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The Prototype stage — importing or generating a first demo, scoping it, and getting a proposed tech stack — is offered free before any credits need to be purchased.
Learn moreTurns vibe-coded demos into production-grade AI apps without hiring engineers.

Hal9 converts vibe-coded prototypes and raw ideas into production-ready AI apps and agents using a combination of AI agents and human experts, with a free demo stage and credit-based pricing for building, running, and scaling.
Hal9 is a platform-plus-services offering that helps startup founders convert AI prototypes — the kind built quickly with tools like Lovable or Bolt — into production-ready applications and agents. Rather than positioning itself as another no-code builder, Hal9 sits one layer downstream: it takes an existing demo, or a raw idea, and carries it through scoping, technology selection, coding, deployment, and ongoing scaling, using a mix of AI agents and human AI experts. The tool targets non-technical or resource-constrained founders who have validated an idea but are not ready to hire a full engineering team. Its stated pain points are specific: prototypes that break under real traffic, mounting technical debt, unpredictable cloud and token spend, and security or compliance concerns that surface once a demo needs to become a real product. Hal9 frames itself as the bridge between an easy AI demo and a hard-to-build AI product. In practice, the workflow runs in three stages. Prototype is free — founders either import an existing vibe-coded demo or have Hal9's AI generate one from a prompt, with scope narrowed into clear build stages and a proposed technology stack. Launch consumes purchased credits, which pay for AI agents or human experts writing Python code, plus the compute, storage, and LLM tokens needed to run the product; Hal9 states it supports all major model providers, including OpenAI and Anthropic, with token management and auditing built in. Iterate covers ongoing scaling, funded through additional credits or enrollment in a plan as usage and revenue grow. Each product runs in its own isolated Kubernetes pod, which Hal9 presents as its answer to privacy and security for production workloads, and the platform can run in any cloud or on a customer's own data centers. Hal9 is built by a team with backgrounds spanning Microsoft, RStudio, Microsoft Research, and robotics deployments for companies like Coca-Cola and Cisco, and the company cites support from startup programs at AI2, Nvidia, Google, AWS, and Microsoft. Case studies referenced include an AI legal-research chatbot and automated financial and carbon-audit reporting agents, positioning Hal9 closer to a build-and-scale service than a self-serve app builder.
The Prototype stage — importing or generating a first demo, scoping it, and getting a proposed tech stack — is offered free before any credits need to be purchased.
Learn moreHal9 uses credit-based pricing: the initial prototype/demo stage is free, and credits are purchased to fund AI-agent or expert-driven development plus the compute, storage, and LLM tokens needed to run the product. Ongoing scaling can be funded with more credits or through a plan; no specific credit costs or plan prices are published on the homepage.
Learn moreFounders can talk directly with the Hal9 team to start a project or scale one; the company emphasizes hands-on involvement from its AI experts rather than self-serve documentation or ticketing.
Hal9 states support for all major LLM providers, including OpenAI and Anthropic, with built-in token management and auditing. No other third-party integrations are listed on the homepage.
Free demo prototyping from a prompt or an imported vibe-coded app, credit-funded builds using AI agents or human experts writing Python, model-agnostic LLM support with token management and auditing, and per-product isolated Kubernetes deployment for privacy and security.