# Fly.io AI visibility in AI Code Sandboxes & Agent Runtimes

Canonical: https://devtune.ai/verticals/ai-code-sandboxes-agent-runtimes/flyio

[Website](https://fly.io/)

Updated: 2026-09-26T21:42:26.776658+00:00
Prompts: 25
Runs: 6


## Platforms

- chatgpt-search
- perplexity
- google-ai
- bing-copilot-search
- google-ai-mode
- xai-search

Rank: 6
Total brands: 10
Measured responses: 150
Presence percent: 2.666666666666667
Share of voice percent: 1.8927444794952681
Average position: 4.5
Docs presence percent: 0.6666666666666667
Blog presence percent: 0
Brand mention percent: 11.333333333333332


## Profile

Overview: Fly.io is a developer-focused public cloud platform that converts Docker containers into hardware-virtualized Firecracker microVMs running on Fly.io's own global bare-metal infrastructure. Founded in 2017 and headquartered in Chicago, IL, the company has raised approximately $115M through Series C funding from investors including a16z, EQT Ventures, Intel Capital, and Dell Technologies Capital. Its core product, Fly Machines, enables fast-booting, autoscaling VMs deployable across 18+ global regions with built-in private networking. In the AI agent runtime space, Fly.io offers Sprites—hardware-isolated, stateful sandbox environments with checkpoint/restore designed to run AI-generated or agent-directed code. The platform also includes Managed Postgres, Tigris object storage, Upstash Redis, MCP server hosting, and a managed Kubernetes service, serving startups, SaaS teams, and AI developers.
Product summary: Fly.io is a developer-first cloud platform offering hardware-virtualized microVMs (Fly Machines) deployable globally across 18+ regions on Fly.io's own bare-metal infrastructure. Its Sprites product provides stateful, hardware-isolated sandboxes for AI agent code execution with checkpoint/restore and granular per-CPU-second billing. The broader platform includes Managed Postgres, Tigris object storage, Upstash Redis, MCP server hosting, and Fly Kubernetes — all accessed through the flyctl CLI or REST APIs — positioning Fly.io as a full-stack alternative to both hyperscalers and specialized AI sandbox vendors.


### Key capabilities

- Fly Machines: hardware-virtualized Firecracker microVMs with sub-second boot times and per-second billing
- Sprites: stateful, hardware-isolated AI code sandbox environments with checkpoint/restore and persistent NVMe storage
- Global deployment across 18+ regions with sub-100ms latency targets
- Autoscale-to-zero via autostop/autostart proxy (billed only when running)
- Private WireGuard mesh networking with end-to-end encryption and automatic per-sandbox isolation
- Managed Postgres, Tigris Object Storage, and Upstash Redis as integrated extensions
- flyctl CLI with framework auto-detection for Docker, Rails, Django, Laravel, Next.js, Phoenix, and more
- MCP server hosting for LLM/AI agent tool integrations
- Fly Kubernetes (FKS): managed Kubernetes running on Fly bare-metal infrastructure
- SOC2 Type 2 attestation, HIPAA compliance add-on, and SSO for enterprise organizations



### Target users

- Full-stack developers deploying globally distributed web applications
- AI and agent developers needing secure, isolated sandboxed code execution environments
- Startups and scale-ups migrating from Heroku or seeking a simpler AWS/GCP alternative
- Platform companies and developer tool builders requiring per-tenant VM isolation
- Backend engineers building real-time, low-latency distributed systems
- DevOps teams wanting bare-metal control without hyperscaler operational complexity



### Key use cases

- Running AI coding agents (Claude Code, Codex, Gemini) in isolated, stateful sandbox environments via Sprites
- Deploying full-stack web applications globally close to end users
- Multi-tenant SaaS platforms requiring per-customer isolated VM compute
- Background job and task processing with scale-to-zero economics
- Globally distributed Postgres database deployments
- Hosting MCP servers for LLM/AI agent tool integration
- Building and deploying browser automation agents with isolated networking policies
- Migrating Heroku applications to a more flexible, globally distributed platform

Integrations ecosystem: Fly.io offers a managed extensions ecosystem including Tigris Object Storage (S3-compatible, globally distributed), Upstash Redis, and Sentry error tracking integrated directly into the platform and billed through Fly. The flyctl CLI supports GitHub Actions and GitLab CI/CD workflows. Framework-native deployment pipelines exist for Phoenix/Elixir, Ruby on Rails, Django, Laravel, Next.js, Node.js, Bun, Deno, Go, Rust, and Python. The platform supports WireGuard-based private networking, Macaroon-based access tokens, and OpenID Connect. Sprites exposes a REST API and SDKs for JavaScript and Go. MCP (Model Context Protocol) server hosting is supported, enabling LLM tool integrations with Claude, Gemini, and Cursor. Fly Kubernetes (FKS) enables Kubernetes workloads on Fly bare-metal infrastructure.
Pricing summary: Fly.io operates on a pay-as-you-go model billed per second with no required monthly plan. Shared-CPU VMs start at approximately $2/month (1 shared CPU, 256MB RAM); performance-class VMs start at approximately $32/month (1 performance CPU, 2GB RAM). Persistent storage volumes cost $0.15/GB/month. Sprites (AI sandbox product) are billed at $0.07/CPU-hour and $0.04375/GB-hour for RAM, plus NVMe hot storage and durable object storage. Egress to public internet ranges from $0.02/GB (North America/Europe) to $0.12/GB (Africa/India). Support plans are $29/month (Standard), $199/month (Premium), or $2,500/month (Enterprise). HIPAA/SOC2 compliance add-on is $99/month. A 40% discount is available via upfront annual machine reservation blocks. Fly Kubernetes costs $75/month per cluster plus compute. No permanent free tier is offered to new organizations.
Review summary: G2 shows a 4.7/5 rating from only 3 reviews, limiting statistical reliability. Developer blog posts, community forums, and third-party reviews broadly praise Fly.io's CLI simplicity, fast initial deployment experience (apps up in minutes via fly launch), and globally distributed architecture as a credible Heroku successor. Common criticisms include the removal of the permanent free tier, occasional billing surprises on pay-as-you-go, platform downtime incidents, and thinner built-in observability compared to major cloud providers. Trustpilot reviews are highly polarized. Overall developer sentiment in technical communities (Hacker News, community.fly.io) is positive, particularly among teams building latency-sensitive or globally distributed applications.
Competitive positioning: Fly.io positions itself as a developer-first public cloud running on its own global bare-metal hardware, occupying a middle ground between heavyweight hyperscalers (AWS, GCP) and simple PaaS offerings. Within the AI Code Sandboxes & Agent Runtimes vertical, Fly.io competes primarily via Sprites — hardware-isolated Firecracker-based sandbox environments with checkpoint/restore and per-CPU-second billing, explicitly targeting AI coding agents (Claude Code, Codex, Gemini). Unlike pure-play sandbox vendors (E2B, Morph Labs, Runloop) that focus exclusively on agent execution, Fly.io offers sandboxing as one layer of a broader full-stack platform that also includes global networking, Managed Postgres, MCP server hosting, and Kubernetes. Ownership of bare-metal infrastructure across 18+ regions enables cost economics and latency profiles that cloud-layer competitors cannot easily replicate.
Limitations: GPU compute has been deprecated and will be unavailable after August 1, 2026, limiting ML training and inference use cases on-platform. No permanent free tier for new organizations; legacy free allowances apply only to accounts predating plan changes. Community reviews note recurring instances of platform instability and unplanned downtime. Paid support plans are required for guaranteed engineer response times ($29/month minimum). HIPAA/SOC2 compliance support is an additional $99/month add-on. The platform offers less low-level IaaS customization than AWS or GCP. Third-party marketplace and integration breadth is narrower than hyperscalers.


### Source urls

- https://fly.io/
- https://fly.io/docs/about/pricing/
- https://fly.io/blog/we-raised-a-bunch-of-money/
- https://sprites.dev/
- https://fly.io/customer-stories
- https://www.g2.com/products/fly-io/reviews
- https://intechnology.intel.com/video/fly-io-developer-centric-cloud/
- https://tracxn.com/d/companies/fly/___PrDGOcXraqOs0LXciUAk-wSCsINHif2elsCycXpwYQ

Reviewed at: 2026-04-28T23:38:02.158+00:00


### Customer outcomes





### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.7 | 5 | 3 | https://www.g2.com/products/fly-io/reviews |



### Review themes



#### Praised

- Fast, intuitive flyctl CLI for deployment
- Simple Docker-based deployment workflow
- Global edge deployment across multiple regions in minutes
- Hardware isolation and strong security model
- Active and helpful community forum
- Per-second billing — pay only for actual usage
- Strong framework-specific documentation (Rails, Phoenix, Django, Laravel)



#### Criticized

- Removal of permanent free tier for new organizations
- Billing transparency and unexpected charges on pay-as-you-go
- Platform downtime and reliability incidents
- Limited built-in observability compared to hyperscalers
- Paid support plans required for guaranteed engineer response times
- GPU compute deprecation removing ML/inference workload option
- Narrower third-party integration ecosystem than major cloud providers




### Company facts

Founded year: 2017
Hq: Chicago, IL, USA


#### Founders

- Kurt Mackey
- Jerome Gravel-Niquet
- Michael Dwan
- Thomas Ptacek

Employees range: 51-100
Total funding: ~$115M
Valuation: Not available
Arr: Not available
Customer count: Not available
Status: Private (Series C)


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Modal | 55 | 150 | 36.666666666666664 | 4.288288288288288 |
| Northflank | 39 | 150 | 26 | 4.91358024691358 |
| Daytona | 30 | 150 | 20 | 3.55 |
| E2B | 28 | 150 | 18.666666666666668 | 2.3488372093023258 |
| Cloudflare | 19 | 150 | 12.666666666666668 | 3.52 |
| Fly.io | 4 | 150 | 2.666666666666667 | 4.5 |
| CodeSandbox | 3 | 150 | 2 | 3.25 |
| Runloop | 3 | 150 | 2 | 3.3333333333333335 |
| Morph | 0 | 150 | 0 | Not available |
| Together AI | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 1 | 4 |
| perplexity | 0 | 0 |
| google-ai | 2 | 8 |
| bing-copilot-search | 0 | 0 |
| google-ai-mode | 1 | 4 |
| xai-search | 0 | 0 |



## Strengths





## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which microVM-based sandbox platforms have the smoothest onboarding for a solo developer shipping an AI coding assistant MVP? | 5 |
| What are the best code execution sandbox options that support pre-installing custom dependencies from a private package registry before agent runs? | 5 |
| I need an AI agent sandbox that allows secure outbound connections to a relational database during execution — which platforms support that? | 5 |
| I need a code execution environment that supports GPU workloads for AI-generated training scripts — which sandboxed platforms handle that use case? | 4 |
| What do platform engineers typically use to manage ephemeral execution environments for AI agents — and which options have the least operational burden? | 4 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 1 |
| Developer Experience | 5 | 0 |
| Integrations & Ecosystem | 5 | 0 |
| Performance & Reliability | 5 | 1 |
| Setup & First Run | 5 | 2 |



## Prompt results

- Prompt text: Which sandboxed execution platforms let AI agents run arbitrary shell commands safely without kernel-level escape risks or shared-tenant interference?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Runloop | 2 |
| Daytona | 4 |
| Cloudflare | 5 |
| Modal | 6 |
| Northflank | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 2 |
| Northflank | 3 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Daytona | 3 |



##### Xai-search




- Prompt text: What sandboxed agent runtime platforms are best suited for production workloads executing user-submitted code thousands of times per day?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cloudflare | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Northflank | 3 |



##### Xai-search




- Prompt text: I'm adding a code interpreter to my LLM app and need a sandboxed runtime — which services are easiest to integrate without managing my own infrastructure?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Runloop | 3 |
| Modal | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Cloudflare | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Bing-copilot-search





##### Google-ai-mode





##### Xai-search




- Prompt text: I need a code execution environment that supports GPU workloads for AI-generated training scripts — which sandboxed platforms handle that use case?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |
| Northflank | 5 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Modal | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 2 |



##### Xai-search




- Prompt text: What do platform engineers typically use to manage ephemeral execution environments for AI agents — and which options have the least operational burden?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 2 |
| Modal | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Daytona | 1 |
| Modal | 2 |



##### Xai-search




- Prompt text: What sandboxed execution environments have good support for streaming output back to the calling application in real time during an agent's code run?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Daytona | 2 |
| E2B | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Cloudflare | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Cloudflare | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Cloudflare | 2 |



##### Google-ai-mode





##### Xai-search




- Prompt text: What's the fastest sandbox runtime to spin up for an AI agent backend — which platforms let you get isolated code execution running in under 5 minutes?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: 4
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 2 |
| Modal | 4 |
| CodeSandbox | 5 |
| Cloudflare | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Daytona | 1 |
| E2B | 4 |
| Modal | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Fly.io | 4 |
| Modal | 8 |



##### Bing-copilot-search





##### Google-ai-mode





##### Xai-search




- Prompt text: Which isolated execution environments scale elastically under bursty AI agent traffic without me having to pre-provision capacity?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Cloudflare | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Daytona | 3 |
| E2B | 7 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Daytona | 2 |
| Modal | 3 |



##### Xai-search




- Prompt text: Which microVM-based sandbox platforms have the smoothest onboarding for a solo developer shipping an AI coding assistant MVP?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 2 |



##### Xai-search




- Prompt text: Which sandboxed agent runtimes integrate well with popular LLM orchestration frameworks so I don't have to build a custom execution bridge?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 4 |
| Modal | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Xai-search




- Prompt text: Which microVM sandbox services have the lowest cold-start latency for AI agent code execution at scale — sub-500ms range?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Northflank | 2 |
| Daytona | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 15 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| E2B | 3 |



##### Xai-search




- Prompt text: Looking for an ephemeral code execution environment I can provision per user session — which services have a simple SDK or API to get started quickly?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Cloudflare | 2 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |
| E2B | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Cloudflare | 1 |
| Northflank | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 2 |



##### Xai-search




- Prompt text: My AI agent generates and executes code in a tight loop — which sandbox platforms sustain high-frequency execution without degrading over time?


#### Brand position by platform

Chatgpt-search: 2
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 1 |
| Fly.io | 2 |
| Modal | 3 |
| E2B | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 6 |
| Modal | 7 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode





##### Xai-search




- Prompt text: Which code sandbox services have good observability built in so I can actually debug what my AI agent is running inside the environment?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 1 |
| E2B | 2 |
| Modal | 3 |
| Cloudflare | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |
| Cloudflare | 3 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 2 |
| Modal | 3 |



##### Xai-search




- Prompt text: Which agent compute platforms have the most active developer communities and solid docs for teams just getting into agentic AI workflows?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Perplexity





##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 2 |



##### Xai-search




- Prompt text: What are the best code execution sandbox options that support pre-installing custom dependencies from a private package registry before agent runs?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cloudflare | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| CodeSandbox | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 2 |
| Cloudflare | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Xai-search




- Prompt text: Which agent compute platforms avoid heavy lock-in and work across major cloud providers so I can keep data residency in my existing infrastructure?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 2 |
| Daytona | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Daytona | 1 |



##### Xai-search




- Prompt text: I need an AI agent sandbox that allows secure outbound connections to a relational database during execution — which platforms support that?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Daytona | 2 |
| E2B | 3 |
| Cloudflare | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |
| E2B | 3 |
| Daytona | 8 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Xai-search




- Prompt text: Which AI sandbox platforms offer the best developer experience for iterating on agent tools locally before deploying to production?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 3 |
| Daytona | 4 |
| Modal | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 5 |
| Modal | 10 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Xai-search




- Prompt text: I want a sandboxed runtime where my team can define reusable execution templates — which platforms make that workflow easy without deep infra knowledge?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| CodeSandbox | 1 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 3 |



##### Xai-search




- Prompt text: What are the best isolated runtime options for AI agents that need persistent filesystem state across multiple execution steps in a single session?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: 2
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 3 |
| Northflank | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Fly.io | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |



##### Xai-search




- Prompt text: I'm evaluating sandboxed agent runtimes for a small team building an AI data analyst tool — what should I look at to avoid the overhead of self-hosting?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 3
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Cloudflare | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 2 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Modal | 2 |
| Fly.io | 3 |



##### Xai-search




- Prompt text: Looking for a sandboxed code interpreter that can handle long-running jobs — 10 to 30 minutes — without hitting timeout limits. What are my options?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| E2B | 2 |
| Daytona | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 6 |
| Northflank | 7 |



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Cloudflare | 6 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 3 |



##### Xai-search




- Prompt text: Which agent runtime platforms support spawning concurrent sandbox instances so multiple AI agents can run code in parallel for a multi-agent workflow?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 5 |
| Cloudflare | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |



##### Xai-search




- Prompt text: Which code sandbox platforms are considered production-ready for enterprise AI applications where uptime and SLA guarantees actually matter?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 3 |
| Modal | 4 |
| Cloudflare | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 3 |
| Runloop | 5 |
| Northflank | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 2 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Xai-search







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://fly.io/learn/agent-sandbox/ | Agent Sandboxes: Isolated Runtimes for Testing AI Agent Behavior · Learn | fly.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/75a7c64e9f9310b56fd687e2bbe5ed9cb011ab28.png | commercial | documentation | 13 | 13 |
| https://fly.io/learn/agent-sandbox-providers/ | Where to Run Agent Code: AI Agent Sandbox Providers Compared | fly.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/75a7c64e9f9310b56fd687e2bbe5ed9cb011ab28.png | commercial | comparison | 8 | 8 |
| https://fly.io/learn/fly-vs-modal/ | Fly.io vs Modal: Agent Sandboxes, Snapshots, and Isolation ... | fly.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/75a7c64e9f9310b56fd687e2bbe5ed9cb011ab28.png | commercial | comparison | 2 | 2 |
| https://fly.io/docs/reference/fly-proxy-autostop-autostart/ | Fly Proxy autostop/autostart · Fly Docs | fly.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/75a7c64e9f9310b56fd687e2bbe5ed9cb011ab28.png | commercial | documentation | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| I'm evaluating sandboxed agent runtimes for a small team building an AI data analyst tool — what should I look at to avoid the overhead of self-hosting? | perplexity | ...naged hyperscaler runtimes, framework-native platforms, and sandbox/serverless runtimes like E2B, Modal, Daytona, Fly.io Machines, Cloudflare Agents, and Vercel Sandbox [1]. Another comparison notes that for self-operated options, the license d... |
| I need a code execution environment that supports GPU workloads for AI-generated training scripts — which sandboxed platforms handle that use case? | perplexity | [2] Several popular code-execution sandboxes are not suitable for this use case: E2B, Fly.io Sprites, Vercel Sandbox, and Cloudflare Sandbox are described in the results as CPU-only or lacking GPU support for their sandbox offerings. |
| I need an AI agent sandbox that allows secure outbound connections to a relational database during execution — which platforms support that? | perplexity | Self-hosted or cloud VMs/containers with VPC networking — Platforms such as Fly.io Machines, E2B, Daytona, and similar runtimes can support database access if you control the network layer—e.g., place the sandbox in a private subnet, use... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| perplexity | E2B | ...e smoothest onboarding roughly as follows: \| Rank \| Platform \| Why it’s smooth \| Main caveat \| \|---\|---\|---\|---\| \| 1 \| E2B \| Best fit for an AI coding agent: purpose-built Firecracker microVMs, Python and TypeScript SDKs, shell/filesystem/networ... |
| google-ai | Modal | Modal * Onboarding Experience: E2B provides clean, well-typed SDKs (Python and TypeScript) that allow you to spin up an isolated Firecracker microVM in just a few lines of code. |
| bing-copilot-search | Northflank | ...ding assistant MVP, the smoothest onboarding microVM-based sandbox platforms right now are Docker Sandboxes and E2B, with Northflank being the most complete but heavier to set up. Docker Sandboxes wins on simplicity (one-line install, disposable microV... |
| google-ai-mode | Northflank | Northflank +2 * Daytona : An open-source development environment manager and secure sandbox orchestrator built for AI agents. |
| chatgpt-search | Cloudflare | ...\| Kubernetes + sandbox runtime \| Yes \| Yes \| Pods, gVisor/Kata/Firecracker options \| Enterprise agent platforms \| \| Cloudflare Sandbox \| Depends on container workflow \| Yes via container setup \| Cloudflare Containers \| Agents already running on Clo... |
| perplexity | CodeSandbox | ...xplicitly support private/custom package registries and can be configured so dependencies are available before agent runs: ## 1) CodeSandbox / Sandpack Best fit if you want a mature sandboxing ecosystem with first-class private registry support. |
| google-ai | Modal | Modal Here are the top code execution sandbox options that handle custom dependencies and private registries effectively: ### 1\. |
| bing-copilot-search | Northflank | The best sandbox platforms for pre-installing custom dependencies from private registries are Beam, Northflank, Cloudflare Sandboxes, and E2B. |
| google-ai-mode | Modal | Modal * Isolation Technology: gVisor with rigorous system call (syscall) filtering. |
| chatgpt-search | Modal | Direct database connection Agent sandbox \| \| TCP :5432 v PostgreSQL For this, E2B, Modal, and Daytona are the most interesting choices. |
| chatgpt-search | Daytona | Direct database connection Agent sandbox \| \| TCP :5432 v PostgreSQL For this, E2B, Modal, and Daytona are the most interesting choices. |
| chatgpt-search | E2B | Direct database connection Agent sandbox \| \| TCP :5432 v PostgreSQL For this, E2B, Modal, and Daytona are the most interesting choices. |



## Trend

Visibility delta: -3.999999999999999
Avg position delta: 0.05555555555555536
Citation count delta: -3