AI to Accelerate Scientific Work for Chemistry Teams
Library Synthesis Software with AI-Assisted Chemistry
Focused AI capabilities designed to enhance how science gets done — not just automate tasks.
Boston, MA
Feb 7-11
Practical AI for Chemistry Teams
We apply AI to specific scientific workflows where it can accelerate insight and decision-making.
Modular foundation for synthesis planning and execution that brings workflows into one integrated view and works across disjointed data, tools, and systems.
Literature-aware reasoning and synthesis exploration that brings prior work, context, and scientific signals into planning and decision-making.
Coordinated execution and analysis across parallel reactions,
supporting consistency, safety, and
informed adjustments.
Synth⁺ is our modular foundation for synthesis planning and execution.
Teams use Synth⁺ to:
- Bring synthesis workflows into one integrated view
- Work across disjointed data, tools, and systems
- Produce validation-ready, traceable outputs
AI-assisted capabilities can be layered on top of Synth⁺ when useful, but they are not required. Many teams start with a non-AI version and add assistance incrementally as needs evolve.
What You'll See at Booth 1445
At SLAS, we're demonstrating working software and AI-assisted workflows, shown through guided walkthroughs and interactive conversations.
Examples include:
- Library synthesis and synthesis planning
- Protocol design and refinement
- Reaction optimization and experimental planning
- Safety analysis and reactivity assessment
- Literature review and deep research
- Context-aware decision support using historical experiments and data
We're just as interested in hearing about your workflows and challenges as we are in showing what we've built.
How We Help Teams Apply AI (When It Makes Sense)
Our approach is practical and human-centered:
Start with existing workflows
Identify cognitive work (reading, reasoning, planning, deciding)
Apply the right AI support for each task
Keep scientists in control with transparent, reviewable outputs
This allows teams to apply AI meaningfully without disrupting trust, quality, or established processes.
Short Course at SLAS 2026
From Modular Design to AI Agents:
How to Identify, Design, and Prototype AI for Lab Automation
Saturday, February 7 | 1:00–4:30 PM
This short course is designed for teams who want to move beyond buzzwords and understand how AI agents can be applied in real lab environments.
Participants will learn:
- How to identify high-value workflows for AI assistance
- How to break work into agent-ready tasks
- How to prototype AI agents and POCs
- How to think about validation, security, and adoption beyond pilots
If these topics resonate with challenges your team is facing, we welcome follow-up conversations after the course to explore how these ideas could apply in your environment.
Let's Talk
Have a workflow, challenge, or idea you want to explore? We'd love to hear how your team works today.