Vector Dynamic

Service

AI that runs inside your software, not next to it.

We build software with AI built in: assistants, agents and knowledge bases powered by OpenAI, Claude, Gemini and open models, connected to your data and your tools. The goal is a feature people use every day, not a pilot that stalls.

Does this sound familiar?

Signs you need this

  • +You have documents and data nobody can search properly
  • +An AI pilot impressed in a demo but never reached real users
  • +You want AI inside your product and are not sure where to start

“Our AI pilot never made it into the real workflow.”

What we build

What this covers

01

AI features inside your product

Summaries, drafting, classification, recommendations and search added to software you already run.

02

Assistants and AI agents

Agents that use tools, call your APIs and complete multi-step tasks, with limits and review where it matters.

03

Knowledge bases and document search

Ask questions of your own documents and data, and get answers with sources you can check.

04

Chatbots and voice assistants

Customer and staff assistants over chat or voice, connected to your systems.

05

Computer vision and predictive models

Image and document recognition, forecasting and scoring models trained on your data.

06

Monitoring, evaluation and cost control

Quality checks before launch, monitoring after it, and spending limits so costs stay predictable.

Approach

How we approach it

01

Pick one valuable use case

We start with the task where AI saves the most time or earns the most, not with the technology.

02

Build with real data and measure

We test accuracy on your own examples before anyone relies on the output.

03

Run it with guardrails

Monitoring, cost limits and human review where mistakes are expensive.

FAQ

Common questions

Which AI models do you use?

OpenAI, Anthropic Claude and Google Gemini, plus open-source models. We choose by quality, cost, speed and your data-privacy needs, and design the system so a model can be swapped later.

How do you keep our data private?

We choose models and hosting around your privacy needs, keep credentials in your own accounts, and limit what data the model can see. Where needed we use providers whose terms exclude training on your data, or private deployments.

Tell us about the system you need.

Book a 30-minute call and leave with a clear next step, whether or not we work together.