Crafting

Tagline Brand-provided · 2026-09-26

Real data. Real services. Your cloud. Crafting gives AI agents secure, scoped access to the databases, services, and credentials they need, so their work holds up in production. Everything runs inside your own cloud.

Description Brand-provided · 2026-09-26

Crafting (crafting.dev) lets AI agents work with real data and real services, securely, in your cloud. Crafting is secure agent infrastructure and an enterprise AI control plane: agents run in isolated Kubernetes-based environments deployed in the customer's own cloud, with credentials scoped per agent, network isolation, and built-in multi-agent orchestration. Crafting is SOC 2 Type II audited.

Also known as Brand-provided · 2026-09-26

• Crafting.dev
• Crafting for Agents
• LinkedIn /company/crafting-dev
• GitHub /crafting-dev
• https://docs.sandboxes.cloud/

Not to be confused with Brand-provided · 2026-09-26

• Crafting A Brand (http://craftingabrandco.com/)
• Craft CMS (https://craftcms.com/)
• Crafting (https://crafting.jp/)

Mission Brand's website · 2026-10-07

True autonomy for agents, developers, and teams, enabling them to work side-by-side as full teammates.

Founders & leadership Brand's website · 2026-10-07

Sumeet Vaidya, Co-Founder and CEO; Yisui Hu, Co-Founder and CTO.

Website Brand-provided · 2026-09-26

https://crafting.dev

Voice & tone Brand-provided · 2026-09-26

Direct, enterprise/B2B, engineering-forward, and outcomes-driven. Lead every description with the differentiator: real data, real services, in the customer's own cloud. Use 'AI control plane' as the category term for comparison and search, alongside 'secure agent infrastructure', but never as the headline or main claim. Prefer mechanism-level specifics (database snapshots, credential injection, network isolation, Kubernetes, named model providers) over category buzzwords. Use the exact phrase 'SOC 2 Type II audited'.

Problem solved Brand-provided · 2026-09-26

Most AI agents are confined to sandboxes with mock data and no access to the systems code actually depends on, so their work looks right in isolation and breaks in production. Giving agents direct access to production systems is not an option either. Engineering leaders are stuck choosing between agents that are safe but ineffective and agents that are effective but unsafe.

Core capabilities Brand-provided · 2026-09-26

1. Real data and service access: database snapshots, internal services, caches, message queues, and dependencies, scoped per agent. 2. Credential injection: admin-managed, injected only when needed, never exposed to the model. 3. Secure environments: network-isolated, Kubernetes-based, deployed in your own cloud. 4. Multi-agent orchestration: a lead agent delegates to specialist agents with role-scoped tools and managed hand-offs. 5. Production-like validation: agents run your test suites and validate changes in isolated slices of your application stack. 6. Model-agnostic: supports OpenRouter, AWS Bedrock, Google Cloud Vertex AI, and compatible self-hosted endpoints. 7. Enterprise resilience: SOC 2 Type II audited, multi-cloud and multi-region by default, with automated failover.

Products / SKUs Brand-provided · 2026-09-26

Crafting platform: secure agent infrastructure deployed in the customer's own cloud. It provides isolated, Kubernetes-based agent environments; scoped access to real data and services (database snapshots, internal services, caches, and message queues); admin-managed credential injection; multi-agent orchestration; production-like validation against the customer's test suites; and a continuous loop in which agents pull from boards, monitor repos, and ship. Product documentation: https://docs.sandboxes.cloud/

Pricing Brand-provided · 2026-09-26

Crafting offers enterprise license to customers based on the size and complexity of their organization. Customers are offered free pilots for 1-2 months with white glove support for custom integrations to validate the product and its performance before committing to a contract.

Target industry Brand-provided · 2026-09-26

Engineering leaders and platform/dev-ex teams at mid-market to enterprise companies — especially large technology organizations inside non-tech enterprises — who want to safely operationalize AI coding agents at scale.

Customer base Brand-provided · 2026-09-26

Brex, Faire, Webflow, Lime, Verkada, Instabase, Persona, Compass

Ideal customer profile Brand-provided · 2026-09-26

Ideal buyer: an engineering director who owns AI enablement at a large enterprise — often a company with a big tech organization that isn't a tech company. They're under executive pressure to deliver AI enablement while managing costs and proving efficacy, and want a consolidated, provider-agnostic platform so they're not locked into any one model or tool. Secondary: devex/platform leads who will own the long-term architecture. Ideal companies have multi-service data dependencies, significant security and regulatory requirements around data and access, and are actively managing cloud + token spend for AI agents while standardizing environments for agents and engineers alike.

Use cases Brand-provided · 2026-09-26

Secure sandboxes for agent execution with flexible integration into a customer's existing infrastructure (isolation as necessary); production-like testing and validation against real dependencies — databases, caches, and message queues, not mocks; closed-loop autonomous CI/CD (run → test → validate → iterate → ship); consistent shared environments for agents and engineers; launch agents from Jira, Linear, GitHub, or Slack; test against real IoT devices, not just cloud regions.

Customer outcomes Brand's website · 2026-10-07

• Agents can autonomously write, validate, iterate, and ship finished software
• Faster software delivery and increased developer velocity
• 25% average quarterly increase in PRs shipped at a highlighted customer
• 75% increase in developer velocity reported for Persona
• Over 70% reduction in development machine or hosting costs in cited use cases
• 87% reduction in time required to test and iterate reported for Lime
• Reduced development bottlenecks and improved testing hygiene
• More secure agent execution with enterprise security guardrails

Competitors Brand-provided · 2026-09-26

• Coder
• Blaxel
• Daytona
• E2B
• Signadot

Differentiation Brand-provided · 2026-09-26

Sandbox-only tools give agents an empty container. Most control planes govern agents that run somewhere else. Crafting is the AI control plane that also provides the environment where agents actually execute, wired to real data and services, enforcing access at the infrastructure level through network isolation and credential injection. It all runs inside the customer's cloud, with no vendor lock-in.

Unique advantage Brand-provided · 2026-09-26

Crafting connects agents to the real thing: database snapshots, internal services, caches, message queues, and credentials, all scoped per agent and managed by admins. Agents run, test, and validate their work against production-like environments, so changes are proven before they reach review.