Elitizon
Elitizon describes itself as an AI Builder Factory and technology venture studio that combines autonomous AI agents with deployed, vetted engineers to deliver working AI and data solutions in days rather than months. Its stated mission is to stop selling advice and instead provide deployed capacity and measurable outcomes.
At a Glance
- Startups
- Fortune 500 and enterprise companies
- Financial services
- Healthcare
- +6 more
AI Tools by Elitizon
(1)
EdgeQuake
Open-source Rust Graph-RAG framework that turns documents into knowledge graphs and answers queries with sources on PostgreSQL.
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Latest News
EdgeQuake repository changelog records the v0.34.0 release bump.
Elitizon published 'Autonomy Needs a Heartbeat — Stabilization & Recalibration for Long-Horizon Agents.'
Elitizon published 'From Data Lakes to Data Mesh: Scaling Analytics Architecture.'
Elitizon announced its transformation into the AI Builder Factory, introducing the 80% AI Agents plus 20% Deployed Experts Dual Engine Model.
Products & Services
Pre-built and custom autonomous agents for sales, support, operations, analytics, HR and recruiting, with outcome-based deployment and capacity scaling.
A remote-first network of vetted AI and data engineers who embed with client teams for legacy-system integration, governance and human-in-the-loop oversight.
Vector databases, RAG pipelines, real-time data streaming, enterprise data governance and knowledge-base construction that provide the data layer for agents.
Data-pipeline architecture, streaming, cloud data platforms, quality/governance, warehouses and lakes using tools such as Airflow, dbt, Spark, Kafka, Snowflake, BigQuery and Redshift.
Market Position
Elitizon positions itself as an independent hybrid alternative to large consulting firms: lower-cost, faster implementation that combines autonomous agents with elite human integration rather than strategy-only consulting. Within Graph-RAG, its EdgeQuake project differentiates through Rust-native performance, PostgreSQL/Apache AGE storage, multiple retrieval modes, self-hosting and Apache 2.0 licensing, and is presented as an alternative to Python LightRAG, Microsoft GraphRAG and traditional RAG stacks.
Leadership
Founders
Raphaël Mansuy
French technology and AI/data leader based in Hong Kong; trained in computer science with AI and database specializations, built software consulting businesses, sold his last company to Air Liquide in 2020, and serves as Elitizon's CTO. His public profile also identifies him as co-founder of Elitizon and founder/board member of QuantaLogic.
Jane Leung
Hong Kong-based technology venture and startup-studio executive. Elitizon identifies her as CEO with experience scaling technology companies and leading business development, AI strategy, and digital transformation across Asia-Pacific; public LinkedIn search results identify her as a director/co-founder in technology ventures and startup studios.
Executive Team
Jane Leung
Chief Executive Officer
Hong Kong-based technology and venture-studio leader responsible for strategic leadership, business development, AI strategy and digital transformation across Asia-Pacific.
Raphaël Mansuy
Chief Technology Officer
Technology leader focused on AI, data engineering, technical architecture and system design; previously built software consulting businesses and sold his last company to Air Liquide in 2020.
Founding Story
Elitizon says it was established in Hong Kong in 2020 to bridge Asian innovation with European expertise. It began as a venture studio helping startups build data and AI foundations, expanded into enterprise AI consulting, adopted LLMs, agents and RAG early, and evolved into the AI Builder Factory in 2025 to combine automation with human implementation expertise.
Business Model
Revenue Model
Professional-services and implementation engagements for AI, data engineering, machine learning, generative AI and agent deployment; a hybrid of outcome-based AI-agent delivery and deployed-engineer/project or long-term partnerships. EdgeQuake is open-source under Apache 2.0, with enterprise revenue positioned around priority support, custom integrations, security and on-premise deployment assistance.
Pricing Tiers
Typical 4-8 week engagement range stated in Elitizon's FAQ.
Typical 3-12 month project range stated in Elitizon's FAQ.
Typical ongoing-support range stated in Elitizon's FAQ.
Hourly range shown on the careers page for deployed experts.
Target Markets
- Startups
- Fortune 500 and enterprise companies
- Financial services
- Healthcare
- Retail
- Manufacturing
- Automating sales, customer support and back-office operations
- Autonomous data analysis and enterprise knowledge assistants
- HR and recruiting workflows
- RAG and vector-database foundations for generative AI
- Legacy CRM, ERP, database and API integration
- Predictive analytics, computer vision, NLP and recommendation systems
- The company says it serves Fortune 500 companies, European enterprises and global retail companies, but does not publicly name individual customers.