VARTEQ

Transform with Various Technologies

AI Development Services

VARTEQ delivers AI development services, including generative AI development services, AI software development services, and custom AI development services built for real business workflows.

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ISO/IEC 27001 certified

AI coding tools we use

  • Claude
  • GitHub Copilot
  • Cursor
  • OpenAI
  • Gemini
  • Windsurf

What we build

AI Development Services We Provide.

  • 01

    Generative AI Development

    Assistants, summaries, and generated material built on models such as OpenAI, Claude, and Gemini, connected to your own records and documents, with review steps where a person needs to decide.

    See it in a project: Education operations platform
  • 02

    Custom AI Development

    Models trained on your data for one job, such as recognizing products in images and video or scoring deals from years of history, delivered behind an API your systems can call.

    See it in a project: Computer vision API
  • 03

    AI Software Development

    The software around the model: data collection and labeling, training and evaluation pipelines, human review for edge cases, and dashboards for progress and cost.

    See it in a project: Internal developer platform
  • 04

    AI Document Processing

    Reading, classifying, and extracting data from business documents, such as mortgage files, and passing it to the systems that need it.

    See it in a project: AI document processing

Results from these projects

What the work changed.

Tools and technologies

What Our AI Projects Run on.

We use AI tools to help write, test, and review code, while our engineers make the decisions and remain accountable for every release.

  • Models and APIsChosen per task

    • OpenAI
    • Anthropic Claude
    • Google Gemini
    • DeepSeek

  • Machine learningTrained on your data

    • TensorFlow
    • Convolutional neural networks
    • Reinforcement learning
    • Human review loops

  • IntegrationInto the systems you run

    • Model Context Protocol (MCP)
    • REST and web APIs
    • Microsoft Azure
    • AWS

  • AI in our deliveryEngineers stay accountable

    • Claude Code
    • Cursor
    • GitHub Copilot

Our work

Related Case Studies.

All case studies

Ways to work together

AI Development, at the level of involvement you choose.

Hand over a few seats, a whole team, or the entire project. The bar shows how much of the work we take on.

  1. VARTEQ takes on 1 of 3 parts of the work

    Staff augmentation

    Our engineers join your in-house team and work inside your process.

    You lead
    Roadmap, process, and day-to-day management
    We take on
    Engineers with the skills your team is missing
    How it works
  2. VARTEQ takes on 2 of 3 parts of the work

    Dedicated team

    A stable VARTEQ team that works on your roadmap long term and grows or shrinks as plans change.

    You lead
    Product priorities and the roadmap
    We take on
    Running the team and its delivery
    How it works
  3. VARTEQ takes on 3 of 3 parts of the work

    End-to-end project

    We take the project from scope to release and support, with milestones agreed up front.

    You lead
    Goals, scope, and sign-off at each milestone
    We take on
    Architecture, build, testing, release, and support
    How it works

Why VARTEQ

Built for the Long Run.

Companies keep building with VARTEQ year after year. Our longest client relationship has lasted more than a decade.

Clients served
200+
Building custom software
12 years
ISO/IEC 27001 certified information security management system
Certified information security management.

FAQ

What Tech Leaders Ask About AI Before Bringing Us in.

Short answers to what clients usually ask before a first call.

Have a question that isn't here?

Ask us directly. A partner will reply to set up a first call.

Ask uscontact@varteq.com
Which AI models do you work with?

We choose the model for the job. Projects have used OpenAI, Anthropic Claude, Google Gemini, and DeepSeek, and custom models trained on a client's own data, such as convolutional neural networks built with TensorFlow.

Can AI tools work with our own data safely?

Yes. We connect AI tools to your records, documents, and policies through integrations such as the Model Context Protocol (MCP), under your access rules. VARTEQ is ISO/IEC 27001 certified, and healthcare projects follow HIPAA requirements.

Can you build a custom model on our data?

Yes. Examples include product recognition in images and video at 97.2% detection accuracy, and predictive deal scoring trained on years of auction history. Models are delivered behind an API your systems can call.

How do you keep people in control of AI decisions?

Edge cases and low-confidence outputs go to human reviewers, and their feedback is used to improve the model. In our own delivery, AI tools help write, test, and review code, while our engineers make the decisions and remain accountable.

Who owns the code and intellectual property?

You do. The code, documentation, and intellectual property we create for you are transferred to you under the contract.

What engagement models do you offer?

End-to-end projects, dedicated development teams, and staff augmentation, where our engineers join your in-house team and work inside your process.

How do you handle security and compliance?

VARTEQ is ISO/IEC 27001 certified, and our delivery follows HIPAA requirements on healthcare projects. Access control, code review, and dependency checks are part of every release.

Can we meet the engineers before signing?

Yes. Before any contract, you meet the engineers who would work on your project and can talk with them about your system and approach.

Services

Other Services.

All services

Get started

Let's Talk About Your Project.

Schedule a Callcontact@varteq.com