Mesh Intelligent Technologies, Inc.
Mesh aims to solve the impracticality of migrating native applications to the cloud by embedding cloud capabilities directly into existing products and systems through an AI-enabled productivity platform.
At a Glance
AI Tools by Mesh Intelligent Technologies, Inc.
(1)
Pieces
AI Workflow Context for Developers
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Latest News
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Products & Services
A suite of on-device AI tools including a desktop application for managing code snippets and developer context.
The underlying on-device engine that powers the Pieces ecosystem with local AI models.
An AI-enabled assistant that provides personalized, memory-driven workflow assistance across the developer toolchain.
An agentic memory engine that captures and structures developer workflow data for improved recall and context.
Market Position
Differentiated by its privacy-first, on-device AI approach that maintains memory of the user's entire workflow without relying on the cloud.
Leadership
Founders
Tsavo Knott
Co-founder & CEO. Miami University alumnus (Class of 2018) with a B.S. in Game and Interactive Media Design and Computer Science.
Mack Myers
Co-founder & CPO/COO. Miami University alumnus (Class of 2016) with a B.A. in Professional Writing and Entrepreneurship.
Executive Team
Tsavo Knott
CEO & Co-founder
Technical co-founder with a background in Game Design and Computer Science from Miami University.
Mack Myers
CPO & Co-founder
Background in Professional Writing and Entrepreneurship from Miami University; previously listed as COO.
Board of Directors
Founding Story
Founded to rethink the modern developer workflow by eliminating context-switching chaos and providing a unified, privacy-preserving memory of developer context.
Business Model
Revenue Model
Freemium SaaS model with a free tier for individuals and a paid/custom tier for teams.
Pricing Tiers
9 months of context, basic copilot, desktop app access.
Team context sharing, BYO model options, priority support.
Target Markets
- Software Developers
- Engineering Teams
- Enterprise IT
- Developer productivity enhancement
- Snippet management and contextualization
- Workflow memory and recall
- AI-assisted coding and debugging
- Individual Developers
- Enterprise Engineering Teams