Single Tree Lab

Services

Computational design. Data. Innovation.

Engage one practice or combine them. We pair insights, exploration, and computational systems, helping teams move from early concepts to production-ready designs.

Computational Design

Parametric and generative systems turn data and constraints into buildable products.

Computational design — parametric surface

Build scripts and geometries that respond to athlete data, material limits, and manufacturing, so mild to wild exploration still lands as factory-ready files.

  • Parametric modeling and design systems
  • Data-driven traction and cushioning systems
  • Fabrication-aware, gradeable geometry
  • Simulation and wear-test informed iteration

Data

Having data is just the start. Building performance benefits using data can scale across a product line. That can have huge benefits to the consumer.

Data — form study

Synthesizing new data while planning for future collection methods. Developing pipelines that make insights accessible.

  • Integrate data into computational workflows
  • Develop tools so data can be consumed by broader teams
  • Build new collection methods to drive new performance attributes
  • Structure workflows to abstract data for signature aesthetics

Innovation

Focused exploration that turns performance problems into directions teams can build on.

Innovation — material texture study

We run discovery, prototype pathways, and stress test ideas before they scale, from new cushioning and traction systems to process innovations on the factory floor.

  • Opportunity framing and research sprints
  • Concept pipelines and prototype roadmaps
  • Cross-team innovation collab
  • Clear next steps for product and process

Prefer to see it in context? Browse the work.