Ergodic

Ergodic

Specializes in Active AI for enterprises, focusing on actionable insights from data to enhance performance metrics across industries.

  • Edit
Get premium to view all results
DateInvestorsAmountRound
investor

€0.0

round
*

N/A

Seed
Total Funding000k
Notes (0)
More about Ergodic
Made with AI
Edit

Ergodic, a London-based company founded in 2024, is developing an AI-powered platform for process intelligence and decision-making aimed at large enterprises. The company has secured seed funding from investors including Oxford Capital, Mercuri, and Shilling. The founding team, consisting of CEO Zubair Magrey, CTO Andre Franca, and CSO Andrej Nikonov, possesses extensive experience in enterprise-scale data solutions and AI research. Magrey previously built and sold data and AI solutions at Accenture, while Franca has a background as a senior quant at Goldman Sachs and holds a PhD in Theoretical Physics.

Ergodic's core offering is an end-to-end AI platform that utilizes what it calls "Enterprise World Models." This technology is designed to address the challenge of extracting actionable insights from complex and often unstructured enterprise data. The platform works by ingesting vast amounts of multi-modal data—including text, images, and audio—and creating a structured knowledge representation. It then builds a dynamic model, or a digital twin, of an organization's business processes. This allows the system to link processes to key performance indicator (KPI) outcomes, identify root causes of issues, and simulate the results of potential actions.

The business model focuses on providing a user-friendly platform that enables non-technical business users to conduct scenario analysis and receive concrete recommendations for improving KPIs. This is intended to move beyond the limitations of traditional predictive and generative AI by answering "what-if" and "what-should-we-do-next" questions with clear, actionable answers. The platform integrates with a variety of data sources and uses AI agents to automate data-intensive tasks. Although in its early stages, Ergodic has engaged with Fortune 500 companies as customers and design partners, applying its technology to use cases such as product forecasting, supply chain management, and sales optimization.

Keywords: Enterprise World Models, decision intelligence, process intelligence, process mining, unstructured data analysis, AI for enterprise, business process optimization, scenario analysis, KPI improvement, digital twin of an organization, Zubair Magrey, Andre Franca, Andrej Nikonov, action-oriented AI, multi-modal data ingestion, predictive analytics, supply chain optimization, sales optimization, Fortune 500 clients, Oxford Capital

Analytics
Unlock the full power of analytics with a premium account
Track company size and historic growth
Track team composition and strength
Track website visits and app downloads