
The Platform for
Biological Systems
Build, train, and deploy specialized AI agents with domain-expert precision
From hypothesis to deployment—everything you need to build biological AI applications
Platform Metrics
Full-Stack Ecosystem
AI Models Marketplace
150+ pre-trained specialist agents for drug discovery, agricultural intelligence, and biological research
Developer Tools
Synapse-lang, Research IDE, Crowe Code AI assistant. Express research hypotheses directly in code
Data & Hardware
Research-grade datasets from 18+ years. Crowe-Sense IoT sensors for real-time monitoring
Domain intelligence, not just AI. Every model is battle-tested at commercial scale with real-world production validation.
Six Verticals, One Platform
From biotechnology to agriculture, we deliver end-to-end solutions across the biological sciences

Southwest Mushrooms
Premium Gourmet Mushrooms

Crowe Mycology
Mycological Expertise & Consulting

Mycology Research Pipeline
Scientific Research & Development

CroweOS Systems
Intelligent Operating Systems

DeepParallel
Advanced AI Model Family

Southwest Mushrooms
Premium Gourmet Mushrooms

Crowe Mycology
Mycological Expertise & Consulting

Mycology Research Pipeline
Scientific Research & Development

CroweOS Systems
Intelligent Operating Systems

DeepParallel
Advanced AI Model Family

Southwest Mushrooms
Premium Gourmet Mushrooms

Crowe Mycology
Mycological Expertise & Consulting

Mycology Research Pipeline
Scientific Research & Development

CroweOS Systems
Intelligent Operating Systems

DeepParallel
Advanced AI Model Family
Code That Thinks Like a Scientist
The world's first scientific programming language with native uncertainty, quantum computing, and AI assistance.
# Uncertainty quantification
uncertain temperature = 300 ± 10
uncertain pressure = 1.5 ± 0.1
# Hypothesis-driven programming
hypothesis substrate_optimization {
inputs: [sawdust, coffee_grounds, gypsum]
outputs: biological_efficiency
uncertainty: high
# Parallel experiment branches
experiment_1: ratio(70:30:2)
experiment_2: ratio(60:40:2)
# AI agent evaluation
agent CriOS_Substrate_Analyst {
evaluate: contamination_risk
optimize_for: yield_per_kg
}
}
# Quantum computing support
quantum[2] {
H(q0) # Superposition
CNOT(q0, q1) # Entanglement
measure(q0, q1)
}Uncertainty Quantification
Built-in uncertain types with automatic error propagation
Quantum Computing
Visual circuit designer and hybrid algorithms
Parallel Execution
Distributed computing with automatic load balancing
Hypothesis-Driven
Express scientific reasoning directly in code
Complete Biotech Platform
Everything you need to build, train, and deploy biological AI applications

AI Models Marketplace
150+ pre-trained specialist agents for drug discovery, agricultural intelligence, and biological research.

Research IDE & Synapse-lang
Express research hypotheses directly in code. Purpose-built language for biological systems.

Crowe-Sense Hardware
Real-time monitoring with IoT sensors. Environmental controls, contamination detection, and telemetry.

Research Datasets
847+ curated datasets from 18 years of biological research. Cultivation, genomic, and environmental data.




Michael Crowe
Mycologist, genetics company founder, and AI/ML developer with nearly two decades of hands-on mushroom cultivation experience. From bedroom hobby to statewide distribution, from 30% contamination to under 3%.
"I'm standing in my grow room in Phoenix, Arizona, surrounded by thousands of shiitake mushrooms at their absolute prime. This room alone will produce over $3,000 worth of mushrooms this week. Ten years ago, this was just a dream."— On building Southwest Mushrooms
"Cultivating fungi and mushrooms is like a balance between science and art. You've got to understand the science of it, and you've got to execute your cultivation perfectly. You can really get creative with growing mushrooms."— On the craft of mycology
"I went from a 15-year-old kid obsessed with spores to building companies, consulting for farms, and developing AI systems. That journey started with understanding one simple thing: how mushrooms grow."— On the journey
Frequently Asked Questions
What makes Crowe Logic different from generic AI platforms?
Every model is built on 18+ years of real biological research and commercial operations. We provide domain-expert intelligence, not generic AI trained on internet data.
Can I use this for drug discovery and research?
Yes. Our AI models support drug discovery, agricultural intelligence, genomic analysis, and microscopy. The platform includes specialized agents for hypothesis validation and experimental design.
What types of datasets are available?
847+ research-grade datasets including cultivation data, genomic sequences, environmental monitoring, microscopy images, and chemical analysis from 18 years of biological research.
How do I integrate with existing research workflows?
Use our Research IDE with Synapse-lang to express hypotheses directly in code. APIs available for integration with existing laboratory information management systems (LIMS) and data pipelines.

Southwest Mushrooms
Premium Gourmet Mushrooms

Crowe Mycology
Mycological Expertise & Consulting

Mycology Research Pipeline
Scientific Research & Development

CroweOS Systems
Intelligent Operating Systems

DeepParallel
Advanced AI Model Family

Southwest Mushrooms
Premium Gourmet Mushrooms

Crowe Mycology
Mycological Expertise & Consulting

Mycology Research Pipeline
Scientific Research & Development

CroweOS Systems
Intelligent Operating Systems

DeepParallel
Advanced AI Model Family

Southwest Mushrooms
Premium Gourmet Mushrooms

Crowe Mycology
Mycological Expertise & Consulting

Mycology Research Pipeline
Scientific Research & Development

CroweOS Systems
Intelligent Operating Systems

DeepParallel
Advanced AI Model Family


