Welcome! We are thrilled to have you join us in our mission of expediting biomedical breakthroughs!

After one month of our public website, we have 100 waitlist subscribers! 🥳 🙌 To celebrate, we started this news letter so thank you for subscribing! Please forward this to other scientists who might be interested in weekly scientific AI news or monthly updates about our platform Labtools.AI!

Our Early Partners

Over the last few months, we have worked with a variety of enterprises and startups.

Everyone wants to train custom models, but normally we have to spend time integrating data from ELNs, LIMs, or pulling from third party platforms like Salesforce. So we created Labtools.AI to equip scientists with the tools to do this in one SaaS platform!

Why Labtools?

Labtools.AI is the first SaaS platform for no-code machine learning tools designed for scientists, by scientists. From training machine learning models on your fasta files, or conducting inventory forecasts to predict consumable usage, Labtools.AI has you covered!

We hope to empower scientific teams to develop custom machine learning models without code, and give them ways to seamlessly integrate with over 100 scientific systems!

Do you want to help us alpha test before our release in January? Drop me an email and we can see if there is still room to include you in our private Beta!

[email protected]

Custom Solutions

For teams seeking custom tailored solutions, Labtools.AI provides professional machine learning services where you can work with our AWS-certified engineers to build custom machine learning models for microscopy, digital staining, and DNA sequencing applications! Some of our early solutions partners have helped us with our alpha testing of Labtools.AI, and integrating with Laboratory Information Management Systems (LIMS), Electronic Lab Notebooks (ELNs), and various laboratory instruments. Huge THANK YOU to everyone involved!

Whats Next?

Keep an eye out for our next newsletter filled with new AI tools that are changing how we conduct science and more updates as our team prepares for our big launch party in January!

Thank you for subscribing! Please forward this newsletter to fellow scientists interested in learning how machine learning can save them time so they can get back to creating the next big breakthrough!

— Joe