deep learning Startups
4 case studies with real revenue and traction data from deep learning startups.
Boost Insider is a SaaS platform founded by serial entrepreneur Heidi Yu in late 2014 that helps brands identify and work with influencers through advanced data analysis of 350,000+ influencers covering 20 billion fans globally. The company operates multiple revenue streams including a SaaS product (Social Book, Social Hours), advertising platform (10-30% take), and agency services, generating over $500k monthly in total revenue with the new SaaS model at approximately $50k MRR as of December 2017.
Veeamly is a priority workspace SaaS that consolidates collaboration tools like Slack, Jira, and Zendesk into a single desktop app with an AI-powered prioritized feed. Founded in mid-2017 by Emno Gariani and CTO Ramzi, the company was pre-revenue at the time of this interview with ~100 free beta users showing strong engagement (4 hours/day average usage). The team had raised $200K from angels and a seed accelerator (The Refiners) and was fundraising an additional $500K to reach product-market fit and launch paid pricing in April (Q2).
Skyhive is a machine learning-powered competency discovery tool founded by Sean Hinton that helps enterprises understand workforce capabilities, identify skill gaps, and create upskilling pathways. Launched in April 2017, the company scaled from zero to 17 enterprise customers generating ~$85k/month in revenue through inbound leads and the Singularity University network. The company raised $1.5M CAD in seed funding and expects to reach profitability in Q3 2019.
Stitch Insights helps consumer brands measure customer preferences at granular product attribute levels across their entire category, not just their own brand. Founded in 2018 by Dimitri Pavlov with co-founders Dr. Hannes Heikstad and Dr. Angel Schwartz, the company charges $10,000 per month per channel (Amazon, Twitter, etc.) and recently transitioned from POC-based revenue to annual recurring contracts with under 10 enterprise customers, reaching under $700k ARR and targeting $1.3M ARR by Q1 next year while raising $3M Series A.