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## ​Building the next generation of software, physical AI, biotech, and deeptech companies


​Building the next generation of software, physical AI, biotech, and deeptech companies
​Join Sanscritic for an evening of presentations and discussions on recursively self-improving AI, metareasoning, and AI neofactories.
​Most AI systems today complete a task once. The next generation will evaluate their own work, learn from feedback and experiments, improve their reasoning, and recursively produce better models, datasets, algorithms, simulations, and products.

​We will explore how metareasoning can act as a control layer for these systems—deciding when to simulate, critique, backtrack, experiment, or involve a human expert.

A key theme will be the rise of AI neofactories: AI-native systems that continuously create and improve intellectual assets such as:

  • ​Simulations
  • ​Datasets
  • ​Models and algorithms
  • ​Product designs
  • ​Scientific hypotheses
  • ​Engineering configurations
  • ​Decision systems


The event will also focus on new startup opportunities created by combining simulation with recursive self-improvement across:

  • ​Enterprise and expert software
  • ​Robotics and physical AI
  • ​Biotech and healthcare
  • ​Deeptech, energy, materials, and industrial systems


Discussion Topics

  • ​What does it mean for an AI system to genuinely improve itself?
  • ​How can simulation lower the cost of building complex AI systems?
  • ​How should self-improving systems be evaluated and controlled?
  • ​Where should human experts remain in the loop?
  • ​What new companies become possible when AI can continuously improve its own outputs and processes?


Who Should Attend

​Founders, AI researchers, engineers, domain experts, simulation builders, robotics and biotech teams, and investors interested in the next generation of AI-native companies.

About Sanscritic

​Sanscritic builds metareasoning and recursive self-improvement technology for expert work.
​Our platform helps organizations build complex reasoning systems, create simulations more easily, and enables specialized AI startups to develop their own self-improving AI products.
​Join us to explore the technologies, architectures, and companies that could define the next phase of AI.

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