# sparsemax.com

> sparsemax.com is a domain name offered for sale for $40,000 USD. The displayed logos, brand directions and website are included; the buyer may use and adapt them.

This page presents possible businesses to build on the domain. These are product ideas, not claims that the illustrated products or businesses currently operate.

## Name

Sparsemax is a machine-learning transformation that can assign exact zeros. The name turns a technical principle into an unusually clear brand idea: keep what matters.

## Business ideas

### Inference gateway: Route AI within budget.

For teams shipping AI applications. Build a gateway that sends each request to a model suited to the job. Teams set their quality, latency, and budget rules, then see how routing choices affect the service they deliver.

Customer outcome: Different model routes for different jobs, with cost, latency, and fallback decisions visible per request.

AI's role: The product serves AI model requests. Routing policies use measured task performance and customer-defined constraints.

Possible business model: Charge by request volume, with paid routing controls and team reporting.

First release: Connect two model providers with configurable policies and request-level traces.

### AI knowledge search: Find answers with sources.

For teams searching large internal document collections. Build a search product that gives staff the passages they need to resolve a question. Pair semantic retrieval with concise, cited answers so a useful result can be checked against the underlying document.

Customer outcome: A concise answer with the relevant passages and links to the current source documents.

AI's role: AI retrieves relevant passages and drafts answers grounded in them. Missing or conflicting evidence stays visible.

Possible business model: Sell team subscriptions based on users and indexed document volume.

First release: Search one profession’s document collection with permission-aware, source-linked results.

### Model optimisation: Fit AI to your hardware.

For machine-learning engineers. Build a workbench for comparing smaller model variants on the tasks a team actually ships. Help engineers decide which size and speed gains justify the measured change in quality.

Customer outcome: A comparison showing which variants fit the target hardware and what each changes in quality and latency.

AI's role: The workbench optimises and evaluates AI models. Measured task results guide the choice of deployable variant.

Possible business model: Sell team workspaces and charge for optimisation and evaluation runs.

First release: Compare quantised variants of one model family against a customer-supplied evaluation set.

## Links

- [Domain and offer](https://sparsemax.com/): Asking price and acquisition link.
- [Explore the business ideas](https://sparsemax.com/#possibilities): Three customer outcomes and practical product briefs.
- [Explore the identity](https://sparsemax.com/#identity): Three marks, two typefaces and six monochrome SVG logo combinations.
- [Brand kit](https://sparsemax.com/logos/sparsemax-brand-kit.zip): Download the SVG identity assets.
- [Branding details](https://sparsemax.com/logos/README.txt): Asset contents, use and typeface sources.

The published homepage is the current source of truth for the offer. Purchase and domain transfer are handled through Spaceship.