Solutions

What We Do

We built a computing engine that grows solutions instead of training them.

Current AI (ChatGPT, AlphaFold, generative models) follows one recipe: collect massive datasets, train a neural network, apply the model. It’s powerful — but it needs data, forgets what it learned when you retrain it, can’t explain its decisions, and costs millions in GPU time.

Our engine works differently. We create a population of autonomous software agents — each with built-in motivations (curiosity, caution, cooperation) and the ability to learn, remember, and share knowledge. We place them in an environment with a problem to solve. They explore, discover, compete, cooperate, and accumulate expertise across generations — without any training data.

The same engine, unchanged, has already:

One engine. Six demonstrated capabilities. Zero training data. Published on Zenodo.

Why It Matters for Business

No data needed. Works on brand-new problems where no training data exists — rare diseases, novel materials, unexplored markets.

Fully explainable. Every decision is traceable: which agent found what, through which mechanism, who shared the knowledge. No black box.

Knowledge compounds. Each project makes the platform smarter. The 10th client gets better results than the 1st — a built-in network effect.

Runs on a laptop. No GPU clusters. No million-dollar infrastructure. A standard server handles populations of hundreds of agents.

Where It’s Already Working

✓ Drug Discovery
50 agents optimize molecules for 4 pharmaceutical targets. Results after 40 rounds of cumulative learning: 99.9% of theoretical max on drug-likeness, 99.8% on a psychiatric target --- competitive with the best specialized algorithms, at half the compute cost. Each round builds on the previous one: the system gets smarter, not just faster.
$1.3T pharma market · 4 targets validated · Knowledge accumulates
✓ Financial Markets
Agents model how crowds feel --- fear, greed, panic --- using 8 fundamental emotional drives from neuroscience. When collective fear exhausts itself, a buying opportunity appears. Running in production on a server, analyzing news 3 times per day across 4 crypto assets. Per-asset emotion-based filters improve risk-adjusted returns significantly.
Deployed in production · News-driven · Emotion-based signals

What We’re Building

• Emotional Companion
A mobile companion app that actually remembers you between sessions, forms real attachment over time, has its own curiosity, and grieves your absence. Not an AI chatbot with a character prompt --- an agent with genuine internal states. Prototype complete.
$154B loneliness market · Mobile app · Prototype ready
• AI Testing & Evaluation
We tested three frontier AI models (GPT-4, Claude, Gemini) with 240 cases designed to reveal blind spots. The headline: when asked about a project with a critical missing piece, zero AI models noticed the gap. Our engine detected all 10. Submitted to Google DeepMind's $200K competition.
240 test cases · 0% detection by current AI · Competition submitted

Ready to Expand

The engine is domain-agnostic: change the problem definition and the scoring function — the same agents explore, discover, and accumulate knowledge in a completely new field. No rewrite needed.

→ Materials & Industrial Discovery
The same engine that finds drug molecules can find new battery electrolytes, industrial catalysts, and specialty polymers. Plug in a scoring function for the desired property (conductivity, strength, biodegradability) and a library of building blocks --- the agents do the rest.
$500B+ combined market · Batteries · Catalysts · Polymers
→ Synthetic Focus Groups
10,000 simulated consumers with realistic personalities, emotions, habits, and brand loyalty --- for a fraction of a cent per agent per minute. Test products, pricing, and campaigns before launch. Unlike AI chatbots, these agents actually have preferences, memories, and biases that affect their decisions.
$85B+ market research · 1000× cheaper than real focus groups
→ Game Characters
Non-player characters that actually hold grudges, panic under stress, grow attached to the player, and can be genuinely persuaded --- not through scripted dialogue trees, but through real cognitive dynamics. A villain who radicalized for understandable reasons and can be de-radicalized by the player.
$1.5B+ game AI market · AAA studios · Emergent storytelling

The Science Behind It

BMC is also a published scientific theory of how the mind works — explaining personality, learning, mental health, creativity, and consciousness from a single set of principles. These pages go deeper into the science:

◦ Personality
Why personality is stable but not fixed, why deep change requires crisis, and how the Big Five personality traits emerge from a deeper biological architecture.
Temperament · Big Five · Change mechanisms
◦ Education & Learning
Why children can't learn algebra at age 5 (mental workspace too small), why sleep is essential for learning, and why play accelerates it. We reproduced a landmark finding in cognitive science: the "magical number 4" limit of working memory.
$400B EdTech market · Validated prediction · Sleep & play
◦ Mental Health
10 mental disorders explained as the same system stuck in different ways. Depression: the mind goes subcritical. PTSD: a fear memory won't release its grip. OCD: the immune system keeps signaling "not done." Three specific therapeutic levers for each.
10 disorders modeled · 3 therapeutic levers · Digital therapeutics
◦ AI Safety
Current AI safety tries to train models to say "no." We propose safety built into the architecture --- constraints that can't be bypassed by clever prompts. Like the difference between a "Do Not Enter" sign and a physical wall.
Safety by design · Not trainable away · Measurable
◦ Creativity & Insight
Why insights come in the shower: three engines of creativity --- the persistent itch of unsolved problems, the dream-time recombination of distant ideas during sleep, and the drive to share what you've found. Flow state is where all three align.
Curiosity · Sleep & insight · Flow state

Want to explore a partnership?

We're looking for domain partners, pilot clients, and investors across all verticals above.

Get in Touch