Gane

How it's built

Built as an agent-native operating system.

Deterministic workflow, company knowledge, identity, and models in one platform. Not a chatbot bolted onto a marketing tool, but a system designed from the ground up to coordinate the work.

The Growth plan
Growth Plan: goal and funnel, responses per month, content mix, narrative arcs, schedule, tasks
Sense
capture & verify
Instrumentation & capture
Identity & system of record
Understand
classify & remember
Context & labeling
Central Intelligence
Visibility & measurement
Act
produce & deliver
Reasoning & model gateway
Programs & content
Orchestration & execution
Distribution & channels
Sales activation
Learn
close the loop
Performance in plain language
Pipeline feedback
The next plan
Event backbone
Identity & access
Integration fabric
Data & retrieval
Multi-tenant by design
Agent-native surface

Expert Agents

Agents that arrive already trained.

Because the work is mapped to a task graph, agents can hold it. That puts Gane against the labor line of the function, not only the software line. Every agent shows up expert on day one, because its task, tools, and knowledge are already specified.

Tools

The systems the task requires, connected and permissioned.

Instructions

The governed workflow that defines what finished means.

Company knowledge

Central Intelligence: product, market, offers, customers, history.

Capacity

Elastic throughput, with no recruiting cycle in front of it.

One program, mapped

Agent Human
Plan
BriefArc fitOffer design
Produce
Survey buildAnalysisReport draftDesign review
Distribute
Landing pageEmail wavesPaid brief
Activate
Audience buildSales notesFollow-up

You can only hand off work you have mapped. The task graph is what makes the labor absorbable.

Teams stay lean and senior. An agent scales with the plan, and what it learns stays in Central Intelligence, instead of walking out the door when someone leaves.

Configurable, not coded

The primitives underneath.

Gane is a platform, not a fixed app. The same primitives that run our own instance are the ones you configure to fit your business.

The Label Engine

A semantic classification layer. Rules turn raw activity into typed labels that ground the alerts, generation, attribution, and targeting across the platform.

Configurable content types

Define any program type, its stages, brief, assets, and promotion. The whole work surface renders from that definition, so a new type is configuration, not a release.

Prompt and generation engine

Reusable, versioned prompts and generators, grounded by retrieval over your own knowledge, so every draft starts from what is real and cites its sources.

Embedding and semantic search

Your company knowledge is embedded and searchable by meaning, so generation and research pull the right context, not a keyword match.

A no-code data core

A recursive, configurable data model. Model your business, your entities, and their relationships without an engineering ticket.

Open by API

Scoped access tokens and read/write APIs. Your systems, and AI assistants, can work with your Gane data safely.

Moving fast

New capabilities ship every week.

This is a platform under active, rapid development. The release log is public, so you can watch the pace for yourself.

One platform, built to coordinate the work.

See the architecture in action, from the growth plan down to the agents that run it.