Dzvin.co in 3 minutes — funding brief
Problem, DI × mental-health thesis, existing assets, execution milestones and funding purpose
Edition: October 2026
The investment thesis
Dzvin.co is a people-first digital mental-wellbeing project with personal, prospective enterprise, and research experiences. Its proposed scientific differentiator is applying Decision Intelligence and QDIP research principles to explainable, uncertainty-aware, human-controlled action selection rather than risk scores alone.
As of 25 October 2026 this is a software prototype without paying customers, revenue, completed independent pilots or validated effectiveness. Funding will support a qualified release and scientific/product validation.
What funding buys
WP1: integrated product and security. WP2: decision-policy science and reproducible evaluation. WP3: ethically governed human feasibility. WP4: evidence, operating readiness and controlled launch.
The work-package framework exists; headcount, calendar, pricing and the actual funding amount require verified project-owner budgets.
What is verifiable now
Public material includes web-interface code, B2C/B2B/R&D feature modules, source-of-truth roadmap and launch gates, and QDIP's public research narrative.
These are engineering and research foundations, not customer outcomes or proven clinical performance.
The falsifiable hypothesis
Can a transparent policy that incorporates temporal risk signals, uncertainty and the ability to abstain improve a preregistered decision-level metric over static advice or prediction alone?
If prespecified metrics fail, superiority is rejected; calibration, safety, missingness, bias and user override are central evaluation criteria.
Why now
Existing technical groundwork makes controlled experiments and release qualification possible without starting from a blank project, while integration and scientific risks remain material.
The funding thesis is milestone-based risk reduction, not scaling fictitious traction.
Next meeting
Investors: technical assets, de-risking tranches, addressable use cases and eventual commercialization hypothesis. Grant reviewers: Excellence/Impact/Implementation, methods, work packages, consortium and call-specific budget.
A binding application additionally requires verified team, legal applicant, staffing, detailed budget, schedule, IP/FTO and eligible funding instrument.
Discuss funding for the next verifiable development stage.
Discuss funding