Aetha
We rebuild proven software categories around what AI can now do: a shared software core, business-specific workflows, and systems built to do the work instead of waiting for clicks.
We build the products first, learn what generalizes, and reuse it in the next one.
Read the thesis ↓The old trade-off
Buying software has always meant picking a side.
Scales. Cheap to run. Everyone gets the same upgrades.
The fit is approximate, so the business bends around the product.
Fits the business exactly, because it was written for it.
Expensive, slow, integrator-dependent — and every implementation becomes its own legacy.
AI changes the terms. The tailored layer — the part that used to require a project — can increasingly be authored, tested and maintained by software. That is the whole thesis: custom fit with software economics.
What actually changes
Review, exceptions and consequential approvals remain human. We design the interface around those moments instead of around data entry.
Bolting an assistant onto an old product leaves the architecture intact: the workflow still waits for someone to drive it, click by click.
State, permissions, policy, verification and audit are shared and deterministic. What differs per business is the workflow written on top.
A concrete example
Take CRM. The usual options are to configure a generic product until it roughly matches how you sell, or to add an assistant on top of it and hope the process improves.
Accordo does neither. A coding agent translates the actual sales process into software the customer owns, while shared deterministic infrastructure handles state, permissions, approvals, audit and trace — the parts that must never be improvised. The fit of a bespoke build, on the cost curve of a product.
accordo.devProducts
Custom CRM framework. Business-specific workflows on shared deterministic infrastructure: state, approvals, audit and trace.
AI gym coach in production. Programming, sessions and progression adapted to the individual athlete.
arvo.guruLive AI coaching product. Small, well-timed actions instead of one more dashboard to read.
zeno.guruDevelopment orchestration. Where the tooling and the operating experience from every product accumulate.
orchestro.orgAlongside these, a few experiments we keep small on purpose. Each one tests a piece we may need later — a pipeline, a detection problem, a reporting model — cheaply enough that being wrong costs a weekend.
The portfolio is not the strategy. It is how we learn what should be reused.
How we build
We use the best coding models available, and we assume that capability keeps getting cheaper. Coding agents are suppliers. They are not the thing we are building.
What we keep is the operating method: how a business becomes software, what to automate and what has to stay deterministic, where a human must approve, how we measure whether the system is doing the work, how we find problems after deployment, and how a fix gets verified independently.
Every product adds to that method. The next one starts further ahead.
Company
Aetha, Inc. Two founders, one shared core, and products built for a global market.
If you run a business where the software should be doing more of the work, we are interested in the details.
hello@aetha.com