Independent AI systems laboratoryEngland / 2026

Intelligence,armoured.

We develop software and formal methods for invention analysis, inference selection and verifiable AI governance.

BAYES' RULEp(θ | D) = p(D | θ)p(θ) / p(D)
The Scorpion Labs mark
INVENTION · INFERENCE · PROOF

AI capability is becoming cheaper.

Reliable selection, governance and verification are not.

Four research programmes.

Product work spanning invention analysis, model selection, verifiable governance and agent orchestration.

01
Patent StudioToward private beta

From invention record to patent work product.

A workspace for invention records, prior-art research, claim development, drawings and counsel review. Outputs retain their source evidence and review history.

Prior art · claims · evidence
Request a private briefing
02
OpenScorpionActive research

Selecting models under real constraints.

Research into model selection across capability, cost, latency, policy, provenance and uncertainty.

Decision theory · Bayesian inference · optimisation
Discuss the research
03
APCGActive development

Verifiable evidence for governed AI actions.

Research into machine-checkable evidence for governed AI actions and independent verification.

Formal reasoning · verification · provenance
Explore the thesis
04
AriadneActive research

Traceable agentic work.

Research into traceable agent workflows, explicit human approval points and reproducible outcomes.

Orchestration · evidence · human review
Request a private briefing

Decisions under uncertainty.

Optimisation, Bayesian updating, information theory and graphs give uncertain decisions a form that can be inspected.

α / 01

Choice under constraint

x* = arg max f(x) s.t. gⱼ(x) ≤ 0

Optimisation under policy, risk, budget, capability and latency constraints.

β / 02

Belief after evidence

p(θ | D) ∝ p(D | θ) · p(θ)

Bayesian updating makes the relationship between prior belief, observed evidence and revised belief explicit.

γ / 03

The value of uncertainty

H(X) = − Σ p(x) log p(x)

Entropy quantifies uncertainty and helps estimate the value of further evidence.

δ / 04

Reasoning has shape

G = (V, E)

Graphs represent claims, evidence, support and conflict without collapsing the reasoning into a single score.

ε / 05

Commitment before revelation

c = H(m)

Hash commitments support later verification without publishing the underlying material at commitment time.

ζ / 06

No single optimum

x ∈ Pareto(F)

Pareto frontiers expose trade-offs between quality, cost, speed, control and trust.

Relevant scale.

Published indicators for patents, generative AI spending and the projected AI market.

Problems worth working on.

Questions from current work in learning, evidence, security and systems.

CMAR / 01Multi-agent reinforcement learning

Counterfactual policy search

How should an agent explore when other agents adapt? Parallel strategic alternatives and scenario-aware regret give exploration a memory of context.

CONFIDENCE / 02Meta-learning · sequential decisions

Confidence under uncertainty

When should a conversational agent act, ask or defer? A confidence model can distinguish familiar turns from unfamiliar trajectories.

MODEL RISK / 03Drift · faithfulness · stability

Monitoring live AI

How can a probabilistic model be monitored after validation? Track faithfulness, drift and stability as the surrounding system changes.

TLS / 04Encrypted traffic · protocol analysis

Identity inside encrypted traffic

Can encrypted traffic identify the software that produced it without decryption? Handshake metadata offers a protocol-level fingerprint for analyst review.

GEOMETRY / 05Hyperbolic embeddings · hierarchy

Hyperbolic evidence spaces

Can hierarchical evidence live in a geometry that preserves parent and child relationships? Hyperbolic embeddings make structure visible in a compact space.

HAWKES / 06Point processes · event dynamics

Momentum in event streams

Can deal momentum be modelled as mutual excitation? A two-dimensional Hawkes process treats seller touches and buyer responses as linked event streams.

Discuss a research problem.

We welcome conversations about invention systems, governed AI infrastructure and applied research.

Request a briefing