WELLNESS & PERFORMANCE · AI & MACHINE LEARNING

AI & Machine Learning for Wellness & Performance

We help Wellness & Performance teams put predictive models into production. Predictive LTV and churn models that prioritize retention spend and shape the subscription flows.

Book a strategy call →See what's included

10%

CVR — Science in Sport

20%

AOV lift

ROAS — Gold Collagen

Restriction is the design input here, not the surprise.

(01) THE APPROACH

Why ai & machine learning for Wellness & Performance is a different job

Predictive LTV and churn models that prioritize retention spend and shape the subscription flows.

Assume restriction as the starting condition, then build the engine that does not depend on ad approval. Lifecycle carries the revenue when paid is constrained. Predictive LTV and churn models decide where retention spend goes, and the subscription flows are built against the prediction rather than a flat rule.

Artificial intelligence only counts when it runs in production, changes what your team does next, and shows up in revenue you can measure against a clear baseline. Everything else is expensive theater.

(02) WHAT'S INCLUDED

The build.

Predictive Models & Custom Solutions

Scoring and recommendations, plus any model where a data problem is attached to revenue. We train models on your closed-won history: lead scoring, churn propensity, lifetime value, and demand forecasting, plus catalog-trained recommendations that raise order value and repeat purchase. If it is a data problem attached to revenue, we have built it: fraud detection, pricing optimization, anomaly detection. We backtest every use case against your own history before you pay.

Generative AI & Private LLMs

Your own language models, grounded in your data, running in your cloud. We deploy internal LLMs and retrieval pipelines over your documents, knowledge base, and warehouse, powering search, drafting, and answers your team can trust. Your data stays inside your environment, behind your access controls, and nothing is sent to public model providers, so the whole system runs in your own cloud.

Model Customization & Fine-Tuning

RAG, fine-tuning, or both, chosen on the evidence and tuned to your domain. We tune models to your data and domain: retrieval-augmented generation when your knowledge changes daily, fine-tuning when a model must internalize your tone, taxonomy, and judgment, and often both. We prove a well-grounded base model cannot already clear your accuracy bar before you pay to fine-tune, and every tuned model is versioned and scored against a held-out set, so accuracy is a number you can see.

Language, Vision & Audio AI

Sentiment, transcription, and classification across text, media, and calls. We build pipelines that classify tickets, reviews, calls, and leads, score sentiment, and route what matters to the right owner. Speech-to-text, video understanding, and image analysis turn media libraries and feedback into searchable, reportable data, so unstructured text, audio, and video become structured signal in your dashboards.

(03) PROOF

10%CVR

Science in Sport

fueling everyday athletes

35% BRAND AWARENESS · 20% AOV

TRUSTED BY 80+ COMPANIES

(04) HOW WE WORK

A plan, from day one.

Map the Money

We audit your data and rank every candidate use case by revenue at stake and by how ready the data actually is to support it. You get a scored roadmap with one clear first build. Data gaps that would sink a model get named here, with a plan to fix them, before anyone writes training code.

Fix the Foundation

Modeling on broken data produces confident, expensive nonsense, so we build the pipelines, labels, and clean training sets the first use case needs. Where tracking or identity is the real blocker, we fix that first rather than paper over it with a fragile model. This is the step most vendors skip, and the one most failed projects trace back to.

Prove It Offline

Before anything touches production, we backtest the model against your own history and set a baseline it has to beat. If it cannot win against your current approach, it does not ship. You see the honest expected lift before you commit to deployment.

Ship to Production

Models deploy inside your tech stack so scores, segments, and recommendations show up where your team already works. We monitor and review anything that touches a customer or a budget from day one.

(05) WHAT YOU GET

Deliverables that ship.

An internal LLM grounded in your own knowledge base, running in your cloud behind your access controls

Sentiment and classification pipelines that turn tickets, reviews, and calls into structured, reportable insight

A recommendation engine serving your site, email, and lifecycle flows from your own catalog data

Model documentation, drift monitoring, and retraining pipelines your team owns outright

Production lead, churn, and LTV scores synced to your CRM, updated automatically and visible in every sales view

(06) FAQ

Questions, answered.

Do you have AI & machine learning experience with Wellness & Performance companies?+

Yes. Our published work includes Science in Sport at 10% CVR. We run AI & machine learning inside a full-stack engagement built for Wellness & Performance Brands, so it is wired to the same measurement layer, CRM and first-party data the rest of your growth runs on — which is what makes the numbers defensible.

Agencies keep getting our accounts banned.+

Our email is 'good enough'.+

Do we need to fine-tune a model, or is RAG enough?+

Who owns the models, and does our data leave our environment?+

KEEP EXPLORINGWellness & Performance growth marketing →AI & Machine Learning — full service →Paid Media for Wellness & Performance →Data & Analytics for Wellness & Performance →Agentic AI for Wellness & Performance →

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