Sust.in →
Evidence, workspace and reporting. Sustin AI is an embedded evidence-intelligence capability within Sust.in.
Deep-tech & Innovation Teams
Build evidence for responsible scale-up.
Technical performance is only one part of successful innovation. Human outcomes, sustainability, resilience, governance and evidence quality increasingly shape whether a technology can scale responsibly and earn trust.
Context
Challenges in this context.
Responsible innovation: connect technology choices with purpose, oversight and proportionate risk.
Evidence readiness: distinguish supported claims from material evidence gaps.
Human impact: examine effects on work, safety, agency, inclusion and wellbeing.
Sustainability: connect environmental and climate claims with traceable evidence.
Resilience: understand dependencies, implementation capacity and adaptability.
Standards interoperability: reuse relevant evidence across frameworks and reporting requirements.
Assessment readiness: prepare a clear context, scope and evidence base for review.
Relevant support
Specialist review, connected to the ecosystem.
- Responsible innovation
- Evidence readiness
- Human outcomes
- Sustainability
- Resilience
- Standards interoperability
- Assessment readiness
Engagement
From the technology to its wider implications.
Define the innovation and its context.
Review available evidence and affected perspectives.
Connect relevant frameworks and identify material gaps.
Prioritise actions and review findings with the team.
Connected systems
Use the right capability for each question.
i5Benchmark →
Framework, readiness and benchmark context for responsible scale-up.
i5Certification →
Assessment, scoring and verification pathways in development.
i5Index →
Rankings and coordinate comparison in research and development.
Skills & Toolkit: public resources + selectable implementation resources inside Sust.in workspace.