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Genomics · Drug Discovery · Commercial Intelligence · MCP-native

233000+

Biomedical Entities

300+

Companies

1000+

Genes

350+

Pathways

231000+

Ontology Terms

Platform

Features

One graph, every layer of biology and business, in a single system.

Genomic Analysis

Upload genetic data, detect variants, and get genotype-aware health insights.

Biomarker Tracking

Track health metrics over time from wearables, labs, and manual entry with unit standardization.

Drug Discovery

Manage therapeutic assets across small molecules, biologics, peptides, and oligonucleotides.

Knowledge Graph

Drug-target mechanisms, bioactivities, and therapeutic efficacies linked to evidence sources.

LIMS Integration

Subject management, biospecimen tracking, assay protocols, and quantitative readouts.

Commercial Intelligence

Company deep dives, M&A and licensing deals, patents, revenue lines, and the patent-cliff math.

Development Pipelines

Monitor drug development stages, market organizations, and technology platforms.

Personalized Recommendations

Evidence-backed treatment suggestions based on your genomic profile and biomarker data.

Workflow

How It Works

Four steps: focus, traverse, ground, decide.

Step 1

Choose Your Focus

Select a therapeutic area, company, gene target, or ask a question in plain English.

Step 2

Traverse the Graph

AI navigates 233,000+ biomedical entities: genes, proteins, drugs, trials, patents, companies and revenue, all linked by evidence.

Step 3

Get Grounded Answers

Every claim traceable to PubMed, ClinicalTrials.gov, DrugBank, and patent databases. Zero hallucination.

Step 4

Make Decisions

Investment thesis validation, competitive and patent-cliff analysis, drug repurposing, and personalized health insights.

Use Cases

One platform. Three ways in.

Biotech teams, investors, and researchers ask the same graph different questions.

Biotech Company

Pipeline Intelligence

Deep dive your competitors' pipeline. Map drug targets, track clinical trials, monitor patent filings across therapeutic areas.

Q

Which companies target EGFR in NSCLC?

Osimertinib (AstraZeneca, Phase IV) → Dacomitinib (Pfizer, Phase IV) → 12 patents filed in 2024

Investor / VC

Market Intelligence

Ask any question about biotech. Get grounded answers with source citations from PubMed, ClinicalTrials.gov, and patent databases.

Q

What's the GLP-1 competitive landscape?

Novo Nordisk (Semaglutide) → Eli Lilly (Tirzepatide) → 50+ active trials → $50B+ projected market

Researcher / Doctor

Scientific Discovery

Explore genetic correlations, drug repurposing opportunities, and biological pathway interactions backed by evidence.

Q

What variants are associated with Alzheimer's risk?

APOE ε4 (rs429358, 3.7x risk) → APP A673T (protective) → mTOR / Autophagy pathway connections

nexotype · grounded query

AI-Powered

Biomedical Intelligence

Not a chatbot. A deterministic query engine over a curated biomedical knowledge graph.

Grounded Answers

Every answer traceable to graph nodes. If it's not in the database with a clear source, the AI cannot invent it. Zero hallucination on data.

7 Query Tools

Company portfolios, drug discovery paths, competitive landscapes, entity networks, pathway exploration, literature search, and variant analysis.

Source Attribution

Every claim linked to PubMed papers, ClinicalTrials.gov entries, or patent filings with confidence scores. Auditable by design.

Commercial Intelligence

From pipeline to patent cliff

The market layer of the graph: companies, deals, patents, revenue, and the loss-of-exclusivity math, on the same data as the biology.

Company Deep Dive

Portfolio, pipeline, patents, deals, reconciled revenue lines, and technology platforms, subsidiaries linked.

Patent Cliff & Exclusivity

Patent term, extensions, pediatric, orphan, and IRA folded into one loss-of-exclusivity date, tied to revenue at risk.

Deals & Licensing

M&A and licensing as structured rows: upfront, milestones, royalty, equity, territory, and rationale.

Revenue & Valuation

Per-line annual-report revenue reconciled to the total, with peak-sales forecasts and valuation inputs.

Market Sizing

Total addressable market, growth rate, and patient population per indication, per country, per year.

Catalyst Calendar

Conferences, R&D days, and trial readouts where deal flow clusters, linked to companies and assets.

NCTV-101 · exclusivity runway

LOE 2037
Base Patent
PTE
Pediatric
Orphan
20242037

Revenue at risk at LOE

$325M peak sales

The consolidation, at a fraction of the price

Platform
Strong at
Where it breaks
Citeline (Norstella)
Pipeline + trial + competitive intel, deep coverage
$50k–$200k/yr; report-oriented; no genomics layer; no AI query
Cortellis (Clarivate)
Pipeline, IP, regulatory, and safety modules
$20k–$150k/yr; modules priced separately; tabular, not a graph
Evaluate Pharma (Norstella)
Consensus drug sales forecasts and market intel
$30k–$100k/yr; forecast-first; no variant or target biology
GlobalData Healthcare
Pipeline, epidemiology, and sales data
$20k–$80k/yr; weak cross-entity traversal; no grounded AI layer
DrugBank / Open Targets
Drug, target, and gene biology, often free
No commercial layer: no patents, deals, revenue, or market sizing
Nexotype
One source-attributed graph from genomics to revenue, queryable via MCP
Grounded AI at a fraction of the enterprise price, expanding every month
MCP

Query the graph from your AI tools

Connect the Nexotype MCP server and ask the knowledge graph in plain English, from any client.

Claude Desktop

Anthropic's desktop app for macOS & Windows

VS Code / Cursor

IDE extensions with MCP support

Claude Code / CLI

Terminal-based AI coding assistants

Connect remotely with zero install. Paste the URL in your client:

https://mcp.nexotype.com/mcp
What drugs target EGFR and are in Phase III?
Show me Novo Nordisk's pipeline for metabolic diseases
Which variants are associated with Alzheimer's risk?
Compare GLP-1 receptor agonists across companies
When does exclusivity end for the top GLP-1 drugs?
Show me the recent oncology M&A and licensing deals
What drugs target EGFR and are in Phase III?
Show me Novo Nordisk's pipeline for metabolic diseases
Which variants are associated with Alzheimer's risk?
Compare GLP-1 receptor agonists across companies
When does exclusivity end for the top GLP-1 drugs?
Show me the recent oncology M&A and licensing deals
Genomics

From your genome to a grounded insight

Upload genetic data, detect variants, and traverse from a mutation to the drug that might treat it.

Variant → Gene → Drug → Trial

One traversal, from mutation to medicine.

The Platform

A whole company, in one view

Knowledge graph, drug pipeline, valuation and patent cliff on one screen, each figure traced back to its source.

client.nexotype.com
Nexotype analytics dashboard
Pricing

Every plan reads the whole graph

Pick the volume you need, not the data you're allowed to see.

Base

$20/mo

The whole graph, for one person.

  • 10 company reports/month
  • 1 subject tracked
  • 8,000 requests/month (max 500/day)
  • Knowledge graph and commercial intelligence
  • MCP server (Claude Desktop, Cursor)
  • Upload genetic data (23andMe, WGS)
  • Write your own R&D data
Get Started

Pro

$70/mo

Screen at volume and bring your own data.

  • 50 company reports/month
  • 5 subjects tracked
  • 100,000 requests/month (max 6,000/day)
  • Everything in Base
  • Write access (omics, clinical, LIMS, graph)
  • Knowledge graph curation
  • Priority email support
Get Started

Enterprise

$250/mo

For teams covering a whole therapeutic area.

  • 200 company reports/month
  • 25 subjects tracked
  • 500,000 requests/month (max 25,000/day)
  • Everything in Pro
  • Bulk data export
  • Priority support (SLA-backed)
  • Dedicated account manager
Get Started

Need more than 200 reports a month? Talk to us.

Contact

Let's talk

Interested in sharing your ideas with us? Reach out and we'll get back to you.

Studio

52 Grigore Alexandrescu Street, Bucharest

Ready to See the Whole Graph?

Biology, Connected.

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