Altoida, Inc.
Classification
Private
Financials
Revenue & Profit
Valuation
Ratios
People
Deals
M&A2024-03-15Completed
Investor Sponsors NorthBridge PE | Stake Tags 100% |
Deal Amount $120M | Is PE deal Yes |
Target Company Valuation $1.20 MM | Is deal PE backed Yes |
Techniques Acquisition of Assets, Taken Private | Total Acquired 100% |
Investor Sponsors
Deal Amount
$120M
Target Company Valuation
$1.20 MM
Techniques
Acquisition of Assets, Taken Private
Stake Tags
100%
Is PE deal
Yes
Is deal PE backed
Yes
Total Acquired
100%
Secondary Transaction2023-09-01Canceled
Investor Sponsors -- | Stake Tags Majority |
Deal Amount Undisclosed | Is PE deal No |
Target Company Valuation -- | Is deal PE backed Yes |
Techniques Secondary Sale, Management Buy-out (MBO) | Total Acquired 65% |
Investor Sponsors
--
Deal Amount
Undisclosed
Target Company Valuation
NaN
Techniques
Secondary Sale, Management Buy-out (MBO)
Stake Tags
Majority
Is PE deal
No
Is deal PE backed
Yes
Total Acquired
65%
Funding
About
About
Altoida is a digital health company that develops AI-powered technology for assessing and monitoring cognitive function. By using advanced machine learning and augmented reality (AR), Altoida provides predictive insights for the early detection of neurological conditions such as Alzheimer's disease. Product/Service Line Breakdown Cognitive Assessment Platform: An AI-driven platform that uses AR and smartphone sensors to assess cognitive function through digital biomarkers. Neurological Disease Prediction: Tools designed to predict the likelihood of developing Alzheimer's and other neurological conditions based on cognitive performance data. Remote Monitoring: Continuous monitoring solutions that track cognitive health over time, enabling early intervention and personalized care. Data Analytics: Advanced data analytics that delivers real-time insights and reports to assist healthcare providers in managing cognitive health. Clinical Trial Support: Solutions that aid in clinical research, offering tools for cognitive assessment and data collection for neurological studies.
Keywords
Keywords
Classified
Private