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.
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.
Practical AI projects that small and mid-sized companies can launch in weeks, not quarters.
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.
Pull data from invoices, contracts, forms and emails, then send it straight into your systems.
Example: invoices entered into accounting software without manual typing.
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.
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.
AI runs inside your own Azure or AWS account. Your data is not used to train public models.
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.
We are .NET, Azure and AWS engineers first, so AI connects cleanly to your existing apps and databases.
Clear scope and price up front. Start small, prove the value, then grow.
You see working software early, so you can measure the value before investing more.
We pick the one task where AI saves the most time or money.
We connect your data and build the first working version.
Your team uses it on real work while we tune accuracy and cost.
Go live with monitoring, usage limits and a clear cost report.
Machine learning forecasts surfaced inside an existing .NET product, giving users real-time predictions without leaving the app.
Python risk models connected to a secure .NET client portal, with a 50% performance improvement over the previous system.
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.
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.
Yes. Most of our AI work adds features to software clients already run, including .NET, ASP.NET Core and React applications, without a rebuild.
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.
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.
Tell us about one task your team repeats every day. We reply within one business day.
Prefer email? support@vdasoft.com