Cloud migration is manual, slow, and rigged toward lock-in.

So teams either pay consultants for months, or accept whichever cloud the tool was built to sell.

Exported inventory → deployable IaC, plus an unbiased cloud recommendation.

• Secure by design. Works entirely from exported files — never connects to the customer environment. Runs offline, no keys.
• Not "an LLM writes Terraform." A deterministic engine: AI makes only structured decisions; templates emit the .tf; a validation layer re-checks everything — and the plan always records honestly which engine actually ran.
• Reproducible & auditable. Output is provider-validated HCL — proven in CI, not a demo. Every decision carries a reason and a confidence score.
• Days of engineering → minutes. Upload, assess, recommend, generate, download a ready-to-apply project.

One deterministic pipeline. Two swappable registries.

The AI is optional and behind an interface — it defaults to a deterministic rule engine, so it runs offline with zero keys and is fully reproducible. Toggle it on per-run from the CLI, the API, or the web UI; an AI-written executive summary follows automatically when it does.

The whole migration — assess, recommend, plan, govern, ship.

Source-agnostic. Cloud-neutral. Unbiased.

A vendor's own tool will never emit portable IaC or send a customer to a competitor. That structural conflict is our moat.

The product is built — and the output actually validates.

• Generated Terraform passes real tofu validate against the actual AWS, azurerm, and google providers — enforced continuously in CI.
• Shipping today: a CLI, a hardened FastAPI service (sync + async jobs + audit + bearer-token auth + Prometheus metrics), and a Next.js web app — plus assessment, confidence, executive reports, diagrams, infra diff, a policy engine, an Infrastructure-Graph IR, load-balancer topology, managed-DB re-platforming advice, migration wave planning, a persistent SQLite project store, and six IaC formats (Terraform, Pulumi, CloudFormation, Bicep, CDK, Kubernetes).
• Engineered like a platform: 32 architecture decision records, deterministic + offline + reproducible, non-root Docker, streamed upload caps.

Same estate, four clouds — cost swung 31%.

From our 7-VM sample estate — full monthly cost: compute, block storage, Windows licensing and load balancers, at on-demand list price with no committed-use discount assumed. The recommender scores every cloud on cost, sizing fit and OS affinity with published weights — an inspectable number, not a black box. DigitalOcean prices lower still and is excluded: it publishes no Windows image, so it cannot host part of this estate, and a cloud that can't run the workload isn't a cheaper option. On a real 5,000-VM estate that swing is life-changing money — and we surface it before a single resource is provisioned.

Every enterprise is mid-migration — and multi-cloud is the default.

Almost everyone has started; almost nobody has finished. That gap — 86% moving, 4% done — is the market, and it is measured in estates that still need translating. Gartner puts 2026 public-cloud end-user spend at $850B, up 21% year over year: that is where these workloads are landing, not our addressable slice of it.

Sold to the people who run migrations for a living.

Platform shipped. The next slices make it enterprise-operable.

The runtime seams for scale — jobs, events, audit, a store behind one interface — already exist, and a SQLite-backed store + bearer auth are shipped stopgaps proven with a live kill-and-restart. v2.1/v2.3 swap them for Postgres · Redis · object storage · OIDC without an API rewrite.

Let's translate the enterprise to the cloud — on the customer's terms.

See it live: the product, the code, and the full documentation are ready to demo today — read the docs · code on request.