Proof
We don't build products.
We engineer systems that make decisions.
Eight engagements. Eight decision systems. Each built around a specific context, delivered with accountability to defined outcomes — not delivery milestones.
Decision categories
Every system falls into one of four categories.
The type of decision a system makes defines how it is architected, measured, and delivered.
What to show
Recommendation and personalisation systems that surface the right content, product, or person.
What to prioritise
Scoring, segmentation, and ranking systems that determine where effort and resource are directed.
What to execute
Real-time systems that trigger physical or operational actions based on live inference.
What to evaluate
Assessment and audit systems that determine quality, risk, or fit at scale.
All engagements
Eight systems. Eight outcomes.
Digital Media
Audiobook and content platform
Generic discovery and recommendations were failing to retain subscribers.
Improved session duration and retention through a real-time recommendation decision system.
“Not an audiobook app — a real-time recommendation decision system.”
Social / UGC
Community and poll-driven social product
Shallow preference signals limited feed relevance and engagement depth.
Higher engagement and retention through a behavioural decision engine.
“Not a social app — a behavioural decision engine.”
Enterprise / Data
Multi-system commercial and operations footprint
Fragmented data made decisions slow, inconsistent, and reactive.
Faster, more consistent decisions with a central intelligence layer.
“Not dashboards — a decision intelligence system.”
Sales / CRM
Scaling outbound and inbound sales motion
Inconsistent funnel execution depended on individual heroics.
More predictable pipeline and conversion through prioritisation and automation.
“Not a CRM — a sales decision system.”
Human Resources
High-volume hiring with compliance requirements
Screening was slow, subjective, and hard to scale.
Faster cycles and consistent evaluation with an AI hiring decision system.
“Not a chatbot — a hiring decision system.”
Healthcare
Medical aesthetics clinic, London
Patient acquisition and conversion lacked funnel visibility and consistency.
20–30% uplift in conversion from simulation-driven sales tools and structured lifecycle decisions.
“Not marketing tools — a conversion decision system.”
Industrial / Computer vision
High-throughput sorting facility
Manual sorting was inefficient, error-prone, and not scalable.
Automated sorting with higher accuracy and scalable industrial infrastructure.
“Not a CV model — a real-time physical decision system.”
Investor readiness
Startup technical evaluation at scale
Codebase reviews were manual, inconsistent, and slow.
Faster, repeatable technical diligence with automated scoring and reporting.
“Not a tool — a technical decision system.”
Start a discovery
Most engagements begin with a conversation about context.
We do not send a proposal before we understand the problem. Start by telling us about your decision context — we will identify the highest-leverage intervention areas before any scope is agreed.