AI services and solutions powered by a team of deeply diverse and experienced professionals is the future of innovation.

That’s why we provide information, technology, and product officers with strategic AI services they need to propel success and drive invention.

Data
Strategy

Differentiate highly valuable data and structured and unstructured data sets to manage data as assets rather than byproducts of business activity.

Machine
Vision

Detect and track objects in immense stores of image and video data with machine-aided insight that penetrates to the pixel level and identifies inferences.

Natural
Language Processing

Efficiently leverage enormous amounts of verbal and written communication to make decisions.

Machine
Learning

Automate and innovate company data to improve efficiencies, increase profits, drive revenue, and more.

Intelligent
Document
Processing

A new, AI-driven approach to automated document classification and data extraction.

Custom
Recommender
Systems

Unique data, content, or user-based recommendations integrated into internal systems or customer facing products. 

Graph
Data
Embeddings

Transform real-world and relational data into graph data to expand the depth of information to drive learning models.

FEATURED TECHNICAL PAPER

A Context-Aware Approach to Entity Linking

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.

IDEAS, NEWS, & EVENTS ABOUT AI SERVICES AND SOLUTIONS

WHAT OUR CLIENTS SAY ABOUT OUR AI SERVICES

CLIENT CASE STUDIES

We provide information, technology, and product officers with strategic AI services they need to propel success and drive invention.

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.

MORE ABOUT OUR AI SERVICES

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 SKLAREW

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.