RECIRCUIT RESEARCH

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.