Genex Tower in New Belgrade, photographed from below

AI AGENTSBUILTinto yourproduct.

ALTECH builds product-native AI agents that understand a user's goal, plan the work, and operate your software using the capabilities your team already owns.

An agent that can actually use your product.

The chat is only the interface. The agent reads the situation, plans toward the user's goal, and works across the product through capabilities built from your real code, data, permissions, and business rules.

Understand the goal.

Work from the result the user wants, not a fixed sequence of clicks.

Work across the product.

Find and combine the right capabilities as the task develops.

Complete useful work.

Act, observe, ask for approval when needed, and hand back a result.

The depth of your product, available through one agent experience.

One request.The whole product.

A customer asks the agent to prepare a new workspace for launch: bring across the existing rules, connect the right data, set the team's access, and surface anything that still needs approval.

A working server rack with network equipment and cables
  1. Understand the account, the outcome, and the constraints.

  2. Choose and combine capabilities from across the product.

  3. Make the changes, ask for approval, and return the completed work.

The agent is not another feature.It is a new way to use the product.

Aleksandar Mijatović, founder of ALTECH

Here beforethe hype.

I'm Aleksandar Mijatović. I've been building conversational AI since 2018. The labels changed. The hard parts didn't: context, state, integrations, and reliability.

ALTECH is small on purpose. You won't meet a salesperson and get handed to a junior. I take the first call, open the repository, write the change, and stay through the release.

LinkedIn ↗

Users ask.The agent works.

A product link and one sentence about what users should be able to accomplish is enough to start.

HELLO@ALTECHAGENTS.COM