EARLY STAGE

Odore AI Platform

Agents for the Everyday Store

Connect with your customers through our AI Agent layer.

Odore AI architecture visualization with agents, coordinator hub, and memory mesh

Features

Existing agent platforms are largely passive chat bots.

Odore AI solves these with a compound AI approach

OAgent System

Low latency, high throughput swarm of AI agents working in coordination

Information and Service Delivery

Distributed context sharing running on an event streaming system

Sustainable Use of AI Resources

Using the most efficient LLM and other technical resources to power inferencce

Front-end Focus

Innovation of agentic UI interfaces for representing complex workflows.

Pricing

Trial (Free, no credit card)

test features before buying

  • Mobile Web Application only
  • No STOREFRONT
  • 1 EVENT(max 3 days)
  • up to 10 concurrent customers
  • 2-week trial period
  • Merchant ($20 per month)

    suitable for the small shop

  • Access to beta Admin App
  • One STOREFRONT
  • 2 EVENT (any duration)
  • up to 100 concurrent customers
  • Enterprise

    Larger businesses

  • Everything in Merchant Plan
  • advanced customization
  • personalized tech support line
  • Performance Benchmarks

    Scaling up to 12 concurrent agents.

    Concurrent Agents

    128

    Latency (ctx fetch)

    <300ms

    Technology Components

    Deployment Models

    Enterprise Tools

    Roadmap

    Q4 2025: Heavy Development

    Odore AI Platform Whitepaper

    updated: 8 Aug 2025

    The Odore AI Platform delivers enterprise-ready compound AI with dynamic agent swarms, intelligent routing, and distributed memory. By combining specialized models with an intelligent coordination layer, Odore AI achieves measurable gains in speed, accuracy, and efficiency compared to single-model systems.

    Read Detailed Problem Statement & Market
    • Single-Model Bottlenecks across domains.
    • Coordination Inefficiencies in multi-agent systems.
    • Scalability Constraints beyond 10–15 agents.

    Get the PDF (coming soon)