About Eanna
We close the gap between AI capability and operational value
Eanna exists because the most common failure mode in AI adoption is not technical — it is organizational. Initiatives begin from a model, a vendor pitch, or a technology demo. We begin from the workflow: the processes, handoffs, systems, and decisions that define how your organization actually operates.
Leadership
Our team combines the analytical discipline of strategy consulting with the delivery rigor of production engineering.
John Coleman
Managing Partner & Co-Founder
John Coleman serves as Managing Partner and Founder of Eanna. Most recently Director of Strategy and Operations at Centari, where he advised top law firms on generative AI adoption and developed breakthrough capabilities in the application of artificial intelligence. He brings nearly two decades of experience at the intersection of technology, real estate development, and investment. His background includes founding a profitable SaaS startup serving world-class construction management and real estate development firms, managing over $1 billion in development projects, and building data platforms that aggregated and analyzed complex datasets for Fortune 500 clients. He holds a BA in History from the University of Vermont and brings both entrepreneurial instinct and deep operational expertise to every engagement.
Valentina Stanislavskaia
Chief Technology Officer & Co-Founder
Valentina Stanislavskaia serves as Chief Technology Officer at Eanna. Most recently a Senior Data Engineer at Meta driving video data analytics initiatives, she brings nearly two decades of experience leading machine learning programs, scaling predictive modeling capabilities, and directing large-scale data infrastructure. Her background spans risk analytics at BlackRock, data platform strategy at General Assembly, and founding Wirescribe Corp, where she led the design, development, and publication of original video games. She holds a BS from Cornell in Applied Engineering and Physics and a MFA from the New York Academy of Art, bringing both technical leadership and design sensibility to every solution.
The thesis behind Eanna
The gap between AI capability and AI value is an operations problem. Organizations do not lack access to models or tools. They lack the operational infrastructure to connect their existing systems, automate their actual workflows, and deploy AI where it creates durable leverage.
We built Eanna to address this gap directly. Our team combines the analytical discipline of strategy consulting with the delivery rigor of production engineering — because insight without execution is a slide deck, and execution without insight is a failed deployment.
The result is what we call the AI Operating Network (AION): a persistent integration and orchestration network across your existing systems. It connects tools, automates handoffs, and deploys AI agents against defined workflows with human oversight. Each integration becomes reusable infrastructure — the system compounds in value with every deployment cycle.
Structural differentiators
- Origin point is the workflow, not the technology
- Delivery is production systems, not strategy presentations
- Build on existing infrastructure — no rip-and-replace mandates
- Design for compounding returns, not one-off project value
- Governance and human oversight are architectural requirements, not add-ons