
12 AI Safety Startups VCs Are Watching
VCs are backing startups building guardrails for AI adoption, focusing on enterprise trust and reliable performance.

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A new Shopify app targets merchants frustrated by rising percentage-based affiliate fees and cookie-blocking browsers.

Demos fool us. Real-world AI agents fail on messy data and flaky APIs. Guardrails are the fix.

The intense focus on AI/ML tools risks creating engineers who can't build robust, scalable systems. Fundamentals are being sidelined.
AI agents are moving beyond simple tasks to complex workflows, while GPU shortages continue to drive up costs, and persistent security vulnerabilities plague the tech landscape.

VCs are backing startups building guardrails for AI adoption, focusing on enterprise trust and reliable performance.

LangBot's architecture decouples AI models from messaging platforms, enabling Kimi K3's multi-app deployment.
The "Koll-Haul" hacker's tale gets a reflective update from Stoll, highlighting enduring cybersecurity challenges.

One developer's five-version exploration into natural language, self-healing end-to-end tests for web apps without code.

Figma's new AI skills automate tasks from animation suggestions to component audits, streamlining design processes.

Aniruddha Adak details his 369 merged pull requests into external GitHub repositories, providing a verifiable method for tracking contributions.

Strong candidates fail not on code, but on communicating their process to a scorecard.

AI assistants need to understand database schemas, but keeping this knowledge up-to-date is a persistent, unglamorous engineering challenge.

New benchmark reveals when multiple Codex agents offer real gains, not just overhead.

Stop overwhelming your audience. Use this simple, three-part structure to communicate complex technical issues clearly and effectively.