Consulting
Private AI, Hosted With You
Makina's consulting practice designs and runs private AI deployments, chooses and evaluates the models, and builds the custom workflows agents take on, on infrastructure you control.
What we do. Three practices, and the work that makes them hold up in production.
Private AI deployments
We size, source and install the infrastructure: GPUs and servers through Exos Private Cloud or your own, with Operator, the agents' computers and your models on them.
Custom workflows
We map the work you want to hand over and build the workflows agents take on, with approvals wherever a person should decide.
Model selection and evaluation
We test open-weight and hosted models on your own tasks and keep the ones that do the work well, at a cost you can carry.
Authority and approvals
We design who may approve what, which actions always wait for a person, and how authority grows as the evidence builds.
Records your reviewers can use
We set up the journal, the receipts and the replay your risk and compliance teams need to review the work.
Training and handover
We train your team to run it, hand it over when they are ready, and stay on to support it as it grows.
Autonomy Is a Portfolio of Permissions
Agents earn autonomy one kind of work at a time. We place each workflow on this scale, and move it only when the evidence and the controls are there.
How We Work
Three kinds of engagement. Most start with an assessment; some go straight to a pilot.
Talk to us- 01
Assess
A focused engagement to map your data, workloads, risk and infrastructure, and to decide what runs where: on your hardware, on Exos Private Cloud, or in Makina's cloud.
- 02
Prove
One consequential workflow taken end to end on your infrastructure: the models, the agent's computer, the approvals and the record around it, measured against the real work.
- 03
Build
We take it into production across teams alongside yours, then hand the running of it to your people, with support as it grows.