Equira
Multi-tenant AI workspace — sovereign agent orchestration with tenant isolation, phase gates, and evidence-first workflows.
Eliminated cross-tenant data exposure risk by design — enterprises get isolated AI workspaces with verifiable provenance on every workflow output.

Problem
Multi-tenant AI platforms routinely share context across boundaries and let agents chain unchecked — creating data leakage risk and unattributable failures that enterprises can't tolerate.
Role
- Sole engineer — platform architecture through implementation
- Designed the isolation model, phase gate protocol, and evidence pack format
- Built both admin and tenant-facing portals
Approach
- Built a full multi-tenant platform where each organization gets an isolated AI workspace
- Tenant isolation enforced at the orchestration layer — no shared agent memory or cross-tenant context
- Phase gates between agent steps: output must pass verification before the next agent runs
- Evidence packs (receipts + provenance) generated for every workflow completion
- Structured handoffs with explicit input/output contracts — no implicit state passing
- Failure halts the chain — agents cannot skip gates or self-promote to the next phase
Outcomes
- Zero cross-tenant data exposure by design, not configuration
- Every workflow output is traceable to its inputs, agent decisions, and source data
- Governance patterns proven in fintech (Truvesta, Ardura) generalized into reusable infrastructure
- Hard tenant isolation at orchestration layer — not just row-level security
- Evidence packs with full provenance attached to every workflow output
- Phase gates between every agent step: outputs verified before next agent runs
- Governance patterns from Truvesta/Ardura generalized into reusable platform infrastructure
What I refused to build
These constraints are part of the engineering signal: the work stayed useful because the unsafe shortcut paths stayed out.
- R-01Shared-context multi-agent execution — each tenant runs in an isolated cage
- R-02Implicit state passing between agents — all handoffs use explicit contracts
- R-03Agent self-promotion — no skipping verification gates regardless of confidence
Stack
Hiring signal
This is the kind of work I want ASADI AI to make legible first: fintech systems where product direction, architecture, execution, and governance all have to line up.