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AI Development Company in Austin, Texas

Akveo builds AI agents, assistants that answer from your own documents, and AI features inside the software your Texas team already uses. Projects are contracted with Akveo Inc., which has an office at 5900 Balcones Drive #21729, Austin, TX 78731.

Talk About Your AI Project
  • Felmo
  • PwC
  • ZF Openmatics
  • Skrivanek
Typical AI proof of concept
4 weeks
Engineers, designers, and QA specialists
70+
Software projects delivered
200+
[ AI Services ]

AI Development Services for Texas Companies

Six types of AI work we deliver, each starting with a measurable task your team does by hand today.

An engineer working at a computer with code on several screens

Agents that call your tools and APIs to finish a task from start to end, such as triaging tickets, preparing quotes, or updating records.

What we deliver:

  • AI agent development with tool calling
  • Approval steps before actions that cost money or reach customers
  • Logs of every tool call for review
  • Fallback to a person when the agent is unsure
[ Case Studies ]

AI Systems We've Built

AI agents and assistants running in production for manufacturing, automotive, and insurance clients.

ManufacturingRAG

Factory Copilot for a Manufacturing Platform

50% faster data retrieval

Plant managers had to search dashboards, SQL databases, and thousands of PDFs to answer simple questions. We built an assistant on Azure OpenAI, Semantic Kernel, and Azure AI Search that answers from live telemetry, SAP, Power BI reports, and equipment manuals, with role-based security.

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Factory Copilot for a Manufacturing Platform
AutomotiveAI Agents

AI Mechanic Agent for CarmyAI

65% token cost savings via prompt caching

CarmyAI wanted a virtual mechanic that gives answers specific to each vehicle. We built a Claude agent with 24 diagnostic tools, license plate lookup across 9 countries, streaming explanations, and token-based billing with Stripe subscriptions.

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AI Mechanic Agent for CarmyAI
InsuranceAI Integration

AI Proposal Platform for Insurance Brokers

1,500+ broker hours saved a year

A US insurtech startup had a strong AI engine for quote comparisons and proposals, but a confusing web app around it. We rebuilt the interface in React and Python with a new AI assistant chat, in-app document previews, role management, and Stripe billing.

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AI Proposal Platform for Insurance Brokers
Dmitry Klim, Head of Growth at Akveo
Dmitry KlimHead of Growth

Have an AI Project in Austin?

Describe the task you want AI to handle, and our team will get back to you within 1 business day with next steps and a rough estimate.

[ Why Akveo ]

Why Texas Teams Pick Akveo for AI

Engineers who ship AI inside working software, with a US contract and a clear cost for every model call.

Measured Before It Ships

Each AI feature is tested against a set of real questions or documents from your business, and we share the accuracy results with you.

Known Cost per Request

We track token use from the first prototype, so you know what each answer or processed document costs before you scale it.

Your Data Stays Under Control

Models can run in your own cloud account, personal data can be masked before any model call, and access follows your existing roles.

Full Software Team

Besides AI engineers, the same team includes backend, frontend, and QA specialists who build the product around the model.

No Lock-In to One Model

We keep model calls behind a thin layer, so you can switch between OpenAI, Claude, or another provider as prices and quality change.

[ How We Work ]

From Use Case to AI in Production

Every step gives you numbers to decide on, so the project grows only when the AI proves it works.

  1. Pick the Use Case

    Tell us which task takes too much manual time. Our team replies within 1 business day and asks for a few real examples.

  2. Check the Data

    We look at the documents, databases, and systems involved, and agree on a success metric and a budget cap.

  3. Proof of Concept

    In about 4 weeks, from $10K, you get a working prototype on your data with accuracy and cost figures.

  4. Build in Sprints

    Two-week sprints with a demo, one project manager, and a shared Slack channel for questions.

  5. Production Rollout

    Security, monitoring, user access, and integrations. A production AI system usually takes 3 to 4 months, from $60K.

  6. Monitor and Improve

    We track answer quality and cost after launch, update prompts and models, or hand everything to your team.

[ Testimonials ]

Why Clients Stay with Us

95% of our partners continue working with us beyond the initial scope and more than 70% stay with us for 2+ years.

Michael Bruns

A partner who thinks along with you

I’ve worked with Akveo on multiple small and large-scale projects over the last few years. Akveo is innovative, agile, and reliable. If you are looking for a development partner who thinks along with you, you will enjoy working with Akveo.

Michael BrunsPartner, PwC
[ FAQ ]

Frequently Asked Questions

Start Your AI Project

Tell us which process you want to automate and what data it uses. We will reply with questions, a rough budget, and a plan for a proof of concept.

Dmitry Klim
Dmitry Klim
Head of Growth
Clutch
5900 Balcones Drive #21729, Austin, TX 78731[email protected]+1 (512) 921-9631