Demand Forecasting
Churn Prediction
Price Prediction
Conversion Prediction
Data Pipeline & Model Training
Agentic Coding Coaching
A language model that actually understands your business
General-purpose LLMs get you 80% of the way but fall short on domain-specific tasks. They hallucinate industry terms, miss your internal conventions, and give generic answers when you need precision. The gap between impressive demo and reliable in production is not a better prompt. It is expertise and finetuning.
We finetune language models on your data: your documents, your terminology, your standards. You get a model that performs like a domain expert instead of a generalist, with higher quality outputs, fewer mistakes, and a better fit for your workflow.
of generative AI projects are abandoned after proof of concept, before they reach production. Gartner, 2024.
We close the gap between proof of concept and production
Companies already leveraging LLMs are faster, with smaller teams and lower costs
Every customer interaction requires a response. As volume grows, so does the team and the cost. An LLM trained on your products, policies, and tone handles routine communication at any volume.
Response times drop, costs stay flat, and your team focuses on the cases that actually need a human.
General-purpose LLMs know everything in general and nothing about your business specifically. A model finetuned on your data learns how your business actually works.
Outputs that are right first time, without correction.
The volume of documents, requests, and content your business generates keeps growing. The team does not. An LLM handles the routine volume at any scale, without adding headcount.
Output scales with demand, not with hiring.