# Runloop AI visibility in AI Code Sandboxes & Agent Runtimes

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

[Website](https://runloop.ai/)

Updated: 2026-10-18T00:10:06.418282+00:00
Prompts: 25
Runs: 6


## Platforms

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

Rank: 7
Total brands: 10
Measured responses: 150
Presence percent: 2
Share of voice percent: 1.0389610389610389
Average position: 10.25
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 7.333333333333333


## Profile

Overview: Runloop is a San Francisco-based infrastructure platform founded in 2024 by Jonathan Wall, co-founder of Google Wallet and former Stripe-acquired fintech Index. The company provides enterprise-grade 'Devboxes' — secure, isolated micro-VM sandboxes — purpose-built for the execution, evaluation, and deployment of AI coding agents. Unlike general cloud or developer environments, Runloop addresses the 'production gap' between prototype agents and scalable enterprise use. Core offerings include fast-booting devboxes on a custom bare-metal hypervisor, snapshot/suspend/resume lifecycle management, and a first-class benchmarking layer supporting SWE-Bench, SWE-Smith, and custom evaluation suites. The platform is SOC 2 Type II, HIPAA, and GDPR certified, with VPC deployment support for regulated industries. Runloop raised a $7M seed round in July 2025 led by The General Partnership.
Product summary: Runloop is an AI agent accelerator platform offering secure cloud-hosted devbox sandboxes, agent evaluation benchmarks, and enterprise deployment infrastructure. It is designed specifically for teams building, testing, and deploying AI coding agents at production scale.


### Key capabilities

- Secure micro-VM devboxes with dual-layer isolation (VM + container)
- Custom bare-metal hypervisor with 2x faster vCPUs and 100ms command execution
- 10k+ parallel sandbox scaling with <2s startup for 10GB images
- Suspend/resume and disk-state snapshotting for cost-efficient agentic workflows
- Public and custom benchmarking (SWE-Bench, SWE-Smith, R2E-Gym, custom suites)
- Reinforcement Fine-Tuning (RFT) and Supervised Fine-Tuning (SFT) at scale
- Agent Gateway and MCP Hub for opaque credential injection and MCP server management
- Configurable network egress policies per devbox
- Deploy to VPC with single-tenant AWS, GCP, or Azure deployment
- SOC 2 Type II, HIPAA, and GDPR compliance with CI/CD regression testing integration



### Target users

- AI-first startups building coding agents or developer tools
- Enterprise engineering and innovation teams deploying autonomous coding agents
- AI/ML research labs running large-scale agent evaluations and benchmarks
- Model labs needing evaluation infrastructure for training and verification
- Platform engineers building agent orchestration infrastructure
- Individual developers prototyping AI agent workflows



### Key use cases

- Running AI coding agents in isolated, production-grade environments
- Automated code review and pull-request response via AI agents
- AI-driven test case generation and code coverage improvement
- Benchmarking AI agents against SWE-Bench, SWE-Smith, and custom evaluation datasets
- Reinforcement learning and fine-tuning experiments for coding agents at scale
- Long-context debugging and code synthesis with stateful agent workflows
- Enterprise VPC deployment of autonomous coding agents in regulated environments
- Model lab evaluation and training data generation using real PR scenarios

Integrations ecosystem: Runloop provides Python and TypeScript SDKs and a REST API. Native integrations include GitHub (Repo Connect for automatic blueprint inference), MCP servers via MCP Hub (with credential isolation), OpenAI Agents SDK (announced April 2026), Stripe Projects (developer preview, March 2026), and W&B Weave for benchmark observability. SSH tunnels, WebSockets, and general API connectivity are supported within devboxes. VPC deployment runs inside customer-owned AWS, GCP, or Azure accounts. The CLI tool (rli) supports terminal-based devbox management and scripting automation.
Pricing summary: Three-tier model: Basic (free subscription + usage-based compute), Pro ($250/month + usage, includes suspend/resume, custom benchmarks, repo connections, Slack support), and Enterprise (custom pricing, adds RFT, VPC deployment, priority support, custom storage). Usage is billed per CPU-hour ($0.108) and per GB-hour of memory ($0.0252). Suspended devboxes accrue zero compute charges. New accounts receive $50 in credits and full Pro feature access with no credit card required. Public Benchmarks start at $25 for the base tier with pay-as-you-go scaling.
Review summary: No verified third-party review platform scores (G2, Gartner Peer Insights, Capterra) are publicly available for Runloop given its early-stage status. Qualitative customer feedback from named customers indicates strong satisfaction, particularly around reduction of infrastructure burden and accelerated go-to-market timelines. No negative public reviews were identified in available sources.
Competitive positioning: Runloop positions itself as the only enterprise-grade, end-to-end infrastructure platform purpose-built for AI coding agents — not adapted from human developer tooling. Its differentiators include a custom bare-metal hypervisor delivering 2x faster vCPUs with 100ms command execution, dual-layer micro-VM + container isolation, built-in agent evaluation and benchmarking (SWE-Bench, SWE-Smith, custom), and first-class compliance certifications (SOC 2 Type II, HIPAA, GDPR). Unlike general-purpose sandbox providers, Runloop pairs execution infrastructure with a benchmarking and fine-tuning layer, targeting the 'production gap' between prototype agents and enterprise-scale deployment.
Limitations: As a seed-stage company (~12 employees, founded 2024), Runloop has limited ecosystem maturity and a small public community footprint. GitHub stars on SDK repos are in the tens, indicating early developer adoption. The Pro plan ($250/month + usage) may be cost-prohibitive for solo developers relative to simpler sandbox alternatives. Enterprise VPC and compliance features are gated to the highest tier. No GPU compute offering is available. Reinforcement Fine-Tuning is an Enterprise-only feature. Third-party review coverage is absent given the company's recency, limiting independent validation of performance and reliability claims.


### Source urls

- https://runloop.ai/
- https://runloop.ai/about
- https://runloop.ai/pricing
- https://runloop.ai/blog
- https://docs.runloop.ai/docs/overview/what-is-runloop
- https://docs.runloop.ai/docs/devboxes/overview
- https://github.com/runloopai
- https://www.prnewswire.com/news-releases/runloop-raises-7m-seed-round-to-bring-enterprise-grade-infrastructure-to-ai-coding-agents-302516898.html
- https://www.prnewswire.com/news-releases/runloop-launches-public-benchmarks-industry-standard-testing-for-ai-coding-agents-302484797.html
- https://venturebeat.com/ai/runloop-lands-7m-to-power-ai-coding-agents-with-cloud-based-devboxes
- https://tracxn.com/d/companies/runloopai/__ECe7xqHfaLi4T6YxUHt-xbSUyvObBZXTwzJis1wq408
- https://www.runloop.ai/press/runloop-unveils-enterprise-grade-sandboxes-for-ai-coding-agents

Reviewed at: 2026-04-28T23:36:17.453+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Detail.dev | Dan Robinson, CEO of Detail.dev, credited Runloop with enabling the company to reach market without spending months on infrastructure build-out, allowing focus on their core AI agent product for crushing tech debt. | 6-month go-to-market compression |



### Reviews breakdown





### Review themes



#### Praised

- Fast devbox startup and execution speed
- Reduced infrastructure burden for agent teams
- Enterprise-grade security and compliance (SOC 2, HIPAA, GDPR)
- Suspend/resume cost efficiency for bursty workloads
- Integrated benchmarking and evaluation tooling
- Quick path from API key to running first devbox



#### Criticized

- Pro plan pricing ($250/month) may be steep for individual developers
- Small community and limited third-party ecosystem maturity
- Early-stage platform with limited public review coverage
- RFT and VPC deployment gated to Enterprise tier




### Company facts

Founded year: 2024
Hq: San Francisco, USA


#### Founders

- Jonathan Wall

Employees range: 11-50
Total funding: $7M
Valuation: Not available
Arr: Not available
Customer count: Not available
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| E2B | 54 | 150 | 36 | 4.7894736842105265 |
| Modal | 48 | 150 | 32 | 6.825688073394495 |
| Daytona | 38 | 150 | 25.333333333333336 | 6.0375 |
| Northflank | 22 | 150 | 14.666666666666666 | 4.303030303030303 |
| Fly.io | 9 | 150 | 6 | 5.916666666666667 |
| Cloudflare | 7 | 150 | 4.666666666666667 | 6.95 |
| Runloop | 3 | 150 | 2 | 10.25 |
| CodeSandbox | 1 | 150 | 0.6666666666666667 | 7 |
| Morph | 0 | 150 | 0 | Not available |
| Together AI | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 3 | 12 |
| perplexity | 0 | 0 |
| google-ai | 0 | 0 |
| bing-copilot-search | 0 | 0 |
| google-ai-mode | 0 | 0 |
| xai-search | 0 | 0 |



## Strengths





## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| 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? | 4 |
| I need a code execution environment that supports GPU workloads for AI-generated training scripts — which sandboxed platforms handle that use case? | 4 |
| I need an AI agent sandbox that allows secure outbound connections to a relational database during execution — which platforms support that? | 4 |
| What sandboxed execution environments have good support for streaming output back to the calling application in real time during an agent's code run? | 4 |
| What are the best isolated runtime options for AI agents that need persistent filesystem state across multiple execution steps in a single session? | 4 |



## Topic scores

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



## Prompt results

- 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 |
| --- | --- |
| E2B | 11 |
| Modal | 17 |
| Daytona | 27 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

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



##### 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 |
| --- | --- |
| Fly.io | 2 |
| Daytona | 9 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

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



##### 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 |
| --- | --- |
| Fly.io | 1 |
| E2B | 4 |
| Daytona | 12 |
| Modal | 15 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 3 |
| Modal | 6 |
| Northflank | 7 |



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 6 |



##### Google-ai-mode

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



##### 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 |
| --- | --- |
| E2B | 1 |
| Modal | 11 |



##### Perplexity





##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 6 |



##### Google-ai-mode

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



##### 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

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



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search

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



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| E2B | 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: 9
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 | 4 |
| Modal | 7 |
| Runloop | 9 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search

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



##### Google-ai-mode

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



##### 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 | 4 |
| Modal | 6 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

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



##### 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: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

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



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Fly.io | 2 |



##### 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 |
| --- | --- |
| Daytona | 1 |
| Modal | 3 |
| E2B | 5 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Daytona | 3 |
| E2B | 5 |
| Modal | 8 |



##### Xai-search




- 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 |
| Fly.io | 3 |
| Daytona | 6 |
| Modal | 10 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| E2B | 5 |



##### 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 |
| --- | --- |
| Northflank | 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 |
| --- | --- |
| E2B | 1 |
| Daytona | 3 |
| Modal | 6 |
| Cloudflare | 9 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 3 |
| E2B | 4 |



##### 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 | 2 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

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



##### 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 |
| --- | --- |
| E2B | 1 |
| Daytona | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 2 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 2 |
| Daytona | 5 |



##### 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

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



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 4 |
| E2B | 5 |



##### Google-ai





##### Bing-copilot-search

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



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 2 |
| Northflank | 4 |



##### 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 |
| --- | --- |
| E2B | 1 |
| Modal | 3 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Fly.io | 1 |
| Modal | 3 |
| E2B | 6 |
| Daytona | 8 |



##### 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: 8
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 | 3 |
| E2B | 7 |
| Runloop | 8 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 6 |



##### Google-ai-mode

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



##### 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





##### Perplexity





##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode





##### 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 |
| --- | --- |
| Daytona | 3 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search

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



##### Google-ai-mode

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



##### 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 | 4 |
| Daytona | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Daytona | 5 |
| Modal | 6 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Fly.io | 3 |
| E2B | 4 |



##### 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 |
| --- | --- |
| Modal | 1 |
| E2B | 2 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search

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



##### Google-ai-mode

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



##### 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 |
| --- | --- |
| Daytona | 1 |
| Modal | 4 |
| Cloudflare | 6 |
| E2B | 10 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search

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



##### Google-ai-mode

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



##### 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 | 4 |
| Daytona | 9 |
| Modal | 11 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

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



##### 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: 14
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 |
| E2B | 4 |
| Modal | 9 |
| Cloudflare | 11 |
| Runloop | 14 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search

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



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 4 |
| Fly.io | 5 |
| Daytona | 6 |
| E2B | 9 |



##### 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: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fly.io | 1 |
| Daytona | 3 |
| Modal | 8 |



##### Perplexity

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



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 3 |
| Northflank | 5 |



##### Google-ai-mode

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



##### Xai-search







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://runloop.ai/ | Runloop - Your AI Agent Accelerator | runloop.ai | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/26c32f6ca7ba4479212c05e66d60412faa9c8a7c.png | commercial | blog_post | 8 | 8 |
| https://runloop.ai/use-case/data-analysis | Use Case | runloop.ai | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/26c32f6ca7ba4479212c05e66d60412faa9c8a7c.png | commercial | blog_post | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| I need an AI agent sandbox that allows secure outbound connections to a relational database during execution — which platforms support that? | google-ai-mode | Runloop\| VM Isolation\| Developer/Agent Workspaces: Designed for software engineering agents that need to spin up shell commands, run migration scripts, or query connected test/staging databases. |
| Which AI sandbox platforms offer the best developer experience for iterating on agent tools locally before deploying to production? | google-ai-mode | Best Code Execution Sandboxes for AI Agents in 2026 - E2BThe 6 Best AI Agent Sandbox Platforms (August 2026): Features, Tradeoffs, and Use Cases 4. Runloop * The Local Dev Experience: Tailored specifically for software-engineering agents and tool execution. |
| 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? | chatgpt-search | Get started: Dynamic Workers guide ## 6. Runloop Devboxes · Repository-aware environments Runloop focuses on sandboxed development environments for coding agents, with reusable templates, repository setup, and fast command execution. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | E2B | ## Best services to evaluate ## 1. E2B Best for quick integration Purpose-built for AI agents, code interpreters, and executing generated code in isolated environments. |
| chatgpt-search | Daytona | Start here: E2B documentation Example: `const sandbox = await Sandbox.create()` ## 2. Daytona A strong option for disposable development environments, with SDKs and a REST API. |
| perplexity | Modal | Modal Sandboxes — A flexible, code-first choice if you want to define the runtime and execute commands directly. |
| bing-copilot-search | Cloudflare | Here are some of the best options for ephemeral, per-user code execution environments with simple SDKs or APIs: ### ⚡ Cloudflare Sandbox SDK * API style: Minimal, developer-friendly JavaScript/TypeScript SDK. |
| google-ai-mode | Northflank | E2B and Northflank provide the simplest, fastest SDKs and APIs to spin up secure, isolated, ephemeral code execution environments per user or agent session. |
| google-ai-mode | E2B | E2B and Northflank provide the simplest, fastest SDKs and APIs to spin up secure, isolated, ephemeral code execution environments per user or agent session. |
| chatgpt-search | Daytona | ## Platforms worth evaluating ## 1. Daytona Strongest direct fit Designed for running AI-generated code in isolated environments, with GPU sandboxes for training and fine-tuning. |
| perplexity | Modal | Modal is the clearest fit in the results: its Sandboxes are designed to execute AI-generated or untrusted code, can reserve GPUs, and support GPU types from T4 and L4 through H100 and H200. |
| bing-copilot-search | Modal | ...bled Sandbox Platforms Platform\| Isolation Model\| GPU Support\| Scale & Performance\| Best Use Case ---\|---\|---\|---\|--- Modal\| gVisor containers with syscall filtering\| Broad GPU catalog (T4, L4, A10, L40S, A100, RTX PRO 6000, H100/H200, B200+)\|... |
| google-ai-mode | E2B | Best Code Execution Sandboxes for AI Agents in 2026 - E2B Comparison of GPU-Capable Sandboxed Platforms Platform\| GPU Support\| Isolation Technology\| Key Strengths for AI Workload... |
| google-ai-mode | Modal | Modal , Northflank , and Daytona are the top sandboxed platforms that support GPU workloads for AI-generated training and execution scripts. |
| chatgpt-search | Daytona | Supports a range of sandbox providers, including E2B, Daytona, Modal, Cloudflare, and others. |



## Trend

Visibility delta: 1.0666666666666664
Avg position delta: 4.25
Citation count delta: 1