Platform / Self-Learning AI

AI that gets better with your business.

Static AI is frozen on the day it launches. Self-learning AI treats every correction your team makes as a signal, and every new version as a hypothesis that has to be proven.

01 /What changes

The difference is what makes the system change.

Traditional software
Executes predefined workflows.
When engineers ship a release.
Traditional AI
Answers questions and drafts content.
When a vendor updates the model.
Self-learning AI
Does real work and learns from how your people correct it.
When a candidate proves it is better on your own cases.
02 /The mechanism

Run. Review. Evaluate. Promote.

The same loop that powers UnifyAI. Observation becomes learning only when it is evaluated, and evaluation matters only when it decides what ships.

01

Run

The current version does real work in your workflows.

02

Review

People correct what it gets wrong. Corrections become learning signals.

03

Evaluate

A candidate version is tested against held-out cases.

04

Promote

It ships only if it beats the current version. Every change stays reversible.

01 RUN02 REVIEW03 EVALUATE04 PROMOTEHELD-OUTEVALUATION GATE
03 /Delivered as a full stack

Self-learning AI needs every layer underneath it.

A model that learns from your business has to be deployed where your data lives, trained on that data, and improved on your own models. FelixSphere delivers the whole system, not one piece of it.

Deployment

Self-hosted or private

Run in your own environment behind Unify Gateway. Customer data stays under your control.

Training

Your own models

Fine-tune and train models on your data, on compute you do not have to own.

Data

Your data, made usable

Historical records, expert-generated examples, and captured corrections, with provenance.

Models

Foundation models on tap

Start from, compare, and route across 300+ models through UnifyAPI.

Evaluation

Gated by evidence

Every new version is scored on held-out cases before it replaces the current one.

Operations

Operated with you

FelixSphere deploys, monitors, and improves the system alongside your team.

04 /Principles

Improvement you can inspect.

01

Corrections are signal

An edit made once should not have to be made again. Each correction is captured as a learning example.

02

Held-out evaluation

Candidates are scored on examples they never saw, against a rubric fixed in advance.

03

Promotion is earned

A new version replaces the current one only if it wins. No override.

04

Every change is reversible

Each version is recorded and can be rolled back in one step.

05

Your data, your models

Bring your own model key, or route through UnifyAPI with retention and region controls.

06

Starts narrow, grows with you

Start with one team and one workflow. Add teams as evidence accumulates.

Compute · Data · Models · Intelligence

Start with one workflow. Let the evidence decide the rest.

Tell us what you want AI to do in your business. We will map it to compute, data, models, and intelligence, and deliver it as one solution.