> ## Documentation Index
> Fetch the complete documentation index at: https://docs.elata.bio/llms.txt
> Use this file to discover all available pages before exploring further.

# What is Elata?

## Overview

Elata is an app-launch protocol designed specifically for biosignal and neurotech applications.

It combines three capabilities that don't currently exist together anywhere: browser-based biosignal acquisition SDKs, on-device processing that keeps all user data local, and an economic app-launch system that lets anyone in the world ship a neurotech product with built-in monetization.

Blockchain provides the best execution framework for this project because it ensures builders can access instant price discovery for their inventions, users are able to parttake in the economic upside they help generate when using apps, and most importantly to ensure anyone in the world can participate with ease.

<Info>
  Network: Live on Base Sepolia (testnet). Mainnet on Base coming soon.
</Info>

<Columns cols={2}>
  <Column>
    <Card icon="hammer" href="/apps/build/overview" title="For builders">
      npm install an SDK, launch an app with a native token, and ship in minutes.
    </Card>
  </Column>

  <Column>
    <Card icon="user" href="/apps/users/explore-apps" title="For users">
      Find apps, trade tokens, stake for rewards, participate in governance.
    </Card>
  </Column>
</Columns>

***

## Why This Exists

Consumer devices have quietly become biosignal acquisition tools. When modeled and executed well, smartphone camera can accurately infer heart rate measurements, respiratory rate, track pupil dialation and eye movements, and even get relatively accurate inferences on cognitive states. Furthermore, at-home consumer EEG headsets can capture brainwave data that required clinical-grade hardware a decade ago.

The sensors are already in people's pockets. What doesn't exist yet is a standardized application layer for building on top of these signals.

Today, every company that processes biosignal data — from meditation apps to driver-drowsiness systems — does so by extracting user data to centralized servers. Users never see the value their data generates, and Builders must recreate proprietary signal-processing pipelines from scratch. And anyone outside of well-funded markets is simply excluded.

Elata addresses this with three design decisions:

1. Published SDKs that standardize biosignal acquisition across devices, installable as npm packages.
2. **On-device processing** where all raw data stays on the user's device and never gets extracted — by anyone, including Elata. Model improvements aggregate across the network via parameter updates, not raw signals, so the network gets smarter without compromising privacy.
3. **Permissionless app launch** with deterministic on-chain mechanics — bonding curves, fee routing, and graduation — so any builder, anywhere, can ship a biosignal app with aligned economics and no gatekeepers.

***

## What Elata Does

### Biosignal Acquisition

Elata ships published npm packages for browser-based biosignal capture:

| Package                          | What It Does                                                                                                           |
| -------------------------------- | ---------------------------------------------------------------------------------------------------------------------- |
| `@elata-biosciences/rppg-web`    | Heart rate, respiratory rate, and stress measurement from any standard webcam via rPPG. No wearable hardware required. |
| `@elata-biosciences/eeg-web`     | Browser-based EEG data acquisition for web applications.                                                               |
| `@elata-biosciences/eeg-web-ble` | Connect consumer EEG headsets via Web Bluetooth directly in the browser.                                               |

These packages standardize data across devices into a shared format. Hardware makers gain an app ecosystem; builders get a shared data layer instead of rebuilding signal processing from scratch.

All processing runs in the browser, on the user's device.

### Data Architecture

Raw  biodata never leaves the user's device. Machine learning runs at the edge using on-device inference.

Model parameter updates (meaning not raw data) aggregate across the network. Each user's local model improves from the network's collective learning without any individual's signals being transmitted, stored, or made accessible to anyone.

Not only does this mechanism ensure privacy and security of sensitive data, but it also uniquely addresses the nuances inherent to biodata (namely the unique and often unpredictible differences between individual users' biological profiles).

More users means better models for everyone, without data extraction.

### App Launch Protocol

Short version: **register app → launch app token → trade on curve → graduate to LP**.

<AccordionGroup>
  <Accordion title="If You're Building">
    * **Pay 110 ELTA total** (`10` creation fee + `100` seed). The protocol deploys the entire app stack automatically.
    * **Launch a 10,000,000 supply app token**. Default allocation: `50%` curve, `25%` vesting, `25%` ecosystem.
    * **1% trading fee** routed through the fee pipeline: `FeeCollector` → `FeeSwapper` → `RewardsDistributor`.
    * **Revenue split**: `70%` to app stakers, `15%` to veELTA holders, `15%` to treasury.
    * No smart contract development needed. Account abstraction can hide wallets and gas entirely from end users.
  </Accordion>

  <Accordion title="If You're Using or Staking">
    * **Browse apps** on the [App Store](https://app.elata.bio).
    * **Buy app tokens** during the active bonding-curve phase.
    * **Stake app tokens** to receive `70%` of the trading fees that app generates.
    * **Lock ELTA for veELTA** (`7`–`730` days, `1x`–`2x` boost) for protocol-level fee share and governance voting power.
    * **Track graduation** — at `42,000 ELTA`, LP is created and locked for `2 years`.
  </Accordion>
</AccordionGroup>

***

## Why Onchain?

Two properties of this design make it such that any design except for blockchain would be incredibly impractical:

**Value return instead of value extraction:** Users who stake into apps are elligible to recieve a portion of the economic value those apps generate. As is the case with any type of bio-data, the traditional model creates a perverse incentive for companies to harvest users data without returning value. Elata inverts this: data stays on the user's device, and economic participation is opt-in.

**Permissionless global access:** Anyone in the world can build on, use, or stake into biosignal applications without providing personal information or requiring a specific form of identification. Builders and users may participate pseudonymously if they please. To prevent value extraction by bad actors, all developers implement core protocol primitives via open APIs that call ecosystem-native contracts only, and the entire onboarding process is completely seamless (no ID, SSN, etc) for all participants.

***

## Key Components

| Component          | What It Does                                                                                                 |
| ------------------ | ------------------------------------------------------------------------------------------------------------ |
| **ELTA**           | Base protocol token. Fixed `77,000,000` supply, minted once at deployment.                                   |
| **veELTA**         | Vote-escrow token from locking ELTA (`7`–`730` days). Linear boost `1x`–`2x`. Governance voting + fee share. |
| **App Tokens**     | Per-app tokens. Fixed `10,000,000` supply. Launched on bonding curves.                                       |
| **Bonding Curves** | Constant-product (`x·y=k`) launch trading until graduation at `42,000 ELTA`.                                 |
| **Fee Pipeline**   | `FeeCollector` → `FeeSwapper` → `RewardsDistributor`. `1%` trading fee. `70/15/15` split.                    |
| **Biometric SDKs** | `rppg-web`, `eeg-web`, `eeg-web-ble`. Browser-based biosignal acquisition. On-device processing.             |
| **Elata Open EEG** | Open-source 8-channel EEG hardware (Raspberry Pi 5 + ADS1299). Rust signal processing.                       |

***

## Choose your path

<Columns cols={2}>
  <Column>
    <Card icon="recycle" href="/learn/how-it-works" title="How Elata Works">
      Step-by-step walkthrough of the protocol lifecycle
    </Card>
  </Column>

  <Column>
    <Card icon="coins" href="/learn/tokenomics" title="Tokenomics">
      ELTA supply, distribution, and ecosystem mechanics
    </Card>
  </Column>
</Columns>

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  <Column>
    <Card icon="brain-circuit" href="/sdk/overview" title="Biometric SDKs">
      Elata-native rPPG, EEG, and BLE libraries
    </Card>
  </Column>

  <Column>
    <Card icon="activity" href="/quickstart" title="Launch an App">
      Select your modality and deploy a neurosignal app in minutes
    </Card>
  </Column>
</Columns>

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  <Column>
    <Card icon="hand-coins" href="/learn/revenue-model" title="Revenue Model">
      Fee routing, staking economics, and protocol information modules
    </Card>
  </Column>

  <Column>
    <Card icon="package-open" href="/open-source/agentforge/overview" title="Open Source Projects">
      Collection of discontinued and/or active Open Source Projects created by Elata
    </Card>
  </Column>
</Columns>

***

## Links

* [Apps Ecosystem](https://app.elata.bio)
* [GitHub](https://github.com/elata-biosciences)
* [Discord](https://discord.gg/GqS9CstffK)
* [Twitter/X](https://x.com/elata_bio)