Anodot
1. Category : Analytics, Artificial Intelligence, Big Data, Business Intelligence, Machine Learning
2. Domain : Data analytics
3. Founders : David Drai, Ira Cohen, Shay Lang
4. Established : May 1, 2014
5. Number of Employees : 51 – 100
6. Operating Status : Active
7. Funding status : Early Stage Venture
8. Website : www.anodot.com
9. Country : Silicon Valley and Ra’anana (Israel)
10. Latest in News :2018-2019 Global FinTech Markets forecasts to 2024 – Major Players are Baixin Bank, Fidor Bank, Monese, Affirm, Amazon, PayPal, Paytm, Friendsurance, Anodot, and GoodData.
Anodot is a data Analytics platform focuses on advanced machine learning techniques to constantly analyze and correlate every business parameter, independently detects and correlates anomalies and forecasts business in real-time alerts in their context, lowering time to detection and resolution.
AI has been lasting over popular thought for decades and these algorithms are designed specifically to quickly identify the source of anomalies in large data sets, and perform root-cause analysis.
Humans can create a tool that ends up being smarter than us. This data Analytics is essentially anomaly pattern detection and explication system and uses an ensemble approach to identify as many anomalies as possible within a given dataset.
David Drai CEO of Anodot said with big data, the challenge is how to find the right insight, or in many of our use cases, the right business incidents in the data.
Anodot’s software identifies the anomalies and attempts to determine which are important but its then up to the user to correlate and verify how serious the anomalies are. The users feed their data and it helps to diagnose a problem, but it does this without any context, where it doesn’t understand the meaning of your data.
The software also avoids false positives by filtering out low-impact anomalies and currently isn’t designed to create predictive models.
Drai identified three verticals where they’ve had the most success; all of the three have worked on;
- Adtech, where they are tracking data on the impressions on a site, clicks, and revenues.
- E-commerce, where they are measuring total sales, website latency, conversions, active users, and metrics of that kind over time.
- Fintech, where companies are tracking transactions through payment gateways, transaction errors, payback, chargebacks, latency, checkout failures, and similar metrics.
Few success was detecting fraud, which makes sense given that Anodot is anomaly detection software.
