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
- Client inquiry received
- Relevant booking details assembled
- Reply drafted
- Awaiting your approval
Products
Find the right system for your team.
Hordago Labs
In pilotEvidence-first science.
Maps the published evidence for a target or a question, with the source attached to every claim. Hordago Labs also makes BioContext7: hash-verified bioinformatics skill bundles for AI agents, served over MCP.
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.
Inquiry
In developmentA client writes in. The message lands in one inbox instead of someone's phone.
Record
In developmentThe client record opens with contact details, stage, tags and the event details beside them.
Draft
In developmentA reply is drafted from the business's own details and tone, one draft per inquiry.
Approval
In developmentThe owner reads the exact message, edits it or approves it. The approved words are the words that send.
Human approvalProposal
In developmentThe client reviews proposal options in the portal and chooses one. Sending the proposal waits for a person.
Human approvalDeposit
In developmentThe deposit is invoiced and recorded against the client.
Job board
In developmentA paid deposit puts the job on the team board with a starter checklist.
Outcome
In developmentEdits, 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
Context
In developmentGather the records and permissions a task needs into one packet before an agent acts.
Approval
Human approvalIn developmentHold selected actions for a person, and record who decided and when.
Routing
In pilotSend each step to the right model for the task and the sensitivity of the data.
Evaluation
In developmentScore agents against suites and graders before trusting a change.
Feedback
In developmentCapture edits, rejections and outcomes from the people doing the work.
Next
Dataset snapshots
PlannedFreeze feedback and outcome data into versions a decision can cite.
Model registry
PlannedOne identity for every model, adapter and prompt, with its evaluation history.
Promotion gates
PlannedA candidate proves better on evaluation before it is given authority.
Training from outcomes
PlannedAdapt models on outcome data a customer has agreed to share.
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 workflowWhere 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.