NevaMind AI
NevaMind AI provides a cloud-native memory engine (memU) that enables autonomous AI agents with persistent, self-evolving, and proactive long-term memory.
At a Glance
- AI Developers
- Enterprise Engineering Teams
- ISVs building LLM-driven applications
AI Tools by NevaMind AI
(1)MemU
Persistent Memory Framework for AI Agents
Discussions
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Latest News
memU 1.0.0: Agents Evolve Through Memory, Not Context
Introducing MemU Response API: The World's First Unified API with Built-in Long-Term Memory
MemU Joins Hacktoberfest 2025
Empower AI Memory, shape the future — be a memU Ambassador
Products & Services
A single-call autonomous response generation API with auto-memorization capabilities.
Provides granular control over storage, retrieval, pattern queries, and bulk operations for AI memory.
Open-source Python and JavaScript SDKs for building agentic memory locally or in the cloud.
An enterprise-ready proactive AI assistant built on the memU framework.
Market Position
Positions itself as a persistent subconscious layer for AI agents, differentiating from traditional vector databases by offering proactive prediction and structured memory recall inspired by cognitive techniques.
Leadership
Founders
Ben Sigman
Co-founder and CEO. An expert developer and coder with over 20 years of experience in the industry. Long-time collaborator and partner of Milla Jovovich.
Milla Jovovich
Co-founder. Renowned Hollywood actress (Resident Evil, The Fifth Element). Co-created the concept for the memory engine based on her personal workflow challenges with AI.
Executive Team
Ben Sigman
CEO & Co-founder
Over 20 years of experience in software development and technical leadership.
Milla Jovovich
Co-founder
Co-creator and vision lead, bringing a unique user-centric perspective to AI memory architecture.
Founding Story
Inspired by Milla Jovovich's personal frustration with AI's lack of long-term memory, the company was co-founded with Ben Sigman to apply the ancient 'Memory Palace' technique to modern AI agent architecture, creating memU (originally MemPalace).
Business Model
Revenue Model
Usage-based API credits and tiered subscription plans (SaaS).
Pricing Tiers
Basic access to APIs for individual developers and testing.
Usage-based credits for Response and Memory APIs, including higher rate limits.
Includes custom SLAs, SSO/RBAC, 24/7 premium support, and dedicated algorithmic optimization.
Target Markets
- AI Developers
- Enterprise Engineering Teams
- ISVs building LLM-driven applications
- AI Companion with personal memory
- Coding skills memory for log analysis
- Customer support bots with cross-session context
- Personalized education and tutoring agents
- Gaming and interactive characters
- Enterprise-scale proactive agents
- Early adopters in the open-source community
- Enterprise beta testers for 24/7 agents