AI-Driven Biotech R&D
Augment your lab with the AI platform from the pioneers
of Self-Driving Labs® to accelerate cell media optimization, biocatalyst screening,
and fermentation process development.
Our code-free agentic platform, SDLabs, intelligently designs experiments and optionally integrates with your existing hardware and software for end-to-end automation.
of Self-Driving Labs® to accelerate cell media optimization, biocatalyst screening,
and fermentation process development.
Our code-free agentic platform, SDLabs, intelligently designs experiments and optionally integrates with your existing hardware and software for end-to-end automation.
Why Traditional Biotech R&D Needs Transformation
Traditional trial-and-error in cell media optimization, biocatalyst screening, and fermentation development is slow, costly, and resource-intensive.
Bottlenecked by data analysis and experiment planning, teams rely on historical bias instead of unbiased AI-driven exploration, slowing strain engineering and bioprocess optimization.
Data silos and reproducibility issues make it hard to leverage historical experiments, slowing progress and increasing costs.
Our Solution to Biotech R&D Optimization and Innovation
Break free from bottlenecks in cell media optimization, biocatalyst screening and fermentation process development. Atinary’s code-free agentic platform, SDLabs, augments biotech R&D teams to plan, optimize, and accelerate workflows without coding expertise.

Why Choose SDLabs?
Pain Point
Atinary’s Solution
Why It Matters
Manual synthesis route optimization, catalyst screening, and reaction condition development through trial-and-error
AI-Native Closed-Loop Optimization: Replace DoE and OFAT with AI-driven optimization to accelerate synthesis, catalysis, and scale-up with fewer experiments
Faster bench-to-process timelines, reduced reagent and solvent consumption
Siloed data across ELNs, LIMS, and lab notebooks
Centralized Data & Seamless Integration: Connect your chemistry data and optionally integrate with robotics, LIMS, and ELNs
Unlock historical experiment value and enable Self-Driving Labs® mode
Limited AI/ML expertise in chemistry teams
Code-Free Agentic Platform: No coding or ML knowledge needed, designed for chemists
Any chemist can leverage advanced AI-driven experiment design
High reagent, solvent, and time consumption across R&D projects
Efficient Optimization: Our ML algorithms find global optima across vast chemical spaces in a fraction of the experiments
More purposeful R&D, significantly reduced material waste and costs
IP protection for proprietary chemistry and processes
State-of-the-art Data Protection: SOC-2 compliant, hosted on AWS
Your chemistry IP stays yours
Impact and Applications
What Does This Mean for Biotech R&D Leaders?

For R&D Directors
- Accelerate innovation cycles and time-to-market with AI-driven optimization.
- Run DMTA-L closed loops where expert interaction guides automated discovery and reduce trials.
- Converge on optimal chemistry and processes faster with AI-native, reproducible data capture.

For Hands-On Scientists
- Code-free and agentic workflows to design and optimize experiments in minutes.
- Explore and exploit your complex experimental design space more effectively.
- Focus on science, imagination, and ingenuity by using AI tools that integrate seamlessly with your existing manual or automated workflows.

For IT/Compliance
- Enable Self-Driving Labs® mode through API integration to data sources, robotics and existing hardware.
- Safeguard proprietary data and IP with state-of-the-art security standards, hosted on AWS.

Connect Every Part of Your Lab—From Data to Devices
Atinary’s SDLabs platform is purpose-built to unify your entire R&D workflow, breaking down data silos and
enabling a truly digital, automated, and collaborative laboratory.
enabling a truly digital, automated, and collaborative laboratory.
Ready to see how SDLabs can fit seamlessly into your lab ecosystem?
Testimonials
What they say about us
Customer Stories
- All
- Pharma
- Cosmetics and Fragrances
- CDMO
- Biotech
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