For an individual
Personal adaptation when someone’s preferences and history make a dedicated model worthwhile. A tutor can be designed to develop with the learner.
Not Organic for business
Applications that grow with your customers.
Build experiences that understand people, remember what matters, and evolve with them. Bring together customer-owned data, a persistent workspace, and learning that fits your business.
Room for every customer to grow.
A relationship that lasts beyond a session.
- An account they can carry
- A portable identity built on ATProto, with an account created through a personal data server, or PDS. Your app connects to the customer’s account.
- A workspace that keeps context
- A persistent place for the information, activity, and artifacts that make the experience theirs. Decide what belongs to the individual and what belongs to the organization.
- Learning at the right level
- Adapt to one person, develop shared expertise across an organization, or begin with a base model and useful context. A separate model for every customer is an option.
Choose who the learning is for.
A LoRA is a compact adaptation of an AI model. It can teach a model a particular style, domain, or way of working. The right scope depends on who benefits and whose information may be used.
Turn experience into improvement.
Choose a managed training and deployment path for the model scope that fits. Curate authorized data, train a candidate, evaluate it against the current experience, and deploy the revision that earns its place.
Continual learning can follow a schedule or a meaningful change in your data. Keep a working fallback and improve deliberately, with costs and success criteria agreed before training begins.
The customer’s data stays at the center.
Build around ownership, explicit permissions, and a clear account boundary. A shared model must not become a reason to pool everyone’s private information.
Define what can be used for learning, what remains private, how customers retrieve their data, and what happens when they leave. These decisions shape the integration from the start.
The ecosystem we build with.
Keating, Twyne, Interleave, and Stich are connected to Not Organic. They bring this shared foundation into learning, writing, relationships, and communication.
Your experience. A foundation that can evolve.
Tell us who you serve and what your application should learn. Together we define the account and workspace boundaries, the right model scope, and the training and deployment path.
Integrations are reviewed before launch. Managed learning, model hosting, and data controls are scoped and verified during onboarding.