Streamline your Preclinical

Scientific innovation is accelerating—but so is complexity. From gene and cell therapies to highly personalized medicines, today’s research & preclinical organizations must manage more modalities, more data, and more pressure to move faster while maintaining quality and compliance.

Preclinical research is facing many unique challenges in the current market:

Rising complexity of novel therapies such as gene therapies, CAR-T, and personalized medicines.
Rapid technology advancement, including in silico modeling, organ-on-a-chip, and 3D cell culture systems.
Mandates to reduce cost and accelerate timelines without compromising scientific rigor or regulatory expectations.

Helping Life Science Discover Faster

Modern research relies in innovation, technology, and people to drive discovery faster.

How We Help

We help preclinical operations & research select, build, and run solutions that deliver immediate value and enable workers to discover breakthroughs faster.

Plan

Strategic Roadmap (People, Process, Technology)
Data Assessment
Solution Design & Selection

Build and Maintain

Data Clean Up & Harmonization
Solution Implementation/Development
Project/Program Management
Organizational Change Management

Run

Ongoing Organizational Change Management (ensure adoption)
Solution Managed Services (Optimize and maintain)

Trends We Focus On

Astrix Helps you Respond to Key Issues

Digital Transformation & Data as an Asset

Digital records, searchable information & connected systems to support
- Increasingly complex experimental designs and analysis
- Solutions supporting multiple modalities (e.g., biologics, personalized medicine, small molecules, etc.)
- Generating meaningful insights from data
Enterprise Laboratory data – Next-Gen Data Lakes (internal & external data)

AI/ML & Intelligent Workflow Automation

NLP: capture of information into LIMS, ELN, Animal/Vivarium Records, etc.
NLG: report creation
Augmented reality and immersive technology (headsets and haptics): virtual interaction with computer simulations and information to plan/optimize experiments and capture data in the lab
Predictive Analytics and simulation: determine & optimize dose, safety, and efficacy of drug candidates
Automate physical sample/material handling (sample prep through data analysis)
Automate both human and machine processes

Data Integrity & Interoperability