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Technology

The observability layer for science

You can’t troubleshoot, replicate, transfer, or scale what you don’t understand.
We’re building the observability layer for scientific work, capturing multimodal data and providing insights to move science forward.

The same step can be surprisingly variable.

How do you know the right way to interpret it, and if it matters for getting high quality data?

Protocol:

Add 20 μl and mix well

  • Pipetting
  • Inverting Tube
  • Flicking
  • Washboard
  • Vortexing
  • Inverting Rack
Our mission

Data we capture

Our goal is a lossless record of scientific execution. We are hardware agnostic and regularly onboard new sensors to meet the needs of frontier science.

Observability is the foundation for scientific insights and trustworthy data. Our core platform is leveraged across the value chain to support critical operations.
  • Frontier AI and Automation

    Capture the detail needed to automate routine work seamlessly. Generate rich data for training and evaluation of robotics and multimodal models, as well as studies that assess real-world biosecurity risk posed by frontier models.

  • Protocol Optimization

    Optimize reproducibility and effectiveness of workflows and laboratory protocols by observing and understanding the sources and impact of variance.

  • Tech Transfer

    Underwrite and facilitate tech transfer by observing the unspoken context dependencies and tacit knowledge plaguing handoffs.

  • Training & Workforce Development

    Develop automated training and practice environments for trainees as well as automating unbiased evaluations to scale up credentialing and relieve bottlenecks to growing highly skilled domestic manufacturing workforce.

Partner with us

Want to learn more? Reach out here or contact us at partnerships@transfyr.ai.