Market

Use Cases:

• CoPilot for Any Form of Writing (incl. every subsector of coding)
• Creative Brainstorming Assistant
• Information Synthesis & Summarization
• Search
• Convert Any Format to Any Format
• Make anything an API
• Structured Workflows on Unstructured Data

Key Segments:

Useful Resources

General

Link	Description
Sequoia: Developer Tools 2.0	Mapping AI in the SDLC
A Foundation Models Primer - March 2023	Early Products & Use Cases Market Structure and Landscape
Google "We Have No Moat, And Neither Does OpenAI"	Leaked Internal Google Document Claims Open Source AI Will Outcompete Google and OpenAI
AI and the Future of SaaS	"And that’s what AI should always be. A feature of your product, not your product itself. AI can be an interface to your users’ data or a means of transforming that data into shapes that are more useful to your users"
The AI Hype Cycle Is Distracting Companies	Here's the problem: Most people conceive of ML as "AI" "AI" suffers from an unrelenting, incurable case of vagueness — it is a catch-all term of art that does not consistently refer to any particular method or value proposition

Security

Link	Description
Large language models in security	A list of areas where LLMs could be applied or integrated within security: SIEM Static Analysis Email Security & Phishing SOAR Data loss prevention & Data Security Remediation Translation between security and everyone else Secure defaults and engineer-oriented security workflows Vendor Security Questionnaires & Compliance
Security for AI: The New Wave of Startups Racing to Secure the AI Stack	In the race to adopt generative AI, every enterprise grapples with a common concern: security We divide the emerging technologies into three categories: governance, observability, and security