Win-Win Expansion in Latam

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Win-Win Dispute Resolution

Win-Win is a decentralized dispute resolution platform and marketplace built on the Cardano blockchain. It allows disputing parties to find a suitable mediator to help resolve their conflict in a timely and cost-effective manner outside the court system. The marketplace enables mediators to focus on the mediation process without having to engage in often questionable business boosting practices.

Developed by Loxe Inc., a US based company, the Win-Win Dispute Resolution platform is initially focusing on the US market, as most of the team is based there and understand the mediation process for that country. However, our roadmap includes expanding our services to all continents.

As a platform working on the legal sector, we need to understand the specificities and particularities of each country we aim at expanding to, therefore some market and law research is required. Therefore, the main goal of this proposal is to fund the expansion of Win-Win to Latam, starting with Brazil. To achieve that, we will partner up with a local mediator which will support our research and expansion within the country.

Roadmap

March 2022

• Perform a selection process and partner up with a local mediator to work part time for 3 months
• Research about Alternative Dispute Resolution and Mediation in Brazil: awareness, success rates, certification processes, costs, etc.

April 2022

• Outreach to Law Universities.
• Outreach to local governments with Alternative Dispute Resolution programs.

May 2022

• Onboard at least 1 institution and 5 brazilian mediators to Win-Win platform
• Localize the Win-Win platform to Brazil and Portuguese in general

Success metrics

• After 3 months: To have on boarded at least 1 institution and 5 brazilian mediators to Win-Win platform
• After 6 months: To have on boarded at least 20 more brazilian mediators to Win-Win platform
• After 12 months: To have on boarded at least 40 more brazilian mediators to Win-Win platform

Team

The Loxe Inc. team is behind this proposal, and we have already been funded through Catalyst in Fund 6 for the following proposals:

• Win-Win Dispute Resolution: https://cardano.ideascale.com/a/dtd/368353-48088
• Gravatar for ADA Wallets: https://cardano.ideascale.com/a/dtd/367448-48088
• Proof of identity for mediators: https://cardano.ideascale.com/a/dtd/368367-48088

Besides, we are building partnerships with other projects being developed in the Cardano and Catalyst ecosystems, such as the Proposal Mentor Marketplace (https://cardano.ideascale.com/a/dtd/369749-48088).

Our team site ( https://winwin-team.web.app/ ) has additional information on each team member incl. LinkedIn and/or Github links.

Matthias Sieber

• Professional Software Engineer for over 20 years
• worked on Liqwid through MLabs internship
• Conflict Resolution Specialist (Mediator, Facilitator, Peacekeeper, Educator)
• BA in Negotiation, Conflict Resolution, and Peacebuilding
• Master of Dispute Resolution
• Community-elected Moderator on Cardano Stack Exchange
• Plutus and Prism Pioneer (1st cohorts)
• Project Catalyst Community Advisor and Veteran Community Advisor
• Catalyst Circle member representing the Cardano Foundation
• Cardano Ambassador
• Built successful marketplaces, startups, SMBs, and mission-driven teams
• Gimbalabs PPBL Team Member

Eli Selkin, L.C.S.W., M.S

• Professional Software Engineer for over 5 years
• Plutus Pioneer
• Gimbalabs PPBL Team Member
• MS in Computer Science, specializing in Machine Learning
• ML architect
• B.A. in Psychology
• Masters of Social Work
• Licensed clinical social worker

Victor Corcino

• Energy Industry Engineer for 6 years
• Gimbalabs PPBL Team Member
• Member of the 1st Catalyst Circle as Community Advisors representative
• Catalyst Veteran Community Advisor and Proposal Mentor
• Co-creator of AIM Community Tools (CA/vCA Tools, Voter Tool)
• BSc Chemical Engineering and MSc Chemical Engineering and Software Development
• Specialization in Data Science, Artificial Intelligence and Machine Learning
• PhD candidate, researching the field of Machine Learning applied to Computational Fluid Dynamics

Budget

• Brazilian mediatior compensation: $2000 / month
• Win-Win team member as part time support: $2000 / month
• Win-Win platform localization to Brazil / Portuguese: $3000
• Total for 3 months: $2000 x 3 + $2000 x 3 + $3000 = $15k