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Rethink computation

Event-based processing, secured for tomorrow. We are redefining computation with a brain-inspired chip to unlock powerful, low-power algorithms for real-world solutions.

Contact

Rethink computation

Event-based processing, secured for tomorrow. We are redefining computation with a brain-inspired chip to unlock powerful, low-power algorithms for real-world solutions.

Contact

Rethink computation

Event-based processing, secured for tomorrow. We are redefining computation with a brain-inspired chip to unlock powerful, low-power algorithms for real-world solutions.

Introducing ADA

The world's first fully neuromorphic general purpose platform

Modular
algorithms
Interval-based
computation
Turing-complete
flexibility
Turn any algorithm into
its low-power version
and deploy it on ADA
User-friendly SDK
No spiking neural networks knowledge required

Try out open-source Axon SDK

Post-quantum cryptography

ADA has algorithmic adaptability of a microcontroller with energy consumption approaching dedicated hardware, removing dedicate hardware knowledge required for FPGAs. Easier implementation of complex PQC algorithms while minimising power demands – crucial for secure edge deployments.
Event-based processing

ADA eliminates the need for CPU-intensive encoding and decoding, allowing direct processing of event data before neuromorphic inference cores. This removes a significant bottleneck, enabling more powerful and power-efficient algorithms that enhance input data quality for spiking edge devices.
Post-quantum cryptography

ADA has algorithmic adaptability of a microcontroller with energy consumption approaching dedicated hardware, removing dedicate hardware knowledge required for FPGAs. Easier implementation of complex PQC algorithms while minimising power demands – crucial for secure edge deployments.
Event-based processing

ADA eliminates the need for CPU-intensive encoding and decoding, allowing direct processing of event data before neuromorphic inference cores. This removes a significant bottleneck, enabling more powerful and power-efficient algorithms that enhance input data quality for spiking edge devices.
Post-quantum cryptography

ADA has algorithmic adaptability of a microcontroller with energy consumption approaching dedicated hardware, removing dedicate hardware knowledge required for FPGAs. Easier implementation of complex PQC algorithms while minimising power demands – crucial for secure edge deployments.
Event-based processing

ADA eliminates the need for CPU-intensive encoding and decoding, allowing direct processing of event data before neuromorphic inference cores. This removes a significant bottleneck, enabling more powerful and power-efficient algorithms that enhance input data quality for spiking edge devices.
Post-quantum cryptography

ADA has algorithmic adaptability of a microcontroller with energy consumption approaching dedicated hardware, removing dedicate hardware knowledge required for FPGAs. Easier implementation of complex PQC algorithms while minimising power demands – crucial for secure edge deployments.
Event-based processing

ADA eliminates the need for CPU-intensive encoding and decoding, allowing direct processing of event data before neuromorphic inference cores. This removes a significant bottleneck, enabling more powerful and power-efficient algorithms that enhance input data quality for spiking edge devices.

Tailored for energy and area-constrained applications

Post-quantum cryptography

ADA offers unprecedented flexibility and efficiency for post-quantum cryptography (PQC), bridging the gap between microcontrollers and ASICs.
ADA has the algorithmic adaptability of a microcontroller with the energy consumption approaching dedicated hardware, while simultaneously removing dedicate hardware knowledge required for FPGAs.
Easier implementation of complex PQC algorithms while minimising power demands – crucial for secure edge deployments..

Event-based processing

ADA eliminates the need for CPU-intensive encoding and decoding, allowing direct processing of event data before neuromorphic inference cores. This removes a significant bottleneck, enabling more powerful and power-efficient algorithms that enhance input data quality for spiking edge devices.

About us

Building a new approach to computation requires a broad range of expertise, from technical innovation to business strategy: we are a team with complementary backgrounds spanning physics, computational neuroscience, electrical engineering and business development.

We’re seeking talented individuals who share our interest for pushing the boundaries of neural computing. Whether you're a student looking for a master thesis collaboration or an experienced hardware engineer or sales professional, we invite you to connect with us and see how you can be part of our team.

Send us your CV