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Claude Community AI Science Demo Night Recap

An automated hardware setup at Claude Community AI Science Demo Night

Nine demos. Three hours. Lots of bugs—physical samples, that is, not software errors.

Thanks for joining our demo night, co-hosted with Sean Jungbluth, founder of BioKEA and an ambassador for the SF Claude Community. If you missed it, the demos and recap are below.

Thanks to our event partners

Automated hardware at the Claude Community AI Science Demo Night

1. Austin demoed BioKEA’s automated bug-sample preparation workflow

Austin Baker, biodiversity researcher at BioKEA, shared a computer-vision pipeline for an automated insect sorter. The tabletop pick-and-place machine—similar to equipment used in electronic assembly—uses a vacuum to move bug samples into a well plate for workflow preparation.

Before using coding agents, Austin had not used automated hardware or custom software in this workflow. The team currently has capacity for 30–40 plates a month; its future target is 18 a day, roughly a 30-fold increase.

2. Brontë demoed Zeon Systems’ world-model platform

Brontë Kolar, co-founder of Zeon Systems, is working to let scientists run their own hardware for automated experiments. She demonstrated a platform that combines a world model with 3D objects for simple simulations and composes skills into workflows. Every component is text-based, making the system legible to agents.

3. Simon demoed HiveMind for neuron cell-culture monitoring

HiveMind Culture Node diagram

Simon Coelho shared HiveMind, an open cell-culture monitoring device designed for Openshelf—an automated inventory system for high-throughput experiments.

Rapid two-minute demos

4. Oliver shared a hypothesis-generation workflow for structure-based drug design

Oliver Sun, co-founder of Reasoned Therapeutics, shared the team’s hypothesis-generation workflow for structure-based drug design.

5. Shubham shared YourBuddy, a reasoning copilot for experimental data

Shubham Gupta, a PhD candidate in chemistry, shared YourBuddy, a reasoning copilot for experimental data.

6. Eldar demoed protein-function model training with Clusy

Eldar Hasanov, co-founder and CTO of Clusy, demonstrated its fine-tuning setup for protein-function model training. Clusy is offering $20 in free credits for members of the community who want to try it. Request credits here.

7. Jay shared Byteport’s fast file-transfer protocol

Byteport file-transfer demo video poster

Jay Palamadai, CEO of Byteport, shared the company’s fast file-transfer protocol.

8. Taras shared a robotic peeling dexterity integration

Taras Nazarov, senior research scientist at Washington State University, shared the latest work on his organelle project, including a robotic peeling dexterity integration.

9. Joel demoed agentic fly tracking

Joel Adler, visiting collaborator for AI curriculum at the University of Virginia, demonstrated an agentic fly-tracking setup from work with the Worley Lab.

Help support the next meetup

We are looking for:

  • A lab or venue partner for the next AI for Science hack this fall: space for roughly 50–100 people, a weekend build, and a few robots.
  • Demo night partners for demos, venues, or sponsorship.

If that sounds like you, get in touch. See you at the next one.