MapleAI Academy

A serious learning system for AI-native infrastructure

MapleAI Academy organizes the technical foundations behind Maple AI OS, Hermon DNA, Hermon Finance, Hermon Code, and Maple Brain Lab. The goal is not shallow marketing. The goal is to teach the ideas, labs, evaluation contracts, and industrial use cases that guide the models.

Domains4

OS, DNA, Finance, and Code.

Tutorial pages24

Structured lessons with labs and eval rubrics.

Research loopLive

Training and evals feed the next Hermon adapters.

Curriculum

Choose a domain, then work through the tutorial series

Each domain hub contains foundations, applied lessons, advanced architecture, labs, output contracts, and reading maps. The same material becomes user education, marketing, training data, and evaluation targets.

Maple AI OS

AI-native operating systems

A serious AI-native OS keeps identity, authority, memory, tools, execution, evidence, and evolution outside every model.

Operating-system builders, agent platform engineers, enterprise AI operators, and researchers studying reliable autonomy.

6 tutorials4 industrial maps3 readings
Open domain hub

Maple DNA

Hermon DNA and computational DNA

Hermon DNA is the simulation-first model line for symbolic DNA computing, sequence linting, safety classification, and genomics-inspired representation learning.

Students, researchers, computational biologists, ML engineers, and builders who want DNA-computing fluency without wet-lab instructions.

6 tutorials4 industrial maps3 readings
Open domain hub

OpenIBank

Hermon Finance for OpenIBank

Hermon Finance turns treasury, reconciliation, AML/KYC, audit, and operational-risk requests into governed OpenIBank proposals.

Financial operators, compliance teams, treasury analysts, product builders, and model-risk reviewers.

6 tutorials4 industrial maps2 readings
Open domain hub

Wish

Hermon Code and Wish agents

Hermon Code is the coding-agent model line for repository inspection, patch planning, tests, CI repair, deployment proposals, and safe automation.

Software engineers, platform teams, AI coding-agent builders, CI maintainers, and technical leaders.

6 tutorials4 industrial maps2 readings
Open domain hub

Maple Brain Lab

Training progress is part of the curriculum

The lab page shows model lanes, current public evals, latest adapter status, and the next training targets. This connects education to the actual Hermon improvement loop.

Open Lab StatusMapleAI private training cell

Hermon OS, DNA, Finance, and Code training, evaluation, demos, and deployment status.

Learn, evaluate, then improve the model

Every course connects to a live demo or evaluation snapshot, so education becomes product feedback and model training direction.