α.01→
Pricing & revenue engines
ƒp* = argmax E[r(p) · c(p)]
Dynamic pricing, yield management and margin optimization — with guardrails that keep them sane in production.
- Dynamic
- Yield
- Margin
Currently taking Q3 2026 projectsBased in the UK · shipping globallyFounded 2026SaaS · websites · web apps · algorithmsFixed-scope sprints from two weeksDesign, engineering & ML under one roofCurrently taking Q3 2026 projectsBased in the UK · shipping globallyFounded 2026SaaS · websites · web apps · algorithmsFixed-scope sprints from two weeksDesign, engineering & ML under one roofCurrently taking Q3 2026 projectsBased in the UK · shipping globallyFounded 2026SaaS · websites · web apps · algorithmsFixed-scope sprints from two weeksDesign, engineering & ML under one roofCurrently taking Q3 2026 projectsBased in the UK · shipping globallyFounded 2026SaaS · websites · web apps · algorithmsFixed-scope sprints from two weeksDesign, engineering & ML under one roof
Service C · Algorithm Products
The decision layerunderneath the UI.
Pricing, matching, forecasting, routing, retrieval and agents. Designed to be evaluated, deployed and re-trained — not handed over as a black box.
[ 005 ] Algorithm products
The decision layer underneath the UI.
Pricing, matching, forecasting, routing, retrieval. The algorithms that turn a SaaS product into a defensible one.
α.02→
Matching & recommendation
ƒscore = f(user, item, context)
Two-sided matching, personalization and ranking systems — explainable, evaluable, re-trainable.
- Ranking
- Personal.
- Evals
α.03→
Forecasting & risk scoring
ƒŷ = Σ wᵢ · xᵢ + ε
Demand, churn, fraud and underwriting models wired into the dashboards that drive decisions from them.
- Forecast
- Risk
- Scores
α.04→
Routing, scheduling & logistics
ƒmin Σ cᵢⱼ · xᵢⱼ s.t. Ax ≤ b
Constraint solvers, dispatch, capacity allocation — the math behind fleets, calendars and supply chains.
- Solvers
- Dispatch
- Capacity
α.05→
Search, ranking & retrieval
ƒtop‑k(sim(q, D))
Lexical, vector and hybrid retrieval with ranking pipelines and evals you can actually reason about.
- BM25
- Vector
- Hybrid
α.06→
Agents & AI-native systems
ƒπ(aₜ | sₜ) with evals & fallbacks
Agents, copilots and retrieval-grounded workflows with evaluators, guardrails and first-party data.
- Agents
- RAG
- Guardrails
Also from Algo SaaS
Two more shapes of work we ship.
[ 007 ] Start a project
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