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EA

Ego AI

Ego AI provides a cloud‑native Character Engine that enables developers to embed persistent, AI‑driven NPCs across games, chat bots, and streaming platforms. The platform uses fine‑tuned large language models and a real‑time Character Context Protocol to retain memory and adapt behavior, offering low‑latency state synchronization via SDKs and REST APIs.

San Francisco, United StatesFounded 2023332K+ followers
Updated 3 months ago

Funding

$6.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Digital experiences often rely on static NPCs or scripted agents that lack continuity, causing player interactions to reset after each session. This limits narrative depth and prevents long‑term emotional bonds between users and virtual characters. Developers also face high integration overhead when trying to embed advanced AI across multiple platforms such as games, chat services, and streaming interfaces.

Solution

Ego AI offers the Character Engine, a cloud‑native platform that delivers persistent, human‑like AI characters capable of retaining memory and evolving behavior across disparate digital environments. The engine combines a proprietary behavior model with a Character Context Protocol that synchronizes stateful agent data in real time, enabling characters to remember past interactions and adapt their responses. Developers can embed these agents via a lightweight SDK and RESTful APIs, allowing seamless integration with game engines, Discord bots, and streaming overlays. The platform leverages large‑language models fine‑tuned for role‑play and reinforcement‑learning‑based policy updates to generate context‑aware dialogue and actions. All character data is stored in a secure, scalable cloud datastore, ensuring low latency access and compliance with data‑privacy standards. By providing a unified backend for character continuity, the engine supports emergent storytelling and sustained user engagement without requiring custom AI pipelines for each channel.

Target Audience

The primary customers are game studios, interactive media developers, and platform providers that need persistent AI-driven characters for player engagement across multiple digital touchpoints. Secondary users include community managers and streaming platforms seeking AI companions that can maintain continuity in chat and live‑broadcast environments.

Features

  • Proprietary behavior model built on fine‑tuned LLMs and reinforcement‑learning policies for realistic, adaptive dialogue
  • Character Context Protocol that streams persistent state across APIs, preserving memory across games, Discord, and streaming services
  • Cross‑platform SDK (Unity, Unreal, Node.js) with plug‑and‑play components for rapid integration
  • Cloud‑hosted, horizontally scalable datastore with sub‑100 ms latency for real‑time state synchronization
  • Role‑based access control and end‑to‑end encryption to meet GDPR and CCPA compliance
  • Analytics dashboard offering interaction metrics, retention curves, and behavior audit logs for creators
  • Versioned model deployment pipeline allowing A/B testing of character personalities without downtime
  • Support for multi‑modal inputs (text, voice, avatar gestures) to enrich user interaction channels
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