About Us

We are on a mission to help the social sector organizations to scale their impact, increase their outreach and improve their operations using artificial intelligence (AI)

What we do

We help nonprofits and social businesses deepen their understanding of machine learning technology and help identify opportunities and challenges that can be addressed using AI. We then work together to collaboratively implement custom-made AI-driven solutions to address their needs.


Our Team

Maria Dyshel

Co-Founder & CEO

Maria has been working on the intersection of technology and social impact for the last decade. She held a variety of AI research, engineering and management roles in diverse industries, from autonomous vehicles to pharma.  As a social entrepreneur and nonprofit practitioner, Maria has co-founded and co-led numerous social projects in public health, environment, education and community development, and have worked with non-profits and communities in Israel, US, Ethiopia and India.

Hobson Lane

Co-Founder & CTO

Hobson has more than two decades of experience in a broad range of industries solving automation and machine learning problems for corporate labs like Northrop Grumman, Intel Labs, and Sharp Labs as well as startups like TalentPair, DeepCanopy, Mindcurrent, and Aira. Hobson led the writing of the best-selling book Natural Language Processing in Action and uses it to develop diverse engineering talent on open source projects which contribute to the greater good.

Relying on a network of expert partners

To ensure project excellence and holistic approach to serving the client’s needs, a multidisciplinary team of experts is assigned to every project. Our international network of experts in machine learning and data science, user experience, behavioral change and conversational design comprise a group of professionals with diverse expertise and deep commitment to social impact.

Our guiding principles

  • We tell you when you don't need us
  • We find the most affordable option to solve your problems
  • We put people and processes before technology