What we couldn't find, we built.
Baponi is a sandboxed code execution platform for AI agents. Built in Rust, multi-layer Linux isolation, and designed so your data never has to leave your infrastructure. Founded 2026, Austin TX.
Born from operating AI infrastructure at hundreds of thousands of requests per second
Baponi was founded in 2026 in Austin, Texas by an engineer from Microsoft's AI infrastructure organization, operating distributed systems that served hundreds of thousands of requests per second. Two problems kept surfacing that no existing sandbox platform solved properly.
The first was container lifecycle overhead. Every sandbox SDK forced the same pattern: create a container, upload data, install dependencies, run code, download results, tear down. Forget to close? Zombie container. Timeout? State gone. LLM thinking between calls? Still billing. AI agents don't think in container lifecycles, and the infrastructure shouldn't either.
The second was data movement. Every platform required copying data into their storage or building custom sync pipelines. For teams with terabytes in S3 or GCS, that meant duplicated data, stale copies, and credentials scattered across services.
Baponi was built to eliminate both: a per-call execution model with no container lifecycle to manage, and BYOB storage that mounts your bucket as a local directory so data never moves.
Written in Rust: zero memory safety vulnerabilities by design
For infrastructure that executes untrusted code, memory safety isn't a language preference. It's a security decision.
Baponi's entire backend (API gateway, execution engine, credential management, and storage orchestration) is written in Rust. The language eliminates buffer overflows, use-after-free, and data races at compile time. These are the vulnerability classes that turn theoretical sandbox escapes into practical exploits.
In sandbox infrastructure, every eliminated vulnerability class is a defense layer that never needs patching, never needs emergency response, and never shows up in a CVE advisory.
5 Linux namespaces, seccomp-bpf syscall allowlist, cgroups v2 resource constraints
Every sandbox runs in its own isolated environment with multiple independent security boundaries. A vulnerability in one layer doesn't compromise the sandbox.
Each execution gets its own set of Linux namespaces (mount, PID, network, IPC, UTS), a seccomp-bpf filter that restricts system calls to a curated allowlist with argument-level filtering, and cgroups v2 resource constraints that prevent CPU, memory, and I/O exhaustion. These boundaries are enforced at the kernel level, not the application level.
- Process isolation: each sandbox has its own PID namespace. No visibility into other sandboxes or the host.
- Network isolation: dedicated network namespace per sandbox. No cross-sandbox communication.
- Filesystem isolation: read-only root, private mount namespace. BYOB storage mounted through a separate process.
- Syscall filtering: seccomp-bpf allowlist. Operations not explicitly permitted are blocked by the kernel.
Every claim independently verifiable
Published benchmarks, open architecture documentation, and a self-hosted deployment option that eliminates vendor dependency entirely.
Microsoft AI Heritage
Founded by an engineer from Microsoft's AI infrastructure organization. Architecture shaped by operating systems at hundreds of thousands of requests per second.
Written in Rust
Buffer overflows, use-after-free, and data races eliminated at compile time. Memory safety enforced before the code runs.
Self-Hosted Option
Deploy in your VPC with one Helm chart. Your deployment is self-contained: no dependency on Baponi-operated services.
Published Benchmarks
Sub-20ms sandbox overhead. Numbers published, not promised. Independently verifiable.
SOC 2 Audit Logs on Every Tier
Full audit trail on every execution and API call. Included on Free. No enterprise paywall for compliance basics.
Current as of April 2026.
Common questions about Baponi
What happens to my deployment if Baponi shuts down?
Enterprise customers run Baponi in their own Kubernetes cluster. The deployment is self-contained: it doesn't phone home, doesn't depend on Baponi-operated services, and continues running independently. Managed cloud customers can migrate to self-hosted at any time; the API and configuration are identical.
How does Baponi's isolation model work?
Every sandbox runs in its own Linux namespaces (mount, PID, network, IPC, UTS) with a seccomp-bpf filter restricting system calls to a curated allowlist, plus cgroups v2 resource constraints. These boundaries are enforced at the kernel level. The entire isolation stack is written in Rust, eliminating memory safety vulnerabilities in the security-critical path.
Why is Baponi written in Rust?
Sandbox infrastructure executes untrusted code by design. Rust eliminates entire classes of memory safety vulnerabilities (buffer overflows, use-after-free, data races) at compile time. These are the vulnerability classes most commonly exploited in sandbox escape attacks. For this problem domain, memory safety isn't a preference; it's a security requirement.
How does Baponi handle data governance?
Baponi's BYOB (Bring Your Own Bucket) model mounts your S3, GCS, or Azure Blob storage directly into sandboxes. Data never leaves your bucket and never transits through Baponi infrastructure. Credentials are managed through connectors: injected at runtime, wiped on exit, never visible to the AI agent's code.
What scale is Baponi designed for?
Baponi's architecture reflects direct experience operating AI infrastructure at hundreds of thousands of requests per second at Microsoft. Stateless executors scale horizontally. Sub-20ms cold start overhead means latency budgets stay intact at any volume. No architectural bottlenecks that surface only at scale.
Does Baponi have an uptime SLA?
Enterprise customers receive a custom SLA as part of their contract. Managed cloud availability is tracked on the public status page. The architecture is designed for high availability: stateless executors tolerate node failures, and the control plane runs on dedicated infrastructure with automated failover.
See Baponi in action
Talk to the engineering team about your use case, security requirements, and deployment model. Or start building on the free tier right now.