HyperCloud · Product Definition
Every software project gets its own governed AI engineering system in the cloud.
An isolated cloud computer running the real Forge engine — one that researches, builds, and cross-reviews the work through workflows it cannot skip.
The status quo: AI dev tools center on the model — autocomplete, answer, edit, attempt a task. The engineering discipline around it (research, planning, testing, review, permissions, memory, audit) still falls on the user. HyperCloud makes that surrounding system the product.
The models are replaceable workers. Forge is the management system. A Space is the secure workplace.
We don't sell smarter prompts. We sell an engineering process that refuses to skip its own rules.
The defensible core (the moat)
Not the chat UI, not GCP hosting, not BYOK, not any single model — all replaceable. The moat is the governed execution layer: the real Forge engine + enforced workflows + mandatory cross-model review + an authority boundary that keeps keys and permissions outside the AI + per-project isolation, all working as one.
Competitors ship chat + code generation. None ship an enforceable state-machine engineering OS with cryptographic isolation that still runs the full governance spine on every action.
The nine parts (one product, not seven)
Spacesthe primitive
An isolated Forge computer for one project on GCP — persistent context, dedicated execution, separated from every other tenant.
Conductor
Your Space's real Forge agent. Direct work, inspect progress, approve sensitive actions — not a separate chatbot.
Labgoverned research
The Space's research state machine: strategy → investigation → evidence → verdict, before conclusions become durable.
Factorygoverned build
The Space's sprint machine: plan → design → build → test → review → audit — never prompt-straight-to-unchecked-code.
Cross-model governance
Grok, Codex, Gemini, Gemma review at defined gates — different model families, attributable evidence. Reduces blind spots (doesn't guarantee correctness).
Inference
Hypernym-hosted Gemma/Modulum, plus frontier models via your own key (BYOK) — model choice without keys entering the Space.
Memory
Decisions, artifacts, and history stay attached to the Space — and you can see where the agent's context came from.
Capsules
Signed, read-only bundles to move approved knowledge between projects — sharing, not shared writable storage.
How it works
- HyperCloud creates a Space on GCP — isolated compute + durable project state in your tenancy. Unlimited logical Spaces; active compute stays quota-bounded.
- The Space boots a signed, customer-safe Forge release — the engine, CLI, approved skills, and state machines; none of the operator's private data or credentials.
- You direct it through Conductor or the API. Lab and Factory are workflows of this same engine — not disconnected backends.
- The agent proposes; it does not possess authority. Edits, model calls, transitions, and deploys are requests.
- An external broker authenticates you, checks policy + budget, and issues a short-lived capability for exactly the approved action. Your keys never enter the Space's VM.
- The genuine Forge engine enforces the gates — required artifacts, tests, and reviews must exist before a transition succeeds. The agent cannot prompt its way past a rejected gate.
- Independent models review at defined stages; their findings + provenance become part of the audit record.
- Spaces stay separated — outputs move only through signed, read-only Capsules.
Why it's better
Today's HyperCloud
- A Conductor chatbot + Lab/Factory screens that don't run the real Forge engine.
- Three disconnected ideas that look like a product.
The target: one coherent Space
- Conductor speaks to its real agent; Lab is its real research machine; Factory its real build machine; Memory belongs to it; Inference serves it.
- Request, workflow, artifact, review, and audit all belong to one governed project computer.
Cursor / Copilot / Devin
- Optimize how fast a model edits or executes against a codebase.
- Disciplined process, independent review, and authority control stay optional or external.
HyperCloud
- The workflow is enforced, not suggested. Review comes from different model families, not the authoring model.
- Every project has a persistent isolated runtime; the agent never owns the keys or final authority; research + build + memory + review are one system with a durable audit trail.
Generic AI tools help a model perform tasks. HyperCloud operates the governed environment in which AI engineering happens.
It isn't an AI that writes code. It's an AI that engineers software.
Honest bounds: HyperCloud mechanically limits authority and blast radius — it does not promise perfect safety, deterministic correctness, or unconstrained autonomy. Today's Conductor/Lab/Factory are still being connected to the real engine (the Spaces build); this defines the converged target.