Digital Insight Games Raises $7.5M in Series A Funding

Digital Insight GamesWeb3 developer and publisher based in Los Angeles (CA), elicited $7.5M Series A funding. Griffin Gaming Partners and Hivemind Capital led the round, along with Hunt Technology Ventures and RSE Ventures and Signum Growth Investments. The company plans to use the funds for growth and expansion. Currently, they are looking for developers, artists, marketing/community, Web3/blockchain technology, and publishing talent. Digital Insight Games was founded by Jack Sheng, and Jon Van Caneghem. It is a Web3 Games company and an independent publisher and studio that produces interactive entertainment products. Its goal is to create a Web3 AAA-level experience with a tech platform that enables next-generation in-game digital economies using blockchain technology and NFTs. This company is pioneering the Games-as-a-Service 2.0 (GaaS/Live Services 2.0) roadmap. It includes Free-to-Play 2.0, GaaS/Live 2.0, online marketplaces and NFT/blockchain gaming. DIG is a remote-first, decentralized company that has regional bases in Vancouver, Los Angeles, San Francisco and Austin.




Gateway to News Africa! | All about Startups and Entrepreneurship.

Recommended from Medium

3 Reasons Cloud Gaming Is The Future

Why eSports Are Still Set To Grow

Why Microsoft Will Kill Xbox Hardware

Ultiverse & Electric Sheep

Strategic Partnership — Epic Meta partners with Ulti Arena to prepare for Esports Initial NFT…

The logo of Epic Meta and Ulti Arena can be seen

Fandom, Harassment, and Mistaking Criticism and Creation

Building a sleeper gaming PC

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Explode Africa

Explode Africa

Gateway to News Africa! | All about Startups and Entrepreneurship.

More from Medium

Exploring a Philly Honeypot Pt.1/3

🎇Pay for Your Education in DSCPL Tokens!🎇

Prim’s Minimum Spanning Tree