At Hivemind Get, we turn theory into impact. Our research initiatives and real-world case studies demonstrate how collaborative AI can solve complex challenges, drive innovation, and create measurable value across industries.
Key Research Areas
Collective Intelligence Systems
Exploring how distributed teams and machines can co-create solutions faster and more effectively.
Human-AI Collaboration Models
Designing frameworks for ethical, explainable, and productive partnerships between people and AI agents.
Data-Driven Decision Making
Investigating how AI can augment strategic planning, forecasting, and crisis management in dynamic environments.
AI in Open Innovation
Studying how organizations use our tools to crowdsource ideas, automate research cycles, and build smarter networks.
Case Studies
1. Healthcare Innovation Lab (Canada)
Used our SmartAnnotate tool to collaboratively label 50,000+ medical images for AI diagnosis with 30% time savings.
2. Disaster Response Network (Indonesia)
Leveraged Hivemind Core to build an early-warning model for flood-prone regions with data from sensors and social platforms.
3. University-AI Alliance
Academic institutions across Asia and North America partnered via ThoughtMesh to co-author over 40 peer-reviewed papers.
4. Smart Manufacturing Collective
Industrial teams from five countries used FlowSync to optimize supply chain decisions using real-time AI recommendations.
Want to contribute your own study or join an ongoing one? Reach out and become part of the future of collaborative research.