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Echobase

A business AI workspace that lets teams query, create, and analyse directly from their internal files, cloud knowledge bases, and shared datasets.

AI AgentsKnowledge BaseTeam CollaborationSaaS
Echobase product imagery from the live site

Project Overview

Echobase is an AI platform built to help businesses turn their internal knowledge into a practical, everyday workflow tool. We created a product experience that allows teams to upload or sync files, train AI agents on that context, and then use those agents to answer questions, generate new content, and analyse information across the organization. The result is a clean, accessible AI workspace aimed at real business productivity, not experimentation for its own sake.

The Challenge

Most businesses have valuable knowledge spread across documents, cloud storage, and team-specific systems, but that information is difficult to access quickly and even harder to operationalize. The challenge was to package advanced AI capabilities into a no-code product that felt simple enough for non-technical teams while still supporting business-grade collaboration, permissions, and privacy expectations.

Our Solution

We built Echobase as a multi-user AI workspace where organizations can upload files or sync cloud storage, create agents trained on their own knowledge base, and let teams query, create, and analyse from the same source of truth. The platform supports team collaboration, role-based access, and privacy-conscious AI usage, while the broader product and marketing experience clearly communicates the value of bringing AI into day-to-day business operations without custom engineering.

Technologies Used

AI Product DesignWeb App DevelopmentKnowledge SystemsUI/UX Design

Results & Impact

  • Delivered a no-code AI platform centered on business knowledge and team productivity
  • Enabled organizations to create agents trained on their own files and datasets
  • Supported collaborative workflows with shared access, roles, and permissions
  • Positioned the product around practical use cases like querying, creating, and analysing from internal knowledge

Live Product

Explore the live product and public-facing experience.

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