System unification
many schemas → one model
Disconnected systems resolve into one live model, and conflicting records reconcile as they meet.
Research
Pushing the limits.
Every panel on this page is a real method running live in your browser. Nothing is pre-recorded. The same methods go into client deployments.
01 / Agents
Work that coordinates itself.
Our deployments run on machine employees: roles, permissions, a human manager, and an audit trail. The panels below run that coordination live: merging systems, assigning tasks, and moving work off a worker that fails.
What we build nowmachine employees, coordinating
Entity resolution
sim(a,b) ≥ τ ⇒ merge
Duplicate client records are scored, matched and merged into one golden record.
Task market
award = argmax fit / cost
Machine employees bid for queued work, and each task goes to the best-suited role.
Machine-employee firewall
allow ⇔ policy(action)
Every agent action is checked against its permissions; anything outside them stops for a person.
Self-healing work queue
requeue on worker loss
A worker drops out, its tasks return to the queue, and the rest of the team absorbs them.
Orchestration
DAG · retry · hand-off
Work flows through a dependency graph, retries on failure, and hands off to a person when confidence is low.
Coordination scienceported methods
Work stealing
idle worker steals from a busy queue's tail
Idle workers take work from busy ones, so no queue sits full while another sits empty.
Decentralised coordination
separation · alignment · cohesion
Dozens of agents coordinate a shared search with no central controller.
Self-healing network
shortest-path re-route
Remove a node and traffic recomputes a route around the gap in real time.
Fault-tolerant agreement
commit at ⌊2n/3⌋ + 1
Nodes reach agreement even with a faulty member in the group.
02 / Defence
Detect it, contain it, keep the record.
REAPER is our defensive layer, in development. It is designed to detect an intrusion fast, contain it, and keep a record that cannot be quietly edited. Every panel here is defensive only. The panels below show how it detects, contains and records an intrusion.
The methods REAPER is designed aroundin development · defensive only
Tripwires
touch(decoy) ⇒ alarm
Decoy files and logins no genuine user ever opens. The first touch raises the alarm.
Proof record
hₙ = H(hₙ₋₁ ‖ eₙ)
Every entry seals the one before it. Edit one line and the chain is marked broken from that point on.
Reversible containment
escalate on ≥ 2 signals
Responses start gentle and step up only as evidence builds, then step back down when it clears.
Quiet baseline
alert ⇔ ≥ 2 correlated signals
Thousands of events in, a handful of alerts out. A person is paged only when two signals agree.
Outbound allow-list
dst ∈ allow ? pass : block
Data leaves only for approved destinations. Anything else stops at the boundary and is logged.
Digital-twin attack paths
close the shortest path, repeat
Our agents probe a copy of the system, never the live one, and close each weak path they find.
Defensive methodsported, reframed
Containment
spread vs detect · isolate · patch
A compromise spreads across a host graph while detection isolates and patches it. The measure is how fast it is contained.
Learned-baseline detection
z = (x − μ) / σ, EWMA
A live signal is compared with what normal looks like, and the outlier is flagged as it leaves the band.
Hardening our own code
keep input if new coverage
We mutate inputs against our own software to find weak branches before anyone else does.
Tamper sensitivity
avalanche ≈ 50%
Change one bit of the input and about half the output changes. That is why an edit cannot hide.
03 / Industry
The same methods, applied to your operation.
These panels run real optimisation, forecasting and risk maths on problems from different industries. The list below shows the fields we work in.
Industry methodsfield-specialist methods
Claims triage
score → fast · review · decline
Claims are scored on arrival and routed to the right lane, with borderline cases sent to a person.
Fraud ring detection
dense-subgraph detection
A tightly linked cluster of accounts stands out from ordinary payment traffic as it forms.
Patient flow
L = λW
Admissions, beds and discharges as one flow, so the bottleneck ward is visible before it overflows.
Predictive maintenance
remaining life from drift
One machine's readings drift out of their normal band, and maintenance is flagged before failure.
Demand forecasting
trend + season + noise
A forecast with its uncertainty band, so restock points come with a stated confidence.
Clause matching
similarity ≥ τ
Contract clauses are matched against a reference library, and non-standard wording is flagged for review.
Timetable solving
constraint propagation + backtracking
Classes, rooms and teachers settle into a timetable with no clashes.
Monte Carlo simulation
Sₜ₊₁ = Sₜ·e^((μ−½σ²)Δt + σ√Δt·Z)
Thousands of simulated paths form a distribution. Shown for the maths, not as advice.
Walk-forward evaluation
fit → test → roll the window
A model is refitted and tested on data it has not seen, window after window. No performance is claimed.
Optimisation, tracking, fusionported methods
Route planning
f = g + h
The shortest route found by searching outward from a guided frontier, the core of routing and planning.
Tracking through noise
x̂ = x̂⁻ + K(z − Hx̂⁻)
A moving asset's position is held steady through noisy and missing readings.
Multi-sensor fusion
gate ‖z − x̂‖² < γ
Scattered readings from many sensors are combined into confirmed tracks in one place.
Orbit propagation
r̈ = −μr / ‖r‖³
Orbits propagated forward to predict when each satellite passes a station.
Applied surfacehover or focus to trace
Not exhaustive. Specialised problems get easier when the team that understands the science also writes the code.