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aibrain.com

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.

Mission statement

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.

Products & Services

TYCHE: The Ultimate Family Companion Product

An AI companion that promotes learning, socializing, and creativity in children.

aibrain.com/tyche-the-ultimate-family-companion
  • Emotion recognition and multi-user memory — Tailored Interactions
  • Smartphone-powered AI robot — Integrate with Your Smartphone
  • Build Your Own Intelligence (BYOI) — Customize AI Behavior
  • Android app ecosystem — Access Multiple Apps

SMILE: Social Mind for Intelligently Learning Emotions Product

Enhance children's social and emotional skills using conversational AI training.

aibrain.com/smile-social-mind-for-intelligently-learning-emotions
  • Conversational AI for SEL training — Engage With Conversational AI
  • TESS personal trainer — Experience Personalized Training
  • Five SEL domains — Develop Comprehensive SEL Skills
  • Neuroscience collaboration — Utilize Neuroscientific Research

Futurable: True AI Game Product

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
  • Autonomous AI characters — Engage With Autonomous Characters
  • GiAR engine — Powered By Advanced Reasoning
  • Autonomy mode — Switch To Autonomous Play
  • Memory and learning — Enhance AI Memory
  • Cognitive Skill Development — Acquire Cognitive Skills
  • Multi-player and Single-player Modes — Enjoy Flexible Gameplay

AICoRE (Adaptive Interactive Cognitive Reasoning Engine) Platform

AICoRE Provides Autonomous Cognitive Reasoning, Enhancing Decision-Making Processes.

aibrain.com/aicore-adaptive-interactive-cognitive-reasoning-engine
  • CMAP Multi-Agent Planner — Facilitates Collaborative Problem Solving
  • End-to-End Cognitive Reasoning Automation — Streamlines Overall Cognition Process
  • Unified Problem Solving and Learning — Enables Holistic AI Operation
  • Incremental Holistic Human-like Reasoner — Replicates Human Reasoning Processes

Memory Graph Platform

Memory Graph enables intelligent agents to store and recall experiences and knowledge, enhancing their reasoning capabilities.

aibrain.com/memory-graph
  • Integration with AICoRE — Enhances Autonomous Reasoning
  • Graph-based Knowledge Representation — Organizes Information Effectively
  • Unified Episodic and Semantic Memory — Supports Comprehensive Memory
  • Standalone Memory Component — Flexible Application Use
  • Contextual Metadata Storage — Enhances Interaction Clarity

Market Segments

Billion USD 0 1 2 3 4 5 6 7 Autonomous Agen… Semantic graph … Conversational … Autonomous char… Market Size (Billion USD)
0% 3% 6% 9% 12% 15% 18% 21% 24% 27% 30% 33% 36% 39% 42% 45% CAGR Growth Potential

Autonomous Agent Orchestration

Capabilities to compose, coordinate, and monitor multi-agent workflows, including memory and context management for autonomous AI agents.

Market size: $6.3B CAGR: 35.32%
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.

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.

Market size: $3.5B CAGR: 25%
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.

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.

Market size: $150M CAGR: 30%
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.
GL MA 20 3 references

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.

Market size: $2.5B CAGR: 15%
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.
TH TH ON 3 references

Related Organizations

Common Questions

What does AIBrain Inc. do?
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.
What is AIBrain Inc.'s role in the Autonomous Agent Orchestration market?
Capabilities to compose, coordinate, and monitor multi-agent workflows, including memory and context management for autonomous AI agents.
What is AIBrain Inc.'s role in the Semantic graph and persistent memory platforms market?
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.
How was the Autonomous Agent Orchestration market size estimate for AIBrain Inc. calculated?
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.
How was the Semantic graph and persistent memory platforms market size estimate for AIBrain Inc. calculated?
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.
AIBrain Inc. — company overview