Services

What we commit to deliver

Strategy that ends in a running system, not a slide deck. We commit to a use case actually worth building, the economics that justify it, and senior people who stay on until your team runs it without us.

Services · Applied AI Strategy & Deployment
FLEET RE-PLANNED
AGENTIC WORKFLOW LIVE
DELAY CASCADE
DOWNTIME PREDICTED
THROUGHPUT +12%
ROUTE OPTIMIZED
GENAI COPILOT ONLINE
FORECAST LOCKED
GUARDRAILS ESTABLISHED
KPI TRACKED & MONITORED
STOCKOUT RISK
YIELD DROP −4%
AGENT RESOLVED CASE
BOTTLENECK FLAGGED
LINE REBALANCED
ANOMALY AUTO-FLAGGED
MAINTENANCE SCHEDULED

Order
from the noise.

Every operation throws off more data than anyone can read

Strategy · POC · Deployment

Then we build the
system that acts on it.

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The premise

Technology strategy is now business strategy.

The companies pulling ahead with AI aren't the ones with the most models, they're the ones who decided early, and concretely, where AI was going to change how they operate, then built toward it with discipline. That clarity is what we help you find, and then deliver against, turning data and decisions into a durable source of value.

01 / How I can help

Where engagements usually start

Two ways in, a business question or a technical one. Most engagements travel the full arc.

Businessstrategy & advisory
The engagement that decides what's worth building, use-case discovery, sequencing, the business case, and senior advisory that stays close through delivery.
Often the entry point
Where agents genuinely pay off versus where they add risk, the operating model, guardrails and change management to put generative & agentic AI into real workflows. The natural extension of the advisory work above.
Probabilisticlearning & inference
Where it shows upManufacturing: floor copilotHealthcare: member servicesCPG: planner copilot
Production systems on the generative stack, chaining agents into workflows that actually hold up, retrieval-augmented generation over your own data, vectorization and embeddings, and code generation, engineered for accuracy and cost rather than a demo.
Agent chaining · RAG · vectorization · code-gen
Where it shows upCPG: demand & lead-timeAviation: demand & spillManufacturing: maintenanceHealthcare: throughput
Forecasting systems for businesses where being wrong is expensive, the right blend of statistical, ML and judgment-driven methods, tied to the decisions they drive.
Demand · lead time · supply · risk
Where it shows upCPG: shelf assortmentSports: personalization
From traditional recommenders to online, real-time learning, ranking and personalization that adapt to behavior as it happens instead of a model retrained once a quarter.
Recsys · ranking · online learning
Where it shows upAll sectors: validate AI bets
Designing the experiments, A/B and beyond, that let a business learn fast and trust the result, so AI investments are validated against outcomes, not opinions.
Where it shows upManufacturing: defect detectionHealthcare: risk & causal
The wider toolkit when a problem needs it, classification, anomaly detection, causal inference, NLP and computer vision, scoped to the decision rather than the technique.
Whatever the problem actually needs
Deterministicoptimization & decisions
Where it shows upAviation: network & fleetCPG: inventory & logisticsManufacturing: scheduling
One decision-science roof over pricing, operational and network optimization, the layer that turns a good forecast into a better decision.
Price · operational · network
Where it shows upManufacturing: line & capacityAviation: disruption recoveryCPG: network what-if
Discrete-event simulation and digital twins that let you stress-test a decision, capacity, throughput, the next disruption, against a faithful model of the operation before committing to it for real.
Simulation · capacity · what-if
The arc of an engagement
From a question to a running system.
01 Discover Run discovery jointly with the client team to find the one use case actually worth building. 02 Design Shape the model, workflow and interface side by side with the client's own experts. 03 Build & deploy Stand it up in production and wire it into the unglamorous systems it has to live with. 04 Adopt Stay until the planners and operators trust it and run it themselves, without me.
03 / End to end

Four capabilities, one accountable owner

We lead strategy and design ourselves, and bring trusted partners for build and scale.

Strategy & researchCore

Find the right problem.

Use-case discovery, roadmap and business case, plus the user research and service design that keep a solution anchored to real needs and real workflows.

The founder leads this personally, with academic advisors on call.

Data science & MLCore

Build the technical core.

Models, optimization and experiment design, delivered through hands-on capability in AI, data science and ML engineering, and the insight generation around them.

Senior practitioners build the core, with academic advisors on call.

Engineering & platformsWith partners

Make it robust.

Scaling resilient software, data and platform systems on modern architecture, so analytics and AI run reliably in production. Delivered with a chosen deployment partner.

Our practitioners direct; a deployment partner executes.

Product & deliveryWith partners

Turn it into something people use.

From strategic vision to execution, omnichannel products and experiences that land with the people on the floor, shaped together with delivery partners.

Delivered with a chosen product partner, under our direction.

04 / Industries

Built for the physical world.

Aviation, manufacturing, supply chain, consumer goods, healthcare and sports. The constrained operations where a wrong answer carries a real cost.

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