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Lamiak

LAMIAK · Own the learning loop

AI systems built around your work.

We design, implement, and operate AI workflows for service businesses, enterprise teams, and life sciences, around your tools, your people, and your approval rules.

Andiamo workflow

Illustrative example

  1. Client inquiry received
  2. Relevant booking details assembled
  3. Reply drafted
  4. Awaiting your approval
Synthetic dataAn illustrative example on synthetic data. It is not a live system or a customer result.

One workflow · Andiamo

From a request to a reviewed result.

One job through Andiamo, from the first inquiry to the recorded outcome. Each step carries its current status, and the steps that wait for a person say so.

  1. Inquiry

    In development

    A client writes in. The message lands in one inbox instead of someone's phone.

  2. Record

    In development

    The client record opens with contact details, stage, tags and the event details beside them.

  3. Draft

    In development

    A reply is drafted from the business's own details and tone, one draft per inquiry.

  4. Approval

    In development

    The owner reads the exact message, edits it or approves it. The approved words are the words that send.

    Human approval
  5. Proposal

    In development

    The client reviews proposal options in the portal and chooses one. Sending the proposal waits for a person.

    Human approval
  6. Deposit

    In development

    The deposit is invoiced and recorded against the client.

  7. Job board

    In development

    A paid deposit puts the job on the team board with a starter checklist.

  8. Outcome

    In development

    Edits, rejections and results are recorded, so the next draft starts from what the owner actually wanted.

Lamiak Core

Powered by Lamiak Core.

The shared foundation for context, permissions, execution, and evaluation.

Today means built, in part or in full, and exercised. Next means designed, not yet built.

Today

  1. Context

    In development

    Gather the records and permissions a task needs into one packet before an agent acts.

  2. Approval

    Human approvalIn development

    Hold selected actions for a person, and record who decided and when.

  3. Routing

    In pilot

    Send each step to the right model for the task and the sensitivity of the data.

  4. Evaluation

    In development

    Score agents against suites and graders before trusting a change.

  5. Feedback

    In development

    Capture edits, rejections and outcomes from the people doing the work.

Next

  1. Dataset snapshots

    Planned

    Freeze feedback and outcome data into versions a decision can cite.

  2. Model registry

    Planned

    One identity for every model, adapter and prompt, with its evaluation history.

  3. Promotion gates

    Planned

    A candidate proves better on evaluation before it is given authority.

  4. Training from outcomes

    Planned

    Adapt models on outcome data a customer has agreed to share.

Today: context, approval, routing, evaluation and feedback. Next: dataset snapshots, model registry, promotion gates and training from outcomes. Learning feeds back into context.
Explore Lamiak Core

Trust

Clear boundaries for what AI can do.

Where a capability carries the human approval mark, it is built to hold the exact draft or action until an owner or admin approves or rejects it, and to record who decided and when. Every capability shows its status beside it, so what is in development reads apart from what is planned.

Build the system your company will keep.

Discuss your workflow

Where the name comes from

In Basque folklore, the Lamiak built bridges through the night. We build the bridge between an AI experiment and the work a company relies on.