Timothy Ricks Code / Head:
Redefining
Computing
For

Redefining computing for the future

A runtime reconfigurable processor architecture for AI, telecom, HPC, edge intelligence, and next generation data centres. REDEFINE™ reshapes its compute fabric to the demands of workload.

The
Future

Redefine TM
A New Class Of Compute

01

Operand Ready Firing

02

Dynamic Assignment

03

Immediate Release

A task is ready to execute  the moment its operands land in hardware. No clock tick. No host permission. No queue.

Static chips wait for the next pre-assigned slot and they may operate on stale data already there.

Any free compute element takes any ready task, the moment it is free. No pre-mapping, no fixed routes.

Static chips bind each task to a fixed processing element at compile time creating an artificial deadlock, where work halts for lack of access to resources, not lack of resources.

The moment a task completes, its compute element returns to the pool. Ready for whatever fires next.

Static chips leave silicon idle awaiting control between tasks.

A complete intelligence platform

A complete intelligent  platform

Developer-First Stack

REDEFINE ships with a complete software stack, co-developed and validated alongside the hardware. Developers can deploy existing models without rewriting. For custom workloads, an extended C dialect gives expert developers direct dataflow graph control. The same code runs on simulation, FPGA prototypes, and production silicon, compressing the cycle from algorithm to deployment.

Your Domain, Your Architecture

Every workload carries a different compute profile. The REDEFINE™ archetype is built to specialise for yours. Bring your use case: large scale AI inference, encryption, secure computing, real time sensor fusion, scientific graph computation. The base template instantiates as a domain specific accelerator, same PE array, same dataflow firing rules, reconfigured for your workload's compute and memory access pattern. The architecture is shared. The instantiation is yours.

REDEFINE ships with a complete software stack, co-developed and validated alongside the hardware. Developers can deploy existing models without rewriting. For custom workloads, an extended C dialect gives expert developers direct dataflow graph control. The same code runs on simulation, FPGA prototypes, and production silicon, compressing the cycle from algorithm to deployment.

Silicon-Ready From Day One

The compiler, runtime, and drivers were co-developed and validated alongside the hardware. Working FPGA prototypes run REDEFINE™ workloads today. Start integration now, on a fully operational platform. By the time production silicon ships, REDEFINE's software ecosystem and workload profiles are already production ready.

REDEFINE ships with a complete software stack, co-developed and validated alongside the hardware. Developers can deploy existing models without rewriting. For custom workloads, an extended C dialect gives expert developers direct dataflow graph control. The same code runs on simulation, FPGA prototypes, and production silicon, compressing the cycle from algorithm to deployment.

Multiple Products.
One Platform.

REDEFINETM SOFT IP

Drop-in accelerator IP for the most computationally intensive workloads.

Licensable

MuDRA

The MuDRA test chip is the physical realisation of the REDEFINE™ IP — a many-core SoC fabricated on 28nm TSMC. It is the first silicon validation of Morphing Machines' IP.

Test chip in Q3 2026. Commercial grade MuDRA follows in Q4 2027

256 KB L1 + 4 MB L2

On-chip memory hierarchy

Toroidal mesh interconnect

with distributed orchestration

51.2 GOPS INT8 performance

@ 800 MHz IP Clock

16 RISC-V cores in a 2×2 CR fabric

Each CR with 4 Compute Engines

REDEFINETM SOFT IP

Drop-in accelerator IP for the most computationally intensive workloads.

Licensable

Cloud Based Emulator

Hardware-accurate, scalable emulation for the REDEFINE™ processor on AWS cloud infrastructure — enabling software development, functional verification, and regression testing before silicon arrives.

Request Access
Thank you!
Your submission has been received!
Oops! Something went wrong while submitting the form.

COMPUTING FROM CORE TO EDGE

Core Data Centers

Run AI/ML training and inference, graph analytics, encrypted computing across BFSI and healthcare, and cybersecurity workloads, all on one fabric.

AI/ML Inference

HPC Clusters

Encrypted Compute

Cybersecurity

Edge Intelligence

Vision analytics, AI/ML inference, and cybersecurity systems deployed at the network edge where latency and power are critical constraints.

Vision Analytics

AI/ML Inference

Cybersecurity

Real-Time Processing

Embedded Systems

ADAS and autonomous systems where deterministic, low-latency intelligent compute is essential for safety-critical decisions.

ADAS / Autonomy Analytics

Deterministic Compute

Low-Latency AI

Power-Constrained

Developer-Friendly Programming Model

Program REDEFINE™ in the languages and frameworks you already know, no deep hardware expertise required.

Request SDK Access
Thank you!
Your submission has been received!
Oops! Something went wrong while submitting the form.

What Will You Build?

What Will You

Every domain shapes the fabric differently. Tell us what you are running and we will walk through how it is customised at design time.

Build?

Join
The Mission

Morphing Machines is redefining how machines compute, evolve, and scale for the next era of intelligent systems.

Morphing Machines is redefining how machines compute, evolve, and scale for the next era of intelligent systems.