Since our founding in 2014, we’ve been on the forefront of innovation in Enterprise AI with a deep learning technique known as Transfer Learning, an approach perfectly suited to the challenges of unstructured content. We’ve focused our efforts on lowering the barriers to entry for AI and accelerating enterprise success by requiring less data, time, expertise, and investment to get real business results.
Major enterprises have enthusiastically embraced the automation “imperative,” but to date most solutions only focus on structured data. However, by some estimates unstructured data – text, documents, emails, images, etc – make up as much as 80% of the content within the enterprise. This content is often the bedrock of critical business processes. Indico’s unique and powerful technology innovation is the perfect answer to this problem. Our customers capture huge improvements quickly and easily, enabling them to turn process into profit.
Tom Wilde, CEO
Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp, an enterprise video content management company. Tom also held senior roles at Fast Search, Miva Systems, and Lycos. He has extensive experience with company building and venture-backed startups and holds an MBA in Entrepreneurial Management from Wharton.
Slater Victoroff, Founder, CTO
Slater has been building AI, machine learning and deep learning solutions for the enterprise for the better part of the past decade having worked with everyone from the federal government to two-person startups to the Fortune 100. Slater has educated hundreds of business users in the successful implementation of deep learning through a simple framework that helps executives rapidly accelerate the adoption of the technology in their businesses. Slater attended Olin College of Engineering before pursuing Indico full-time after its acceptance into the Techstars Boston Program.
Madison May, ML Architect, CoFounder
Madison is the Machine Learning Architect at Indico where he has played a key role in developing the company's enterprise AI platform for unstructured content. Prior to joining indico in its early days, Madison designed and built an NLP system at Fetchnotes and was an active open source contributor to projects like Python3, Pylearn2, and Theano.
Diana Yuan, VP of Talent and Operations, CoFounder
Diana keeps Indico running on time and on budget. She oversees all operational aspects of the business including HR & recruiting, procurement & budget management, communications, and facilities & infrastructure. She helped found Indico out of Babson College where she studied technology, design and entrepreneurship and served as a mentor in the Foundations of Management and Entrepreneurship (FME) program.
Don Zereski, VP of Engineering
Don has always been on the forefront of technology. From early internet start-up companies like Tripod to the HERE Division of Nokia. Don has excelled at product strategy and building the platforms and applications that monetize that vision. Prior to joining Indico, Don held senior executive roles at oNotes, HERE - a Nokia company, MetaCarta, a pioneering enterprise local search company and Lycos, where he was responsible for revenue and product strategy. Don holds an MS in Engineering from WPI.
Alec Radford is a machine learning developer and researcher at OpenAI, a non-profit AI research company focused on discovering and enacting the path to safe artificial general intelligence. He is also one of the original co-founders of Indico along with Slater Victoroff, Madison May and Diana Yuan. Radford has been instrumental in important research and development work completed by OpenAI, driving huge innovations in machine learning. Indico has built on OpenAI’s work to enable users to apply it to a broader set of use cases.
Venkat Varadachary is former Executive Vice President for global information management and chief data & analytics officer for American Express. Varadachary spent 20 years at Amex where he was a member of the global management team and helped the company leverage data analytics to drive innovation, revenue growth and efficiency in the areas of marketing, digital programs, loyalty, servicing and risk. This included leading the transformation of Amex from using legacy platforms and analytics to a full big data and machine learning-based ecosystem. He also currently serves as a senior advisor at McKinsey & Company, and as advisor to Pine Brook Partners, Kapitus, Node.io, Terbium Labs, Simon Data and Augeo FI.
406 Ventures is an early-stage venture capital firm that invests in innovative information technology and services companies founded by the finest entrepreneurs. The firm’s veteran team of industry entrepreneurs, operators and investors apply real world experience, deep industry knowledge and networks, and strong company-building skills to create value for entrepreneurs and investing partners. 406 typically are the lead, first institutional investor in early-stage and de novo investments in market-changing companies and have been early investors in machine learning and data science. Sample portfolio companies include Bedrock Data, Business Intelligence Advisors, Reltio, Revmetrix, and Simon Data.
Osage Venture Partners focuses on early stage, business-to-business technology companies including analytics and artificial intelligence-based startups such as Automated Insights, BAInsight, SevOne, and Sidecar. With over $175 million under management, OVP seeks to invest in determined and creative entrepreneurs and provide them with the capital and support required to build high-growth, market-leading businesses.
Boston Seed Capital is an early stage venture fund investing in Series Seed companies. The firm focuses on consumer e-commerce, data/machine learning, and network/marketplace businesses. Sample portfolio companies include Humanyze, Altiscale, Shareaholic, and Flywire.
Hyperplane Venture Capital is a seed stage investment firm focused on exceptional founders who are leveraging machine intelligence, sensor technology, and cloud computing to solve the world’s hardest problems – uncovering the underlying structure for each problem and creating solutions at the nexus of perception, communication, intelligence, and insight. Sample portfolio companies include Curoverse, iSee, Empirical, Machine Metrics, Talla, and Tellus Labs.
Indico Data Solutions, INC.
186 South Street Ste 400
Boston, MA 02111