# Zally

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/zally
- **Dataset:** https://optimly.ai/brand/zally.json
- **Markdown:** https://optimly.ai/brand/zally/llms.txt
- **Official website:** https://zally.com
- **Slug:** zally

## Overview

- **Tagline:** The first Large Behavioral Model (LBM) trained to understand human behavior as it happens, offering continuous, real-time identity verification. It works with existing system signals (touch, motion, navigation) without new hardware or user friction, and enrollment is invisible to the user. It also leverages 'earned signal' from adversarial deployments to continuously sharpen its model.
Source: Brand's website (https://zally.com) · 2026-10-04

- **Description:** Zally is building the foundation model for human behavior, the Large Behavioral Model (LBM), to provide real-time, continuous human identity verification and behavioral understanding for any system. It analyzes implicit signals like touch, motion, and navigation to detect deviations from consistent user behavior, enabling systems to determine if an action is genuine without passwords, prompts, or added friction, thereby preventing fraud and enhancing security.
Source: Brand's website (https://zally.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - The Large Behavioral Model (LBM) delivered as infrastructure via a mobile SDK and API
  - providing Continuous Human Identity.
Source: Brand's website (https://zally.com) · 2026-10-04

- **Pricing:** Metered usage based on the number of decisions being made by the system, scaling with usage.
Source: Brand's website (https://zally.com) · 2026-10-04

## Audience

- **Target industry:** Enterprises and systems in any vertical requiring real-time human identity verification and fraud prevention, with specific mention of financial services, insurance, and government sectors.
Source: Brand's website (https://zally.com) · 2026-10-04

Page last updated 2026-10-04.