Peer-reviewed output produced through the platform
Two peer-reviewed conference proceedings: WEAI 2026 and AMA Summer Conference 2026. Eight months of founder testing on real research.
The academic research workflow platform
A 32-step AI-augmented framework across 5 phases. Citations only from academic database searches. Human judgment at every decision point.
The goal is to amplify the researcher.
From project genesis through manuscript development. Every stage guided by AI, every decision made by the researcher.
Plan, Create, Critique, Refine. The cycle runs at every stage, ensuring continuous improvement until publication-ready.
Every citation traces to OpenAlex, Semantic Scholar, or CrossRef. The architecture makes hallucinated citations impossible.
Core Philosophy
Research is not linear. Neither is this framework. These three pillars guide every capability.
Pillar 1
AI does not answer for the researcher. It challenges the researcher's thinking. Through targeted questioning, it surfaces hidden assumptions, exposes gaps, and pressure-tests alignment before the researcher invests time building on a flawed foundation.
Pillar 2
Every output is a draft. The framework supports repeated cycles of creation, critique, and enhancement. Work is never locked. It evolves as understanding deepens, literature reveals new insights, and methods sharpen.
Pillar 3
AI augments, humans decide. The researcher reviews, approves, revises, and directs at every stage. No AI output advances without human judgment. The researcher remains the author, the thinker, and the authority.
AI processes literature at scale, identifies patterns humans miss, maintains consistency across complex documents, and never tires of asking "why?", freeing the researcher to focus on insight, judgment, and original thinking.
Research demands judgment that AI cannot provide: determining what matters, what is novel, what is ethical, and what contributes to the field. Every AI output is a recommendation, never a decision. The researcher's expertise, context, and values remain the driving force at every stage.
Two peer-reviewed conference proceedings: WEAI 2026 and AMA Summer Conference 2026. Eight months of founder testing on real research.
The Framework
32 steps across 5 phases. AI-guided at every stage. Human decision-making throughout.
From initial idea to search-ready. AI challenges assumptions, pressure-tests research questions, and validates alignment through iterative Socratic dialogue.
Fully autonomous pipeline. Multiple AI engines execute search, enrich metadata, screen for relevance and novelty threats, and produce deep reviews with no human intervention.
Researcher validates AI results, adjudicates edge cases, records evaluations, and conducts targeted gap-filling searches that loop back through the agentic pipeline.
Theory foundation through methods design. Each workflow follows Socratic planning, creation, AI enhancement, and critique. Includes Libby Diagram and full-project evaluations.
Every section follows a 5-step workflow: Socratic Planning, Outline, Draft, Critique, Enhance. AI guides, researcher approves. Iterative until publication-ready.
Worldwide Collaborative Environment
The greatest challenges of our time are not isolated problems: lack of economic opportunity, social disparities, environmental degradation, poor health and wellbeing, educational gaps, and barriers to entrepreneurship. They are interconnected crises that demand interconnected solutions.
The Research Stack
Not a search tool. Not a reference manager. Not a general-purpose assistant. A full research workflow platform.
Downstream organizing layer for citation management
Foundation layer, orchestrated through OrbisFramework infrastructure
Orbis Scientia replaces these.
50–100 search terms generate 1,000–4,000+ articles. Automated screening reduces this to 20–40 articles for human review, each with DOI links. One complete provenance ledger. No manual tracking. No spreadsheets.
Research Program
Four studies, 50,000+ articles. The platform is the instrument, the program is the science, the publications are the evidence.
Study 1
PilotThe November 2022 inflection point as a structural break.
Comprehensive meta-analysis of FT50 journal publications examining the structural break in research patterns following the November 2022 inflection point.
Study 2
Ready for PilotThree value paths for academic research translation.
Systematic review and executive summarization of FT50 research for industry applicability.
Study 3
In DevelopmentScaled research gap analysis for university research programs.
Computational identification of research gaps using OpenAlex and Semantic Scholar cross-reference, scaled to coordinated university research programs.
Study 4
ResearchThe platform as research instrument.
Methodological study of AI-augmented research design using the platform itself as the research instrument. Pre-registration noted when in place.
Roadmap
Five phases of development. Commitments backed by working capability, not aspirations.
Forty years in high-stakes environments.
Doctoral candidate at Daniels College of Business, University of Denver.
Eight months of pre-release testing on real research before public release.
Schedule a strategic conversation to explore how Orbis Scientia fits your research workflow.