ABOUTUpdated on: Sunday, 14 March, 2021
Valtrace uses artificial intelligence to value companies and predict future financials.
We trained and tested our neural networks on public companies, so we know it works well.
We use a illiquidity discount of 20% in our valuation estimates for private companies. We hope in the future to improve our estimate.
These networks can then be used to estimate the worth of private companies.
Value Trace Uses
Valuations can be used in a number of situations.
Venture Capitalists
If venture capitalists insist that the companies that they invest in have setup value tracability, and they gain access to the dashboard, they help both themselves and their companies make better decisions.
- Determining the value of the initial raise
- Clarify how well a funded company is doing
- Making it easier for funded companies to raise additional rounds
- Act as an influencer for a secondary market
- Help funded companies raise money in the form of debt
- Valuations for stock options
Private Companies
Private companies benefit from metric traceability. They often have long financial histories that can provide a good estimate of the company's value.
- Use for loans
- Use for sale
- Financial predictions
- Decision making
- Valuation for employee stock ownership plan
- Establishing partnership percentages
Site Technical Description
The static portions of the app are written in React and served with Netlify. Our API runs on AWS Lambda and uses Python Keras/Tensorflow for deep learning. Continuous deployment is accomplished with a GIT push. AWS Cognito is used for authentication. Company financial data is stored on AWS DynamoDB and GraphQL is used to pull from other data sources.
Contact
If you want to leave feedback or get in touch with us you can email us at: contact@valtrace.com
