are on a mission to become the leading framework for federated and explainable AI—empowering enterprises to build secure, scalable, and transparent machine learning systems.
Kaustubh Beedkar, Phd, Founder Zoi Kaoudi, Phd, Founder Mirko Kaempf, Phd, Founder Founded By Industry Experts 10 yrs exec, two exits with deep tech startups, expert in AI, Big Data and IoT tech. Top researcher data regulation automation, open source exec. Prof IIT Delhi, India. Zoi is the key scientist behind Apache Wayang, researches ML / AI, Prof ITU, DK. Mirko is researcher and Chief Data Architect, with deep knowledge of AI, RTS and FL. In A Nutshell: 1. Over 50 Years of Expertise: A seasoned team with a proven track record in enterprises, data, and finance, with multiple successful exits. 2. Big Data and AI Leaders: Industry experts and executives with extensive experience in Big Data and AI innovation. 3. Open-Source Innovators: Major contributors to Apache Wayang, the meta-processing framework enabling cross-platform data analytics with over 1m downloads. 3 click click click click
Connect acts as a unified system without the need to move data around, thereby maintaining data privacy and regulations. Our unique AI-driven cost optimization sets us apart, dynamically adapting to data environments in ways competitors can't. Enables the use of AI by seamlessly integrating python, enables platforms like HuggingFace for enterprise data sources. Analytics, ML & AI Federated Learning for Enterprises
Time 7 * Benchmarking Scalytics Connect ~ 3TB Typical enterprise, data per day, factor 1000 for LLM! Time ~ 3TB Up to 150X Faster current solutions We are able to increase ML / AI processing up to 150X by leveraging current data platforms with our cross-platform data processing technology by removing data transactions. https://groovy.apache.org/blog/using-groovy-with-apache-wayang
9 2023 - LLM and small LLM adoption started 2025 - broad adoption of AI, data velocity increasing, data produced: 463 EB / day Data Analytics Demand Data management costs with current data architectures “The reality is that even though enterprises want to simplify their infrastructure, it’s very hard to move data to centralized platforms”. Zaharia, Databricks => 95% of businesses cite the need to manage unstructured data as a problem for their AI Goals. * 2030 - over 60% adoption of artificial intelligence (AI) in organizations and enterprises, data generated: ?
AI Compliance Slow Processing Fast Processing Competition 10 We connect decentralized data, simplify governance, accelerate AI development, optimize distributed processing, and power traceable ML + AI on any data source. Scalytics Connect
11 Development Partner SaaS Apache Wayang for Earth Observation (EO) https://ui.adsabs.harvard.edu/abs/ 2023EGUGA..2517046P/abstract Startup Discovery Partner
market. Once OSS gets adopted, proprietary can’t compete. We are the original creators of Apache Wayang. We Are Open Source open source leads: Wordpress: 63% CMS Android: 72% mobile phones Docker: 81% MySQL / PostgreSQL: 52% NginX: 41% Apache Hadoop + Cloudera: 28% * Apache Spark + Databricks: 38% * 2028: …. Apache Wayang + Scalytics: > 10% * Best Big Data Analytics Software in 2023 | 6sense Apache Wayang leads **: community started 2022 • > 1900 commits • > 100 stars • 33 contributors (Google, IBM, Cloudera, Alibaba, Databricks) • > 1M downloads Leading segment: • cross-platform data processing • agnostic data application • regulation compliant data processing • multi-platform environments ** apache/incubator-wayang: Apache Wayang(incubating) is the first cross-platform data processing system. (github.com) 13
Market 2023 > CAGR 37% Total Available Market TAM Scalytics Connect capitalizes on the expanding need for AI compliance amid increasing transatlantic business operations, tapping into a vital and growing market segment. Serviceable Available Market SAM Scalytics Connect targets a Serviceable Obtainable Market of $2.5 billion by capturing 10% of the AI-focused data integration market, leveraging its specialized compliance capabilities for U.S. and European laws. SOM $2.5 Bn $25 Bn $200 Bn The Market Potential 16