About
We turn complex data into Confident Decisions with Humaxa AI
Before founding Humaxa, we spent years inside complex organizations—and saw the same pattern again and again: incredibly capable people held back by systems that made their work harder than it should be.
Experts spent hours searching for information they knew existed. Teams duplicated work because knowledge was buried in disconnected tools or locked within silos. Leaders struggled to connect insights across their organizations when it mattered most.
So we built Humaxa—an AI-powered platform designed to surface expertise, connect people with the insights they need, and eliminate the friction that slows organizations down.
Our Mission
To accelerate highly regulated industries towards a more resilient, efficient, and sustainable future.
Our Vision
To be a global leader in intelligent, secure, and sustainable transformation for the world’s most critical industries
Our Values
Strive for Accountability, Readiness is Key, and most importantly, People Matter.
Meet our team
At Humaxa, our team is intensely thoughtful and creative. We enjoy lifting stones up just to see what’s underneath. Our diverse team brings different strengths to the table. but we ALL focus on helping organization maximize employee retention and performance.
Carolyn Peer
Ceo, co founder
Carolyn Peer brings deep expertise in AI, human capital, organizational transformation and enterprise innovation, combining a background in cognitive neuroscience and instructional technology with extensive experience in Human Capital Management. As Humaxa’s co-founder, she has helped shape the company’s approach to applying AI to real organizational problems—not simply deploying technology, but identifying where AI can improve productivity, knowledge access, customer service, compliance and decision-making.
Carolyn’s work has helped establish Humaxa’s methodology for moving organizations from AI experimentation to practical business outcomes. Her work spans predictive analytics, employee experience, knowledge management, customer support, manufacturing efficiency and compliance. Humaxa has demonstrated this approach in areas including predictive maintenance, warranty analysis and large-scale engineering data, with documented results including a 20% reduction in test-cycle time and 30% fewer redundant retests in an automotive testing application.
Jennifer Gargulinski
CGSO / CMO / CO-FOUNDER
Jennifer Gargulinski is an AI strategy and workflow automation leader who advises organizations on applying AI to complex engineering, manufacturing, testing, research, product development, marketing, market intelligence, compliance and business processes. As Chief Marketing, Growth & Strategy Officer at Humaxa, she connects AI, technology and business strategy to identify high-value opportunities, design practical solutions and drive enterprise adoption.
Jennifer began her career as an AI Engineer at General Motors and went on to hold technology and management roles with Texas Instruments and Continental Automotive Systems. She holds a Magna Cum Laude B.S.E.E. from the University of Michigan and an MBA from Northwestern University’s Kellogg School of Management, complemented by private consulting, executive leadership and startup experience, including leading global teams responsible for more than $1 billion in new business.
Guillermo Borges
CTO / Co-Founder
Guillermo Borges brings the technical depth required to turn enterprise AI concepts into secure, scalable software systems. As Humaxa’s technical co-founder and CTO, his focus spans AI architecture, software engineering, data integration and the underlying technology required to connect AI with real enterprise workflows.
His role is particularly important when organizations move beyond experimentation and need AI that can operate reliably against proprietary data, business rules and existing systems. Humaxa’s enterprise platform is designed around complex data environments, integrations, role-based access, validation, traceability and safeguards for accuracy—capabilities that distinguish an enterprise AI implementation from a simple chatbot or off-the-shelf LLM.
Ursula Taebert
Head of Humaxa Europe
Ursula Taebert brings more than 25 years of experience across technology, innovation, R&D, technology transfer and strategic transformation, including work across automotive and aerospace. Her expertise lies in taking technically complex ideas and helping organizations turn them into scalable, market-ready solutions.
At Humaxa, Ursula provides strategic guidance where AI intersects with engineering organizations, innovation programs and enterprise transformation. Her ability to bridge deep technical understanding with business strategy is particularly valuable for organizations trying to determine not only what AI can do, but how emerging technology should fit into their broader R&D and innovation strategy.
Guilherme Borduchi
Software
Guilherme Borduchi contributes the software engineering expertise that turns Humaxa’s AI capabilities into working applications, integrations and user experiences. His work supports the development of practical AI solutions designed around the way organizations actually operate rather than forcing users into a new technology stack.
That implementation focus is central to Humaxa’s consulting model: connect AI to the organization’s existing data, systems and workflows, then make the resulting intelligence accessible through the tools employees already use. Humaxa supports enterprise integrations and conversational access across platforms including Microsoft Teams and Slack, helping reduce the friction between AI capability and everyday adoption.
Lisa Thee
Industry Expert
Lisa Thee brings expertise in AI safety, privacy, cybersecurity, risk and responsible AI, providing an important governance perspective as organizations move AI into increasingly consequential workflows. Her role helps ensure that innovation is matched by appropriate attention to trust, security and responsible deployment.
For Humaxa, responsible AI is not an abstract principle. In regulated industries, AI outputs may influence engineering, compliance, customer service, HR and operational decisions. Humaxa therefore emphasizes accuracy, validation, traceability, data control and governance alongside the capabilities of the underlying models. Lisa strengthens that commitment to trusted enterprise AI.
Garry Saperstein
Security
Garry Saperstein brings senior technical expertise across enterprise architecture, cybersecurity, systems integration and technical delivery. His role strengthens Humaxa’s ability to operate in environments where AI must satisfy demanding requirements for security, reliability, data protection and integration.
For highly regulated engineering organizations, this discipline is essential. Humaxa’s approach emphasizes data security, role-based access, validation, traceability and controlled enterprise deployment rather than treating AI as an uncontrolled general-purpose tool. Garry provides the technical perspective needed to translate those requirements into practical architecture and implementation decisions
Cason Grover
Industry Expert
Cason Grover brings more than 21 years of automotive industry experience, including 15+ years in executive and senior management roles. His experience spans connected, autonomous, shared and electrified vehicles, product and technology planning, program management and operations. He has led organizations with P&Ls exceeding $100 million and has experience launching vehicle programs and advancing connected-car capabilities.
At Humaxa, Cason applies that industry experience to AI-driven business development and strategic consulting. He understands the engineering, product, supplier, program and commercial realities of automotive organizations—and helps clients identify where data and AI can improve operations, product strategy and decision-making.
Charles Nnamani
Client Success
Charles Nnamani focuses on the part of enterprise AI that determines whether a technically successful project actually creates value: client success, adoption and sustained use. He works with customers to ensure that Humaxa’s solutions are understood, adopted and aligned with the business problems they are intended to solve.
That customer-facing role is critical to Humaxa’s consulting approach. AI must fit the user’s workflow, produce trusted results and deliver measurable improvement—not simply demonstrate impressive technology in a pilot. Charles helps bridge the gap between implementation and business impact, supporting the transition from AI project to an operational capability.
Denis Barnard
Industry Expert
Denis Barnard brings deep expertise in HR technology, enterprise systems, business processes and technology implementation, with extensive experience selecting and deploying systems across local government, higher education, publishing, music and manufacturing. He is recognized as an expert in HR, payroll and HRIS selection and is the author of Selecting and Implementing HR & Payroll Software.
At Humaxa, Denis adds a critical business-process and enterprise-implementation perspective to its AI consulting capabilities. His experience helps organizations move beyond AI demonstrations to identify practical opportunities, integrate intelligent workflows with existing systems and processes, and drive adoption—particularly in complex enterprise environments.
Henock Desalegn
Development and Outreach
Henock Desalegn connects Humaxa’s technology with its market through digital strategy, web development, client outreach and customer engagement. He combines an understanding of digital trends and user behavior with a practical focus on communicating the value of AI clearly to prospective customers.
His work helps turn complex AI capabilities into accessible experiences that attract, educate and convert customers. From maintaining Humaxa’s digital presence to supporting outreach and communicating AI-driven business value, Henock serves as an important bridge between Humaxa’s technology and the organizations that can benefit from it.
Danilo Carneiro
Software Engineer
Danilo is a Software Engineer at Humaxa, where he develops intelligent software solutions that help organizations work more efficiently. His work focuses on building scalable, high-quality applications that support AI-powered products and enterprise solutions.
Salem Matusala
Marketing
Salem Matusala drives marketing, digital growth and demand generation, helping Humaxa build awareness in markets where enterprise AI is moving rapidly from experimentation to strategic investment.
Her role connects Humaxa’s technical capabilities with the needs, language and buying priorities of prospective customers. By building the brand, developing audiences and generating demand, Salem helps position Humaxa not simply as an AI software provider, but as a strategic partner for organizations looking to apply AI to meaningful business problems.
Investors
Backing the next chapter of Enterprise AI
We’re grateful for the investors who believe in our vision and support our mission to bring secure, intelligent AI to the world’s most regulated industries.
Partners
Stronger together
We collaborate with trusted technology, consulting, and implementation partners to deliver greater value to our customers and expand what’s possible with AI.
