/ USe cases
Flexible CRM for Modern B2B Teams Across Industries
Flowis is built to support the unique sales cycles, team structures, and data needs of high-growth SaaS companies, agencies, service providers, and more
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/ Industry
Multi-modal Data Engineering
Creates a backbone that allows people across the organization to access, explore, and interpret their data in real workflows
Challenge
Manual processes and siloed systems make coordination between sales and ops painful.
Solution
Flowis gives reps visibility into supply chain factors and automates lead handoffs to production.
Key Result
42%
fewer internal handoff delays
/ metrics
Systems that deliver real impact.
With BioBox, biopharma teams don’t just manage data, they multiply their scientific output.
Time recovered for translational scientists:
32%
Scientists and decision makers save 5-10 hours every week across tasks in preclinical R&D.
Hypothesis testing throughput increased by:
Up to 100x
Using graph models built to reason like human experts, R&D teams are able to prosecute massive amounts of hypotheses per unit time.
< 3 weeks
to full team onboarding
100%
customer ownership of data
24/7
support and uptime monitoring
99.8% uptime
platform reliability and performance
/ testimonials
Real World Impact.
/ 01
BioBox has had a significant impact on our target identification process and overall research outcomes. It has provided us with clear, actionable insights [...] enhanced our ability to make data-driven decisions, ultimately accelerating our research and improving the quality of our findings.
Ryan Harty
Data Scientist, Sante Health
/ 02
[Prior to BioBox] our target prioritization efforts were very manual. BioBox has enabled a level of automation we did not imagine would be possible. We are narrowing in on specific targets and gaining a deeper knowledge and appreciation of our datasets.
Dr. Ken Hsu
CSO, Stealth Biotech
/ 03
Other vendors re-sell the same knowledge graph and rarely had meaningful impact on our research. BioBox is the only one that enabled us to design our graph from scratch to incorporate our unique scientific angle. Finally, a platform that makes knowledge graphs actually useful in drug discovery.
Senior Director, Research Informatics
Top 20 Pharma
/ 04
Integrating across all our experimental data modalities and ontologies created an unrivaled exploration canvas for discovery. Being able to work with the knowledge graph interactively enabled our research units to uncover insights that helped us eliminate targets from our pipeline.
SVP, Discovery
Top 100 Pharma
/ 05
We are able to connect of our internal data sources together into one cohesive resource that everyone on the team can access and use. It has fundamentally changed the way we make scientific decisions.
Senior Director, Data Science
Top 20 Pharma
