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Embrace. Extend. Precipitate.

The foundation for
neuromorphic
computing.

Project Phasor is a collaborative open-source initiative building the shared infrastructure — compilers, virtual machines, and governance standards — that the neuromorphic ecosystem has been missing.

50+
Endorsers
3
Working Groups
20+
Institutions
Open Source

Why neuromorphic computing
needs Phasor

Neuromorphic computing holds transformative promise: brain-inspired processors capable of running intelligence with orders of magnitude less power than today's GPUs. Yet despite decades of research, real-world adoption remains frustratingly slow.

The reason is fragmentation. Academic labs build novel hardware with no path to production. Commercial vendors develop proprietary stacks that don't interoperate. Every team reinvents the same low-level infrastructure, over and over.

"Bridges are sorely needed between commercial and academic neuromorphic efforts." — Dylan Muir, SynSense

Project Phasor is building those bridges. We develop shared, open-source infrastructure — virtual machines for hardware exploration, a production compiler framework, and common governance standards — that the entire neuromorphic ecosystem can build on together.

01

Bridge Academia & Industry

Address the disconnect where research prioritizes novelty and commercial entities can't invest in non-proprietary standards.

02

Build Shared Infrastructure

Develop compilers, virtual machines, and tooling that no single organization would build alone — freely available to all.

03

Standardize & Govern

Work with ML Commons, Edge AI Foundation, OCP, and Khronos to establish the interoperability standards the field needs.

04

Accelerate Deployment

Lower barriers so neuromorphic hardware becomes a genuine part of the global compute landscape.

Three pillars of
open infrastructure

Phasor's roadmap is built around three complementary efforts forming a complete neuromorphic software stack.

01

Neuromorphic Virtual Machine

A curated library of behavioral and cycle-accurate reference models for neuromorphic cores and systems. Enables hardware exploration, architecture design, and debugging without physical silicon — leveraging established SoC design tools like SystemC.

Simulator
02

Compiler Framework

A production-quality lower-level compiler built with a "compiler-first mentality." A foundational layer optimized for heterogeneous integration — providing the flexibility for higher-level frameworks to build upon rather than replacing them.

Compiler
03

Governance & Standards

Engaging ML Commons, Edge AI Foundation, OCP, and Khronos to establish common governance. Working groups cover funding models, benchmarking suites tailored to neuromorphic systems, and cross-platform compatibility frameworks.

Standards
Compiler
Shared neuromorphic compiler — open, production-quality framework enabling cross-platform neuromorphic deployment.
Simulation
Neuromorphic virtual machines — behavioral and cycle-accurate reference models for hardware-free exploration.
Integration
Heterogeneous integration — frameworks enabling diverse neuromorphic chips to interoperate seamlessly.
Research
Joint research fund — pooled funding for multi-lab collaboration on spiking datasets, training, and benchmarks.
Scale
Data-center scale training — targeting neuromorphic hardware for large-scale SNN training workloads.
Data
Neuromorphic datasets — procuring event-based datasets and making simulated worlds neuromorphic-enabled.

Built by the
neuromorphic community

Structured around three working groups — Community, Research, and Applications — led by a founding team with deep expertise across neuromorphic hardware, software, and ecosystem building.

The Project Phasor Company
Blessing Effiong & Veric Tan — Co-Leads
Community
Working Group
Research
Working Group
Applications
Working Group
BA
Brian Anderson
Founder & Lead
Neuromorphic engineer with pioneering industry methods. MIT degrees in Electrical Engineering & Computer Science.
MITIntel LabsGoogleNVIDIA
BE
Blessing Effiong
Co-Lead
Research Scientist & doctoral candidate championing the NeuroTriangle: data, algorithms, and hardware together.
Saint Louis Univ.AI & Robotics Lab
VT
Veric Tan
Co-Lead
Data scientist, ML engineer, material scientist, and biotech investor focused on AI sustainability and efficiency.
Johns Hopkins
DM
Dylan Muir
Contributor
Hardware-software co-design expert bridging commercial and academic neuromorphic efforts.
SynSense

A growing global
movement

Project Phasor has attracted endorsers and contributors from universities, national labs, startups, and industry across the globe.

50+
Individual Endorsers
20+
Institutions
15+
Countries
3
Working Groups
James Knight
EPSRC Research Software Engineering Fellow
University of Sussex
"What hardware and software can be used to train SNNs at scale remains an open question. It's really exciting to be part of a community starting to think about this."
Gianvito Urgese
Associate Professor
Politecnico di Torino
"A common compiler standard will enable cross-platform compatibility, accelerate innovation, and unlock the full potential of this transformative technology."
Erika Schmitt
Co-Founder & CEO
Cambrya, Inc.
"Project Phasor's focus on aligning the field to accelerate deployment is exactly what's needed as neuromorphics mature from research to real-world applications."
Hector A. Gonzalez
CEO
SpiNNcloud Systems
"We believe the Phasors project has the potential to unify the highly diverse neuromorphic field."
Amirreza Yousefzadeh
Assistant Professor
University of Twente
"Developing an SDK is significantly more challenging than designing neuromorphic processors. Project Phasor's vision for a shared compiler is precisely what the community needs."
Alexander Ororbia
Assistant Professor & Lab Director
Rochester Institute of Technology
"Neuromorphic computing is among the most immediately promising alternatives given recent energy and cost concerns over intelligent systems."
Felix Wang
Researcher / Engineer
Sandia National Laboratories
"Software and tooling will be the primary interface for users — opening up the potential of the hardware to a wide and creative neuromorphic community."
Thomas Nowotny
Professor of Informatics
University of Sussex
"Thinking about training on neuromorphic hardware is a very important and timely topic."
Cristian Axenie
Professor
Technische Hochschule Nürnberg
"Project Phasor will provide a platform that fosters dialogue, adoption, and the overall impact of neuromorphic technology across industries."
Giulia D'Angelo
Researcher
Czech Technical University
"Project Phasor would play a crucial role in accelerating progress and ensuring neuromorphic solutions become commercially viable."
Christian Borelli
Founder & CSO
Analogue Insight (UK)
"Project Phasor is the foundation for this future — a unified, open-source ecosystem that fosters collaboration across research, development, and deployment."
Jens Pedersen
Doctoral Fellow
KTH Royal Institute of Technology
"Project Phasor is correctly targeting the space needed to provide a valuable bridge between research and industry."
Giovanni Michel
Graduate Research Assistant
Los Alamos National Lab / Northwestern Univ.
"Brian and Project Phasor are essential to adoption of neuromorphic systems."
César D. Salvador
Professor & CEO
UPC / Perception Research (Peru)
"Neuromorphic computing represents one of the most promising frontiers, alongside quantum and in-memory computing."
Mazdak Fatahi
Engineer
Université de Lille
"A shared software stack and standardized compilation tools are essential to unlock the full potential of neuromorphic computing."

Get involved

Join the neuromorphic
revolution.

Project Phasor is an open community effort. Whether you're a researcher, hardware vendor, software engineer, or institution — there's a place for you. Attend working group meetings, contribute to the codebase, add your endorsement, or partner with us.