

> “Compound N-402 achieves potent inhibition of the kinase…”

Analyzing…

Computing probabilities…

  • BTK 68%
  • Domains 18%
  • Activity 9%

Probabilistic, model guess

AI ontology infrastructure

N-402InhibitsBTK
ELN #4471PubMedClinical DB

Deterministic, verified fact

Deterministic

AI models guess the next word. Nextnet connects verifiable facts.

Connecting a probabilistic LLM like Claude directly to enterprise data creates a volatile black box of hallucinations and operational risk. Nextnet connects multimodal data into a deterministic knowledge graph, restricting AI models to formatting verified, auditable facts.

Compound ZDegradesELN #4471Protein ADownregulatesPubMedPathway Y

Compound Z inhibits Pathway Ydeduced through 2 verified steps

Knowledge graph

Link facts. Find insights.

The ontology sets the shape. The graph fills in the map. The OpenCypher and GraphQL framework integrates with AI models to synthesize verifiable insights from ontologized enterprise data. Trace every answer to its source enterprise data record.

Query

Find compounds that affect the MAPK pathway.Trace each one to its source record.

Result

CompoundPathwaySource
SorafenibMAPKPubMed
TrametinibMAPKInternal ELN
SelumetinibMAPKLIMS assay
RegorafenibMAPKPatents
CMP-0209PW-KPubMed
CMP-0774PW-KELN
CMP-1502PW-KLIMS
CMP-1866PW-KPatents
CMP-0338PW-BLIMS
CMP-0925PW-BPubMed
CMP-1187PW-BELN
CMP-1421PW-BLIMS

results · every row links to its source

Data layers

Everything you have. And more.

Public datasets, connectors into your own systems, and premium data alliance partners feed the same graph. Nothing is duplicated. Nothing leaves your perimeter.

Three layers. One graph.

Public open-access dataPubMedChEMBLPatentsClinicalTrials
Private data connectorsCloud storageSharePointLIMSELN
Premium data alliance ecosystemAlliance partnersCopyrightedConferences

One graph, no duplicatesnothing leaves your perimeter

Entity resolution

One entity. Every alias.

Connecting enterprise data to AI models like OpenAI isn’t enough. Nextnet connects, de-duplicates, and resolves every alias across your legacy data into a single, canonical object.

One object, many records. Merged into one truthful version.

LIMSJ. SmithCRMDr. J. SmithHR SYSTEMJohn A. SmithJonathan A. SmithLIMSJ. SmithCRMDr. J. SmithHR SYSTEMJohn A. SmithJonathan A. Smith

One object. One truth.

Semantic unity

Nextnet connects facts that never stood side by side.

How does $100M vaporize in a phase 1 drug trial? Toxic molecules often advance into clinical trials through silent data gaps. A biotech’s ELN logs the synthesis of compound N-402, but an unindexed LIMS record notes severe liver toxicity, while FDA limits remain buried in PDFs. Nextnet connects the dots in a single, deterministic reality.

Four data sources feeding a governance layer, an ontology engine and an entity graph of compounds, assays, patients, sites and products
Access control

Every answer is permission‑checked.

Not everyone sees the whole map. While frontier AI models are blind to enterprise security boundaries, Nextnet enforces strict access control before generating insights, preventing costly data leaks.

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