The math layer
behind the product.
Every product that scales lives or dies on its algorithms — what gets shown, what gets matched, what gets priced. The Agency's Algorithms discipline builds the ranking, matching, pricing, and ML systems that turn a feature into a moat.
What we build.
Six focused services, each led by a senior ML/algorithms engineer with production experience at scale. Engage one, or stack them into a full product-intelligence rebuild.
Recommendation Engines
Personalized "for you" surfaces, related-item modules, next-best-action. Collaborative filtering, content-based, hybrid, embeddings + vector retrieval, LLM-reranked.
Ranking & Feed Systems
Search relevance, feed ordering, notification ranking. Learning-to-rank, multi-objective scoring (engagement × diversity × freshness × margin), online evaluation.
Pricing & Yield
Dynamic pricing, surge, elasticity modeling, promo optimization, subscription retention pricing. Bandits + causal inference so you're not just correlating.
Matching & Marketplace
Two-sided matching (rider/driver, buyer/seller, mentor/student), auction design, dispatch, allocation, fairness constraints. The core of any marketplace.
ML Pipelines & MLOps
Feature stores, training + retraining loops, model registry, shadow/canary deploys, drift monitoring, cost-tuned inference. Production ML without the pager fire.
Experimentation & Eval
A/B infrastructure, offline eval harnesses, guardrail metrics, causal uplift, LLM-eval frameworks. So you actually know if the algorithm is winning.
How we work.
Three shapes depending on how mature your data + team are.
Algorithm Audit — from $25K
2-week diagnostic on an existing system. Data quality, feature signal, model performance, offline-vs-online gap, ranking objective clarity, drift. You get a prioritized 90-day plan.
Build Sprint — from $75K
6–12 weeks. We ship one algorithm end-to-end — model + serving + eval + monitoring — hand it to your team with docs and a retraining runbook.
Embedded Team — from $40K/mo
Senior algorithms engineer + ML platform engineer embedded 3–6 months. For companies rebuilding the product-intelligence layer from scratch or replatforming.
Not another ML consultancy.
We ship algorithms that live inside real products — because we also build the products. Design, tech, and algorithms sit in the same room.
Senior-only
No junior data scientists learning on your dime. Every engagement is led by someone who has shipped ranking or ML at scale in production.
Product-in-the-loop
We stack Algorithms with Design + Tech + AI so the model isn't a stranger to the UI. Ranking that changes the surface, not just a dashboard chart.
Evaluation first
We define the win metric + guardrails before we touch a model. Half our engagements never train a new model — they fix the objective.
Handoff-ready
Every system ships with a retraining runbook, monitoring dashboards, on-call docs. Your team owns it in 90 days — not us on retainer forever.
Tell us where your ranking hurts.
Bad feed, weak search, pricing on gut feel, marketplace mismatch. Two-week diagnostic gets you a prioritized 90-day plan.