Riza
Riza provides secure WebAssembly-based code execution infrastructure that lets LLM-powered AI applications safely run generated Python, JavaScript, TypeScript, Ruby, and PHP code at sub-10ms latency. It serves AI-native companies via usage-based API pricing and self-hosted enterprise deployment.
- Company typePrivate
- Founded2015
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Riza does
Riza provides secure code execution infrastructure purpose-built for AI applications whose large language models generate code that must run safely. The company addresses a specific problem: LLMs can write code but cannot safely execute it without risking production systems and credentials. Riza's core offering is a Code Interpreter API that executes Python, JavaScript, TypeScript, Ruby, and PHP code inside isolated WebAssembly sandboxes, with each execution starting in under 10 milliseconds and no cold-start latency. The platform is extended by custom runtimes supporting third-party Python/JavaScript packages, a Secrets Management module, a Tools API for versioned reusable functions, SDKs for Python, TypeScript, Go, and Node.js, an API Playground, and a self-hosted Kubernetes deployment option for enterprise customers requiring on-prem infrastructure.
Riza operates a developer-focused, product-led go-to-market model. Customers self-serve sign up via dashboard.riza.io to obtain an API key, with a free tier available and usage-based pricing beyond free limits. The company takes a horizontal segmentation approach, serving AI-native companies across use cases including data analysis and visualization, agent code execution, data extraction and transformation, user-generated code execution, and code-generation evaluations. Riza has integrated natively with the major LLM platforms — Anthropic Claude, OpenAI, Google Gemini, Mistral, and Groq — and with agent frameworks LangGraph and PydanticAI, giving it broad ecosystem reach. The company claims billions of code executions per month for AI-native customers, with named customers including Hyperscout (running Python millions of times per day) and PromptLayer.
Riza was founded as Riza, Inc., a California-domiciled C-corp headquartered in San Francisco. The company has raised a $2.7 million seed round in April 2025 led by Matrix Partners, with 43 angel investors participating, and operates with 1–10 employees. Revenue is not publicly disclosed. A significant strategic event surfaced in product documentation: the hosted Code Interpreter API is being shut down on October 1, 2025, signaling a commercial pivot toward the self-hosted deployment model as the primary revenue vehicle. Note: source data contains a conflict on founding year — firmographics list 2024 while company-history materials reference 2015; the firmographic date is used here.
Riza firmographics
Firmographics- Name
- Riza
- Legal name
- Riza, Inc.
- Website
- https://riza.io
- Company type
- Private
- Founded year
- 2015
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Riza provides secure WebAssembly-based code execution infrastructure that lets LLM-powered AI applications safely run generated Python, JavaScript, TypeScript, Ruby, and PHP code at sub-10ms latency. It serves AI-native companies via usage-based API pricing and self-hosted enterprise deployment.
- Ownership category
- akta.pro rank
Riza industry classification
Industry- Product category
- AI Code Execution Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Secure Model Deployment & Runtime Protection (sandboxing, isolation) (HDAAAKAH)
- akta.pro secondary industries
- Identity, Access & Secrets Management for AI Systems (IAM for agents/models) (HDAAAKAJ), Web Application Security (WAF, RASP) (HDADACAA)
Keywords
Where Riza is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Riza business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- API Usage-Based Pricing: Charges based on code execution volume. Supports free tier for initial usage with pay-as-you-go scaling beyond free limits.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier with API access |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels7 records
Riza product offering
Product offeringCore offering
Riza provides a secure, isolated code execution API that allows AI applications and LLMs to safely run code they generate. The WebAssembly-based sandbox supports Python, JavaScript, TypeScript, Ruby, and PHP, with sub-10ms execution latency, custom runtimes for third-party packages, secrets management, and a Tools API for reusable code functions.
Product overview
Riza is a code execution platform for AI applications that provides secure, isolated code execution via REST API. The core product is the Code Interpreter API, which allows LLMs to safely execute Python, JavaScript, TypeScript, Ruby, and PHP code in WebAssembly sandboxes. Additional offerings include Self-hosted Riza for on-premises deployment, Custom Runtimes for adding third-party package dependencies, Secrets Management for secure credential injection, and Tools API for creating reusable versioned code functions. The platform includes a Dashboard for project management, an API Playground for testing, and official client libraries (SDKs) for Python, TypeScript, Go, and Node.js.
Differentiator
Problem solved
Functional benefit
Products and services
- Riza Code Interpreter API RESTful API that allows AI applications to safely execute Python, JavaScript, TypeScript, Ruby, and PHP code in a secure WebAssembly sandbox. Execution begins in under 10ms with no cold starts. Designed for AI-native companies building LLM-powered applications that need to run generated code safely.
- Self-hosted Riza Self-hosted deployment of the Riza Code Interpreter distributed as a stateless, horizontally scalable Docker container or Kubernetes service. Targets enterprises with security, compliance, or performance requirements that prevent use of the hosted cloud offering. Requires a license key obtained via sales contact.
Quantifiable outcome
- Billions of code executions per month for AI-native companies
- +2 more outcomes
Companies that use Riza
Customer profileNamed customers2 records
Segments1 record
Ideal customer profiles2 records
Riza technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability4 records
Feature6 records
Riza partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- AnthropiccoreNative integration with Anthropic Claude models via tool use API. Riza's Code Interpreter serves as a tool that Claude can call to execute code safely. Comprehensive documentation and examples provided for Claude tool-use implementations.
Scale indicators3 records
Recent moves6 records
Expansion highlights6 records
Riza competitors and assessment
Company assessmentEmerging players
- Anyscale: Anyscale (built on Ray) provides scalable compute infrastructure for AI applications, with overlap in running LLM-generated or agent code at scale against managed infrastructure.
- Together AI: Together AI operates AI-focused cloud infrastructure (inference and execution) and overlaps with Riza on enabling AI-native companies to deploy and run code-driven AI workflows reliably.
Others
- Vercel: Vercel provides serverless edge compute and developer infrastructure for AI-augmented apps; while not a direct sandbox competitor, it sits in the same developer-infrastructure category as Riza and competes for AI app budgets.
Direct peers
- Modal: Modal offers serverless compute infrastructure optimized for AI workloads, including running untrusted or LLM-generated code, with a similar PLG developer experience and Python-first SDK.
- E2B: E2B provides secure, sandboxed code execution environments purpose-built for AI agents and LLM tool use — the closest direct competitor to Riza, with comparable multi-language interpreters and developer-first APIs.
- CodeSandbox: CodeSandbox offers cloud-hosted, isolated code execution sandboxes (SDK and remote VM APIs) for running arbitrary code, directly overlapping with Riza's secure interpreter platform for AI-generated code.
- Replit: Replit provides hosted, sandboxed code execution across multiple languages with an API/IDE product; it overlaps with Riza on secure multi-language interpreter-as-a-service for AI and developer use cases.
Broad incumbents
- Fly.io: Fly.io runs customer code in lightweight, isolated Firecracker microVMs globally; its developer-focused compute platform competes with Riza for AI workloads needing secure, low-latency execution.
- Cloudflare Workers: Cloudflare Workers and its V8 isolates provide secure, low-latency sandboxed code execution at the edge — a broad incumbent in the runtime/sandbox category that overlaps with Riza's isolation and performance story.
- OpenAI Code Interpreter: OpenAI's built-in Code Interpreter / Advanced Data Analysis tool gives ChatGPT users a native sandboxed execution environment, representing a first-party alternative that can absorb demand for third-party interpreters like Riza.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
Riza social profiles
Digital presenceRiza financial estimates
Financial estimateRevenue estimate
Valuation estimate
Riza leadership team
Management profileNumber of profiles
Riza funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Riza M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Riza
What does Riza do?
Riza provides a secure, isolated code execution API that allows AI applications and LLMs to safely run code they generate. The WebAssembly-based sandbox supports Python, JavaScript, TypeScript, Ruby, and PHP, with sub-10ms execution latency, custom runtimes for third-party packages, secrets management, and a Tools API for reusable code functions.
Is Riza a public or private company?
Riza is a private company. It is classified as venture growth investor backed and is currently operating.
When was Riza founded?
Riza was founded in 2015. It employs 1 to 10 people.
Where is Riza based?
Riza is headquartered in San Francisco, United States, in the North America region.
How does Riza make money?
One revenue line is on record: API Usage-Based Pricing.
Who are Riza's main competitors?
Emerging players on record are Anyscale and Together AI. Vercel is listed as an others. Direct peers are Modal, E2B, CodeSandbox and Replit. Broad incumbents are Fly.io, Cloudflare Workers and OpenAI Code Interpreter.
Does Riza have an API?
Yes. Riza provides a RESTful Code Interpreter API that allows AI applications to safely execute LLM-generated code. The API supports executing Python, JavaScript, TypeScript, Ruby, and PHP code in a secure WebAssembly sandbox. Developers can configure environment variables, network access, files, and stdin for code execution. The API includes endpoints for Execute Code, Execute Function, Custom Runtimes, Secrets Management, Tools, and Execution logging. Authentication uses Bearer tokens. Client libraries are available for Python, TypeScript, Go, and Node.js. MCP (Model Context Protocol) server support is available. Developer documentation is at docs.riza.io.
What industry is Riza in?
Riza's product category is AI Code Execution Infrastructure. Its primary akta.pro industry code is HDAAAKAH, Secure Model Deployment & Runtime Protection (sandboxing, isolation), with a secondary code of HDAAAKAJ, Identity, Access & Secrets Management for AI Systems (IAM for agents/models). Its NAICS code is 5182 and its SIC code is 7370.