WHY AIDOS?
Made for mining, minerals exploration and energy infrastructure companies.
Maintain your social license to operate
Succeed with communities by offering channels for grievances, feedback and surfacing insights from engagement sessions that help you build trust with the community from exploration to development and operation of your site.
Reduce the risk to your company from community concerns.
Get your permits on time and reduce work stoppages due to community fallouts. Guide your engagement strategies with insights generated by AI trained on internal and external community data to mitigate potential operational, legal, or financial risks to your site.
Comply with global standards like IFC and speed up time on audits
Prove compliance against global standards like IFC Performance Standards in a matter of minutes not weeks, identify the relevant gaps in your existing community & stakeholder engagements and generate relevant documents.
WHAT IS AIDOS?
KEY FEATURES
User management
Create and manage user accounts and permissions to control your teams' access to features.
Offline capabilities
Collect data anywhere - even when offline in the field.
Multi-language support
Platform support and translation of inputs for over 100 languages.
Data security
Your data is encrypted, secure, and GDPR compliant - with regular backups and disaster recovery plans.
Automatic sentiment analysis
Get insights into the sentiment of your stakeholders' feedback.
External data
Our AI leverages external data on your sites to provide context into the perspectives of your communities.
ABOUT US
We are a team of diverse backgrounds and cultures - with experience in venture capital, AI research, social impact, mining & fintech. Along with our advisors, we have created impact across 4 continents, built successful businesses and worked with some of the largest institutions in the world.
Contact us to succeed with communities and streamline your stakeholder engagement processes. We are your partner for reliable measurement, analysis, and verification of community data.
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