SensFish - Ocean Conservation Technology

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I understand the terms and agree to be contacted by SensFish regarding relevant ESG insights and solutions based on my survey results.

Select a score from 1 to 5 for each question. Add up your total points at the end to assess your current monitoring capabilities and see how SensFish can enhance your investment and risk management decisions.

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Assessment Questions

1. How effectively do you track and verify real-time changes in ocean regulations (e.g., the upcoming reporting regulation - TNFD sustainable fishing quotas, licencing rules, IMO decarbonization targets, IUU regulations, ESG reporting for investment, MPA compliance)?

1 - No automated tracking; compliance updates are manual and delayed

2 - Some regulatory updates are monitored, but gaps remain

3 - Regulations are tracked, but enforcement is not automated

4 - Mostly automated tracking, but integration is limited

5 - Fully automated compliance monitoring with real-time alerts via API

2. Please rank your current ocean-related ESG and SDG14 data access and data completeness (e.g., My data is absolutely complete, no gaps and I can get it in real/historical/predictive fashion, all in one place vs My data is with gaps and I am needing to maneuver several platforms at the same time to grant access)?

1 - No direct ESG compliance tracking; data is fragmented

2 - Some ESG reporting, but sustainability metrics are incomplete

3 - ESG reporting is in place but lacks real-time and predictive insights

4 - Strong ESG alignment, but manual verification is still required

5 - Fully automated, AI-driven ESG compliance with real-time and predictive analytics

3. How well do you leverage real-time, historical, and predictive ocean data for risk assessment (e.g., fishing vessel tracking for IUU, carbon sequestration/release from ocean seabed, tracking fish value chain with fish quotas)?

1 - No risk forecasting; risk assessments rely on outdated reports

2 - Some real-time data is used, but risk models are incomplete

3 - Moderate use of ocean data, but lacks predictive AI capabilities

4 - Strong risk assessment framework, but gaps remain in automation

5 - Fully integrated AI-driven risk assessment with automated risk scoring

4. How is your current ocean analytics supporting your decision-making in ocean sustainability, compliance, and risk management (E.g., to give/receive investment, to support investment insurance, to comply with ESG rules and regulations)?

1 - No integration; data is manually processed and siloed

2 - Some data is used, but integration with risk models is limited

3 - Data is integrated but lacks automated analytics and insights

4 - Strong data usage, but real-time AI-driven insights are missing

5 - Fully automated, AI-enhanced risk modeling with real-time data feeds

5. How proactive is your enforcement of ocean compliance and risk mitigation (e.g., I have access to deep mechanisms for real-time alerts and risk assessment vs I mostly monitor and assess breaches of regulations and risk assessment manually)?

1 - No proactive enforcement; actions are taken after incidents occur

2 - Some alerts are in place, but they are not automated

3 - Moderate monitoring, but compliance enforcement is still reactive

4 - Strong monitoring, but alerts and interventions require manual review

5 - Fully automated enforcement with real-time alerts and AI-driven risk mitigation

6. How effective is your ESG reporting in demonstrating real-time sustainability performance (e.g., I can seamlessly and effectively pull ocean insights and analytics into ESG-tailored report in a short time vs My team and I start preparing for ESG reporting much in advance to get it ready before submission deadline)?

1 - ESG reports are static, outdated, and lack verification

2 - Some reporting is automated, but data accuracy and timeliness are concerns

3 - ESG reporting is structured, but gaps exist in traceability and AI-driven insights

4 - Strong ESG reporting, but lacks full automation and predictive analytics

5 - Comprehensive AI-driven ESG reporting with real-time analytics and predictive insights

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Score: /30