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Embedd.it

Embedd.it provides an AI-powered platform that models semiconductor chips as digital twins, enabling deterministic generation of software, tests, and simulations. The platform converts complex chip data into machine-readable models, streamlining firmware generation, validation, and compliance for engineering teams. This approach decouples development from physical silicon, allowing teams to build and validate across diverse hardware targets.

Traction –/10
London, United Kingdom · HQ
122K+ followers
  • Semiconductor
  • Developer Tools
  • Artificial Intelligence
  • Software Only
Updated 8 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Developing software, tests, and simulations for semiconductor chips is a complex, manual process that is tightly coupled to specific silicon architectures. This makes it difficult and time-consuming to build for diverse hardware targets, slowing development cycles and increasing the risk of errors.

Solution

embedd.it addresses this by modeling chips as digital twins, creating a virtual representation of the hardware. From this digital twin, the platform deterministically generates the necessary software, tests, and simulations. This automation decouples development from the physical silicon, allowing teams to build and validate their work in a consistent, repeatable manner across different chip designs. The approach aims to streamline the entire embedded development workflow, from initial design to final testing.

Target Audience

The primary customers are engineering teams and organizations developing software, firmware, and tests for semiconductor chips and embedded systems.

Features

  • Digital twin modeling of semiconductor chips to serve as a single source of truth for development.
  • Deterministic generation of software, tests, and simulations from the chip model.
  • AI-powered conversion of complex chip data into machine-readable models.
  • Support for building on any silicon architecture, reducing vendor lock-in.
  • Automation of complex, manual development tasks to improve efficiency and reduce errors.
  • Streamlined firmware generation, validation, and compliance workflows.
This profile is AI-generated and may contain inaccuracies.