
Outcomes
About Genesis Molecular AI
Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company’s generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets.
Genesis operates with integrated teams where machine learning scientists work alongside drug discovery experts. Erica Bradshaw, Vice President of Non-Clinical Development at Genesis, leads the team supporting ADME (Absorption, Distribution, Metabolism, and Excretion), toxicology, and pre-formulation efforts. Her team generates significant amounts of data through external CROs that feeds both their drug discovery programs and helps improve their predictive ML models.
The Challenge:
Managing High-Throughput CRO Requests at Scale
Genesis works with multiple CROs to generate the experimental data needed to train their models and advance drug discovery programs. With the majority of their ADME, PK, and toxicology data coming from external partners, managing these relationships efficiently is critical. When Erica joined Genesis, the company was managing CRO requests in the way that the industry is historically used to: entirely through emails and Excel spreadsheets stored in Box folders, a process that can be time consuming and overwhelming.
As Genesis scaled to managing a multitude of different assays across their growing compound library and programs, the limitations of their current approach became clear. Erica recognized they needed a more robust solution to support their growth.
Erica's team was spending significant time on operational coordination: monitoring email threads for experiment updates, searching through Box folders for historical data, manually tracking request statuses across multiple spreadsheets. For a team generating data to power AI-driven drug discovery, this wasn't the highest-value use of their expertise.
When team members needed historical data to inform modeling decisions, troubleshoot unexpected results, or understand experimental context, they had to invest time searching across systems. CRO files in Box were labeled with dates, but there was no way to search by compound ID in Box. Finding data for a specific compound meant remembering when the experiment was requested, then manually opening multiple Excel files.
As Genesis expanded their research and advanced programs, Erica saw an opportunity to be proactive rather than reactive. Rather than waiting until the old system became a prohibitive bottleneck, she began evaluating solutions that would position the team for their next stage of growth.
The goal was clear: redirect time from administrative coordination to scientific decision-making.
The Solution:
Strategic Implementation of Kaleidoscope
After evaluating several tools and custom build options, Erica chose Kaleidoscope for its ability to centralize CRO operations out of the box while integrating seamlessly with Genesis's existing infrastructure, particularly their CDD chemistry database. Equally important was Kaleidoscope's collaborative approach. The team demonstrated a willingness to adapt the platform to meet Genesis's specific needs, offering the flexibility of a custom solution with the reliability of an established product.
Getting CRO partners onboarded required just one conversation each. Genesis ran a brief two-week overlap period to ensure a smooth transition, demonstrating the kind of thoughtful change management that maintains strong partnerships.
Since CROs receive email notifications for any updates or requests, partners can continue working within their existing processes. Each CRO chooses whether to become an in-app user or manage everything through email alerts, flexibility that Genesis's partners value.
Genesis configured Kaleidoscope to import compound IDs directly from their chemistry database (CDD), maintaining CDD as their single source of truth. The system validates compound IDs during the request process and updates CDD via API once data is entered, creating an integrated workflow across their technology stack.
The transformation in daily operations was immediate. Instead of searching through email threads or folders organized by date, team members can now search by compound ID and instantly see:
- Every experiment requested for that compound
- Current status of ongoing studies
- Raw data files
- Complete communication history with context
In-app communication means that important observations - formulation considerations, dosing notes, experimental nuances - stay connected to the study data permanently. For PK studies, where understanding what happened during formulation or dosing can be critical to interpreting results, this connected context improves both current decision-making and future experimental design.
When Erica needs to model data or analyze results, she has the complete picture in one place: the communications, the PK profiles, and access to raw data files.
By centralizing CRO management within Kaleidoscope, Genesis achieved at least a 30% reduction in time spent on: searching emails for experiment updates, navigating folders to find historical data, manually tracking request statuses, coordinating across spreadsheets, and reviewing and uploading data.
This isn't just about efficiency, it's about redirecting talented scientists' time toward higher-value activities.
The Results:
Positioned for Growth
The implementation of Kaleidoscope represents the kind of strategic thinking that positions Genesis for their next phase. By proactively addressing operational workflows before they became constraints, Erica's team created infrastructure that scales with their ambitions.
With streamlined CRO operations that maintain data quality and institutional knowledge, they're advancing toward that goal with the operational foundation to support continued growth.
The decision to optimize their CRO management workflows wasn't just about solving today's challenges, it was about building the infrastructure for tomorrow's success.

CSO and Co-founder

Co-founder, VP Operations

Head of Data Science & ML

Co-founder and CTO

Platform Tx company with multi-asset pipeline

Early stage small molecule therapeutics company

Chief of Staff


