AI-Driven Material
Discovery Solutions

Augment your lab with the AI-powered platform from the pioneers
of Self-Driving Labs® to accelerate the discovery and optimization of novel materials, catalysts, and molecular systems.

Our code-free agentic platform enables the intelligent exploration of vast design spaces, with optional hardware and software integration for end-to-end automation, no AI or coding expertise required.
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Why Traditional Materials Discovery Needs Transformation

Traditional trial-and-error in materials and molecular discovery is time-consuming, resource-intensive, and often yields suboptimal results.
Bottlenecked by data analysis and experiment planning, teams rely on historical bias instead of unbiased AI-driven exploration – limiting the discovery of high-performing novel materials.
Integration bottlenecks, fragmented data, and reproducibility issues make it hard to leverage historical experiments, slowing the pace of discovery.

Our Solution to Materials Discovery and Innovation

Break free from R&D bottlenecks. Atinary SDLabs augments material scientists and R&D teams to accelerate discovery and process optimization using AI and Self-Driving Labs® technologies – without requiring coding or AI expertise.

Why Choose SDLabs?

Pain Point
Atinary’s Solution
Why It Matters
Manual trial-and-error exploration of vast compositional and structural design spaces
AI-Native Closed-Loop Optimization: Replace slow trial-and-error with AI-driven discovery that efficiently maps structure-property relationships across large design spaces
Discover novel, high-performing materials in a fraction of the experiments
Fragmented materials data across characterization instruments, ELNs, and databases
Centralized Data & Seamless Integration: Consolidate materials data and optionally integrate with characterization instruments, robotics, and ELNs
Build on historical discovery data and enable Self-Driving Labs® mode
Limited AI/ML expertise in materials science teams
Code-Free Agentic Platform: No coding or data science needed, designed for materials scientists
Any materials scientist can leverage advanced AI for discovery and optimization
High synthesis, characterization, and time costs per experiment
Efficient Optimization: Our algorithms navigate vast compositional spaces to find global optima with minimal experiments
Reduce synthesis and characterization costs, accelerate time to discovery
IP protection for novel materials and proprietary compositions
State-of-the-art Data Protection: SOC-2, HIPAA, and GDPR compliant, hosted on AWS
Your materials discovery IP stays yours

Impact and Applications

Formulation, Synthesis & Catalysis Optimization

Running DOE, OFAT, or iterative experiments in large parameter spaces? Atinary replaces slow human-driven trial-and-error with AI-driven R&D, including process chemistry and small molecule synthesis.
Explore More, Experiment Less

Efficiently screen large chemical spaces and find global optima with a fraction of experiments. Solve multi-parameter, multi-constraint, and multi-objective problems (yield, selectivity, cost, sustainability) faster than ever.
Reduce Development Time and Costs 5x to 100x

Accelerate R&D from years to months or weeks. Increase success rates, strengthen your product pipeline, and cut the cost of reaching global optima by more than 50%, compared to DOE and OFAT.
Digital R&D Across Locations

Working across multiple sites or teams? Atinary digitizes your R&D workflows, enabling remote collaboration, knowledge sharing, and institutional knowledge retention. Hosted on our partners at AWS.
Deploy AI in Under Two Hours

All tech developed in house by chemists for chemists plus top team of engineers and developers. No coding or AI expertise required. Superior UI and UX, onboard in less than two hours, using only a browser.

What Does this Mean for Materials Scientists
and Innovators?

Accelerate the discovery and optimization of novel materials, catalysts, and molecular systems with AI-driven experimentation, freeing your teams from repetitive manual tasks to focus on creative, high-impact research.
Augment materials scientists – from compositional screening to structure-property optimization – to design and execute multi-objective experiments using an intuitive, AI-native infrastructure.
Integrate and automate your entire lab ecosystem to ensure the highest reproducibility, data quality, and ROI across the organization.
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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.
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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.
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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.
Illustration of Atinary's SDLabs Platform, showcasing their closed loop automation process in detail.

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.
LIMS Compatibility
  • Instantly connect SDLabs with your Laboratory Information Management System (LIMS). All experiment data—conditions, results, metadata—is automatically captured and accessible in one secure, searchable hub. No more manual data transfers, lost files, or fragmented records.
  • Example: Chemists can retrieve or analyze any historical experiment in seconds, supporting audits, compliance, and faster innovation.
Robotics & Automation Hardware
  • Seamlessly link SDLabs to lab robots, liquid handlers, and reactors for a closed-loop, fully autonomous experimentation process.
Real-World Integrations
  • IBM’s RoboRXN/Chemspeed: AI algorithms in SDLabs send experiment designs directly to the robot; results are automatically fed back for instant re-optimization.
  • ETH Zurich Catalyst Optimization: Robotic platforms execute batches of 24 experiments; results sync with SDLabs for next-iteration planning—no manual intervention.
  • Oligonucleotide Synthesis: SDLabs supports integration with Chemspeed and Unchained Labs robots, streamlining complex workflows.
  • ViperLab Project: Robotic platforms, guided by SDLabs’ Falcon algorithm, optimize perovskite solar cell fabrication—demonstrating Atinary’s impact on advanced materials R&D.
Unified, ML-Ready Data
  • SDLabs eliminates information silos—every data point from every experiment is stored, organized, and ready for analysis or machine learning. This makes knowledge sharing across teams effortless and ensures robust, reproducible science.
Reproducibility & Audit Trails
  • Automatic, immutable logging of every experiment’s conditions, parameters, and results—critical for regulatory compliance and confident, repeatable discoveries.
No-Code to Pro-Code
  • While SDLabs empowers chemists with its no-code interface, advanced users and IT teams can leverage robust APIs and SDKs for custom integrations, automated workflows, or linking with legacy systems.
    • Academic researchers can access free tools like the Scientia API to connect their own data sources and accelerate collaboration.
Future-Proof Compatibility
  • SDLabs is designed to evolve with your lab—whether you’re adding new robotics, upgrading LIMS, or developing proprietary workflows.
Compliance-Ready
  • SDLabs is built with robust data security controls, including encryption, access management, and audit trails, supporting global privacy regulations (GDPR, CCPA, etc.).
IP Protection
  • Your proprietary formulations and research data is always encrypted.
Cloud Deployment
  • Flexible options to meet your IT and compliance requirements.

What it means:
Innovate with confidence—knowing your data, IP, and customer privacy are safeguarded at every step.

Ready to see how SDLabs can fit seamlessly into your lab ecosystem?

Testimonials

What they say about us

Two days of work in 10 minutes
“With Atinary SDLabs (+ robots and ACD Labs), I can set up my experiments in 5 minutes. This work used to take me 1 day with standard methods… In addition, visualizing and analyzing the results used to take me another day. Now I can do this in only 5 minutes with SDLabs’ data analytics module.”
Client at a large pharma company
From decades to weeks
“… To accelerate catalyst development, we can now combine artificial intelligence and robotics, rationalizing the screening of chemical space and increasing the throughput and reproducibility of the experimental data. This groundbreaking approach achieves in weeks what traditionally took decades…”
MIT
Atinary SDLabs is like the iPhone of R&D
“We used the Atinary SDLabs® platform to guide our simulations on MIT’s supercomputer and to seamlessly integrate my lab equipment to deploy AI‑driven autonomous experimentation. Remarkably, within a week, my team completed tasks that I originally estimated would take more than two years! Its user friendliness and capabilities make SDLabs® the iPhone of R&D.”
MIT
Making the impossible possible
“From first meeting to results in a few weeks. We would not have been able to solve this complex optimization project without Atinary. The ROI was infinite for us!”
Professor Buonassisi

Materials Science
Reduced catalyst loading by 30x and the cost contribution
“We are pleased to announce that we are collaborating with Atinary Technologies on leveraging their proprietary AI‑driven platforms in Firmenich R&D laboratories. Artificial intelligence, machine learning and the cutting‑edge digital technology behind self‑driving labs are providing new opportunities to speed and enhance our research and development. By combining Firmenich’s scientific expertise with Atinary’s Machine Learning algorithm, Falcon, and the SDLabs® software platform, we are accelerating process optimization towards industrialization of key ingredients.”
dsm‑firmenich
Increased yields by 18% and reduced cost by 22%
“SDLabs allows simultaneous optimization of all variables and accelerated identification of global optima. In just 3 months, SDLabs led to significant improvements, with an 18% increase in product yield and a 22% reduction in cost, compared to a previously optimized process.”
Snapdragon Chemistry
Increased yields from 50% to 90% in three iterations
“This partnership brings together our complementary expertise, paving the way for innovative AI solutions poised to transform pharmaceutical R&D and accelerate drug discovery. Through this collaboration, Takeda will leverage Atinary’s leading AI Self‑Driving Labs technology, which, combined with its expertise in R&D and drug discovery, aims to create a more robust and efficient drug development process, ultimately benefiting patients worldwide.”
Takeda
Superior product and AI roadmap
“SDLabs significantly outperformed open-source packages and commercial alternatives we evaluated. It enabled us to efficiently explore a large and complex design space with remarkably few experiments. The technical support and AI roadmap are also impressive—clearly designed with the needs of researchers in mind.”
Client at a leading chemical company
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Building the Labs of Tomorrow
“JAG Group and Atinary Technologies offer a unique turnkey solution that combines our expertise in robotics, automation, and artificial intelligence to transform R&D and scientific discoveries with the Self‑Driving Labs® technology. We are laying the foundation today for the smart factories and the labs of the future.”
The Smart Way to Scale R&D
“We are very impressed with the Atinary team, technology and efficiency. Overall, this pilot project demonstrates that SDLabs® accelerates solar perovskite R&D and process optimization. It reduces the time and costs to find optimal process parameters, and increases productivity, competitiveness and return on investment.”
Dr. Toby Meyer, Solaronix CEO

Customer Stories

  • All
  • Pharma
  • Cosmetics and Fragrances
  • CDMO
  • Biotech
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Frequently Asked Questions