Interrogate
Our AI reads leases, extracts green clauses and flags missing obligations, parties and dates across a portfolio.
LeaseSignal turns complex lease agreements into cited, comparable climate intelligence—so investment and asset-management teams can see operational risk, green-lease coverage, and action priorities before a decision is made.
MVP in development · Hong Kong first · built for global portfolios
LeaseSignal combines document extraction, a green-lease taxonomy, and a reviewable evidence trail. The result is a practical decision layer—not a black-box ESG score.
Our AI reads leases, extracts green clauses and flags missing obligations, parties and dates across a portfolio.
We normalise clause strength into a shared taxonomy, ready for comparison across assets, sectors and geographies.
Teams receive source-linked findings, review queues and engagement priorities before they underwrite or renew.
Each clause finding is paired with the relevant contract passage, making review and challenge part of the workflow.
The system prioritises and structures the work; investment, legal and sustainability professionals retain the decision.
The target architecture pairs Amazon Bedrock for document reasoning with S3, serverless workflows and identity controls— designed for tenant isolation and auditable review trails.
Lease agreements are local; capital is not. We begin with the dense commercial portfolios and cross-border capital flows of Hong Kong, then add markets through configurable taxonomies—not a one-size-fits-all score.
Validate the workflow with a design partner: sample leases, review rubric, and a decision-ready portfolio brief.
Extend the taxonomy to comparable green-lease and disclosure-led markets with international capital links.
Add jurisdictions, asset classes and integrations as a permissioned benchmark network takes shape.
We are looking for forward-looking landlords, funds and advisers to pressure-test the MVP on real workflows.
Discuss a pilot ↗