E2B

Name: E2B
Brand: E2B
Rating: 1 (1 reviews)

AI Native

E2B provides isolated ephemeral cloud sandboxes (ephemeral Linux environments and a Desktop Sandbox) that enable AI agents and applications to execute untrusted code, run terminal commands, access files and the internet, and interact with GUI-based workflows while offloading sandbox fleet operations to a managed runtime.

Est 2023|Valuation $104M|Raised $43.8M|34 Ref Customers

LinkedIn 7K|Web traffic 96K|FTEs 14|HQ San Francisco, California, US

MarketsAI Agent Sandboxes

01Competitive Landscape

Narrative competitive analysis

E2B vs Modal - Modal is a broader serverless compute platform with documented GPU offerings and public enterprise features. E2B focuses on sandboxed execution environments that are designed for agent workflows and microVM isolation. - For GPU training/inference or general-purpose serverless application deployment beyond sandbox runtimes, a platform with explicit GPU and application primitives may be preferable. - For secure execution of untrusted code in a turnkey agent-oriented environment, a specialized sandbox runtime may be appropriate. E2B vs Daytona - Third-party comparisons frequently describe Daytona as optimized for rapid environment creation and developer-oriented workflows, while E2B emphasizes microVM isolation and an ephemeral-first architecture. - Teams prioritizing persistent developer environments and ergonomic devbox workflows may favor Daytona-style products; teams prioritizing microVM-based isolation and agent runtime interfaces may prefer E2B’s design. E2B vs self-managed options (DIY on Kubernetes/VMs) - DIY solutions provide more direct control and can reduce vendor spend, but they require engineering effort to implement multi-tenant isolation, lifecycle management, rate limiting, template management, and observability. - E2B’s value proposition is operational simplicity and time-to-market for sandboxed agent execution; the trade-off is usage-based spend and some level of vendor dependency.

Market share/adoption trends

Vendor claims about enterprise adoption appear across vendor and investor materials. The definition of these metrics is not disclosed in public sources captured here; these claims should be treated as indicative signals rather than independent proof of deep production penetration.

	E2B	Modal	Daytona
Starting Price	Published tiered pricing including a free entry tier and paid plans; vendor-published per-seat/usage pricing available	Published entry-level/free tier with usage-based compute billing	Varies by offering; vendor-published pricing available
Primary Focus	Agent-oriented sandbox runtime; desktop "computer use"; microVM isolation	General serverless compute with GPU support and broader compute primitives	Developer environments and fast-start sandboxes
Key Strength	Firecracker microVM isolation and agent-oriented SDKs/templates; BYOC/self‑host messaging	Broader compute features, explicit GPU support, public enterprise features	Fast environment creation and dev-environment ergonomics (per third-party comparisons)
Key Weakness	Limited mainstream review coverage; public compliance posture unclear; some community reports of timeouts/performance	Not focused on sandbox-only workloads; cost and platform scope vary by workload	Isolation model and enterprise features vary; may use different container/VM approaches

01Competitive Landscape

Narrative competitive analysis

E2B vs Modal

Modal is a broader serverless compute platform with documented GPU offerings and public enterprise features. E2B focuses on sandboxed execution environments that are designed for agent workflows and microVM isolation.
For GPU training/inference or general-purpose serverless application deployment beyond sandbox runtimes, a platform with explicit GPU and application primitives may be preferable.
For secure execution of untrusted code in a turnkey agent-oriented environment, a specialized sandbox runtime may be appropriate.

E2B vs Daytona

Third-party comparisons frequently describe Daytona as optimized for rapid environment creation and developer-oriented workflows, while E2B emphasizes microVM isolation and an ephemeral-first architecture.
Teams prioritizing persistent developer environments and ergonomic devbox workflows may favor Daytona-style products; teams prioritizing microVM-based isolation and agent runtime interfaces may prefer E2B’s design.

E2B vs self-managed options (DIY on Kubernetes/VMs)

DIY solutions provide more direct control and can reduce vendor spend, but they require engineering effort to implement multi-tenant isolation, lifecycle management, rate limiting, template management, and observability.
E2B’s value proposition is operational simplicity and time-to-market for sandboxed agent execution; the trade-off is usage-based spend and some level of vendor dependency.

Market share/adoption trends

Vendor claims about enterprise adoption appear across vendor and investor materials. The definition of these metrics is not disclosed in public sources captured here; these claims should be treated as indicative signals rather than independent proof of deep production penetration.

	E2B	Modal	Daytona
Starting Price	Published tiered pricing including a free entry tier and paid plans; vendor-published per-seat/usage pricing available	Published entry-level/free tier with usage-based compute billing	Varies by offering; vendor-published pricing available
Primary Focus	Agent-oriented sandbox runtime; desktop "computer use"; microVM isolation	General serverless compute with GPU support and broader compute primitives	Developer environments and fast-start sandboxes
Key Strength	Firecracker microVM isolation and agent-oriented SDKs/templates; BYOC/self‑host messaging	Broader compute features, explicit GPU support, public enterprise features	Fast environment creation and dev-environment ergonomics (per third-party comparisons)
Key Weakness	Limited mainstream review coverage; public compliance posture unclear; some community reports of timeouts/performance	Not focused on sandbox-only workloads; cost and platform scope vary by workload	Isolation model and enterprise features vary; may use different container/VM approaches