AIOS
A plug-and-play layer for teams that already run AI. It makes the output better, measures it, and lowers what it costs to run.
In development. Talk to us if you would like to be an early user.
What it is
One layer between your workflows and your models
Plug it into the automations and agents you already run. It watches what they produce, checks it against rules you set, and tunes how they run, so quality rises and cost falls without anyone adjusting prompts by hand.
Evaluation
Pass or fail checks on the real outputs of your workflows, so quality is measured instead of guessed.
Guardrails
Clear rules on what an agent may read, say and do, enforced on every run.
Token optimisation
Send each model only what it needs, so the same work uses fewer tokens.
Cost optimisation
Budgets and usage visibility per workflow, team and customer.
LLM optimisation
The right model and settings for each task, chosen from your needs and your results.
Defined systems
Your workflows, limits and goals written down in one place that people and agents both follow.
How it plugs in
Four steps, on the workflows you already have
- 1.0 Plug inConnect the workflows and automations you already have.
- 2.0 Set the barWrite down the output you expect, the limits and the budget.
- 3.0 MeasureSee quality, tokens and cost for every run.
- 4.0 ImproveThe layer tunes models and settings against your own results.
B2B teams
Operations, support and back-office teams that run agents inside their business.
D2C brands
Consumer brands that put assistants and automations in front of customers.
Product companies
Teams shipping AI features that must stay accurate and affordable as they grow.
Want to work with us?
Clarity drives every design decision — paired with bold ideas and intent. We love working on projects that move people forward.
Let’s start with a quick form to understand what you need.