AI integration services that keep your data in your own cloud.

Vdasoft adds AI assistants, document automation and smart features to the software your business already runs, deployed on Azure OpenAI or AWS Bedrock inside your own account.

Your Azure or AWS account DocumentsPDFs, wikis, email Your apps.NET, CRM, ERP Private search indexYour data, encrypted AI modelAzure OpenAI or Bedrock Your teamand customers
How a private AI assistant works: nothing leaves the account you control.

What AI can do for your business

Practical AI projects that small and mid-sized companies can launch in weeks, not quarters.

AI assistant on your company data

A chatbot for staff or customers that answers from your own documents, policies and product information, with sources shown.

Example: support agents find answers in seconds instead of searching old tickets.

Document processing automation

Pull data from invoices, contracts, forms and emails, then send it straight into your systems.

Example: invoices entered into accounting software without manual typing.

AI features in your existing software

Add search, summaries, recommendations or writing help to .NET, ASP.NET Core and React apps without a rebuild.

Example: a one-click summary of every customer record in your CRM.

AI agents for repetitive workflows

Automate multi-step tasks like lead qualification, report drafting or ticket triage, with a person approving key steps.

Example: incoming leads sorted and routed before your team starts the day.

Why companies choose Vdasoft for AI

Your data stays yours

AI runs inside your own Azure or AWS account. Your data is not used to train public models.

Running costs you can predict

We pick the smallest model that does the job, cache repeated answers and set usage limits, so AI doesn't blow up your cloud bill.

Built into what you have

We are .NET, Azure and AWS engineers first, so AI connects cleanly to your existing apps and databases.

Fixed-price AI packages

Clear scope and price up front. Start small, prove the value, then grow.

Not sure where to start

AI readiness review

$2,500
  • Review of your processes, data and systems
  • Top 3 AI opportunities ranked by value
  • Cost and timeline estimate for each
  • Delivered in 1–2 weeks
Book a review
Most popular

AI assistant pilot

$8,500 starting price
  • AI assistant or automation on your own data
  • Deployed in your Azure or AWS account
  • Live with real users in 4–6 weeks
  • Monthly running cost estimate before launch
Start a pilot
After launch

AI care retainer

$750 /month and up
  • Monitoring, updates and accuracy checks
  • Usage and cost tuning every month
  • Small new features as you need them
  • Cancel anytime
Ask about support

From idea to live AI in six weeks

You see working software early, so you can measure the value before investing more.

  1. Week 1

    Review

    We pick the one task where AI saves the most time or money.

  2. Weeks 2–3

    Build

    We connect your data and build the first working version.

  3. Weeks 4–5

    Test

    Your team uses it on real work while we tune accuracy and cost.

  4. Week 6

    Launch

    Go live with monitoring, usage limits and a clear cost report.

AI projects we've delivered

Python ML and .NET

AI-powered analytics dashboard

Machine learning forecasts surfaced inside an existing .NET product, giving users real-time predictions without leaving the app.

Python and .NET integration

Financial services portal

Python risk models connected to a secure .NET client portal, with a 50% performance improvement over the previous system.

AI integration questions

Is our data safe when you add AI?

Yes. We deploy AI models through Azure OpenAI or AWS Bedrock inside your own cloud account, so your documents and customer data stay under your control and are not used to train public models.

How much does an AI integration project cost?

An AI readiness review is a fixed $2,500. A working AI assistant pilot on your own data starts at $8,500 and takes 4 to 6 weeks. Ongoing support starts at $750 per month.

Can you add AI to our existing software?

Yes. Most of our AI work adds features to software clients already run, including .NET, ASP.NET Core and React applications, without a rebuild.

How do you keep AI running costs under control?

We choose the smallest model that does the job well, cache repeated answers, set usage limits and show you a monthly cost estimate before launch.

How long until we see results?

A pilot is usually live for real users within 4 to 6 weeks, so you can measure time saved before committing to a larger rollout.

Find out where AI will save you the most.

Tell us about one task your team repeats every day. We reply within one business day.

Prefer email? support@vdasoft.com