Learn what it means to be truly AI-native — join our live product demo on Thursday at 10am PT

Learn what it means to be truly AI-native — join our live product demo on Thursday at 10am PT

New at Everest

AiSpecify is Enterprise Native AI

Code generation is commoditized.

What isn't: knowing what to build, ensuring it conforms to your architecture, and deploying it with enterprise-grade governance. AiSpecify is your comprehensive AI solution to design, develop, and deploy your software.

Most IT Spend Goes to Standing Still

Most of an IT team’s budget and time goes to reducing tech debt, large migrations, and managing an ever growing portfolio of SaaS subscriptions that don’t fully fit the business’ needs. 

This keeps large organizations from responding to changes quickly.

Most AI Tools Only Make It Worse

Today’s AI tools automate code development—that's it.

Business systems managers know that without proper consideration of overall architecture, system design and lifecycle management optimizing for code generation instead of enterprise governance only amplifies the problem.

AiSpecify Is Enterprise-Native AI

From prompt to requirements to production-ready applications — through a specification-driven process that handles the parts vibe coding skips.

Spec-Driven, Not Vibe-Driven

Describe what you need in plain language. AiSpecify generates structured requirements and full technical specifications — the governed blueprint that guides every line of code.

Catch Conflicts Before Code

AiSpecify analyzes your specifications for contradictions, logic gaps, and data model issues — flagged by severity, with recommended fixes and a full audit trail.

Thousands of Tests, Every Build

Thousands of Tests, Every Build Body: Every build runs through end-to-end testing in isolated sandboxes, with full traceability back to merge requests and environments. Nothing touches production unvalidated.

Enterprise-Grade Access Control

AiSpecify's permission management lets you define, test, and audit access at a granular level, so governance isn't a bottleneck but a built-in guarantee. 

Version, Package, Deploy

Every project builds into versioned, auditable releases. Connect to GitHub, create checkpointed releases, and trace every deployment back to its source.

Rethink Build vs. Buy

When your AI platform handles the hard parts — governed specifications, automated testing, enterprise-grade permissions, and auditable deployments — the calculus changes. You're no longer choosing between slow custom builds and off-the-shelf software that kind of fits.


AiSpecify lets you build exactly what your business needs, by function, geography, or segment — at a fraction of the cost and timeline of traditional development. No more paying for features you don't use, hiring consultants to bridge the gaps, or pushing out the refactors you can't afford to delay.

90% of global GDP runs through software this team built

The architects behind SAP HANA, SAP Business Warehouse, and SAP Analytics Cloud started over. Everest's leadership team brings 150+ combined years of enterprise software experience from SAP, J.P. Morgan, Veeva Systems, and Stanford's d.school. They built the platforms the world's largest organizations run on.


Now they're building what comes next.

Franz Faerber

Franz leads Everest’s overall technology strategy, driving the architecture and product vision behind Everest’s AI-native ERP platform. He plays a hands-on role in shaping how core system functions like multi-book accounting, real-time automation, and AI workflows are delivered with both speed and scalability. His belief in the power of integrated, intelligent systems is central to Everest’s approach, that AI shouldn’t be bolted on, but woven directly into the fabric of ERP.



Franz brings over 30 years of enterprise software leadership to the company. As Executive Vice President of Technology at SAP, he was the original architect and development lead of SAP HANA, the industry’s most advanced in-memory database. He also served as Head of SAP HANA Development, managing large global teams across Germany, India, and China. His work laid the foundation for modern real-time enterprise platforms used by thousands of global organizations.

Sam Yen

Sam is a design and innovation leader who has spent 25 years helping large corporations reinvent for the better. He’s worked at small startups and some of the world’s largest software companies, as well as taught creativity and innovation at the Hasso Plattner Institute for Design at Stanford (the "d.school") and Stanford's Graduate School of Business.

Sami Muneer

Sami brings 20+ years experience building and scaling enterprise software and hardware businesses. He’s worked at startups at various stages as well as large companies as J.P. Morgan and SAP. He is distinct in his breadth and depth: he’s led product and design, but also sales, marketing, customer success, and support. This gives him a practical, end-to-end understanding how great products are built, launched, and scaled.

 

As a Managing Director at J.P. Morgan, he led product and design in the New Business Ventures Group of their global corporate bank. Prior, he led several functions at startups focused on AI platforms and software, drones and robotics. Prior, at SAP, he launched and scaled new product lines in sports tech, energy and environment mgmt., mobile and more, several of which grew to $100M-$250M businesses. 

Stefan Sigg

Stefan helps lead enterprise architecture decisions around Everest’s AI-native ERP platform. With over 30 years experience in the industry, he has helped design, build, launch, and commercialize large-scale software products used by the world’s largest companies. He has a particular expertise in product management, development, research, support, cloud operations, business intelligence, and AI. 

He’s a former member of the executive board at Software AG and an SVP of Product and Technology at SAP. There, he was responsible for all aspects of the company’s global product portfolio. He played a crucial role in launching SAP Business Warehouse, SAP HANA, SAP Analytics Cloud, and much more.

Joachim Fitzer

oachim oversees engineering at Everest, where he is responsible for building a secure, extensible platform that can support the speed, complexity, and compliance demands of modern SaaS businesses. He ensures Everest is engineered for resilience, adaptability, and performance at scale.

Prior, at SAP, Joachim served as Chief Development Architect for SAP Business ByDesign and SAP Data Hub, where he led architecture for large-scale ERP and data integration platforms. He’s an expert in multi-tenant SaaS infrastructure, metadata-driven design, and building configurable systems that balance complexity with usability. 

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Enterprise-Native AI

Sam Yen