WELCOME TO BIOCOLLATE
Empowering the
next generation
of biotechnology
Our Mission
According to a landmark study conducted in 2014, over 50% of scientists cannot reproduce their own work, and over 70% cannot reproduce the findings of their peers. We're here to help change that.
At BioCollate, we are addressing the replication crisis by providing a platform for researchers to create protocols, collect data, organize results, and share scientific findings in a machine-accessible way conducive to repeating experiments from lab to lab.
By promoting the repetition of experiments and facilitating the entire Design-Build-Test-Learn (DBTL) cycle, we aim to accelerate discovery through data verifaction.
We are dedicated to fostering a collaborative scientific community where data integrity and accessibility drive progress and breakthroughs.
Collaboration
We're creating a powerful tool for scientists to collaborate and share data on, allowing for sound science and new discoveries.
Data Integrity
We prioritize user data ownership and ensure integrity by tracking the timestamps and sources of all data points.
Accessibility
With our emphasis on creating an intuitive user experience, our software will be accessible to scientists of any level of expertise.
BioCollate's Scientific Philosophy
We believe that all experimentation should be reproducible and replicable to follow the pillars of science.
Repeatable Observations
A scientific hypothesis is judged by its alignment with consistently observed data both in nature and experiments.
Elegant Hypotheses
A hypothesis should be elegantly crafted to be clear, intuitive, and straightforward, effectively conveying its purpose.
Approximate Models
No model can capture all of reality, so we use overlapping theories for unique phenomena, with newer theories expanding on older ones.
Precise Descriptions
A scientific hypothesis must be precisely stated to allow definitive testing, ensuring clarity for future work and avoiding ambiguity.
Ethical Integrity
Science is driven by the pursuit of truth, requiring honesty, objectivity, humility, and the abandonment of political and personal bias.
Community Examination
We are a truth-seeking community reliant on collaboration and review to drive progress, ensuring that errors are corrected over time.
These Pillars of Science described by Dr. Aron Wall capture the fundamental ideas behind the scientific method and community that have been respected, unknowingly or not, for centuries. Here at BioCollate we want to empower you, the researcher, to follow these pillars and create elegant, repeatable, community-driven science with our software.
Meet the Team
Our team combines extensive experience in synthetic biology, computational biology, and software development, uniquely positioning us to solve the challenges researchers face.
sai@biocollate.com Sai, an expert in commercialization, developed the T-Detect COVID-19 test with Microsoft and Adaptive Biotechnologies. With a decade of synthetic biology experience and entrepreneurial skills from founding a tax and grant writing service, she adds immense value to the team. 
tom@biocollate.com Tom brings expertise from his software engineering experience, developing products for full life-cycles. He has built applications from scratch, has background in computational biology, and his entrepreneurial experience equips him to drive innovation at BioCollate. Introducing: Benchtop Lab Assistant
This service will be an all-encompassing platform for scientists to use through the entire DBTL cycle. We're focusing on biotech research right now, but we see a need for this product in most fields of science.
The process starts with designing an experiment following the pillars of science. We'll help with that, providing feedback and suggestions using machine learning based on an outline.
Then, researchers take their outline and create a protocol using our intuitive workspace. BLA will keep track of variables, amounts, tools, machines, and everything else that needs to be recorded.
Once a highly-detailed machine-accessible protocol is made, the researcher can run the steps of their experiment with their automated lab equipment over a wireless connection. Then, like something, BLA will automatically record data from the machines and save it for later analysis.
When the experiment is finished, the scientist can use our tools to analyze the data and draw a conclusion leading to new knowledge in the domain.
Developing 5-star software takes time, though, so we expect to have a prototype ready in the next two years. Stay tuned for more updates on the progress!