Coding agents write code. They don't turn your business knowledge into direction, priorities, and shipped product. Hyperplane does. Every consequential action is metered, human-gated, and PII-governed, and the result is an asset you own.
Built in Canada · Slack-native · Your data stays inside governance
Organize the messy data. Decide what to do at this stage of the company. Produce a deliverable someone can validate, like a BI report, a pitch deck, or a formation checklist. Enterprises buy this as consulting. Small teams can't, and self-serve tools hand them a chatbot instead of an outcome.
Double-fired side effects. Data leaking across clients. No human checkpoint before a consequential action. Most agentic-AI pilots get cancelled for exactly these reasons. The models are capable. The delivery mechanism is broken.
This is a full-company control plane, not another coding tool. It carries your knowledge across the gap from business to spec, and it extends itself.
Compiles your business problem into a legible checklist, then runs it as governed agent workflows. Human-in-the-loop gates, per-step metering, pause and resume, and validated artifacts at the end. One engine, many verticals, many tenants.
Event-sourced organizational memory that gives agents cited, auditable context. Nothing an LLM produces becomes authoritative until a human promotes it, so your company's knowledge compounds across engagements without leaking between clients.
An autonomous coding harness. A Slack request becomes an agent-authored pull request, a human approves it, and it merges. Nothing reaches production without that human. It ships the platform's own features, so delivery capacity grows without new headcount.
Every control below is enforced inside the execution engine. That is what makes agent delivery something a business can actually trust.
Retries, resumes, and escalations never fire a side effect twice. No duplicate sends, no double transactions.
Approval gates are inserted before any high-risk or external action. No consequential step runs without sign-off.
Every outbound send is tiered, masked, and logged with per-send audit rows. Data protection stays a platform invariant.
Per-tenant RBAC ceilings. A composed automation can never escalate its own privilege.
Per-tenant data isolation with refusal semantics. The engine refuses to run when tenancy is unresolved.
Killswitch, circuit breakers, metering, and pricing controls. The operator can always stop, bound, and account for agent activity.
No new tool to learn. Bring the agent into the threads where decisions already happen, where it works in the open alongside your team.
Business context accrues to governed memory and compiles into a legible, stage-aware checklist. Every ambiguity becomes an explicit question rather than a silent guess.
Each step is metered, pausable, and replayable. Consequential actions wait for your approval. Outputs are checked against human-curated quality bars before they ship.
Every engagement ends in a deterministic, governed, testable asset your team owns. Deploy it in your own environment or host it with us. It is not a subscription to a black box.
Four vertical modules ship today. The platform is built so each new vertical gets cheaper to add than the last.
From messy data to a warehouse-backed, visualized report your team can act on.
Investor-ready decks grounded in your company's real, confirmed memory.
Company-formation checklists with guardrails built in, stage by stage.
Raise preparation as a governed workflow, with artifacts validated before they leave the building.
If you run an early-stage startup or small business with real work that should be AI-delivered, whether that's BI, pitch, formation, or fundraising, we'll build it with you and govern it end to end.