AIBrain Inc. Unclaimed
Menlo Park, California, United States
AIBrain is an AI company building autonomous systems by unifying problem solving, learning, and memory to augment human intelligence.
AIBrain is an artificial intelligence company focused on building autonomous AI by unifying three core aspects of intelligence: problem solving, learning, and memory. The organization traces its origins to founder Dr. Richard H. Shinn and has expanded internationally to establish research and operations across multiple regions. AIBrain's core technologies combine cognitive reasoning with a human-like memory to enable autonomous decision-making, planning, and learning across a range of applications. The company positions itself as a creator of AI that augments human capabilities, serving researchers, developers, educators, enterprises, and consumers through technology platforms and educational and entertainment offerings. AIBrain emphasizes practical AI that can understand language, sense context, learn from experience, and act autonomously, while prioritizing responsible development and real-world impact. Through its efforts, the organization aims to democratize access to advanced AI and provide durable solutions for education, entertainment, and industry. AIBrain's public footprint includes a U.S. office and a history of collaborations and programs, signaling its commitment to broad adoption and ongoing innovation.
AIBrain is an artificial intelligence company with the goal of building fully autonomous AI by unifying the three essential aspects of intelligence, namely Problem Solving, Learning and Memory.
What we offer
TYCHE: The Ultimate Family Companion
An AI companion that promotes learning, socializing, and creativity in children.
aibrain.com/tyche-the-ultimate-family-companion/SMILE: Social Mind for Intelligently Learning Emotions
Enhance children's social and emotional skills using conversational AI training.
aibrain.com/smile-social-mind-for-intelligently-learning-emotions/Futurable: True AI Game
Experience a groundbreaking AI game where every character is a fully autonomous AI, enhancing gameplay with human-like interactions.
aibrain.com/futurable-true-ai-game/AICoRE (Adaptive Interactive Cognitive Reasoning Engine)
AICoRE Provides Autonomous Cognitive Reasoning, Enhancing Decision-Making Processes.
aibrain.com/aicore-adaptive-interactive-cognitive-reasoning-engine/Memory Graph
Memory Graph enables intelligent agents to store and recall experiences and knowledge, enhancing their reasoning capabilities.
aibrain.com/memory-graph/Market segments
Market size by segment
Growth potential (CAGR)
Autonomous Agent Orchestration
Capabilities to compose, coordinate, and monitor multi-agent workflows, including memory and context management for autonomous AI agents.
Semantic graph and persistent memory platforms
Systems that provide a shared semantic graph or persistent memory layer to maintain context, state, and governance across an agent fleet, improving coherence, personalization, and auditability.
Conversational social-emotional learning
Conversational AI systems that teach, coach, and assess social-emotional learning (SEL) skills for children through dialogue, personalized training agents, and neuroscience-informed curricula.
Autonomous character simulation for interactive entertainment
Technologies that power autonomous NPCs and playable AI characters with rapid reasoning, learning, memory, and multi-agent interaction to create emergent, human-like gameplay.
More information about our offering
TYCHE: The Ultimate Family Companion
TYCHE is an AI smartphone robot companion for kids that talks, listens, thinks, and reasons to plan and solve tasks. It supports the Build Your Own Intelligence (BYOI) app, including an Android app ecosystem, emotion recognition, and multi-user memory to enable personalized interactions.
- Tailored InteractionsEnhances engagement by responding based on emotional states and past interactions of multiple users.
- Integrate with Your SmartphoneTransforms your smartphone into a versatile robot, capable of assisting with a variety of tasks and learning opportunities.
- Customize AI BehaviorAllows developers and users to create unique experiences by programming Tyche's behaviors and functionalities.
- Access Multiple AppsProvides users and developers a rich ecosystem of apps designed to enhance interaction and learning.
SMILE: Social Mind for Intelligently Learning Emotions
SMILE is a conversational AI training system for kids that exercises social and emotional learning (SEL) skills. It uses dialogue to teach five SEL domains and includes TESS as a personal trainer for emotional and social skills.
- Engage With Conversational AIChildren interact with a smart AI to build essential social and emotional competencies through engaging dialogue.
- Experience Personalized TrainingTESS customizes learning experiences, providing real-time feedback to enhance emotional and social skill development.
- Develop Comprehensive SEL SkillsThe program helps children navigate their emotions and develop key skills that promote personal and academic success.
- Utilize Neuroscientific ResearchSMILE is backed by research ensuring its techniques effectively improve emotional intelligence and cognition.
Futurable: True AI Game
Futurable is a true AI game where every character is autonomous. NPCs and PCs can be AI-driven, enabling rapid reasoning and learning to simulate human-like gameplay using GiAR and related technologies.
- Engage With Autonomous CharactersPlayers interact not just with scripted NPCs but with intelligent agents, enhancing immersion.
- Powered By Advanced ReasoningGiAR enables dynamic interactions and decision-making in real time, enhancing gameplay complexity.
- Switch To Autonomous PlayThis feature allows players to explore the game world while their AI takes control, providing a unique experience.
- Enhance AI MemoryCharacters adapt based on player actions, creating a personalized gaming experience.
- Acquire Cognitive SkillsPlayers can enhance their cognitive abilities and emotional intelligence by engaging with adaptive AI.
- Enjoy Flexible GameplayPlayers can choose to experience the game alone or with friends, interacting with AI in every context.
AICoRE (Adaptive Interactive Cognitive Reasoning Engine)
AICoRE is a cognitive reasoning engine that automates the end-to-end reasoning process with a multi-agent planner supporting autonomous reasoning across sensing, discovering, planning, learning, remembering, and acting.
- Facilitates Collaborative Problem SolvingThe CMAP planner allows multiple AI agents to collaborate, making coordinated decisions to solve complex problems.
- Streamlines Overall Cognition ProcessBy automating the reasoning cycle from data input to action, AICoRE enhances efficiency and reduces human intervention.
- Enables Holistic AI OperationThis unified approach allows AICoRE to process information more naturally, mimicking human cognition.
- Replicates Human Reasoning ProcessesAllows AICoRE to emulate human-like reasoning through an adaptive framework.
Memory Graph
Memory Graph is a human-like AI memory system integrating episodic and semantic memories. It can be used standalone or with AICoRE to provide memory capabilities for AI agents, represented as a graph of nodes and relationships.
- Enhances Autonomous ReasoningCombining Memory Graph with AICoRE empowers agents to perform complex reasoning tasks.
- Organizes Information EffectivelyThe graph structure allows for efficient organization and retrieval of memories, improving contextual understanding.
- Supports Comprehensive MemoryIntegrating both memory types allows for richer understanding and facilitates better interactions and decisions.
- Flexible Application UseMemory Graph can function independently, allowing various AI applications to incorporate human-like memory.
- Enhances Interaction ClarityRetaining metadata enriches AI interactions, enabling more context-aware responses.
References
Methodology and sourcing behind the figures shown above.
Autonomous Agent Orchestration
Primary estimate uses Mordor Intelligence’s Agentic AI Orchestration and Memory Systems report, which specifically targets orchestration plus memory layers and reports a 2025 market size of USD 6.27B and a 2025–2030 CAGR of 35.32%. Comparable industry reports for adjacent definitions (AI agents / multi-agent orchestration) show 2025 market sizes spanning roughly USD 4.2B–12.8B and CAGRs from ~18% to ~46%, indicating consensus around a multi‑billion dollar market with high (mid‑to‑high double-digit) growth potential.
- Market Size (2025) USD 6.27 Billion; Growth Rate (2025-2030) 35.32% CAGR
- AI Agents market projected from USD 7.84 billion in 2025 to USD 52.62 billion by 2030; CAGR 46.3%.
- Global AI-powered multi-agent orchestration market valued at $4.2 billion in 2025; expected CAGR 38.5% (2026–2034).
- Global AI orchestration market size estimated at USD 12.8 billion in 2025; CAGR 18.5% (2026–2034).
Semantic graph and persistent memory platforms
Estimate is a blended 2025–2026 market size for platforms combining semantic/knowledge-graph capabilities and persistent agent memory. I weighted recent market reports for semantic/knowledge-graph markets (~$1.5–$4.9B) and a focused AI agent memory estimate ($1.2B) to produce a mid-point (~$3.5B). Growth potential (CAGR ~25%) reflects published semantic/web/knowledge-graph CAGRs (≈12–38%) and high agent-memory forecasts (up to 62%), using a conservative midpoint to represent combined-technologies demand from enterprise GenAI and GraphRAG adoption.
- valued at US$4.9 billion in 2026 ... expected to reach US$15.2 billion by 2033, growing at a CAGR of 17.6%
- projected to reach USD 7.73 billion by 2030, growing from USD 2.71 billion in 2025, at a CAGR of 23.3%
- Global AI Agent Memory Systems Infrastructure market valued at $1.2 billion in 2025; CAGR 62.0% (2026-2034)
- Global Semantic Web Market size was valued at around USD 2.89 billion in 2025 and projected to reach USD 12.87 billion by 2032 (CAGR ~23.79%)
Conversational social-emotional learning
Estimates use published global SEL market sizes and CAGRs as the primary inputs (sources report global SEL at roughly $2.0–3.6B today with CAGRs 16.8–24.5%). Conversational SEL is a subsegment of the web-based/app SEL market (web-based ~60% of SEL); I conservatively assume conversational AI coaching/assessment represents ~5–10% of current digital SEL spend, yielding ~USD 0.15B. Growth potential is higher than the overall SEL market due to rapid AI adoption and productization; I estimate a ~30% CAGR (above published SEL CAGRs of ~17–24%) for conversational, neuroscience-informed conversational agents.
Autonomous character simulation for interactive entertainment
Estimate derived from published simulation-market sizes (simulation games $25.47B 2026; simulation software $15B 2025; online simulation games $10.34B 2025). Autonomous character simulation is a niche within these markets (middleware, AI NPCs, tooling). Assuming ~10% share of the broader simulation game market and contribution from simulation software tool spend yields an estimated market size ≈ $2.5B. Growth potential set above general simulation-market CAGRs (reported 8.96%–16.7%) to reflect rapid AI/NPC adoption and tooling demand, landing at ~15% CAGR.
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