We saw firsthand how fragmented data and manual workflows slow progress
We built Key Ward to change that. Unlike traditional data systems, Key Ward uniquely transforms engineering data, the insights it produces, and the workflows it powers into reusable intelligence. Our approach enables companies to scale technologies such as AI and machine learning across their engineering programs - accelerating innovation at every stage of the engineering lifecycle.
Used by engineering teams at
Engineering Data Was Never Meant to Be This Hard
Engineering work often begins from scratch, even when knowledge already exists. A single aerodynamic study can take over a year, involve hundreds of simulations, and cost millions to complete. Yet when the same problem appears again, teams are forced to repeat the work.
Simulation outputs live in proprietary formats. Test data sits in spreadsheets. Workflows are manual and disconnected across tools and teams. This pattern repeats across industries.
It’s not that data is missing; it’s that it can’t be found, combined, or reused.
Engineers spend
60–80%
of their time finding and preparing data rather than innovating with it.
Horizontal data infrastructures and internal machine learning stacks don’t solve the problem
Without a foundation, engineering knowledge remains fragmented, and teams are forced to repeat work. This is why horizontal data platforms and internal machine learning stacks fail to solve the problem.
Data platforms store data.
But neither solution structures engineering data for reuse.
AI platforms train models.
/ Why We Built Key Ward
Engineering progress shouldn’t disappear, it should compound over time
We saw this pattern across industries and recognized the problem wasn’t tools, but infrastructure. Engineering systems generate data, but they don’t prepare it for reuse. Nor do they structure it for machine learning. Key Ward uniquely connects - not replaces - tools, structures engineering data for reuse, and turns one-off work into repeatable, continuously improving workflows that other platforms can’t provide.
/ The Key Ward Approach
Key Ward connects simulation, testing, manufacturing, and operational systems, and structures their data into reusable engineering workflows
Organizations using Key Ward demonstrate measurable impact. By structuring and reusing engineering data, teams move from manual processes to scalable systems.
60%
faster time to insight vs. manual data preparation workflows
90%
reduction in simulation and compute costs
4–5
hours saved per cycle vs. manual data handling
Evolving at Speed
As demand for innovation increases, engineering organizations are turning to AI and autonomous systems to keep pace. But integrating AI into engineering workflows is not straightforward. It requires structured, accessible data across simulation, testing, and operational systems.
Key Ward provides the system that makes this possible, structuring engineering data so it can be used consistently throughout the engineering lifecycle, without disrupting workflows or replacing tools. The result is clear: organizations that leverage their engineering data move faster, learn faster, and outperform their competition.
Meet the Team
We dedicate our expertise to making data reusable across engineering programs so organizations can innovate faster and deliver better outcomes!
Hoss Habib
CEO
As a former aerodynamics engineer at BMW and Porsche, contributing to 13 patents in experimental aerodynamics and wind tunnel technologies, Hoss experienced firsthand how engineering data remains fragmented and non-reusable across simulation, testing, and production systems.
Joao Victor dos Santos Fonseca
CTO
As a software architect with 20+ years of experience building large-scale, distributed systems, Joao built the Key Ward platform from the ground up, enabling engineering organizations to structure and operationalize data for scalable analytics and AI. He’s also the former principal engineer behind Netflix’s early microservices architecture and engineering leader at SAP and Semrush.
Lubo Vodenicharov
Head of Engineering
Head of Engineering at Key Ward, responsible for building and scaling the platform’s core infrastructure. Background in aerospace engineering with experience at DLR in simulation and fluid dynamics. Focused on developing robust systems that enable complex engineering data workflows and scalable AI applications.
Asparuh Stoyanov
CPO
Product lead at Key Ward, Asparuh is shaping the platform’s architecture and translating engineering use cases into scalable workflows. He brings expertise in machine learning, computer vision, and product engineering.
Filippo Boscolo Fiore
Head of Account Management
Filippo works with enterprise and mid-market clients to translate complex engineering data challenges into scalable business outcomes. With 10+ years of experience across account management and data-driven technologies and a strong OEM and Tier 1 track record, Filippo focuses on building the foundation for analytics and AI adoption across engineering organizations.
Rajiv Sharma
Senior Data Scientist
Rajiv focuses on applying machine learning to engineering data, particularly in CFD and physics-informed modeling. At Key Ward, he builds scalable machine learning workflows that transform simulation and testing data into predictive insights, enabling faster and more efficient engineering decision-making. He brings research and industry experience in high-performance simulation and data-driven modeling.
Mostafa Sadek
CFD Engineer
Mostafa is a CFD engineer specializing in thermal engineering and numerical simulation. At Key Ward, he applies CAE analysis and simulation-based product development expertise to his focus on bridging simulation data with scalable workflows, enabling automated data processing and AI-driven engineering insights.
Ahmed Elsebaei
Data Scientist
As a data scientist with a mechanical engineering background, Ahmed focused on building practical machine learning solutions for engineering applications. At Key Ward, he develops data pipelines, trains models, and builds tools that enable scalable analysis across simulation and testing workflows.
Aman Chandel
Full Stack Engineer
Aman is a full stack engineer with 10+ years of experience building scalable cloud and data platforms. At Key Ward, he works on the core infrastructure layer, developing APIs, data pipelines, and application systems that support engineering data workflows and AI-driven use cases. He contributes expertise in building reliable, high-performance systems across enterprise environments.
Martin Stein
Application engineer
CFD, aerodynamics, and data-driven engineering expert. With KTM and Mercedes-Benz, he focused on simulation-driven product development and performance optimization. At Key Ward, he partners with customers to operationalize engineering data across simulation and testing workflows, enabling repeatable analysis and faster decision-making.
Chestha Atreja
Data Scientist
Specializing in agentic AI, data management, and MCP frameworks, Chestha builds AI-driven automation and assistants that enable engineers to navigate and command complex data, transforming sophisticated data ecosystems into intuitive tools for faster decision-making.
Dr. Martin Parschalk
Legal
An experienced international legal business partner and growth enabler in the technology field, Dr. Parschalk heads the worldwide commercial legal department at Autodesk where his team supports over US$ 6 billion of sales annually with operations in more than 50 countries and over 6,000 employees.
Andy Fine
US Reseller
Senior engineering software executive with extensive experience scaling commercial operations in simulation and AI-driven engineering. As a former Global Commercial Head at Neural Concept and VP EMEA at Altair, Andy advises Key Ward on go-to-market strategy and enterprise positioning across automotive and industrial sectors.
Edouard Lété
Head of Advisory Board
Dr. Florian Matusek
AI Strategy
Eric Saint Frison
Commercial Advisor
With over 40 years in the automotive industry, including 30+ years in marketing, strategy, and digital transformation, Eric advises leading companies on enhancing distribution and customer experience. His work focuses on applying digital innovation and AI to drive measurable business impact.
Eric Menoret
Global Account Executive
