Enterprise AI, from strategy to production
Houston, TX · Generative AI Engineering
Generative AI for Houston teams that finds answers in procedures, well files and clinical guidance, grounded in your documents.
Generative AI Engineering in Houston
Houston is the energy capital of the US, with refineries and chemical plants along the Ship Channel, the world's largest medical centre and NASA's mission control. Much of its data comes from operational systems where safety and security come first.
Where it fits
Find reports, logs and history for any well.
Operators get the current procedure quickly.
Built for Texas rules
Consent for sensitive data and assessments for high-risk processing.
Safeguards and a business associate agreement for anything touching patient 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. We use document recognition to turn scanned reports and drawings into searchable text, and check quality on a sample before relying on it.
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