AdaptiLab
Facts
- HQ
- Seattle, USA
- Sectors
- Recruiting, AI, HR Tech, Machine Learning
- Total raised
- $1.9M SEC Form D filings Total of this company's SEC Form D filings
- Last round
- $250K · Jun 2021 SEC Form D
Tignis raises $1M from BMNT, exits H4XLabs and launches PAICe AI product suite for semiconductors, oil & gas and energy
Seattle startup Tignis, which builds AI/ML tools for manufacturers, smart buildings and utilities, raised $1 million from BMNT and completed BMNT’s H4XLabs accelerator while launching its first commercial PAICe product suite focused on semiconductors, oil and gas, and energy. Founded in 2017 by former VMware executives Jon Herlocker and Matt McLaughlin, Tignis has 20 employees and has raised $7.4M in angel and seed funding to date.
CoderPad acquires Seattle startup AdaptiLab’s technical interviewing platform as founders James Wu and Allen Lu launch a new developer-focused company
Seattle startup AdaptiLab has sold its technical interviewing platform to CoderPad; terms were not disclosed. Founders James Wu and Allen Lu, who raised $1.8M in a 2019 seed and $2.2M total, are launching a new developer-focused company later this year with existing and new investors.
Jane Zhang’s Remmie Health launches at-home ENT monitor after son’s repeated infections; raises $100,000+
Seattle entrepreneur Jane Zhang founded Remmie Health after her toddler suffered repeated ear infections, developing an at-home ear-nose-throat (ENT) monitor that captures images and video for telemedicine consultations. The startup has secured over $100,000 in initial funding, plans to sell the device and share telemedicine revenue, and aims to be a household brand for ENT self-care.
AdaptiLab Raises $2M Seed Round to Help Tech Companies Hire Top Machine Learning Talent
AdaptiLab, a Seattle-based AI-driven startup founded by James Wu and Allen Lu, helps tech companies efficiently hire top machine learning talent. The company has raised $2 million in a seed round led by Trilogy Equity Partners to address the costly and complex challenges in hiring skilled ML engineers.
