CollaborativAI
Multi-AI consensus with barycenter analytics, Voronoi partitions, and round-by-round debate orchestration
We pair frontier AI engines with geometric convergence metrics, rationale sharing, and transparent debate records so research teams can interrogate ideas and watch agreement emerge in real time.
Our Mission
We are actively building the CollaborativAI R&D engine: Enhanced V2 features with Venn overlap analysis, barycenter proximity clouds, convergence proofs, and rationale-aware prompting. Our internal Lab (Team2025) dogfoods every build, running structured debates across GPT-4, Claude Opus, Gemini 1.5, Grok, and more before promoting modes to the public workspace.
Scientific Rigor
Geometric consensus metrics (barycenter vectors, Voronoi partitions, convergence proofs)
Transparent Methods
Structured prompts with rationale + source sharing in every debate round
Open Collaboration
Team Lab with shared API vault, Google Drive library, and discussion forum
Research Areas
Enhanced V2 Analytics
Venn overlap, proximity clouds, and convergence metrics that track semantic and evidential alignment
Barycenter & Voronoi Visuals
Geometric partitioning that reveals how AI engines claim semantic space across debate rounds
Lab Dogfooding
Passcode-protected Lab console for internal experiments, rationale reviews, and rapid iteration
Google Cloud Platform
Cloud SQL Postgres, Drive integration, and shared API vaults keep the research workspace in sync
Dynamic Mode Registry
Simple, Enhanced V2, V3 Research, and experimental V4/V5 toggles ship via a config-driven pipeline
Debate Orchestration
Transformer-inspired cross-interrogation that steers engines via barycenter vectors each round
What's Live Right Now
Enhanced V2 Workspace
Run multi-engine debates with live Venn diagrams, barycenter proximity clouds, convergence curves, and rationale/source summaries. Watch semantic and evidential distance shrink as engines align.
- • Works with GPT-4, Claude Opus, Gemini 1.5 Pro, Grok, DeepSeek, Mistral
- • Team defaults auto-load shared API keys (Lab passcode required)
- • Source-aware prompts capture citations every round
Protected Lab & Library
Internal dogfooding hub with Google Drive library, discussion forum, and experiment console. Every experimental mode ships here first before graduating to the public app.
- • Passcode Team2025 unlocks Lab during active development
- • Live Drive listings with owners, modified dates, and quick links
- • Forum threads tied to convergence runs and shared documents
Research Papers
Multi-AI Convergence Analysis: Methods and Applications
A comprehensive framework for analyzing consensus across multiple AI systems using semantic similarity and graph-based approaches.
Paolo Pignatelli et al. • In Preparation • arXiv preprint
Team Research Papers & Working Drafts
Access protected research papers, working drafts, and team collaboration materials.
Team Login RequiredOur Team
Res Saleh
CEO
Corporate Development
Paolo Pignatelli
CTO / EVP R&D
AI Consensus Methods, Multi-Model Analysis
Jody Fast
VP Marketing & Sales
Business Development & Strategy
Marc Burch
VP Business Development
Business Development
Lynn Saleh
Special Advisor to CEO
Strategic Planning & Advisory
Team Workspace
Collaborate on research, share materials, and discuss ideas in our protected team space. Future: AI agents will participate alongside team members!
Access Team SpaceGet In Touch
Interested in our research or potential collaborations?
Paolo@Collaborativ.ai