ADC Intelligence
Virtual assays for antibody-drug conjugate positioning and optimization
Company profile
Company profile
Turbine is a biotechnology AI company that has built a Virtual Lab platform for simulating biological experiments at unprecedented scale. Founded in 2016 and headquartered in Budapest, Hungary, Turbine serves leading biopharma companies including MSD (Merck & Co.), AstraZeneca, Bayer, and Ono Pharmaceutical. The company's platform enables scientists to simulate millions of experiments per day on virtual disease models, dramatically accelerating drug discovery timelines and improving success rates. Turbine's Virtual Lab includes over 1,400 oncology cell lines, 1,200 payloads and drug molecules, and knockout alterations across 8,500+ genes. The platform supports multiple use cases including target discovery, combination design, ADC positioning, biomarker selection, clinical positioning, and indication expansion. By virtualizing experiments before conducting wet lab work, Turbine helps partners make better R&D decisions repeatedly, with claims of 1.5x higher validation success rates and 2x faster timelines from scientific question to validation. The company offers tiered access from self-serve simulations on public datasets (vLab Core) to fully integrated collaborative platforms with proprietary data (vLab Collaborate) and wet lab validation loops. Turbine has raised over $60M in funding through Series B, backed by investors including Accel, MSD Global Health Innovation Fund, XTX Ventures, and Accenture Ventures. The company employs over 80 people across multiple European countries and the United States.
Company description Turbine official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas · Hybrid deployment with recorded integration context.
Company milestones
Raised $25M Series B in February 2024. Partnership with AstraZeneca announced October 2025 for ADC development. Platform validated across 30+ discovery programs.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Virtual assays for antibody-drug conjugate positioning and optimization
AI-powered platform for identifying and validating novel drug targets in precision oncology
Integrated platform combining in silico predictions with wet lab validation for continuous improvement
Enterprise platform for simulating experiments on virtual endogenous disease models across R&D portfolios
Self-serve virtual lab for simulating oncology experiments on public and proprietary datasets
In silico predictions leveraging proprietary datasets with Turbine expertise and interpretation services
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Microsystems & nanoengineering · Aug 14, 2026
A bilayer hydrogel actuator based on a microgel island-bridge structure for integrated sensor arrays and intelligent rehabilitation systems.Nanoscale · Jul 21, 2026
Synthesis of flame-retardant fluorescent supramolecular polymers for post-combustion fluorescent tracking, cryptographic applications, and eco-friendly invisible fluorescent inks.Materials horizons · Jun 18, 2026
Modeling the interpretable geometric-performance relationship of metamaterials on small datasets using Kolmogorov-Arnold operator informed network.Scientific reports · Jun 2, 2026
A Biocompatible ZIF-8 Spray and Its Long-Lasting Antibiosis.Nanomaterials (Basel, Switzerland) · May 27, 2026
A novel immersion chemical mechanical polishing device and tailored slurry for processing heavy duty gas turbine compressor blades.Scientific reports · May 23, 2026
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Platform capacity for virtual experiments
Mechanistic hypotheses increase likelihood of validation
Time from scientific question to starting validation
ADC development and optimization
Turbocharging ADC efforts through AI-based virtual experiments
Virtual Assays for discovery programs
Rationalized experiments across discovery programs
Using Turbine's Simulated Cell to transform oncology drug discovery and development process
Potential to provide insight at scale for challenging biological mechanisms
Unlocking biological insights across biopharma industry
High-quality biological insights delivered across multiple clients
Target discovery with first-in-class potential
Multiple targets with first-in-class potential identified with biology-driven insights for rapid validation
05 · Leadership
Leadership profiles and professional links from the current Company record.
Szabolcs Nagy
CEO & Co-Founder
Dr. Dániel Veres
CSO & Co-Founder
Kristóf Szalay
CTO & Co-Founder
Dr. Iván Fekete
Lead Application Scientist & Co-Founder
06 · Company updates
Recent articles published on Turbine's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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Linked research, clinical, and regulatory source pathways.
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