Make drug discovery
programmable.

Building at the frontier of therapeutics. baSeq is an applied AI lab designing the systems and models behind modern drug discovery.

Trusted by research institutions and biotech

Treefrog CITCO Amplexa Genetics Odense University Hospital University of Southern Denmark University of Copenhagen + 1 Major biotech company

baSeq is built for the questions drug discovery teams actually ask. Take complex biological questions and get evidence-backed answers, auditable end to end and integrated with your existing stack.

A system that understands your data

Your experiments produce rich, multi-modal data, but turning it into actionable biology still takes months of low impact work. baSeq's agent network takes your raw data and autonomously orchestrates the optimal workflow, connects to proprietary and external knowledge bases, and generates full documentation, with scientist approval at every critical decision point.

  • Scale your analysis across your entire infrastructure
  • Scientists spend time on high impact work, not data integration
  • Every analytical decision documented with full provenance

Analysis that plans, executes, and documents itself

baSeq's agent network takes your raw data and autonomously orchestrates the optimal workflow, executes each step, and generates full documentation, with scientist approval at every critical decision point.

  • Hours to results instead of weeks of pipeline engineering
  • Custom integration to build the application layer tailored to your company
  • human-in-the-loop at every critical decision point

Enterprise-grade from day one

Deploy in your environment on-prem, private cloud, or on baSeq infrastructure. baSeq meets companies where they are, no matter their data and infrastructure preferences.

  • Secure, scalable, and compliant infrastructure
  • Data stays where it belongs on-prem, air-gapped, or private cloud
  • Standards-based integration with your existing stack via A2A and MCP

baSeq helps biotech and pharma
R&D teams make sense of data
from early discovery to clinical trials

Hypothesis Generation
Rapidly validate biological hypotheses with evidence from curated databases, your internal data, and in-house deep-learning models for protein structure and localization
Target Identification
Integrate transcriptomic, proteomic, and genomic data to pinpoint novel targets
Target Validation
Confirm target viability with reproducible, multi-modal evidence
Hit Discovery
High-throughput compound screening
Lead Optimization
Medicinal chemistry and SAR refinement
ADME
Absorption, distribution, metabolism, excretion profiling
Tox Studies
Preclinical toxicology assessment
In Vivo Studies
Rapidly analyze and interpret complex in vivo readouts with reproducible pipelines and on-demand knowledge base integrations
Biomarker ID
Discover biomarker signatures across patient cohorts and validate across cohorts and disease models and historical data from your own internal database
GLP
Good Laboratory Practice compliance studies
Phase Ia / Ib
Stratify patients and track pharmacodynamic biomarkers
Phase IIa / IIb
Power efficacy analysis across multi-modal patient data at scale
Phase III
Large-scale confirmatory clinical trials
Regulatory Filing
NDA/BLA submission to regulatory agencies

Ready to run your R&D on evidence?

Reach out to hear how baSeq integrates with your existing infrastructure to increase productivity and reduce time to market.

Book a Demo

Prefer email? [email protected]

Supported by

Rockstart Innovation Fund Denmark