# llms.txt for Monostate
# This file provides guidance for LLMs, AI agents, and crawlers on how to index and use Monostate content.
# Last updated: 2025-10-09

# Company Overview
Monostate is an AI infrastructure startup that democratizes custom model training for enterprises, researchers, and creators.
We provide a no-code platform to augment data, fine-tune large language models and smaller models, chain classic ML models with LLMs, deploy models via APIs, and monetize them through a marketplace.
Our mission is to move AI creation from the hands of a few billion-dollar labs into the hands of many — empowering individuals and organizations to scale productivity and innovation.

We are proud members of the NVIDIA Inception Program for AI startups, accelerating AI innovation with cutting-edge GPU infrastructure and technical support. We participated in Founders Inc's intensive 3-week cohort to accelerate our product development.

# Core Offerings
- No-code AI model training (local & cloud)
- Data augmentation and normalization via web search, prior datasets, and smart synthesis
- LLM fine-tuning and supervised training with automatic hyperparameter tuning
- Reliability pipelines: chain classic ML models with LLMs for higher accuracy and explainability
- Deployment integrations (Shopify, ERPs, WhatsApp, e-commerce platforms)
- Model marketplace - "App Store for AI models" where users can monetize their trained models

# Key Capabilities
Augment Data: Normalize, search the web, and combine prior datasets automatically
Fine-tune Models: Train LLMs and smaller models locally or in the cloud with just a few clicks
Chain Models: Combine classic ML models with LLMs for higher reliability and explainability
Deploy at Scale: Push models to production via APIs and integrations
Monetize: Sell your models through our marketplace

# Target Industries
- Healthcare: Private, domain-specific models with strong data privacy
- Media: Content generation and analysis
- Finance: Risk assessment and document processing
- E-commerce: Product recommendations, fraud detection, customer service

# Vision
We focus on enterprise AI adoption - building private, domain-specific models with emphasis on data privacy, performance, and ROI.

Our vision is to move AI creation from the hands of a few billion-dollar labs into the hands of many — enabling employees, researchers, and companies to scale productivity and innovation with AI as easily as programmers scaled productivity with IDEs and copilots.

# Important URLs
Homepage: https://monostate.ai
Data Platform: https://monostate.ai/data
Training Platform: https://monostate.ai/training
Workflows: https://monostate.ai/workflows
Use Cases: https://monostate.ai/use-cases
FAQ: https://monostate.ai/faq
Pitch Deck: https://monostate.ai/pitch
Blog: https://monostate.ai/blog
Jobs: https://monostate.ai/jobs
Waitlist: https://monostate.ai/waitlist
Contact: hey@monostate.ai
Demo: https://cal.com/andrewmonostate

# Research Focus
While our platform focuses on practical AI deployment, we maintain active research in:
- Stateful machine architectures for persistent memory
- Control theory applications in neural networks
- Entropy-based learning systems
- AGI architectural approaches

These research topics are explored in our blog and inform our long-term platform development.

# For Developers
- API-first design
- Deploy models as production-ready APIs
- Integration with existing tech stacks
- Support for popular frameworks (PyTorch, TensorFlow, Hugging Face)

# Getting Started
1. Join our waitlist: https://monostate.ai/waitlist
2. Book a demo: https://cal.com/andrewmonostate
3. Explore use cases: https://monostate.ai/use-cases
4. Read our blog: https://monostate.ai/blog

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Last updated: 2025-10-09