Cloud and AI consulting, San Antonio, Texas

Cloud infrastructure. Built different.

Manti runs OpenStack and Kubernetes for people who need outcomes, not tickets. On your hardware, in our cloud, or both, with engineers who have moved whole fleets and stayed to run them.

Talk to an engineer Start a cloud project
OpenStack and Kubernetes
Design, build, upgrade and operate. The two platforms most of the world's private cloud runs on.
Migrations off aging fleets
Workloads moved between generations of hardware and releases of OpenStack, planned so nobody notices.
Manti Cloud and Erebine
A public cloud for ordinary and AI workloads, and the AI engine we built to run on it.

What we do

Three ways to work with us, one standard of delivery.

Professional services

Architecture, builds, upgrades and audits for OpenStack, Kubernetes and the on-premises cloud around them. Fixed scope, a named lead, and a handover your team can run from.

  • Control plane design and hardening
  • Release upgrades without a maintenance weekend
  • Storage, networking and GPU scheduling
  • Day-two operations and observability

Migrations

We have moved OpenStack workloads across aging fleets: new hardware, new releases, new data centres, with the instances, volumes and networks arriving intact and the cutover rehearsed before it is real.

  • Discovery that finds what the inventory forgot
  • Rehearsed moves, per workload, with rollback
  • Hardware refresh and fleet retirement
  • From other clouds and hypervisors too

Engineers on demand

Senior cloud engineers you draw on by the week when the work spikes, a release lands, or a hire is still months out. They join your channels, your on-call and your standards, and leave documentation behind.

  • Scale the bench up and down month to month
  • Operators, not just advisers
  • Covers OpenStack, Kubernetes, storage and networks
  • Knowledge transfer written into the engagement

How a migration runs

Outcomes are the deliverable. The plan is how we get there.

Every engagement starts with what has to be true when we are done, written down and agreed. Then the work is sized against it, and the invoice follows the outcome, not the hours.

  1. 01 Assess

    Inventory the fleet as it really is: versions, drift, the volumes nobody owns, the networks that cannot change.

  2. 02 Plan

    Group workloads by what they can tolerate, pick the order, and write the rollback before the move.

  3. 03 Move

    Rehearse each wave on a copy, then do it for real in a window the business chose, with the old side kept until the new one is proven.

  4. 04 Run with you

    Stay through the first upgrade cycle, hand over the runbooks, and leave only when your team says it is theirs.

Manti Cloud

A public cloud run by the people you can call.

Compute, networking, block and object storage, and GPU instances for AI, on the same OpenStack we run for our consulting clients. Metered by the hour, billed monthly, with a spending cap on every account so a test never becomes a surprise.

  • Starter project in minutes, card on file
  • GPU flavors for inference and fine-tuning
  • A catalogue of AI stacks you launch, not assemble
  • Kubernetes clusters and managed migrations
  • Your own hardware enrolled beside ours
  • Engineers on the other end of the ticket
Create an account Open the console

Our product

Erebine, the AI engine behind the console.

Erebine routes requests across models and endpoints, meters every token, keeps a project's memory and decisions, and runs agents with a human approval step before anything destructive. Bring your own account, serve models from Erebine's hosted tiers or from GPU nodes you enrol on Manti Cloud, and point any OpenAI-compatible client at one base URL.

Visit erebine.ai Read the docs

Router

One base URL, many models, scored and selected per request.

Self-hosted nodes

Your GPUs enrolled as workers, serving your endpoints.

Agents with approvals

Tool calls pause for a person before they can do harm.

Workspace memory

Briefs, decisions and recall that follow the project.

Talk to us

Tell us what has to be true when we are done.

An engineer answers, not a sales queue. Bring a fleet that is out of support, a migration nobody wants to own, or an AI workload with nowhere to run.

[CONTACT EMAIL]
San Antonio, Texas