AI-Driven Pharmaceutical
R&D Solutions

Accelerate discovery and development with AI-driven R&D: explore complex experimental combinations, optimize workflows, and bring innovation to market faster—no coding or AI expertise required.
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Pharma R&D Is Ready for Reinvention

Manual, trial-and-error experimentation leads to long project cycles and increased costs, slowing the discovery and optimization of drug candidates
Siloed data and lack of integration make it difficult to automate, scale, or extract actionable insights from historical experiments.
Most AI platforms are too complex for non-experts, creating a significant barrier for scientists who want to easily and quickly deploy them in their daily workflows.

Our Solution to Pharma R&D Optimization

Break free from R&D bottlenecks with SDLabs, your AI-powered engine for faster, smarter pharmaceutical innovation.
 Atinary SDLabs transforms traditional experimentation by empowering scientists to automate, optimize, and accelerate the
discovery, pre-clinical, and early development phases of pharmaceutical R&D. No coding or AI expertise required.

Why Choose SDLabs?

Pain Points
Atinary Solution
Why It Matters
Manual, slow, trial-and-error workflows
AI-Driven Optimization: Replace traditional methods like DOE and OFAT with AI-driven, closed-loop optimization, allowing you to explore and discover more with fewer experiments
Accelerates discovery, helping teams optimize drug candidates and preclinical research with fewer experiments, cutting project timelines and costs
Siloed data, hard-to-integrate lab systems
Centralized data and workflows: Data management & seamless integration with LIMS, ELN, and robotic platforms
Centralize lab data, unlock data-driven insights and option to integrate with automated platforms to enable self-driving labs mode
Limited access to AI/data science resources
No-code AI tools for experiment design & optimization
Any scientist can leverage advanced ML without coding
High resource and material consumption, and time
Efficient Optimization:
Our ML algorithms accelerate R&D to identify global optima among millions, sometimes billions of possibilities in a fraction of the time and cost compared to traditional R&D methods.
Ensures every experiment is data-informed and purposeful, making your R&D process more efficient and drastically reducing material consumption and waste and costs
Compliance and data security concerns
State-of-the-art Data and Privacy Protection: SOC-2, HIPAA, and GDPR compliant, hosted on AWS.
Protect sensitive IP and ensures your data stays your
Poor reproducibility in R&D
Consistent Workflows: Automated workflows ensure consistent, repeatable results
Boost scientific rigor and reproducibility
Struggles with optimizing multi-parameter and multi-objective problems
Advanced ML Algorithms: Our proprietary algorithms are designed to allow for constrained optimization
Solve more complex R&D challenges with greater efficiency and fewer experiments
Core Innovations

What Sets Us Apart

Scientists, chemists, and researchers in pharma, biotech, cosmetics, flavors and fragrances, materials science, and chemistry.
R&D, innovation, and process teams seeking digital transformation and looking to move beyond manual, trial-and-error experimentation.
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What Does This Mean for Pharma R&D Leaders?

Dramatically accelerate drug discovery, formulation development, and process optimization with AI-driven experimentation,freeing your teams from repetitive manual tasks.
Enable every bench scientist to design, execute, and analyze multi-parameter, multi-objective experiments using intuitive, no-code AI tools.
Integrate and automate your entire lab ecosystem for maximum efficiency, reproducibility, and data-driven decision-making.
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For R&D Directors

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For Hands-On Scientists

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For IT/Compliance

How It Works

AI-Driven Closed Loop

02 AI DECISIONS
ML decides next
iterations of experiments

01 DESIGN EXPERIMENT

Multi-objective optimization
Incl. categorical variables
Add experimental constraints

05 AI/ML TRAINING

Re-train ML model with new data, go back to step 2

03 RUN EXPERIMENTS

Synthesis, Catalysis, Formulation,
and more..
With or without robots
Or in simulation

04 DATA ANALYTICS

Data Analytics
Reports
Understand, explain and exploit the data

01 DESIGN EXPERIMENT

Multi-objective optimization
Incl. categorical variables
Add experimental constraints

02 AI DECISIONS

ML decides next iterations of experiments

03 RUN EXPERIMENTS

Synthesis – Catalysis – Formulation
With or without robots
Or in simulation

04 DIGITAL LIBRARIES

Build high-quality, ML-ready datasets
Visualize results
Create reports
Extract insights

05 DATA ANALYTICS

Data analytics
Reports
Understand, explain and exploit the data

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

“… 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…”
“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.”
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“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
MIT
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.”

Customer Stories

  • All
  • Pharma
  • Cosmetics and Fragrances
  • CDMO
  • Biotech
See More

Frequently Asked Questions