The Next Generation
of Human-Driven Data.

AI Data Innovations — Global success through innovations

We combine human insight with innovative technology to address the pain points of the data annotation and collection efforts performed by global companies of all sizes

Innovation is in our DNA; we work faster, more efficiently, and produce the highest quality results.

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Data without Boundaries

Since 2011, we have provided human annotation services for a variety of machine learning approaches and applications. With a growing crowd of workers in more than 200 markets around the world, AI Data Innovations has resources as vast as nations and as localized as neighborhoods. When it comes to the applications for this intelligence, there are no boundaries. For an idea of the possibilities, here are a few examples of what we’ve done for some of the largest tech companies in the world.

Search<br />Relevance

Search Relevance

Evaluating relevance for:

  • Search engines
  • Ads engines
  • Multimedia retrieval systems
Social<br />Media

Social Media

Evaluating Social content for:

  • Newsfeed preferences
  • Hate speech monitoring
  • Moderation and Sentiment Analysis
Speech<br />Recognition

Speech Recognition

Full Speech support including:

  • Training data - Transcription + Segmentation
  • Ambient noise collections and filtering
  • Speech engine tuning
Location<br />and Maps
and Maps

Location and Maps

Provide location context–aware annotation for:

  • Route review
  • Data verification
  • Mapping accuracy
Linguistic<br />Services

Linguistic Services

Full linguistic services including:

  • Spelling and Autocomplete
  • Computational linguistics
  • Semantic annotation
  • Natural foreign language corpora
Augmented<br />Reality

Augmented Reality

Support includes:

  • Facial recognition data collection
  • Human gesture annotation
  • Image and Video labeling; Boundary box and categorization

Innovation + Human Insight

A devotion to continuous improvement through technology sets us apart. Our dedicated R&D team takes a disciplined approach to solving challenges through innovation. The outcomes of these creative solutions include:

  • Reducing the impact of rising labor costs

  • Strategies for producing more of the highest quality data, faster and within limited budgets

  • Identifying resources that require specialized skills or knowledge

  • Safeguarding your data anywhere in the world in dedicated data centers or in remote locations

Our Leadership Team

Patrick Jarvis

Patrick Jarvis

Chief Executive Officer/Chief Operating Officer
Tom White

Tom White

Chief Product Officer
Wenyu Wu

Wenyu Wu

Director of Research and Development
Helen Liang

Helen Liang

Business Development
Michael Hudson

Michael Hudson

Director of Delivery
Ronke Oluwadare

Ronke Oluwadare

Recruiting Director

Patrick has more than two decades of management experience, including 14 years in data quality. In his time before establishing AI Data Innovations, he was a senior vice president with responsibility for search, voice and AI-related data delivery for more than a dozen multinational clients on projects in more than 30 countries. He was also one of the founding members of the first Chinese social media monitoring companies. At AI Data Innovations, Patrick is responsible for the overall delivery of search, voice and facial recognition, and social media monitoring services. He is also responsible for the financial oversight of the company.

Over a career that has spanned almost 30 years—23 of them with Microsoft—Tom White has become an industry-recognized expert in search relevance solutions and the collection of high quality human generated data for machine learning. At Microsoft, Tom led the effort to bring large-scale human-based data collection to inform projects from small studies to massive data collection efforts. During this time, Tom developed a passion for the power of crowds that he brings to his role at AI Data Innovations, where he is responsible for product vision, strategy, design, development, marketing and business development.

As the leader of the research and development team at AI Data Innovations, Wenyu is responsible for setting the strategic research agenda, delivery and translation of these into tangible software and process solutions. In her experience working with IP project and process management, she has developed a holistic approach to IT management. Her extensive experience in the areas of digital processing modelling, business intelligence, and workflow system integration creates the intellectual environment that ensures the success of platforms across global dimensions.

With 14 years of experience in the technology industry and more than 5 years of experience in providing datasets services for Artificial Intelligence companies, Helen leads AI Data Innovations’ business development efforts. Before joining AI Data Innovations, Helen was the business development manager at HCL where she established a new consulting and implementation practice in Greater China. Prior to that, she was responsible for the sales of Oracle’s enterprise management systems.

With global project management experience and expertise in project lifecycle management, Michael is responsible for the delivery and management of AI Data Innovations’ managed and crowd services. With over eight years of project management experience in fields such as search relevance, machine translation, and text-to-speech derived services, Michael has built globally scalable teams to deliver enterprise and consumer solutions for large, multinational technology companies. Michael holds a Master's degree from the University of Nottingham.

As the recruiting team leader, Ronke oversees recruiting deliveries and ensures they meet the client’s requirements and expectations. By conducting regular follow-up with managers located around the world, Ronke determines the effectiveness of recruiting plans and implementation. Before joining AI Data Innovations, Ronke spent five years in global recruiting for large multinational technology companies.

Case Studies

Case Study

Supply specialized resources in over 200 markets in a short period of time

To expand its current city polygon data, our client required verification of...


Case Study

Securely gather a large quantity of audio data across multiple markets

Our client needed a trustworthy partner to transcribe and categorize a large...


Case Study

Provide business intelligence to identify strategic opportunities

Our client needed support to identify new strategic opportunities in a mature market.