AI & software engineering studio · Irving, TX

Practical AI,
engineered to ship.

We design, build and run AI-powered products, from the first working prototype to a system your team relies on every day.

hetuh / delivery.pipeline

$ hetuh run --project "your-idea"

  1. discovergoals, data, constraints
  2. prototypea working demo on real data
  3. buildsecure, tested, production-grade
  4. operatemonitor, evaluate, improve

✓ ready when you are

AI & LLM engineering Web & mobile products Cloud, data & DevOps Strategy & UX

01 / Services

One team for the whole build.

AI is only useful when it lives inside real software. We handle the model, the product around it and the infrastructure under it.

AI & LLM applications

Assistants, agents and automation grounded in your own data, with evaluation and guardrails built in from day one.

  • LLM integration
  • RAG & knowledge assistants
  • Agents & workflow automation
  • NLP
  • Computer vision
  • Predictive analytics
  • Fine-tuning & evaluation
  • MLOps & deployment

Web & mobile products

Fast, accessible web apps and native or cross-platform mobile apps, plus the APIs that connect them.

  • Web apps & PWAs
  • iOS & Android
  • React Native & Flutter
  • APIs
  • Modernization

Cloud, data & DevOps

Cloud architecture, data pipelines and automated delivery on AWS, Azure and Google Cloud.

  • Migration
  • Data engineering
  • CI/CD
  • Infrastructure as code

Strategy, IT consulting & UX

Find the use cases worth building, align technology with business goals, and design interfaces people actually enjoy using.

  • AI strategy
  • IT consulting
  • Digital transformation
  • UI/UX design

02 / What we can build

Ideas we can have running for you.

A few examples of the systems we build. Pick one to see how it could look inside your business.

Support assistant
What is the refund window for annual enterprise plans?
Annual enterprise plans can be refunded within 30 days of the start date. After that, unused months are credited to the account instead.
policy-handbook.pdf · p.12billing-faq.md
Draft a reply to the customer.
  • Grounded in your documents, with a source on every answer
  • Respects who is allowed to see what
  • Measured against a test set before it goes live

Illustrative examples of solution types, not client projects.

03 / How we work

Prove it small. Then build it right.

Every engagement starts with something you can see and test, so decisions are made on evidence, not slides.

  1. 01

    Discover

    We map your goals, data and constraints, and pick the use case with the clearest payoff.

  2. 02

    Prototype

    A working demo on your real data, so you can judge quality before committing to a full build.

  3. 03

    Build

    Production engineering: security, testing, integrations and a clean handover.

  4. 04

    Operate

    Monitoring, evaluation and steady improvement once real users arrive.

Start here

Pilot

A focused, fixed-scope project that answers one question: does this work for us?

Long term

Partner

An ongoing team that extends yours, from new features to operations and support.

04 / Why Hetuh

How we show up.

The commitments behind every engagement, whatever its size.

i

You own what we build

Code, models, prompts and documentation are yours at handover.

ii

Security by default

Your data stays under your control, with access rules designed in from the start.

iii

Evidence over hype

We measure AI quality against real test cases and tell you plainly when AI is the wrong tool.

iv

Direct access

You work with the engineers building your system, not a chain of account managers.

Tools we work with

OpenAILangChainPyTorchTensorFlowHugging Facescikit-learnKerasPythonNode.jsTypeScriptReactNext.jsVue.jsAngularTailwind CSS
AWSAzureGoogle CloudDockerKubernetesJenkinsPostgreSQLMongoDBMySQLRedisElasticsearchGraphQL.NETJavaRuby on RailsSwiftKotlinFlutterReact Native

05 / FAQ

Good questions.

Still wondering about something? Ask us directly below.

What kinds of projects do you take on?

AI features and assistants, automation of document-heavy work, forecasting and analytics, and the web, mobile and cloud software around them. If you're not sure AI fits your problem, that's a good first conversation.

Do we need clean data before we start?

No. Part of discovery is looking at the data you have and deciding what's usable, what needs work and what can wait.

How do you handle our data and privacy?

Your data stays in environments you control wherever possible. We choose model providers and hosting to match your security and compliance needs, and we document how data flows through the system.

How is pricing structured?

Pilots are fixed-scope. Larger builds are scoped in milestones, and ongoing partnerships are billed monthly. We'll recommend the model that fits once we understand the work.

Can you work alongside our in-house team?

Yes. We can lead the build, pair with your engineers, or hand over a system your team runs on its own.

06 / Contact

Have a problem worth solving?

Tell us what you're working on. We'll reply with honest thoughts on whether and how we can help.

  • EmailOur email address, shown as an image
  • Office8787 N MacArthur Blvd Ste 120A
    Irving, Texas 75063-5406
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