# Modal AI visibility in AI Code Sandboxes & Agent Runtimes

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

[Website](https://modal.com/)

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: 1
Total brands: 10
Measured responses: 150
Presence percent: 36.666666666666664
Share of voice percent: 35.01577287066246
Average position: 4.288288288288288
Docs presence percent: 11.333333333333332
Blog presence percent: 2
Brand mention percent: 68.66666666666667


## Profile

Overview: Modal (modal.com) is a New York-based AI infrastructure company founded in 2021 by Erik Bernhardsson and Akshat Bubna. The platform provides a serverless, code-first compute environment enabling developers and ML teams to run inference, training, batch workloads, and secure code sandboxes on elastic GPU and CPU infrastructure. Modal's custom Rust-based container runtime achieves sub-second cold starts, and its Python-native decorator API eliminates the need for YAML, Dockerfiles, or manual infrastructure management. The platform supports multi-cloud GPU capacity across AWS, GCP, and Oracle Cloud, with automatic scale-to-zero billing. Products span LLM inference, model fine-tuning, Sandboxes for AI agent code execution, batch processing, and collaborative Notebooks. Modal is SOC 2 compliant and HIPAA compatible. Customers include Lovable, Substack, Scale AI, Cognition, and Ramp. Modal raised an $87M Series B in 2025 at a $1.1B valuation.
Product summary: Modal is a serverless AI infrastructure platform that lets developers run GPU-accelerated Python workloads in the cloud using simple function decorators — no infrastructure configuration required. Its product suite covers LLM inference, model fine-tuning, secure code Sandboxes for AI agents, large-scale batch processing, and collaborative GPU Notebooks, all built on a proprietary container runtime engineered for sub-second startup times and instant autoscaling.


### Key capabilities

- Sub-second container cold starts via custom Rust-based container runtime
- Python-native decorator API — no YAML or config files required
- Elastic GPU autoscaling from zero to thousands of GPUs across AWS, GCP, and Oracle Cloud
- Secure, ephemeral Sandboxes for running AI-generated or untrusted code at 50,000+ concurrent sessions
- Serverless LLM inference and fine-tuning on single or multi-node GPU clusters
- Batch processing at scale — thousands of containers on-demand
- Collaborative GPU-backed Notebooks with memory snapshotting
- Integrated distributed storage (Volumes, Buckets, Dicts, Queues)
- Unified observability with real-time metrics, logs, and per-function visibility
- SOC 2 compliance and HIPAA compatibility with RBAC, SSO, and audit logs



### Target users

- Machine learning engineers building and deploying AI models
- AI research teams running training, fine-tuning, and evaluation workloads
- AI-native product startups with spiky or unpredictable GPU demand
- Platform and infrastructure engineers building agent execution environments
- Independent developers and indie hackers prototyping AI applications
- Data scientists running large-scale batch processing or computational science workloads



### Key use cases

- AI agent code execution in secure, isolated sandboxes
- LLM inference deployment and autoscaling for production applications
- Model fine-tuning and RL training on distributed GPU clusters
- Large-scale batch workloads (transcription, protein folding, media processing)
- Rapid ML prototyping and experimentation without infrastructure setup
- AI-powered application backends requiring spiky or unpredictable GPU demand
- Reinforcement learning environment hosting for coding agents
- Computational biology and scientific simulation workloads

Integrations ecosystem: Modal provides first-party SDKs for Python (modal-client), TypeScript/JavaScript, and Go (libmodal). Cloud integrations include AWS Marketplace (allowing enterprise customers to apply existing AWS committed spend), GCP Marketplace, and Oracle Cloud Infrastructure for GPU capacity. Storage integrations include S3 and GCS bucket mounting. The platform integrates with MLOps and telemetry vendors, and customers have documented use of Snowflake as a data source. Modal supports LangGraph/LangChain agent workflows, ComfyUI for image generation pipelines, and SGLang for LLM serving. An active Slack community and GitHub organization (modal-labs) with 76+ repositories support the developer ecosystem.
Pricing summary: Modal uses consumption-based, per-second billing with no charges for idle resources. GPU pricing ranges from $0.000164/sec (NVIDIA T4) to $0.001736/sec (NVIDIA B200), with CPU at $0.0000131/core/sec and memory at $0.00000222/GiB/sec. Three plan tiers exist: Starter ($0 platform fee + $30/month free compute credits, up to 3 seats, 100 containers, 10 GPU concurrency), Team ($250/month + $100/month free credits, unlimited seats, 1,000 containers, 50 GPU concurrency, custom domains, static IP), and Enterprise (custom pricing with volume discounts, higher concurrency, embedded ML engineering services, HIPAA, SSO, and audit logs). Sandbox and Notebook compute is billed separately at higher per-second CPU/memory rates. AWS and GCP Marketplace transacting is available for enterprise committed spend. Credit grant programs offer up to $25K for startups and $10K for academic researchers.
Review summary: Modal has strong organic developer sentiment expressed through social media and testimonials, with engineers from Hugging Face, Tesla, Harvey, LanceDB, and The Linux Foundation publicly praising its developer experience, documentation, and near-zero cold start times. Formal review platform coverage is limited: G2 lists Modal Labs as a seller but explicitly notes insufficient verified reviews to generate insight scores. Third-party analysis notes developers consistently praise ease of onboarding, Python-native simplicity, and GPU scalability, while critics highlight the lack of multi-service orchestration, absence of CI/CD features, potential vendor lock-in, and the difficulty of cost prediction at scale.
Competitive positioning: Modal positions itself as an AI-native serverless infrastructure platform differentiated by its pure Python decorator-based API (no YAML or config files), sub-second container cold starts powered by a custom Rust-based runtime, and elastic multi-cloud GPU scaling from zero to thousands of GPUs. Unlike hyperscaler solutions (AWS SageMaker, GCP Vertex) and bare GPU rental platforms (RunPod, Lambda Labs), Modal bundles compute, storage, networking, observability, and sandboxing into a unified code-first experience. Its Sandboxes product competes directly with E2B and Morph Labs in the AI agent runtime segment, while its inference and training products overlap with Together AI and Fly.io. Modal differentiates on developer experience, reliability at scale (demonstrated by Lovable's 20,000 concurrent sandboxes), and a vertically-integrated custom infrastructure stack built specifically for AI workloads.
Limitations: Modal is Python-centric by design, creating architectural lock-in through its decorator-based function wrapping (though JS/TS and Go SDKs exist via libmodal). The platform does not support self-hosted or VPC deployment, meaning all workloads run on Modal's managed multi-cloud infrastructure with no option for bring-your-own-cloud. There is no native CI/CD integration, Git-triggered deployments, or preview environment support. Modal is not designed for orchestrating multiple interdependent services (APIs, databases, frontends), limiting its applicability as a full-stack application platform. For longer-running or high-frequency GPU jobs, costs can escalate and the cost prediction tooling is limited. The Starter plan caps concurrency at 10 GPUs and 100 containers, which may constrain early production workloads. Region selection is available but carries a 1.25–2.5x price multiplier.


### Source urls

- https://modal.com/
- https://modal.com/pricing
- https://modal.com/products/sandboxes
- https://modal.com/blog/lovable-case-study
- https://modal.com/blog/substack-case-study
- https://modal.com/blog/announcing-our-series-b
- https://github.com/modal-labs
- https://techcrunch.com/2026/02/11/ai-inference-startup-modal-labs-in-talks-to-raise-at-2-5b-valuation-sources-say/
- https://www.builtinnyc.com/articles/modal-raises-87m-series-b-1b-valuation-20251001
- https://sacra.com/c/modal-labs/
- https://techcrunch.com/2023/10/10/modal-labs-lands-16m-to-abstract-away-big-data-workload-infrastructure/
- https://northflank.com/blog/6-best-modal-alternatives
- https://tracxn.com/d/companies/modal/__tHK2ShUcB0Q1o6j-hbJ-xcZMxDsw0P3kCJ85veVeYjU
- https://techfundingnews.com/modal-scores-87m-series-b-joins-europes-unicorn-club-with-1-1b-valuation/

Reviewed at: 2026-04-28T23:38:22.507+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Lovable | Lovable migrated its AI code sandbox infrastructure to Modal ahead of a major promotional event with Anthropic, OpenAI, and Google. Modal handled a 2.5–3x surge in concurrent sessions, enabling 250,000 app creations in 48 hours with no on-call pages for the platform team. | 1,000,000+ sandboxes run; peak 20,000 concurrent sandboxes in one weekend |
| Substack | Substack migrated its AI and ML training and inference pipelines from AWS SageMaker to Modal, eliminating 5+ minute container spin-up times and enabling parallel transcription workloads and rapid model iteration. | Container startup reduced from 5+ minutes to seconds |
| Lovable | Lovable reduced its sandbox orchestration codebase from 15,000 lines with its previous provider to just 700 lines after migrating to Modal, driven by Modal's rich networking primitives like Tunnels. | 95% reduction in sandbox orchestration code (15,000 → 700 lines) |
| Scale AI | Scale AI uses Modal to run edge inference and large-scale batch jobs, achieving very low inference overhead suitable for production AI applications. | <10ms inference overhead |



### Reviews breakdown





### Review themes



#### Praised

- Sub-second cold starts vs. AWS Lambda and SageMaker
- Python-native developer experience — just decorators
- Excellent documentation and examples
- Fast onboarding with generous free tier ($30/month credits)
- Elastic GPU scaling without quota management
- Feels like local development but runs in the cloud
- Reliable at massive concurrent scale



#### Criticized

- No native CI/CD or Git-triggered deployments
- Not suited for multi-service application orchestration
- No self-hosted or bring-your-own-cloud option
- Costs can rise unpredictably for longer or frequent GPU jobs
- Limited granular cost dashboarding for budget forecasting
- Vendor lock-in due to decorator-based architecture
- Starter plan concurrency limits constrain early production use




### Company facts

Founded year: 2021
Hq: New York, USA


#### Founders

- Erik Bernhardsson
- Akshat Bubna

Employees range: 100-200
Total funding: $111M
Valuation: $1.1B (Series B, Oct 2025); ~$2.5B repor
Arr: ~$50M
Customer count: Not available
Status: Private


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 | 13 | 52 |
| perplexity | 12 | 48 |
| google-ai | 13 | 52 |
| bing-copilot-search | 3 | 12 |
| google-ai-mode | 14 | 56.00000000000001 |
| xai-search | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| What sandboxed execution environments have good support for streaming output back to the calling application in real time during an agent's code run? | 1 | 1 |
| Which microVM-based sandbox platforms have the smoothest onboarding for a solo developer shipping an AI coding assistant MVP? | 1 | 1 |
| What are the best code execution sandbox options that support pre-installing custom dependencies from a private package registry before agent runs? | 2 | 1 |
| I need an AI agent sandbox that allows secure outbound connections to a relational database during execution — which platforms support that? | 5 | 1.2 |
| What sandboxed agent runtime platforms are best suited for production workloads executing user-submitted code thousands of times per day? | 2 | 1.5 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which agent compute platforms avoid heavy lock-in and work across major cloud providers so I can keep data residency in my existing infrastructure? | 3 |
| Which agent runtime platforms support spawning concurrent sandbox instances so multiple AI agents can run code in parallel for a multi-agent workflow? | 3 |
| 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? | 2 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 4 |
| Developer Experience | 5 | 5 |
| Integrations & Ecosystem | 5 | 4 |
| Performance & Reliability | 5 | 5 |
| Setup & First Run | 5 | 5 |



## 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: 6
Perplexity: 2
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 1
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: 1
Google-ai: 2
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: 4
Perplexity: Not available
Google-ai: 1
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: 1
Google-ai: 2
Bing-copilot-search: 2
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: 3
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 2
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: 1
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: 4
Perplexity: 7
Google-ai: 8
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: 5
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 |
| --- | --- |
| 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: 1
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: 6
Perplexity: Not available
Google-ai: 2
Bing-copilot-search: Not available
Google-ai-mode: 1
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: 15
Bing-copilot-search: Not available
Google-ai-mode: 1
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: 1
Bing-copilot-search: Not available
Google-ai-mode: 2
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: 3
Perplexity: 7
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: 3
Perplexity: 4
Google-ai: 2
Bing-copilot-search: Not available
Google-ai-mode: 3
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: 2
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: 1
Bing-copilot-search: Not available
Google-ai-mode: 1
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: 1
Perplexity: 1
Google-ai: 1
Bing-copilot-search: 2
Google-ai-mode: 1
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: 5
Perplexity: 10
Google-ai: 1
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: 3
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 |
| --- | --- |
| 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: 3
Google-ai: Not available
Bing-copilot-search: 1
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: 2
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: 1
Perplexity: 6
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 3
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: 4
Perplexity: 3
Google-ai: 1
Bing-copilot-search: Not available
Google-ai-mode: 1
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://modal.com/resources/best-code-execution-sandboxes-ai-agents | Best Code Execution Sandboxes for AI Agents in 2026 \| Modal Blog | modal.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/6fa7751a0bd47ddc7a82ddbfdcfc8ed34c601aef.png | commercial | blog_post | 77 | 77 |
| https://modal.com/resources/best-code-execution-sandboxes-tool-calling-ai-agents | Best Code Execution Sandboxes for Tool-Calling AI Agents in 2026 \| Modal Blog | modal.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/6fa7751a0bd47ddc7a82ddbfdcfc8ed34c601aef.png | commercial | blog_post | 37 | 37 |
| https://modal.com/resources/best-serverless-sandboxes-ai-code-execution | Best Serverless Sandboxes for AI Code Execution in 2026 \| Modal Blog | modal.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/6fa7751a0bd47ddc7a82ddbfdcfc8ed34c601aef.png | commercial | documentation | 26 | 26 |
| https://modal.com/blog/top-code-agent-sandbox-products | Top AI Code Sandbox Products in 2025 | modal.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/6fa7751a0bd47ddc7a82ddbfdcfc8ed34c601aef.png | commercial | blog_post | 19 | 19 |
| https://modal.com/resources/best-gpu-enabled-sandboxes-ai-agents | Best GPU-Enabled Sandboxes for AI Agents in 2026 \| Modal Blog | modal.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/6fa7751a0bd47ddc7a82ddbfdcfc8ed34c601aef.png | commercial | blog_post | 19 | 19 |
| https://modal.com/resources/best-microvm-sandboxes-ai-code-execution | Best microVM Sandboxes for AI Code Execution in 2026 \| Modal Blog | modal.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/6fa7751a0bd47ddc7a82ddbfdcfc8ed34c601aef.png | commercial | blog_post | 16 | 16 |
| https://modal.com/products/sandboxes | Products - Sandboxes \| Modal | modal.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/6fa7751a0bd47ddc7a82ddbfdcfc8ed34c601aef.png | commercial | documentation | 15 | 15 |
| https://modal.com/resources/best-code-execution-sandboxes-ai-sql-database-agents | Best Code Execution Sandboxes for AI SQL and Database Agents in 2026 \| Modal Blog | modal.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/6fa7751a0bd47ddc7a82ddbfdcfc8ed34c601aef.png | commercial | comparison | 13 | 13 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What do platform engineers typically use to manage ephemeral execution environments for AI agents — and which options have the least operational burden? | perplexity | ...or hardened container; “managed” describes the operating model, not the isolation mechanism [1]. - Examples include E2B, Modal, Daytona, Vercel Sandbox, Cloudflare, and similar services [2]. - Best default when you want fast adoption and do not ne... |
| 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? | perplexity | ...and run a command \| Firecracker-based isolated microVM \| Agent coding, terminal access, and code interpreter workflows \| \| Modal \| Install the SDK, authenticate, define a sandbox/function, and invoke it \| gVisor-isolated containers \| Serverless execu... |
| What are the best isolated runtime options for AI agents that need persistent filesystem state across multiple execution steps in a single session? | perplexity | ...shots \| Containers by default; stronger VM/Kata options available \| Default container isolation shares the host kernel \| \| Modal Sandboxes \| Flexible serverless execution and snapshot-based workflows \| Filesystem, directory, and optional memory snaps... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | E2B | ...Kubernetes, AWS/GCP/Azure/on-prem \| Excellent — your cluster \| Lowest \| Maximum infrastructure portability \| \| E2B \| Very good — cloud or BYOC \| Very good — workloads can stay in your VPC \| Low–moderate \| Agent sandboxes/code exe... |
| perplexity | Northflank | [2] \| \| Northflank \| Useful if you want a developer platform around portable Kubernetes workloads. |
| google-ai-mode | Daytona | Daytona +1 The leading sandbox services with robust, built-in observability features include: 1. Daytona * Observability Approach: Offers native, first-class OpenTelemetry support covering both SDK tracing (tracking API... |
| chatgpt-search | Daytona | Platforms that support multiple isolated sandboxes running concurrently include: * Daytona — explicitly supports fleet scaling, snapshot fan-out, forks, and linked sandboxes, making one-sandbox-per-agent workflows straightforward. |
| google-ai | Northflank | Northflank * Modal: A serverless platform that lets you run containerized Python functions on-demand. |
| google-ai-mode | E2B | E2B +1 * * * 1. E2B (EnviroBox) * How it works: Purpose-built for secure, programmatic code execution (heavily used for AI code interpreters and tool-running agents). |
| chatgpt-search | E2B | \| Isolation \| Agent fit \| \| --- \| --- \| --- \| --- \| --- \| \| E2B \| <60 ms from a warm template \| Yes \| Firecracker microVM \| ⭐⭐⭐⭐⭐ \| \| Daytona \| <90 ms \| Yes \| Dedicated kernel / container, VM options \| ⭐⭐⭐⭐⭐ \| \| *... |
| chatgpt-search | Daytona | ...\| --- \| --- \| --- \| --- \| \| E2B \| <60 ms from a warm template \| Yes \| Firecracker microVM \| ⭐⭐⭐⭐⭐ \| \| Daytona \| <90 ms \| Yes \| Dedicated kernel / container, VM options \| ⭐⭐⭐⭐⭐ \| \| Vercel Sandbox \| Usually seconds \|... |
| perplexity | Daytona | ## Short answer Fastest to first isolated execution: Daytona and E2B. Both have hosted APIs, SDK quickstarts, and prebuilt environments, so a basic proof of concept should fit comfortably within five minutes if you already have an API key and billin... |



## Trend

Visibility delta: 4.799999999999997
Avg position delta: 0.385062481836675
Citation count delta: 18