Jonathon Reilly is an American technology executive, entrepreneur, product leader, and co-founder of Akkio, an AI platform focused on making machine learning, predictive analytics, and data intelligence easier for businesses to use. Akkio was founded in 2019 in Cambridge, Massachusetts, and Reilly is one of four founders alongside Abraham Parangi, Craig Wisneski, and Ekin Keserer.
Reilly's contribution to Akkio is best understood as a combination of entrepreneurship, product leadership, business strategy, and technical invention. He should not be described as the sole inventor of Akkio. The company's development was a collaborative effort involving its founding team and engineering organization. Patent records also identify Reilly as a co-inventor on Akkio technology related to dynamically generating machine-learning systems and natural-language data transformation.
Early Career and Engineering Background
Before becoming an entrepreneur, Jonathon Reilly developed a technical foundation in electrical engineering. He earned a Bachelor of Science in Electrical Engineering from Gonzaga University and later completed an MBA focused on Entrepreneurship and Entrepreneurial Studies at Babson College's Franklin W. Olin Graduate School of Business.
His professional career began at Sony Electronics, where he worked in engineering and product management. This combination of technical and product experience became an important part of his later career. Rather than remaining focused exclusively on engineering, Reilly moved toward understanding customers, products, markets, and business operations.
Experience at Sonos
Reilly later joined Sonos, where he held several product and business leadership positions. His work included product management for music players as well as global channel development and other product responsibilities.
His time at Sonos exposed him to the challenges of taking technology products from early development through large-scale commercialization. It also contributed to his understanding of user experience, product design, hardware-software integration, and customer-focused product development.
Reilly was also named as an inventor on multiple Sonos patents. These patents covered areas of consumer audio technology, including speaker behavior, playback systems, and other aspects of connected audio products. This provides evidence of a technical invention background that predates Akkio.
Markforged and the Path Toward Entrepreneurship
After Sonos, Reilly joined Markforged, an industrial 3D-printing company. He eventually became Vice President of Product and Marketing and was involved in the company's product and commercial development.
His experience at Markforged was particularly important because he worked closely with several people who would later become his Akkio co-founders. The future Akkio founding group included Abraham Parangi, Ekin Keserer, Craig Wisneski, and Reilly.
In an interview about his career, Reilly described his attraction to early-stage companies and the opportunity to work with highly capable teams. His experience at Sonos and Markforged gave him exposure to product-market fit, scaling, customer discovery, product development, marketing, and company operations.
The Origin of Akkio
Akkio was founded in 2019 in Cambridge, Massachusetts. The company emerged from a founding group with experience in technology, product development, design, and business operations.
The central opportunity was to make artificial intelligence and machine learning easier for ordinary business users. Traditional machine-learning workflows often required specialized data scientists, programming skills, data preparation, model selection, deployment infrastructure, and technical expertise.
Akkio pursued a different approach: allow business users to work with their own data and use machine learning through a simpler, low-code interface.
The company initially positioned itself as an AI platform that could help businesses use machine learning without requiring a large dedicated data-science organization.
The Founding Team
Akkio's founding team consisted of Jonathon Reilly, Abraham Parangi, Craig Wisneski, and Ekin Keserer. Their complementary backgrounds helped shape the company's approach.
- Jonathon Reilly — Co-Founder and product/business leader, later Co-CEO.
- Abraham Parangi — Co-Founder and Co-CEO.
- Craig Wisneski — Co-Founder and product/program leadership contributor.
- Ekin Keserer — Co-Founder and design leader.
The founding structure is significant because Akkio's development cannot accurately be reduced to the work of one individual. The platform represents the combined work of founders, engineers, product specialists, designers, and later employees.
Jonathon Reilly's Role at Akkio
Reilly's role evolved as Akkio developed. Earlier descriptions identify him as Co-Founder and COO, while other company materials describe him as a Co-Founder and Head of Product. Current Akkio leadership information identifies him as Founder and Co-CEO.
His contribution has included product direction, business strategy, operations, customer understanding, commercialization, and the broader vision of making AI accessible to people who are not machine-learning specialists.
His background in engineering, product management, marketing, and operations positioned him between technical development and business adoption. This was particularly relevant to Akkio's mission of translating complex machine-learning capabilities into tools that business teams could actually use.
Akkio's No-Code AI Vision
Akkio's early strategy focused on reducing the technical barriers associated with machine learning. Instead of requiring users to build machine-learning pipelines manually, Akkio sought to automate many of the technical steps involved in developing predictive models.
This approach allowed users to provide business data and define the outcome they wanted to predict. Akkio could then generate machine-learning systems intended to solve the specified prediction problem.
The idea placed Akkio within the emerging no-code and automated machine-learning market, where the objective was to give business analysts and other non-specialist users access to advanced analytical capabilities.
Technical Invention and Patents
Importantly, Reilly's involvement with Akkio includes documented intellectual-property contributions.
A U.S. patent application published in 2021, titled Methods and Systems for Dynamically Generating a Plurality of Machine Learning Systems During Processing of a User Data Set, lists Jonathon Reilly, Aperahama Parangi, and Craig Wisneski as inventors, with Akkio as the assignee.
The invention describes systems for dynamically generating machine-learning models based on user-specified data and tasks. The patent reflects Akkio's technical goal of automating parts of the machine-learning model-building process.
A later Akkio patent, Methods and Systems for Automatically Generating and Executing Computer Code Using a Natural Language Description of a Data Manipulation to Be Performed on a Data Set, lists Reilly among five inventors. The patent was granted in the United States in December 2025.
These records demonstrate that Reilly has been directly named as a co-inventor on Akkio-related technology. They do not establish that he personally created the entire technical system or invented all of Akkio's underlying machine-learning technology.
From Predictive AI to Generative Analytics
Akkio's product strategy expanded significantly as generative AI became mainstream.
The company moved beyond traditional predictive modeling toward generative analytics, natural-language data interaction, automated reporting, forecasting, and AI-assisted data exploration.
By 2023, Akkio was promoting Chat Explore, a generative-AI interface that allowed users to ask questions about data, identify patterns, generate analyses, and create charts and reports. The company also offered forecasting capabilities for areas such as sales, inventory, and marketing performance.
This evolution represented an important change in how users interacted with analytics. Instead of requiring users to manually construct every dashboard or analytical workflow, natural-language interfaces could become a front end for data exploration.
Funding and Growth
Akkio raised $3 million in seed funding in September 2021 in a round led by Bain Capital Ventures. The company described its mission at the time as automating decision-making for business users through machine learning and artificial intelligence.
In 2023, Akkio announced a $15 million Series A round led by Bain Capital Ventures and Pandome. The company stated that the funding would be used to accelerate commercialization of its AI platform and expand its generative analytics and predictive-AI capabilities.
Reported funding databases place Akkio's total disclosed funding at approximately $18 million across these rounds.
Business and Media Analytics
Akkio's positioning has increasingly moved toward media and marketing organizations. The company describes its current platform as an AI platform for media companies and emphasizes campaign planning, audience intelligence, measurement, reporting, and workflow automation.
This represents a strategic evolution from the broader early vision of no-code AI for everyday business users toward specialized AI infrastructure for media and marketing organizations.
Generative AI and AI Agents
The rise of generative AI changed the opportunity for companies such as Akkio. Large language models made natural-language interfaces practical for interacting with complex business information.
Akkio incorporated conversational analytics and generative reporting into its platform and has increasingly emphasized AI agents and automated workflows.
Current company positioning describes Akkio as an AI platform capable of connecting data, organizational knowledge, AI tools, and business workflows. The company's strategy increasingly focuses on using AI to support the complete media campaign lifecycle rather than simply providing isolated predictive models.
Jonathon Reilly's Leadership Philosophy
Reilly's public commentary consistently emphasizes practical AI adoption rather than AI as a purely experimental technology. His discussions of AI focus on connecting data and systems, reducing repetitive work, improving access to intelligence, and maintaining human oversight.
This perspective is consistent with his career as a product and operations leader. His contribution to Akkio has involved translating sophisticated AI capabilities into products that can be adopted by business teams.
Industry Impact
Akkio belongs to a broader movement toward democratizing machine learning and business intelligence. Its approach attempts to reduce the gap between data scientists and business users by automating technical processes and providing more intuitive interfaces.
The company's evolution also illustrates the transformation of business analytics during the generative-AI era. Traditional dashboards and predictive models increasingly coexist with conversational interfaces, automated reporting, natural-language data preparation, and AI agents.
Jonathon Reilly: Inventor or Entrepreneur?
The evidence supports describing Jonathon Reilly as both an entrepreneur and a documented co-inventor.
He is one of Akkio's founders and has held senior product, operational, and executive responsibilities. Patent records additionally identify him as an inventor on Akkio technology involving automated machine-learning-system generation and natural-language data transformation.
However, Akkio was not created by Reilly alone. Abraham Parangi, Craig Wisneski, Ekin Keserer, engineers, product specialists, designers, and other employees contributed to the company's technology and growth.
The most accurate description is therefore co-founder, product and business leader, and co-inventor of specific Akkio technologies, rather than sole inventor of the Akkio platform.
Legacy
Jonathon Reilly's significance in AI is closely connected to the effort to make machine learning practical for people outside traditional data-science teams.
His career combined electrical engineering, product management, marketing, operations, entrepreneurship, and technology commercialization. At Akkio, these experiences converged around a central idea: sophisticated AI should become easier for businesses to use.
Akkio's evolution from a no-code machine-learning platform toward generative analytics and AI-powered workflow infrastructure illustrates how that idea has developed alongside the broader AI industry.
Reilly's personal legacy should therefore be understood not as the invention of every technology within Akkio, but as his contribution as a founder, product strategist, executive, and named co-inventor of technologies that helped automate machine learning and make data intelligence more accessible.
Conclusion
Jonathon Reilly's journey to Akkio was shaped by more than artificial intelligence. His background spans electrical engineering, consumer electronics, product management, marketing, operations, and startup development. Experiences at Sony, Sonos, and Markforged helped prepare him for the challenge of building technology that could move from sophisticated engineering concepts into practical products.
At Akkio, Reilly became part of a founding team attempting to make machine learning accessible to business users. The company later expanded into generative analytics, natural-language data interaction, forecasting, AI agents, and media-focused workflow automation.
The strongest evidence supports a nuanced conclusion: Jonathon Reilly is a co-founder and co-inventor of Akkio who played important roles in product direction, business strategy, operations, and commercialization. Specific Akkio patents also document his involvement in technical inventions. But Akkio's technology and success are the result of a broader founding and engineering team rather than the work of a single inventor.
