Enterprise AI, from strategy to production
Pittsburgh, PA · Generative AI Engineering
Generative AI for Pittsburgh teams: clinical guidance search, research assistants and engineering knowledge tools, grounded in your sources.
Generative AI Engineering in Pittsburgh
Pittsburgh turned its industrial base into a centre for healthcare, banking, robotics and AI research, anchored by large health systems, national banks and top universities. Its manufacturers and energy companies still run on heavy engineering data.
Where it fits
Find past test results, designs and fixes.
Staff find current guidance with sources.
Built for Pennsylvania rules
Safeguards and a business associate agreement for anything touching patient data.
A written security program covering every system that handles customer financial data.
Security safeguards and prompt notice if personal data leaks.
Working together · Eastern 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. We choose between hosted and open-weight models based on your data, cost and quality needs, and test both.
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.
Let's connect