That’s why we provide information, technology, and product officers with strategic AI services they need to propel success and drive invention.
Automate and innovate company data to improve efficiencies, increase profits, drive revenue, and more.
Entity linking refers to the task of assigning mentions in documents to their corresponding knowledge base entities. This is a critical component in AI services for Intelligent Document Processing. Read more by clicking below.
This article explores the key market drivers behind AI-led innovation in the food processing industry. We discuss the industry’s changing landscape, including changes to consumer…
Wondering how your law firm can generate cultural readiness for digital transformation? We discuss how to determine your firm’s current level of cultural readiness, overcome…
The second installment in our series covering AI-led digital transformation for law firms, this article explores our research-based “do”s and “don’t”s for crafting a digital…
Over the next several weeks, we will publish a blog series expanding on the topics covered in this brief, addressing hopes, fears, and goals highlighted…
In this article, we review many of the variables and problems to consider with U.S. vaccine rollout, and propose several AI solutions that could make…
This article explores some of the biggest goals construction leaders hope to achieve and the pain points that keep them up at night. Finally, we…
The prevalence of repetitive and data-heavy tasks within the LT industry makes it well-suited for AI adoption. This article covers how AI will help craft…
In 2020, Synaptiq wielded AI and data science to advance inspiring ventures from accessible banking in Mexico to life-saving technology n the healthcare industry. This…
Like many industries, construction has had to adapt to a new reality in the wake of the COVID-19 pandemic. AI technology can help construction companies…
Manufacturers must put out a high volume of products in a short time-frame, creating a challenge: How can companies ensure product quality in a time…
Nudge marketing… Do you control your thoughts? Machine learning algorithms analyze data and return patterns, such as those found in human behavior. Using this ability,…
Thinking ahead to 2021? Artificial intelligence (AI) is among the most adaptable and advantageous business technologies available today. It can perform a remarkably broad range…
How BAL Uses Intelligent Automation to Deliver Exceptional Client Service In this case study, learn how BAL uses intelligent automation to deliver exceptional client service.…
How We Worked with DICIO to Build Powerful and Proprietary Identity Security When targeted by cybercriminals, simple passwords often fail to protect personally identifiable and…
How Farm Journal Used Data Strategy to Transform its Business With nearly 150 years serving the agriculture market, Farm Journal had an invaluable wealth of…
Using Machine Vision for Detecting Wildfires About 4.5 million U.S. homes are considered at high or extreme risk of wildfire. While wildfires mainly destroy unpopulated…
Read about how we used Custom Recommender Systems to help the Chief Technology Officer and product team at a corporate training solutions provider. Our client…
Our client planned to migrate millions of digital client-matter files to a DMS. Missing data would have required thousands of manual classification hours, so we…
Read about how we used machine learning to help the Director of Billing Services at a global leader for storage and information management services. Our…
Read about how we used machine learning to help the Chief Information Officer and project management team at a large US construction firm predict project…
Read about how we helped the Chief Technology Officer and product team at an electronic medical record company build an app prototype with a personalized…
Read about how we helped the Chief Information Officer at an IT services company perform flexible similarity-driven search and outlier detection in cybersecurity data. We…
Read about how we helped the Chief Technology Officer and product team at a nutritional supplement information provider build an application to intake PDFs, extract…
Read about how we helped a Chief Technology Officer and Head of Product for the automotive industry reduce hardcoded rules in their app by automating…
Data fuels AI services and solutions. To leverage data properly requires a PhD-level data scientist. To make it relevant to business requires experience and understanding.
Not every company needs or wants an in-house resource with this level expertise. That’s where we can help. Each engagement is led by one of our 16 data scientists, six of whom have PhDs. These researchers are adept at scoping technical architecture but always remain focused on the unique business goals of each client. This critical combination of abilities allows us to deliver proven value to our clients.
We take a consultative, strategic approach to partnering with each client, tailoring AI services and solutions to best meet their needs. We are here to make sure every company, regardless of size or industry, can leverage the unbeatable advantages artificial intelligence can bring to problem solving.
Founded in 2015, Synaptiq is a full-scale AI services consultancy. Our growing team of 25 professionals has backgrounds in management consulting, AI research and application, and product development and management. These seasoned experts partner directly with each client to identify and deliver unique and impactful AI services and solutions to real world problems AI services solve best. With over 40 clients in over 20 sectors worldwide to date, we are poised to lead the AI-revolution well into the future.
Stephen started his career at Ernst & Young LLP and has over 20 years experience as a management consultant and technology product leader at startups and public companies. He built and managed globally distributed teams, created productive partnerships, and led tech due-diligence for numerous technology acquisitions. He sold and delivered services and products to companies in technology, healthcare, financial services, entertainment, automotive and education industries. Most recently, Stephen was CTO / VP of Product at three innovative SaaS-based product companies using big data, machine learning, mobile and cloud technologies. Stephen’s business background is critical to delivering impactful AI services and solutions.
Stephen has a B.S. from Virginia Tech (Go Hokies!). Outside of delivering unique, AI services to clients, he enjoys spending time with his family, hiking with his dogs, and fly fishing.
Tim has 25 years of experience as a researcher and practitioner in Artificial Intelligence and machine learning. He’s published more than 150 peer-reviewed papers on topics such as time series analysis, sequence mining, natural language processing, relational and graph mining, medical informatics, and machine vision. He has extensive experience helping businesses extract value from their data, with AI services and consulting engagements in industries as varied as publishing, medicine, fraud, and geospatial analysis.
Tim’s an Oros Family Professor of Computer Science at the University of Maryland, Baltimore County, was a postdoctoral associate in the MIT Artificial Intelligence Lab, and has a Ph.D. in Computer Science from the University of Massachusetts, Amherst. Outside of work, Tim’s a father of two and an avid runner.
