Software and AI companies at ACT 2026

Nov 15–18, 2026 San Antonio, TX ~1.4k attendees Website

18 software and AI companies are at ACT 2026 — 29 presentations on the program and 9 with a booth in the exhibit hall. Most represented: Human Chemical (3 on the program), Schrödinger (2 on the program), Certara (1 on the program). 13 of them have their own page in this guide. As of Oct 8, 2026.

All 231 organizations at ACT 2026 →

Topic
Top represented
Showing 1–14 of 18 organizations
OrganizationACT 2026 Attendance
Software and AI companies
Builds specialized AI agents for toxicology and regulatory work: in silico hazard prediction, PBPK modeling and drafting regulatory documents.
Session
Sun Nov 15
8:00am–11:30am
From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology (CE2)
In silico and AI · with Boehringer Ingelheim
  1. 8:00amWelcome and Course Overview (CE2-1)Human Chemical
  2. 8:05amAgentic AI 101: A Primer for Drug Discovery and Development Toxicologists (CE2-2)Taiho Oncology
  3. 8:30amAgentic AI Frameworks for Predictive Toxicology-Based Literature Searches (CE2-3)Coincidence Labs
  4. 9:00amSynthesizing Experimental Results and In-Silico Predictions for Autonomous Hypothesis Generation (CE2-4)Human Chemical
  5. 10:00amLeveraging Agentic AI to Reassess and Optimize Previously Failed Compounds (CE2-5)Ignota Labs
  6. 10:30amChemistry Foundation Models for Optimal Drug Design (CE2-6)deepmirror
Talk
Sun Nov 15
8:00am–8:05am
Part of From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology (CE2)
Welcome and Course Overview (CE2-1)
In silico and AI
Talk
Sun Nov 15
9:00am–9:30am
Part of From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology (CE2)
Synthesizing Experimental Results and In-Silico Predictions for Autonomous Hypothesis Generation (CE2-4)
In silico and AI
Talk
Mon Nov 16
9:50am–10:15am
Part of The Role of Professional Judgment in Toxicology amidst the Rise of Artificial Intelligence and Computational Tools (S02)
When AI Gets It Wrong: Interpreting Predictive Models from Omics and High-Content Data (S02-4)
In silico and AI
Talk
Tue Nov 17
9:05am–9:30am
Part of Next-Generation Liver Toxicity Assessment: Integrating Human-Relevant NAMs, AI, and Exposure Modeling (S07)
An Integrated NAM Platform Combining Bioactivity Prediction with PBPK and Literature Intelligence for Chemical Liver Toxicity Assessment (S07-2)
New approach methods · In silico and AI
Schrödinger
New York, NY
Software and AI companies
Computational chemistry software company that also develops its own drugs; presents physics-based genotoxicity screening and preclinical toxicity work.
Poster
Mon Nov 16
5:00pm–6:30pm
Physics-Based, Molecular Dynamics Screening as a Tier-1 Filter for DNA Minor Groove Binding Genotoxicity (P432)
Nelson Exhibit Ballroom · Poster P432
Genetic toxicology · In silico and AI
Poster
Mon Nov 16
5:00pm–6:30pm
Preclinical Toxicity Assessment and Dosing Schedule Optimization of SGR-2921, a Small Molecule Inhibitor of CDC7 (P433)
Nelson Exhibit Ballroom · Poster P433
Translational safety
Certara
Radnor, PA
Software and AI companies
Biosimulation software and services company; for nonclinical teams it offers SEND data tools such as SEND Explorer.
Booth
Exhibiting at Booth 719
Mon, Nov 169:30am–6:30pmTue, Nov 178:00am–4:30pm
Session
Mon Nov 16
9:00am–12:00pm
The Role of Professional Judgment in Toxicology amidst the Rise of Artificial Intelligence and Computational Tools (S02)
In silico and AI · with National Institutes of Health
  1. 9:00amIntroduction (S02-1)National Institutes of Health
  2. 9:05amEnhancing Toxicological Literature Review through AI and Expert Insight (S02-2)ToxStrategies
  3. 9:25amNo Spreadsheet Left Unharmonized: A Human-in-the-Loop Framework for AI-Assisted Toxicology Data Extraction and Standardization (S02-3)Certara
  4. 9:50amWhen AI Gets It Wrong: Interpreting Predictive Models from Omics and High-Content Data (S02-4)Human Chemical
  5. 10:45amChemical Similarity in Practice: Navigating Endpoint-Agnostic and Endpoint-Specific Approaches (S02-5)National Institutes of Health
  6. 11:15amIntegrating Artificial Intelligence and Professional Expertise in Structure-Activity Assessments (S02-6)Inductive Bio
Talk
Mon Nov 16
9:25am–9:50am
Part of The Role of Professional Judgment in Toxicology amidst the Rise of Artificial Intelligence and Computational Tools (S02)
No Spreadsheet Left Unharmonized: A Human-in-the-Loop Framework for AI-Assisted Toxicology Data Extraction and Standardization (S02-3)
In silico and AI · Study data
Talk
Mon Nov 16
2:30pm–2:55pm
Part of Safety and Regulatory Roadmap for Immune Engagers: Strategies to Translate Novel Modalities (S05)
Translating NAMs to First-in-Human Dose Selection and Regulatory Acceptance (S05-3)
Translational safety · New approach methods
Talk
Tue Nov 17
8:00am–8:55am
Instem
Boston, MA
◆Gold Supporter
Software and AI companiesGold Supporter
Software and services for preclinical study management, SEND data creation and review, and in silico safety prediction.
Booth
Exhibiting at Booth 407
Mon, Nov 169:30am–6:30pmTue, Nov 178:00am–4:30pm
Talk
Sun Nov 15
12:00pm–12:55pm
Not Necessarily Validated: What Makes NAM Data Reviewable
Grand Oaks Ballroom Q
New approach methods · Regulatory
Talk
Tue Nov 17
2:40pm–3:15pm
Part of Safety Assessment of Extractables and Leachables under the New ICH Q3E Guideline (S11)
Assessing the Data Landscape of Extractables and Leachables and Implications for Read Across Strategies (S11-3)
Chemical risk assessment · In silico and AI
MultiCASE
Mayfield Heights, OH
Software and AI companies
Computational toxicology software and consulting for QSAR predictions, including ICH M7 assessments of drug impurities and REACH chemical evaluations.
Booth
Exhibiting at Booth 410
Mon, Nov 169:30am–6:30pmTue, Nov 178:00am–4:30pm
Poster
Mon Nov 16
5:00pm–6:30pm
Identifying Undetected Genotoxic Potential in Ames-Negative Compounds: A Statistical QSAR Model Coupled with Mechanism-Based Expert Rules (P519)
Nelson Exhibit Ballroom · Poster P519
Genetic toxicology · In silico and AI
Talk
Tue Nov 17
12:00pm–12:55pm
ESQlabs
Saterland, Germany
Software and AI companies
German modeling firm offering consulting, software and training in PBPK and systems pharmacology models, plus chemical risk assessment.
Poster
Mon Nov 16
5:00pm–6:30pm
Extending a PBK-QST Platform for Mechanism-Dependent Thyroid Hormone Disruption across Chemicals and Species (P208)
Nelson Exhibit Ballroom · Poster P208
In silico and AI · Chemical risk assessment
Talk
Tue Nov 17
10:45am–11:05am
Part of Next-Generation Liver Toxicity Assessment: Integrating Human-Relevant NAMs, AI, and Exposure Modeling (S07)
From Exposure Dynamics to Uncertainty: A Hybrid Framework for Drug-Induced Liver Injury Prediction (S07-5)
In silico and AI · New approach methods
Sciome
Research Triangle Park, NC
Software and AI companies
Research software and data science company building computational toxicology, QSAR and AI tools, including automated toxicity and property prediction.
Talk
Sun Nov 15
2:00pm–2:30pm
Part of Quantitative Structure–Activity Relationship Demystified: Foundations, Best Practices, Regulatory Use, and Practical Applications (CE8)
Integrating QSAR Modeling and Weight-of-Evidence into Read-Across Frameworks (CE8-4)
In silico and AI
Poster
Mon Nov 16
5:00pm–6:30pm
AxiomBio
San Francisco, CA
Software and AI companies
Builds AI models that predict drug toxicity, including liver injury, from human cell data instead of animal studies.
Booth
Exhibiting at Booth 110
Mon, Nov 169:30am–6:30pmTue, Nov 178:00am–4:30pm
Poster
Mon Nov 16
5:00pm–6:30pm
Sable Bio
London, UK
Software and AI companies
London software company whose Sable Target Intelligence platform assesses target-driven safety risk by integrating genetic, clinical, model and literature evidence.
Booth
Exhibiting at Booth 612
Mon, Nov 169:30am–6:30pmTue, Nov 178:00am–4:30pm
Poster
Mon Nov 16
5:00pm–6:30pm
Software and AI companies
Builds AI agent systems for pharma that connect a company's existing data to automate work such as regulatory documentation.
Talk
Sun Nov 15
8:30am–9:00am
Part of From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology (CE2)
Agentic AI Frameworks for Predictive Toxicology-Based Literature Searches (CE2-3)
In silico and AI
Software and AI companies
AI drug-design company whose platform helps chemists generate and prioritize small molecules with better ADMET, PK and potency profiles.
Talk
Sun Nov 15
10:30am–11:00am
Part of From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology (CE2)
Chemistry Foundation Models for Optimal Drug Design (CE2-6)
In silico and AI
F
FlashPath
Software and AI companies
Company presenting a data-driven analysis of which preclinical toxicity findings predict adverse events in people.
Poster
Mon Nov 16
5:00pm–6:30pm
Data-Driven Preclinical Toxicity Syndromes Reveal Which Animal Findings Translate to Human Adverse Events (P412)
Nelson Exhibit Ballroom · Poster P412
Translational safety · Study data
Software and AI companies
AI drug-discovery company that embeds in drug programs, combining predictive models, lab robotics and chemists to design preclinical experiments.
Talk
Mon Nov 16
11:15am–11:45am
Part of The Role of Professional Judgment in Toxicology amidst the Rise of Artificial Intelligence and Computational Tools (S02)
Integrating Artificial Intelligence and Professional Expertise in Structure-Activity Assessments (S02-6)
In silico and AI
Software and AI companies
AI and machine learning firm offering life science data analysis, biomarker discovery and carcinogenicity risk assessment software and services.
Poster
Mon Nov 16
5:00pm–6:30pm
Accelerating Immunotherapy Development with Multi-Target-Driven Safety Evaluation (P507)
Nelson Exhibit Ballroom · Poster P507
Immunotoxicology

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Exhibit hall

Not affiliated with or endorsed by the American College of Toxicology (ACT). Organization details are derived from ACT’s published program, exhibitor floor plan and supporter list, and each organization’s own website. Submit a correction