EGGKNITE is a AI & machine learning agency working with Los Angeles brands as a senior, remote team. We help the greater Los Angeles area companies put predictive models into production — without the overhead of a local retainer shop.
Los Angeles is a DTC and creator capital: beauty, wellness and lifestyle brands scaling on paid social and content. The constraint is rarely reach — it is proving which of that spend actually built enterprise value.
Los Angeles is a DTC and creator capital: beauty, wellness and lifestyle brands scaling on paid social and content. The constraint is rarely reach — it is proving which of that spend actually built enterprise value. That is the context we build AI & machine learning for.
We run as a distributed senior team, not a Los Angeles storefront — so your budget buys operators and engineering instead of a downtown office. We work inside your own accounts, on PT hours, and most clients never needed us in the room to hit their numbers.
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.
Scoring and recommendations, plus any model where a data problem is attached to revenue. Lead scoring, churn propensity, lifetime value, and demand forecasting trained on your closed-won history, plus catalog-trained recommendations that raise order value. Every use case is backtested against your own history before you pay.
Your own language models, grounded in your data, running in your cloud. 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.
RAG, fine-tuning, or both, chosen on the evidence and tuned to your domain. Retrieval-augmented generation when your knowledge changes daily, fine-tuning when a model must internalize your tone and judgment, and often both. Every tuned model is versioned and scored against a held-out set, so accuracy is a number you can see.
Sentiment, transcription, and classification across text, media, and calls. 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 unstructured media into structured signal in your dashboards.
Los Angeles's market over-indexes on DTC ecommerce, entertainment and beauty. The AI & machine learning playbook is not identical across them, so we tailor the audiences, offers and measurement to the sector you actually sell into.
We audit your data and rank every candidate use case by revenue at stake. You get a scored roadmap with one clear first build.
We build the pipelines, labels, and clean training sets the first use case needs. This is the step most vendors skip, and the one most failed projects trace back to.
Every model is backtested against your own history and a baseline it has to beat. If it cannot win, it does not ship.
Models deploy inside your stack, so scores and recommendations show up where your team already works. Monitored from day one.
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