Build once. Deploy to every client.
Consultancies and solution builders ship AI to many clients at once — each with different infrastructure, compliance, and perimeter. MachineCraft separates where you design from where you run, so one solution deploys to every environment with zero modification.
- design
- 1 design
- client environment
- Any client environmentcloud · on-prem · air-gapped
- components
- 100+ components
- model integrations
- 22 model integrations
Every client environment is different. Your solution shouldn’t be a rebuild.
One client wants it in their cloud account. The next needs it on-prem behind their firewall. A third runs air-gapped and audits every dependency. Most AI tools couple where you design to where you run — so each engagement turns into a re-architecture, and the compliance work starts over every time.
Design once. Deploy anywhere.
A workflow built in one MachineCraft instance is a portable artifact that runs in another on completely different infrastructure. Your client’s requirements are never a blocker — and never your problem to re-solve.
- Portable artifacts
- Every workflow exports as JSON and runs on completely different infrastructure, unchanged. The design is independent of where it lands.
- Same image, any target
- One container image deploys to public cloud, private cloud, on-prem, or air-gapped — env-var differences only, no per-client re-architecture.
- No phone-home
- The runtime needs no connection back to your design environment. Once it’s in a client’s network, it runs on its own — their perimeter stays intact.
Build the solution once. Bill it many times.
When the design is portable and the governance travels with it, the economics change: the expensive part happens once, and every new client is a deployment, not a project.
One build, every engagement
Design a solution once and stand it up across dozens of client environments — each with its own infrastructure and compliance requirements — without forking the work.
Compliance travels with the workflow
Approval gates (beta) and the audit trail are part of the artifact, not the environment. The governance that satisfied one client’s review board moves with the deployment.
Your platform, not a rebuild
MachineCraft becomes the platform underneath your AI practice — a visual builder with code extensibility, so your team standardizes instead of reinventing per project.
Agent Engine and approval gates are in beta. The Workflow Engine, deploy-anywhere, and audit trail ship today. See how the platform works
Make MachineCraft the platform under your AI practice.
Talk to our team about deploying across your client base, or join the private beta to start building.