Neuromorphic GTM brain
Neuromorphic builds robots intended to automate physical work in biotech and other wet labs using existing instruments.
category
Wet lab roboticsmarket profile
- text: Neuromorphic describes mobile robots that move among workstations, operate existing equipment and carry lab materials.
- text: The company reports a biotech lab deployment and more than 1,500 tasks; independent protocol-level validation is not available in the launch announcement.
- text: Buyers can also consider fixed and mobile laboratory automation platforms, cloud labs, and specialized liquid handlers.
personas
- title: Biotech lab operations directorpains:
- Manual movement of samples between instruments takes technician time.
- Retrofitting a functioning lab or replacing validated instruments disrupts operations.
- title: R&D and automation leaderpains:
- Experiment throughput competes with staff availability and instrument scheduling.
- Needs proof that a robot can handle changes and exceptions reliably before committing to a workflow.
- title: Lab automation scientistpains:
- Stationary automation can leave manual handoffs between workstations.
- Complex integrations and changing protocols can consume engineering time.
icp
- text: Biotech and life sciences organizations with operating wet labs and recurring physical experimental workflows are the clearest target.
- text: A strong pilot candidate has installed instruments, repeated multi-station work and an owner able to validate robot safety and protocol outcomes; organization size is undisclosed.
message pillars
- text: Position the product as robots built specifically to automate wet-lab work.
objections
- objection: Will it work with our instruments and protocols?response: Scope a walkthrough and supervised demonstration on representative equipment and labware; compatibility is workflow-specific.
- objection: Can we trust performance and safety in our environment?response: Agree on a supervised pilot with measurable task success, exception handling and acceptance criteria before scaling.
- objection: Will revised experiments require extensive reprogramming?response: Include a protocol change in the pilot and establish ownership of ongoing updates.
competitors
- name: Medrawhy: Uses general-purpose robotics for existing life-science lab instruments.
- name: Automatawhy: Offers modular lab automation and orchestration for life-science workflows.
- name: Thermo Fisher Scientificwhy: Offers mobile lab transport and broader laboratory automation.
- name: HighRes BioSolutionswhy: Offers mobile automation and software to coordinate laboratory workflows.
keywords
- wet lab robotics
- lab automation robots
- mobile lab robot
- biotech lab automation
- automated laboratory workflows
- autonomous scientific experiments
voice
- Technical
- Ambitious
- Concise
signals
- text: A lab seeks to expand experiment throughput without adding proportional manual handling capacity, a hypothesized fit signal.
- text: Existing instruments and repetitive cross-workstation handoffs create a plausible pilot opportunity.
stack
- Slack
- phone
pricing
model: unknown
motion
sales_ledchannels
- YC launch directory
confidence
mediumFounders
- name: Vatan Aksoy Tezertitle: Founder/CEOrole: CEObio: Founder at Neuromorphic. Previously Lead Robotics Engineer at Augmentus, deploying motion planning algorithms to production with sub-mm accuracy and leading a team of 5. Before that, built navigation stacks from scratch at KABAM Robotics (deployed 100+ robots) and scaled ASRS systems at Rapyuta Robotics (1000+ robots to production). Core maintainer of MoveIt at PickNik Robotics. MS in CS from Sabanci University, BS in Astronautical Engineering from Istanbul Technical University.
- name: Ege Doganaytitle: Founder/CTOrole: CTObio: Founder at Neuromorphic (YC S26). Robotics and AI research at Bilkent University. Research fellow at Nanyang Technological University. Published research in top AI and robotics conferences. Won HackMIT, Stanford XR, MIT Reality Hack.
- name: Cem Tokertitle: Founder/COOrole: COObio: Founder at Neuromorphic. Co-founded ErgoFlow, building LLM routing and training acceleration. Previously developed static calibration algorithms for industrial robots at Zeeko achieving 30% higher precision. Engineering at Cambridge.