Enterprise AI, from strategy to production
Atlanta, GA · Generative AI Engineering
Generative AI for Atlanta teams: agent assist for care centres, production paperwork and health guidance search, grounded in your approved content.
Generative AI Engineering in Atlanta
Atlanta processes a large share of the country's card payments, moves freight through one of the world's busiest airports and a major logistics network, and is home to public health institutions and a big film and media industry. AI here runs on sensitive, high-volume data.
Where it fits
Care agents get the right answer mid-call.
Call sheets, logs and reports drafted from source data.
Staff find the current guidance quickly, with sources.
Built for Georgia rules
Card data kept out of AI prompts and logs, with tight access control.
A written security program covering every system that handles customer financial data.
Safeguards and a business associate agreement for anything touching patient 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, under HIPAA safeguards: a business associate agreement, restricted access and models that do not retain your data.
Answers are grounded in your approved content, tested against real questions, and monitored after launch.
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