Generative AI Development in Austin, TX | IoTree Minds
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Austin, TX · Generative AI Development

Generative AI development for Austin businesses

Generative AI for Austin teams: in-product assistants, engineering search and public service answers, grounded in your data and tested before release.

Clients

Trusted by government and industry

  • Asterix Energy
  • Aqozone Industries
  • Cuarzo
  • Fresher Profiles
  • Gill Instruments
  • Government of India
  • Government of Karnataka
  • Karnataka State Co-operative Agricultural and Rural Development Bank
  • Karnataka State Pollution Control Board
  • Gift Links
  • ShubhKalyan
  • Shreeraj Gifts
  • Try Giraffes
  • Tekpro
  • RapidMindPower

Generative AI Development in Austin

LLM features built to ship

Austin pairs fast-growing software companies with semiconductor fabs, state government and a growing health sector. Texas now has its own AI governance law on top of its privacy act, so AI plans here need to account for both.

IoT and Automation

Bridging Business and Technology in the Australian Home Automation Market

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Ecommerce And Retail

Revolutionizing Gifting Solutions with a Seamless Ecommerce Experience

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Textile Industry

Transforming Tradition with Technology – A Digital Revolution in the Textile Industry

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Data Analytics

Unlocking Real-Time Data Potential with Advanced IoT Solutions: A Success Strory

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Community Building

Building Thriving Communities with WhatsApp Automation

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Hotels and Restaurants

Redefining Hospitality with Cutting-Edge IoT Solutions for Boutique Hotels

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Psychology

Transforming Wellness: An innovative App for solving any problem through subconscious mind

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Banking Services

Transforming a 100 year old co-operative bank to go digital

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Where it fits

What Austin teams build with it

SaaS and software

In-product copilot

Help users get more done inside your product.

  1. 1Grounded in each customer's data
  2. 2Takes allowed actions
  3. 3Measures quality and cost
Semiconductors and hardware

Engineering knowledge search

Find past failure analyses, specs and procedures.

  1. 1Indexes reports and specs
  2. 2Answers with references
  3. 3Respects export controls
Government and public sector

Public information assistant

Clear answers from official guidance, with sources.

  1. 1Indexes official guidance
  2. 2Answers in plain language
  3. 3Discloses that it is AI

Have a use case like these?

Tell us what your team does by hand today, and we'll show you how we would approach it.

Book a free consultation

What we build

What our generative AI work covers

LLM Integration into Apps

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.

Semiconductor and hardware makers

Export controls

Controlled technical data kept away from tools and people it may not reach.

Healthcare providers, plans and their vendors

HIPAA

Safeguards and a business associate agreement for anything touching patient data.

Working together · Central Time

Working with us from Austin

Your morning is our evening, so we meet live at the start of your day and build while you sleep.

  1. 8–10 AM CT Live call Review progress and make decisions together
  2. Your working day Your feedback Your team tests and comments in writing
  3. Overnight CT We build Progress 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.

Send your requirements

How we work

From first conversation to production

  1. 1

    Discovery call

    We learn what you want AI to answer, write or find, and which data it needs.

  2. 2

    2-week pilot

    A working solution on your own data, tested on real questions.

  3. 3

    Build

    We connect your systems and channels, and add access control and monitoring.

  4. 4

    Launch and improve

    We go live, review answers with your team and keep improving it.

Get a clear plan for your project

A free consultation, then a written estimate of scope, timeline and cost.

Book a free consultation

Testimonials

What our clients say

FAQ

Questions from Austin teams

Ask us something else
Can generative AI run in our own cloud account?

Yes. We can host models or use managed model services inside your cloud account, keeping data within your security controls.

How do you keep answers accurate?

Answers are grounded in your approved sources, linked to them, and tested against a set of real questions before launch and after every change.

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.

Get in touch

Tell us your requirements

Share what you'd like to build or automate. We'll reply by email to set up a free consultation.

  • Free consultation, no commitment
  • Talk to the people who will build it
  • Your details stay with us