Unabyss
Unabyss is a personal context layer for AI—a structured vault of identity, knowledge, and preferences that follows users across any AI application or agent.
At a Glance
- AI power users
- Developers
- AI agent creators
AI Tools by Unabyss
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Unabyss
MCP Context Layer for AI Agents
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Products & Services
An MCP-native self-updating context layer that creates a persistent memory for AI agents, storing identity, knowledge, and preferences.
Market Position
Differentiated by its MCP-native approach and self-updating structured data model compared to static RAG or browser-based memory.
Leadership
Founders
Marcin Uchacz
CEO and Founder of Unabyss. Previously founded OneType (social-selling AI), Leadpack (B2B outbound agency), and Revpack (GTM engineering). Education: National University of Singapore.
Philip Kubinski
Co-founder of Unabyss. Background in GTM (0 to 1) and sales leadership. Experienced in building revenue streams for startups.
Dominik Bartosik
Co-founder and CPO of Unabyss. Focused on product design and technology. Education: AGH University of Science and Technology.
Executive Team
Marcin Uchacz
CEO
Serial entrepreneur and AI strategist.
Dominik Bartosik
CPO
Product and design leader.
Founding Story
Started to solve the problem of AI being 'stateless' and having no shared memory layer. The vision is to build a persistent, portable context that follows the user.
Business Model
Revenue Model
SaaS subscription and API usage-based credits.
Pricing Tiers
Free to try, includes initial credits for context processing.
Full access to MCP integrations, self-updating context, and higher usage limits.
Target Markets
- AI power users
- Developers
- AI agent creators
- AI agents requiring persistent user memory
- Personal knowledge management for LLMs
- Consistent identity across multiple AI platforms
- Individual power users and early adopters in the AI ecosystem