Spiritual Data is a global community and a United States registered non-profit organization (tax exempt).

Problems we're solving:

• Lack of awareness and access to existing scientific research relevant to spirituality and life decisions, leading to manipulation by biased scientific authorities and belief systems.
• The time-consuming and complex process of gathering and analyzing data to form unbiased, reliable answers to major spiritual questions.
• Applying holistic knowledge and spiritual science to mental and physical health.

Mission:

Spiritual Data's mission is to empower informed decision-making and advance scientific understanding by fostering a collaborative, reliable, and accessible source of truth for spiritual questions.

Vision:

Establish spiritual science as a mainstream field, fostering a global shift towards evidence-based understanding and transcending belief systems to expand human potential.

Social Causes:

• Personal growth: Provide every individual intellectual autonomy through access to undeniable evidence for spiritual answers and truth that may affect their decisions and accelerate personal growth. → Help individuals
• Science: Personalize science to individual subjective experience. Unblock all areas of science by overcoming bias and considering spiritual explanations. → With data
• Education: Teach evidence-based spiritual knowledge and spiritual science in standard education systems. Enable a culture of sharing spiritual experiences in society and education. → To change the world

But while answering spiritual or metaphysical questions is our niche and why Joshua founded this project, this is also about truth in general and even AI in general. AI needs a reliable model of reality and truth, and now AI can help make it. That’s what we’re building.

Here’s how Spiritual Data stands out:

1. We're extremely open. Open data and open methods is necessary for a fully trusted source of truth. Much of our code is open source. For now, our data and Concept AI framework is accessible only to collaborators, and we are preparing an interface for researchers to access these.
2. We're disrupting research review. We’re researching evidence-reliability and fundamentally changing how research is analyzed when aggregated together as a whole. What matters is establishing an unbiased source of “current best guesses” about the nature of reality, which can continually improve as more data is added.
3. We have an AI-first approach. With a computational linguist as a Founder, we seek to automate every part of the process while allowing human correction and addition. This is why we’re not intimidated by the enormity of the task before us. Once the method is established, it will scale and allow people around the world to contribute and leverage each other's research automatically.