Partners & Funding
Fund work that ships.
Dissensus turns a formal thesis about friction in multi-agent systems into artefacts you can check: theorems a proof assistant has verified, a risk index that runs every day, experiments that rerun from seed. Funding does not buy a promise of research — it accelerates a programme already producing.
Or simply: the work exists; support makes more of it.
Research you can verify, not just read
Most research asks funders to trust the process. Ours is checkable. Twenty papers across computational finance, political economy, AI alignment, and formal methods — organised around a single thesis: coordination has overhead, delegation produces friction, and friction decomposes into stake, entropy, and alignment. The thesis is not a slogan; it is a functional with machine-checked properties and empirical tests in three domains so far.
Three bottlenecks, all of them tractable
The programme is not blocked on ideas. It is blocked on compute, hands, and the unglamorous work of carrying results from working prototype to published, replicable finding. Each is a problem money straightforwardly solves.
Multi-agent and privacy experiments at proper scale
The multi-agent friction experiments and the CBDC-privacy work currently run on a dual-GPU workstation. Cluster time turns week-long parameter sweeps into overnight ones, and lets us run the factorial designs at the resolution the theory actually calls for.
Research-assistant time through to publication
Empirical programmes die in the gap between promising result and peer-reviewed paper. Funded research-assistant time carries the studies through that gap — data collection, robustness batteries, replication — instead of leaving them queued behind everything else.
Public goods, by default
What partnership funds here stays public: archived datasets, the Lean formalisation library, and the live ASRI index are open-access and citable. Supporting the programme produces infrastructure other researchers build on, not a private asset.
Pick the door that fits
The record so far
Peer-review venues include Digital Finance, AI and Ethics, and Ethics and Information Technology. The full archive — every paper with its identifiers — is under Research; the programme itself is documented at systems.ac.
Start a conversation
One email is enough. Tell us what you want to accelerate — or ask what we would do with the support; the honest answer is in the brief.
What we can talk about
- Grant and philanthropic funding, at project or programme level
- Academic collaboration and joint proposals under ASCRI
- Commercial engagement via Services