Plan + Risk
Transparent path from research to pilot.
Milestones are framed as intended work, not achieved traction.
Roadmap
Research, prototype, MVP, pilot, enterprise, global platform.
Q3 2026
Research
Publish Whitepaper v2.0, finalize prototype architecture, define dataset and evidence schema.
Q4 2026
Prototype
Build interactive intake flow, synthetic decision engine, diagrammed report generation, and model evaluation plan.
Q1 2027
MVP
Release controlled MVP with asset record creation, manual review, carbon estimate placeholder, and downloadable evidence packet.
Q2 2027
Pilot
Invite campus labs, local recyclers, and collection operators for narrow pilots with explicit success criteria.
2028
Enterprise
Expand integrations, role-based dashboards, compliance workflows, and processor-facing API surfaces.
2030
Global platform
Long-term vision: connect material traceability, recovery decisions, product data, and climate intelligence at scale.
Risk Register
Known failure modes and mitigations.
Technical
Model errors, device diversity, image quality, sparse data, and unsafe routing recommendations.
Human review, confidence thresholds, narrow pilot scope, model cards, and safety-critical escalation rules.
Financial
Circular operations may have limited software budgets and long buying cycles.
Focus on measurable workflow value and low-friction pilot design.
Regulatory
Waste handling, product passport, data protection, and ESG claim rules may change.
Source-linked policy monitoring and conservative claims.
Security
Asset data, serials, locations, and business inventories can be sensitive.
RBAC, encryption, audit logs, least-privilege APIs, and retention controls.
Market adoption
Stakeholders may resist new workflows if benefits are unclear.
Design around existing operations and prove value in narrow workflows.
AI limitations
Overconfident or hallucinated outputs can weaken trust.
Treat AI as decision support, require source evidence, and expose uncertainty.