Generative AI for Dallas-Fort Worth teams: policy and procedure answers for care centres, lease abstraction and internal knowledge search, grounded in your documents.
Dallas-Fort Worth is a headquarters region: banks and insurers, telecom carriers, airlines and logistics networks, energy firms and national retailers all run large back offices here. That scale is exactly where AI agents and better data pay back fastest.
Answers with sourcesEvery answer links to the document behind it.
Tested before launchAccuracy measured on a test set you agree.
Access follows rolesPeople only see answers from what they may read.
Our work
Projects we've delivered across industries
Real projects for real clients, one case study at a time.
Adding GenAI features into existing web apps, mobile apps, ERPs, and CRMs, such as summarization, content drafting, smart search, and image generation.
Built for Texas rules
Regulations we design around
Businesses handling Texans' data
TDPSA
Consent for sensitive data and assessments for high-risk processing.
Businesses using AI in Texas
TRAIGA
Prohibited AI uses, with added duties for government AI.
Banks, lenders, fintechs
GLBA Safeguards
A written security program covering every system that handles customer financial data.
Working together · Central Time
Working with us from Dallas
Your morning is our evening, so we meet live at the start of your day and build while you sleep.
8–10 AM CTLive callReview progress and make decisions together
Your working dayYour feedbackYour team tests and comments in writing
Overnight CTWe buildProgress is ready for your next morning
Want to see how a week with us would look?
Tell us your hours and your project, and we'll plan the live time around your day.
Can agent assist work with our contact centre platform?
Yes. We connect to your contact centre and CRM through their APIs, so suggestions appear in the tools agents already use.
How do you handle customer data in generated summaries?
Summaries only include what is needed, sensitive fields are masked, and everything stays in systems covered by your security program.
What does a generative AI development company do?
A generative AI development company designs, builds and runs AI that writes, answers and summarizes for your business. We build chatbots, knowledge assistants on your own data and GenAI features for your apps, and test them for accuracy before launch.
What does generative AI consulting include?
We help you find the use cases worth building, check whether your data is ready, choose the right models, and estimate cost and timeline. Then we can build the first solution with you, often starting with a 2-week pilot.
Can I hire generative AI developers for my own project?
Yes. You can hire our generative AI developers to build a new solution, or to work alongside your team on one you have already started.
What is RAG and why does it matter?
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 show their sources.
Do we need to fine-tune a model?
Often not. Good retrieval and prompt design solve most business use cases. We recommend fine-tuning only when tests show it clearly improves quality, cost or speed.
How do you keep our data private?
We design around your security rules: private deployments where needed, access control on every answer, no training on your data without your consent, and full logging.
How long does a generative AI project take?
A chatbot or knowledge assistant for one use case usually takes 2 to 4 weeks. Larger solutions across several systems usually take 6 to 10 weeks. We often start with a 2-week pilot.
