sqlc-dev
Riza provides safe and easy execution of untrusted code generated by LLMs or humans, enabling 'just-in-time programming' for agentic applications.
At a Glance
- AI Startups
- Developer Infrastructure
- LLM Application Builders
AI Tools by sqlc-dev
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sqlc
SQL to Typesafe Code Generator
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Products & Services
Open-source SQL compiler that generates fully type-safe idiomatic code from SQL queries.
Secure, isolated environment for executing untrusted Python, JavaScript, TypeScript, Ruby, and PHP code using WebAssembly.
API endpoint for executing specific functions safely within the Riza environment.
Market Position
Riza differentiates itself by focusing on the 'safety' primitives needed to run LLM-generated code in production, positioning itself as the 'engine' for JIT programming.
Leadership
Founders
Andrew Benton
Co-Founder, CEO. Former software engineer, PM, CEO, COO, investor, and advisor at companies including Infoblox, Twilio, Charge, and ngrok.
Kyle Conroy Gray
Co-Founder, CTO. Creator of sqlc. Over a decade of experience building and scaling systems at Twilio, Stripe, and Retool.
Executive Team
Andrew Benton
Co-Founder & CEO
Experienced leader with roles at Twilio, ngrok, and Infoblox.
Kyle Conroy Gray
Co-Founder & CTO
Engineer and creator of sqlc, formerly of Stripe, Retool, and Twilio.
Board of Directors
Founding Story
Started as an experiment to help a friend's company with WASM-based code execution. After serving billions of requests, the founders incorporated Riza to build a production-grade secure execution platform.
Business Model
Revenue Model
Usage-based subscription for code execution API and cloud-based features of sqlc.
Pricing Tiers
Up to 100,000 requests per month, 30-second execution time limit, 3 Custom Runtimes.
1,000,000 requests per month, up to 15-minute execution time limit, 50 Custom Runtimes, Slack support.
Custom request quota, self-hosting available, SOC 2 reports, dedicated support.
Target Markets
- AI Startups
- Developer Infrastructure
- LLM Application Builders
- Just-in-time programming for AI agents
- Safe execution of user-provided code
- Structured data extraction from unknown log formats
- Customizing AI agents and evaluations
- PromptLayer