Join our webinar “Generative chemistry at scale: practical lessons from Quantori & Nebius” on July 9.

We will focus on the technical design of the workflow and the cloud-native practices that made large-scale experimentation affordable, reproducible and fast.

You will see a complete, real-world blueprint for deploying generative chemistry solutions in drug-discovery teams.

Meet the speakers:
🔵Artem Elmuratov, Head of Life Sciences and Healthcare at Nebius
🔴Yuriy Gankin, PhD, Chief Scientific Officer at Quantori
🟡Denis Sapegin, PhD, Principal Cheminformatics Engineer at Quantori

Visit Nebius’ website to sign up.

Recently, Artem Khozyainov took part in an open meeting with the members of the UATE.

He shared his interpretation of well-known concepts based on his experience:

🔵An inner resource includes mental, emotional, and physical energy. This energy directly impacts decision-making, communication, leadership quality, and strategic thinking

🔴Each person has an internal battery and operates at different energy levels, from survival (0–15%) to visionary leadership (80–100%). Strategic leadership starts from 50–60%+ energy

🟡You can measure your resources using Heart Rate Variability (HRV) Model with various apps (Artem, for example, uses Welltory)

🔵The following things drain your energy: unrealistic expectations, overthinking, comparison, neglecting core values and needs

🔴How to increase the energy level of your inner battery: do meaningful work and celebrate small wins, enjoy the process, flow state is energy-giving, live with a goal – regularly review and align your direction, strengthen your physical foundations, find time for yourself and try help others

🟡Manage your energy like a business system: implement healthy habits, focus on who you want to become, schedule time for restoration and self-care, do weekly/monthly energy check-ins

Energy is not a mood, self-care is not selfish, it’s strategic  
If you don’t manage your battery, you can’t manage your strategy. Take care of your mental and physical well-being. It isn’t a luxury but a long-term investment.

New Blog Post ✨

In biotech, even well-created graphs can confuse, mislead, or cause critical decisions to go off track. Scientific data is powerful, but only if it’s communicated clearly.

In our latest blog post by Alisa Vershinina, PhD, we break down the three pillars of effective data communication, Integrity, Clarity, and Accessibility, complete with real-world examples and visual dos and don'ts.

Read the full post on our website to discover how small changes in your data visuals can lead to big improvements in understanding scientific data.

Generative Chemistry at Scale
🔴Webinar Recording and
🔵Demo Link
 
Thank you to everyone who joined our session on Generative Chemistry at Scale, hosted by Quantori’s Yuriy Gankin, PhD, Denis Sapegin, PhD, and Nebius’ Artem Elmuratov.
 
🔴If you missed the webinar or would like to revisit the insights, the recording and slides are now available on our website.🔴
 
We are also excited to share a hands-on demo of the ML Conformer Generator, a tool developed to support shape-constrained molecule generation using Equivariant Diffusion Models and Graph Convolutional Networks.

Whether you are optimizing molecular geometry or exploring new chemical spaces, our model enables the generation of 3D conformers that are spatially aligned with your target structures with precision and efficiency.

🔵Try the demo here.🔵

✨Quantori turns 7️⃣!

🔵Over the years, we have grown and taken on exciting new challenges.
This milestone is a celebration of our amazing team, partners, and the journey ahead.

🔴Thank you, Quantori Team, for your talent, passion, and dedication.

🟡Read what our CEO, Richard Golob, has to say about this special occasion in the picture above.

Recording Available: AI-Enabled R&D Webinar

On August 28, Quantori hosted the webinar “AI-Enabled R&D: Building Workflows and Pipelines with Agentic AI” with Yuriy Gankin, Chief Scientific Officer, and Alisa Vershinina, Senior Scientist and Business Analyst.

The session explored how multi-agent AI is transforming Pharma R&D:  from target identification to clinical trials,  and included a live demo of our platform in action.

Key highlights included:
🔵Overcoming data silos and accelerating discovery
🔴Building transparent and scalable AI workflows
🟡Real-world scientific and business use cases
🔵Live demonstration of multi-agent AI in practice

Watch the full webinar recording here.
Download the presentation slides here.

We invite you to explore how Quantori’s AI-driven solutions can help streamline your R&D workflows and unlock new scientific insights. Stay tuned for more webinar announcements.

Quantori ✨ team was excited to be part of the 10th BioTechX event, connecting with partners, colleagues, and fellow innovators.

On the first day, Yuriy Gankin, PhD (CSO) and Artem Terentyuk (Director of Data Science) presented: “Q-Scientist: AI Platform for Life Science R&D.”

Highlights from the talk:
🔵How Q-Scientist, our full-featured AI platform, enhances operational efficiency and enterprise value while reducing deployment costs
🔴A deep dive into customizable agent-based workflows: spanning drug repurposing, biomarker discovery, and rare disease diagnostics
🟡Introduction to our Life Science LLM Library for genomics, proteomics, antibodies, and drug discovery
🔵Integration with public biomedical datasets (TCGA, ClinVar, ChEMBL, PRIDE, and more) for scalable, compliant R&D
🔴Demonstration of the Multi-Agent Flow Builder, enabling intuitive drag-and-drop creation and deployment of AI-powered workflows
🟡Overview of our AI Agents Validation Frameworks, ensuring robust and transparent scientific automation

🔗View the slides on our website.

New Research

🔵Congratulations to our valued partner Steve Labkoff, MD, on the publication of “Towards responsible artificial intelligence in healthcare — getting real about real-world data and evidence,” which explores how real-world data can be responsibly used in AI applications for healthcare.

🔴The paper highlights key challenges, including transparency, safety, bias, ethics, and accountability, and proposes practical recommendations to support trustworthy and effective AI solutions.

🟡Kudos to Steven and all co-authors for advancing responsible AI in healthcare.

🔗Explore the publication here.

This month, we hosted Quantori Connect 3️⃣ roundtable, which brought together pharma and tech experts to discuss scaling and applying AI across R&D.

Speakers from Takeda and Merck shared their insights, read more on our website.

Sign up for the Applied Python course made by NPUA and Quantori Academy!

Learn Python fundamentals with web development, AWS, data engineering, and a capstone project in cheminformatics. The course is designed to prepare you for immediate roles in IT, biotech, and life sciences. Graduate with career-ready expertise.

🔵Format: 8 months, lectures + 70% hands-on practice 
🔴Certificate: Joint certificate from NPUA and Quantori Academy
🟡Requirements: B2 level English

Learn more and apply here to secure your place!