Daytona
by Daytona
Sub-90ms stateful sandboxes that give every AI agent its own disposable computer
Daytona is agent-native compute infrastructure: programmable sandboxes that start in under 90 milliseconds, run untrusted AI-generated code in isolation, fork into parallel branches and snapshot mid-execution so state survives failures. It targets teams shipping coding agents and autonomous workflows who need isolation and compliance without building a container platform themselves.
Daytona provides isolated, programmable sandboxes for running AI-generated and untrusted code. Founded in 2023 by Ivan Burazin (CEO), Vedran Jukić (CTO) and Goran Draganić (Chief Architect) and headquartered in New York, the company pitches sandboxes as composable computers an agent configures on demand — CPU, memory, storage, GPU, networking and operating system — rather than as CI containers. The differentiating primitives are speed and state: sandboxes start in under 90 milliseconds (an independent comparison measured 27ms cold starts against pre-warmed pools), can fork into parallel branches so an agent explores several decision paths simultaneously, and can be snapshotted mid-execution so a long-running task resumes after a failure instead of restarting. Sandboxes are stateful and can run indefinitely, and volumes let agents share data across sandboxes while staying isolated. A declarative image builder creates environment snapshots straight from the SDK with Dockerfile, Docker Compose and Docker-in-Docker support, and SDKs cover Python, TypeScript, Ruby, Go and Java. Daytona positions itself compliance-first: HIPAA, SOC 2 and GDPR coverage, regional cloud hosting in the US, EU and Asia, and a customer-managed compute option where sandboxes run in the customer's own cloud and Daytona operates only the control plane. Pricing is per-second pay-as-you-go at $0.0504 per vCPU-hour and $0.0162 per GiB-hour of memory, with GPUs from $0.57/hour. The company raised a $24M Series A in February 2026 led by FirstMark Capital, reaching a $1M forward revenue run rate in under three months and doubling it six weeks later with roughly 20 employees. Customers include LangChain, SambaNova, Writer, Turing, n8n, Clay and Parabola.
The engineering lead shipping a coding agent or autonomous workflow that must execute model-generated code, especially in a regulated industry where that execution cannot happen on shared multi-tenant infrastructure.
Run untrusted agent code in an isolated sandbox that starts in under 90ms, forks for parallel exploration and snapshots so a long task survives failure.
At a Glance
- Category
- Infrastructure & Cloud
- Pricing
- Usage-based, Freemium, Contact for pricing
- Target Market
- CTOs, Enterprise Developers, AI Engineers, Platform Engineers
- Deployment
- Cloud-first, Hybrid, Self-hosted
- Founded
- 2023
- Headquarters
- New York, United States
- Team Size
- 11-50
- Customers
- Range from Y Combinator startups to Fortune 100 enterprises; named customers include LangChain, SambaNova, Writer, Turing, n8n, Clay, Martian and Parabola
Key Features
- ✓Sub-90ms sandbox creation
Sandboxes start fast enough to provision one per agent step, enabling massive parallelisation of concurrent agent workflows.
- ✓Fork and snapshot
Fork a running sandbox into parallel branches to explore decision paths, and snapshot mid-execution so state survives failures.
- ✓Stateful long-running sandboxes
Sandboxes persist indefinitely rather than terminating per request, which is what agents doing multi-hour tasks require.
- ✓Declarative image builder
Build environment snapshots straight from the SDK with Dockerfile and Docker Compose, without CLI uploads or registry management.
- ✓Customer-managed compute
Run sandboxes on isolated infrastructure in your own cloud while Daytona operates only the control plane — data never reaches the vendor.
- ✓Shared volumes across sandboxes
Agents access common datasets and artefacts from multiple sandboxes while each execution stays isolated from the others.
Capabilities
Use Cases
- •Coding agent execution backend
Give an agent a real computer to run, test and debug the code it writes, without risking the developer's machine or production.
- •Parallel solution search
Fork one sandbox into several branches, let the agent attempt competing fixes concurrently, and keep whichever passes tests.
- •Reinforcement learning environments
Spin thousands of isolated short-lived environments for agent training and evaluation runs, billed per second of actual use.
- •Regulated-industry agent deployment
Healthcare or financial services teams run agent workloads in their own cloud under HIPAA and SOC 2 controls.
- •Durable multi-hour agent tasks
A research or migration agent snapshots progress so a crash resumes from the last checkpoint instead of restarting.
Ideal For
Best For
- ✓Running AI-generated code from a coding agent without exposing production systems to untrusted execution
- ✓Parallel agent exploration, where forking a sandbox lets one agent try several approaches simultaneously and keep the best
- ✓Long-running autonomous tasks that must pause, snapshot and resume rather than restart after an infrastructure failure
- ✓Regulated deployments needing HIPAA, SOC 2 or GDPR coverage plus customer-managed compute so data never touches the vendor's servers
- ✓Reinforcement learning and agent evaluation harnesses that need thousands of short-lived isolated environments
Not Ideal For
- ✗Teams optimising purely for developer velocity and community resources — an independent April 2026 comparison found Daytona's SDK ecosystem less mature than E2B's, with thinner documentation and fewer examples
- ✗Organisations that chose Daytona for its open-source posture: as of June 2026 core development moved to a private codebase and the public GitHub repository is no longer maintained, so ongoing work is not visible
- ✗Workloads with predictable steady-state compute, where per-second vCPU and memory billing across a large sandbox fleet is harder to forecast than a reserved instance
- ✗Buyers who need a large established vendor behind a production dependency; Daytona is roughly 20 people on a $24M Series A
Integrations
Deployment
Market & Ratings
Range from Y Combinator startups to Fortune 100 enterprises; named customers include LangChain, SambaNova, Writer, Turing, n8n, Clay, Martian and Parabola
Market Analysis
Pros
- ✓Fastest cold start in its category per an independent April 2026 comparison — 27ms with pre-warmed pools against roughly 80ms for E2B and 2–4 seconds for Modal and Fly Machines
- ✓Compliance and data-control story that competitors do not match: HIPAA, SOC 2 and GDPR plus sandboxes running in the customer's own cloud with Daytona holding only the control plane
- ✓Fork, snapshot and indefinite stateful sandboxes map directly onto how long-running agents actually fail and recover
- ✓Strong early commercial traction — $1M forward revenue run rate in under three months, doubled six weeks later, with LangChain, SambaNova and Writer as reference customers
Cons
- ✗SDK and developer-tooling maturity trails E2B, with fewer community resources and thinner documentation, per the same independent comparison
- ✗The 71.9k-star public GitHub repository is no longer maintained — core development moved to a private codebase in June 2026 and the repo states it will receive no further updates, fixes or releases, which undercuts the open-source positioning
- ✗Roughly 20 employees on a $24M Series A is a small vendor to place in the critical path of a Fortune 100 agent workload
- ✗Per-resource, per-second billing is precise but hard to forecast for bursty agent fleets, and enterprise controls like SSO, audit logs and BYOC are all quote-only
- ✗Effectively no third-party review coverage — G2, Capterra, TrustRadius and Hacker News carry almost nothing on Daytona, so due diligence depends on references rather than aggregate user feedback
Pricing
Pay-as-you-go
From $0.0504/vCPU-hour
- ✓Per-second billing
- ✓$0.0162/hour per GiB of memory
- ✓$0.000108/hour per GiB of storage after 5 free GiB
- ✓Windows sandboxes at $0.0858/hour per vCPU
- ✓GPUs from $0.57/hour (RTX 4090) to $2.61/hour (H200)
- ✓$200 free compute on signup, no credit card required
Enterprise
Contact for pricing
- ✓Higher limits and volume discounts
- ✓SSO and audit logs
- ✓BYOC / customer-managed compute
- ✓HIPAA, SOC 2 and GDPR coverage
- ✓Regional hosting in US, EU and Asia
Pure consumption pricing billed per second and metered separately per resource: $0.0504 per vCPU-hour, $0.0162 per GiB-hour of memory and $0.000108 per GiB-hour of storage beyond 5 free GiB, with Windows sandboxes and GPUs priced higher. There are no seats. New accounts get $200 of free compute without a card and qualifying startups up to $50,000 in credits. SSO, audit logs, BYOC and higher limits are gated behind a quote-only Enterprise plan, and volume discounts are negotiated rather than published.
Security & Compliance
Connect
Sources
This page was written from 6 sources, 4 on domains other than daytona.io.
- 1.daytona.io — daytona.iovendor
- 2.daytona.io — pricingvendor
- 3.prnewswire.com — daytona raises 24m series a to give every agent a computer 3
- 4.tech.eu — daytona raises 24m series a to build agent native compute in
- 5.agentmarketcap.ai — ai agent sandbox infrastructure e2b modal daytona fly machin
- 6.github.com — daytona
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