Enterprise AI, from strategy to production
Minneapolis, MN · Generative AI Engineering
Generative AI for Twin Cities teams: member service answers, product content and regulatory drafting, grounded in your approved sources.
Generative AI Engineering in Minneapolis
The Twin Cities host an unusual number of national headquarters: big-box retailers, one of the largest health insurers, medical device makers, food and agribusiness giants and regional banks. Minnesota's privacy law also gives people the right to question decisions made by profiling.
Where it fits
Service reps get benefit answers with sources.
Product descriptions drafted from item data.
Built for Minnesota rules
A right to question profiling decisions and see the data behind them.
Safeguards and a business associate agreement for anything touching patient data.
A written security program covering every system that handles customer financial data.
Working together · Central Time
Your morning is our evening, so we meet live at the start of your day and build while you sleep.
How we work
We agree what a good answer looks like and build a test set.
We connect trusted sources and design retrieval around them.
We measure accuracy, safety and cost, and iterate until it holds up.
We launch with monitoring and feedback loops that keep it improving.
Yes, under HIPAA safeguards: a business associate agreement, restricted access and no retention of your data by the model provider.
Retrieval-augmented generation (RAG) finds the most relevant passages in your own content and gives them to the language model with the question, so answers are grounded in your data and can cite their sources.
Often not. Good retrieval and prompt design solve most enterprise use cases. We recommend fine-tuning only when evaluations show it clearly improves quality, cost or speed.
We design around your security requirements: private deployments where needed, access controls applied to retrieval, no training on your data without consent, and full logging.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
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