cyberbricks

Start a build

Tell us what’s in the way.

Describe the work you want an agent, a data platform or a modernization effort to take on. Someone from our engineering team reads every request and replies with a first read on feasibility, the modules that fit and a sensible place to start.

Prefer email? Write to info@cyberbricks.ai.

What’s slowing you down? (optional)

We use what you send to reply to you and follow up on your inquiry. No mailing lists. See our privacy policyand terms.

How an engagement starts

  1. You tell us the problem. A short message is enough: the process, the systems involved and what good looks like.
  2. We reply with a first read. Whether it looks feasible, which modules fit and what we would need to see.
  3. A working session. Your process owner and someone who knows the systems, walking through the real workflow. No slides.
  4. A scoped Survey. About two weeks of workshops and system walk-throughs, quoted up front, ending in a ranked opportunity map you keep. Stop there if it doesn’t make sense to go on.

Questions people ask first

What does Cyberbricks do?

We design, build and run AI agents and the data and cloud platforms beneath them. Each capability is built as a module with defined inputs, outputs, tests and controls, so it fits the systems you already run.

What is a “module”?

A reusable component with a known job, for example answering with sources (Assist) or running a multi-step process end to end (Orchestrate). Each one has documented inputs and outputs, a test suite and its own guardrails.

We already have a stalled AI pilot. Can you help?

Yes. Pilots tend to stall at integration with permissions, data and existing workflows. We start there, and can review what you have before proposing anything new.

How is work priced?

Each stage is scoped and quoted before it starts. Survey and Blueprint are short, fixed pieces of work; Build runs in two-week sprints. You can stop after any stage and keep the deliverables from the stages you paid for.

Who owns what you build?

The deliverables of an engagement are yours to keep. The exact intellectual-property terms are set in each contract.

How do you handle our data?

We work inside your environment and permissions wherever possible, mask sensitive data before any model sees it, and log every prompt, tool call and output. We can sign a mutual NDA before reviewing anything sensitive.

Which AI models and clouds do you work with?

We choose per use case across major commercial model providers and open-weight models, on AWS, Azure or GCP. Modules are designed so a model can be swapped without rebuilding the workflow.

Are Callframe, Paperlift, Meterline and Gatekeep available?

Not yet. Each product shows its current stage on the home page. If one fits a problem you have, tell us through the form and we will keep you posted.