Buildfunctions™
Choose from multiple languages and runtimes. Write your code using Python, JavaScript, TypeScript, and more - all with built-in AI libraries and frameworks.
Deploy to the internet in seconds. Assign custom domains or use a buildfunctions.app subdomain to invoke your functions. Scale automatically with zero infrastructure management.
Watch your workloads automatically scale to meet demand, ensuring efficient execution of a variety of tasks. Handle thousands of requests with intelligent load balancing and resource optimization.
A simple solution to serverless computing:
The Unified Solution for Building Resilient AI Agents
Purpose-built infrastructure that protects your applications from untrusted AI actions through hardware-isolated sandboxes.
The Agentic Mismatch
Traditional serverless was built for trusted web requests. AI agents demand something fundamentally different.
Traditional serverless products are excellent and efficient mechanisms for trusted web requests; however, AI agents push far beyond what they were designed for, introducing autonomous decision making, dynamic execution of untrusted actions, and long-running stateful systems that create performance, cost, and security challenges that traditional serverless was never built to handle.
As a result, these “legacy” serverless products become dangerous vectors when handling untrusted AI actions, such as running AI-generated code or executing reward functions.
Failure Points:
Rigid Runtimes
Imagine an agent decides mid-task that it needs a new library, needs to run longer than expected to complete analysis, or tries to pass a file to the next agent task, only to fail due to rigid runtimes, hard timeouts, or ephemeral filesystems.
Runaway Costs & Resource Starvation
Or worse, imagine an agent hits a bad loop: it starves other workloads through shared compute and triggers autoscaling that turns a single mistake into a massive cloud bill within minutes.
The Multi-Provider Stack Problem
Beyond these failure points, popular products also lack the fundamentals required to self-host AI agents, including automatic model mounting, full GPU access inside sandboxes, and a simple, unified setup that doesn’t require stitching together multiple services.
In fact, many setups today require customers to manage a multi-provider stack to support a single agent workflow, combining one platform for hosting a top-level application, another for sandboxed execution, and a third for model inference. Each service comes with its own contracts, billing cycles, and developer workflows, creating significant operational and financial friction.
The Architecture
To solve these failure points, Buildfunctions designed an SDK for Agents that provides hardware-isolated sandboxes. This critical infrastructure protects top-level applications from untrusted AI actions through an architecture purpose-built for autonomous execution.
Control Plane
CPU and GPU Functions orchestrate top-level application or agent logic.
Compute Plane
Nested CPU and GPU Sandboxes execute untrusted and dynamic agent actions.
Runtime Controls
A guardrail layer around functions and tool calls that enforces per-run budgets, permissions, loop and circuit breakers, retry and cancellation controls, and telemetry. Sensitive actions are gated before execution with policy checks and exit limits.
Built for Production AI
Everything you need to run AI agents reliably at scale