Xinovates: The AI Co‑Founder
A Multi-Agent System (MAS) for Automated Venture Creation.
Xinovates.comBeyond Automation — Structured Artificial Collaboration
Xinovates is a multi-agent AI system designed to transform ambiguity into structured venture architecture. Instead of generating isolated outputs, it simulates a coordinated team of specialized agents that collaborate across the full innovation lifecycle — from identifying a challenge to delivering a validated venture plan.
Problem Space Expansion
Xinovates begins by widening exploration. Agents conduct landscape scans, generate user personas, construct empathy maps, and surface hidden constraints. The system prevents premature solution bias by deliberately expanding the problem space before narrowing it.
Problem Definition & Synthesis
Specialized synthesis agents consolidate research, tensions, and user insights into a precise, actionable problem statement. The system evaluates clarity, feasibility, and strategic alignment before progressing.
Solution Generation & Critique
Multiple solution agents generate diverse concepts while embedded critics and adversarial agents stress-test assumptions, uncover blind spots, and refine ideas through structured challenge.
Venture Architecture & Validation
Selected concepts are translated into operational artifacts — value propositions, GTM strategy, financial modeling, risk analysis, and technical blueprints — forming a complete, structured venture plan.
Adaptive Agent Coordination
The system dynamically tunes agent context sharing and cross-phase referencing to balance creativity and grounding, enabling both breakthrough exploration and disciplined market validation.
Xinovates doesn't just automate tasks — it orchestrates structured artificial collaboration, turning complex innovation work into a repeatable and transparent decision system.
The Agent Fleet
21 specialised AI agents — each with a clear mandate — collaborating across the entire venture-creation pipeline.
Founder DNA
Analyzes user traits to align venture ideas with founder fit.
Problem Research
Scans global markets for validated problem spaces.
Persona Creator
Generates "Customer Twins" based on demographic data.
Empathy Mapper
Conducts autonomous interviews to uncover user pain points.
Problem Synthesizer
Consolidates research into actionable problem statements.
Technology Scout
Identifies emerging technologies relevant to the solution.
Solution Ideation
Generates divergent solution concepts.
Solution Critics
Challenges ideas to test for viability and logic.
Solution Selection
Filters concepts based on feasibility and impact.
Devil's Advocate
Relentlessly stress-tests business models to reduce hallucinations.
IP Strategist
Analyzes intellectual property landscapes and patent viability.
Value Proposition
Crafts and refines the core value promise.
Lean Canvas Modeler
Automatically generates full business model canvases.
Storyboarding
Visualizes the user journey and product experience.
Financial Modeler
Projects P&L, unit economics, and revenue forecasts.
Strategy
Defines long-term vision and competitive positioning.
Risk Analysis
Identifies potential regulatory, market, and technical risks.
Tech Blueprint
Outlines the technical architecture required for the MVP.
GTM Strategist
Develops Go-to-Market launch plans and channel strategies.
Pitch Deck
Drafts the narrative and structure for investor presentations.
Ethics Oracle
Scans for bias, safety compliance, and ethical alignment.
Academic Backing
The Xinovates platform translates the academic frameworks developed by researchers at the University of Oxford into executable code.
Reza Kalantarinejad
Founder & Lead Researcher
Academic Visitor and researcher, Saïd Business School, University of Oxford. Scientist-entrepreneur focused on AI-driven innovation.
LinkedIn Profile
Marc Ventresca
Co-founder & Strategic Advisor
Faculty at Saïd Business School, University of Oxford; GB Fellow at Wolfson College. Senior scholar of innovation and strategy.
LinkedIn ProfileInterested in the research?
Feel free to get in touch — I'd love to talk about multi-agent systems, AI-driven innovation, and the future of autonomous decision-making.