Boost Efficiency from Lab to Linewith TendiLab

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Developing materials and tuning processestakes experiment after experiment

TendiLab AIsearches intelligently toward your target

Even experiments thatmiss the targetmake the AI system better

Technology

  1. MELD data collection agent

    Gather scattered data,

  2. Property prediction foundation model

    predict properties from little data,

  3. Recipe recommendation engine

    and recommend recipes that hit your target, with the reasons why

Every experiment becomes new data

Research & IP

Papers

  • ACL ARR 2026MELD: Multimodal Extraction of Machine-Learning-Ready Materials Data from Scientific Literature
  • NeurIPS 2026 AI4MatWhy Did Bayesian Optimization Recommend This Recipe? Action-Level Decomposition of Value and Uncertainty
  • NeurIPS 2026 AI4MatQuasiparticle Energies That Will Not Be Computed: A Calibrated Release for 2D Semiconductors

Patents

  • Building training data from literature10-2026-0163770
  • Pretraining predictive models for small data10-2026-0163771
  • Predicting achievable performance before training10-2026-0163768
  • Scoring and recommending input variables10-2026-0163769
  • Goal-directed experiment design system10-2026-0163773
  • Attributing recommended condition changes10-2026-0163772

Awards

Work with us

Design an AI system that raises your production efficiency with TendiLab in two months

  • Data platform
  • AI system for production efficiency
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