Participated · Series C · Apr 2020

Anodot provides Autonomous Business Monitoring that uses patented machine learning algorithms to monitor metrics, detect anomalies in real time, and correlate related anomalies across the business. The platform is used by customers including Vimeo, Atlassian, and T‑Mobile. Anodot says customers can reduce time to detection by as much as 80%, helping safeguard revenue, reduce operational costs, and improve customer experience. The company was named by Forbes as a Top 20 Machine Learning Startup to Watch. Anodot is headquartered in Israel and Silicon Valley with satellite teams worldwide and serves Fortune 500 customers in finance, telecommunications, and digital enterprise. Investors and company commentary indicate a roadmap from autonomous monitoring toward more advanced forecasting tools. Anodot provides an autonomous, time-series anomaly-detection platform that monitors business operations against user-defined KPIs. It ingests normalized data from customers' systems, learns normal behavior across time-based metrics, and detects deviations without manual configuration aside from defining what is important. The platform can map and track thousands to tens of thousands of KPIs per customer — for example, an eCommerce company with 1,000 products in 50 countries could generate 50,000 KPIs. Anodot positions itself as analogous to application performance monitoring but focused on business systems, alerting on drops in conversions, spikes in costs, and other business-impacting events. Founded in 2014, the company has 70 employees and about 100 paying customers, including Atlassian, T Mobile, Lyft and Pandora. Under current economic conditions the CEO says the company will be cautious on hiring while continuing to sell the product as a cost-saving tool; financially it has raised $62.5 million to date following a $35M Series C. Anodot, founded in 2014 and based in Ra’anana, Israel, uses automated machine-learning algorithms to continuously analyze business data, detect the incidents that matter and correlate causes across multiple data sources. Its platform serves customers in fintech, ad-tech, web and mobile apps, with named customers including Foursquare, Lyft, Microsoft, Upwork and Waze (Google). Over the past year the company more than tripled its revenues and is preparing for further expansion in 2018. The company plans to use new funding to open offices in London and APAC, grow its US team, and invest in sales, marketing and customer success. Co‑founders include CEO David Drai, Ira Cohen and Shay Lang. Anodot offers a SaaS platform that leverages machine learning and real-time streaming data to identify, report, and visualize business incidents as they occur. The product is aimed at Business Intelligence analysts and operations teams to help manage crises and uncover opportunities. The company launched and, within nine months, secured dozens of customers, including several Fortune 500 companies. Anodot intends to use the new funds to expand global sales and operations. Co-founded in 2014 by David Drai, Shay Lang and Dr. Ira Cohen, the team includes executives with prior roles at GetTaxi, Trustwave and HP. The company is based in Ra’anana, Israel and has raised $12.5m in total funding to date. Anodot exited stealth with a real-time anomaly detection solution that uses patented machine learning algorithms to challenge static business intelligence. Its platform is data-agnostic and automates the discovery of outliers across business and operational data, isolating issues and correlating them across multiple parameters in real time. The product is designed to pinpoint performance issues and surface business opportunities to increase operational efficiency and maximize revenue. Anodot targets ad tech, e-commerce, IoT and manufacturing customers and is already in production with dozens of organizations, including Avantis and Wix. Founded in June 2014, the company is based in Sunnyvale, Calif. and Ra’anana, Israel. It plans to use new funding to accelerate its product roadmap and expand sales activity in the U.S. and EMEA.

Participated · Series B · May 2018

Tailor Brands provides AI-driven tools that automate logo creation and other branding and marketing services for small businesses. The company is assembling components into a one-stop SaaS platform that delivers design, branding and marketing capabilities to help owners launch and scale. Headquartered in New York and Tel Aviv, Tailor Brands is onboarding some 700,000 new users per month and says more than 30 million businesses have used the platform. It began monetizing offerings at the end of 2019 and reported triple-digit annual revenue growth. The company plans to use new funding for R&D, to double the team, build additional capabilities and pursue potential acquisitions. Tailor Brands aims to leverage its data to proactively guide customers through next steps and create an integrated ecosystem where users can manage their business without leaving the platform. Tailor Brands automates branding and marketing for small businesses by applying machine learning to logo design, copywriting, and social media strategy. CEO Yali Saar positions the company at the intersection of design and machine learning, with automated logo creation as a flagship feature. Users can try creating logos for free but must pay to access high-quality image files. The technology has been used to create 45 million logos; the company reported 3.86 million customers last year and is adding roughly half a million new businesses to the platform each month. Tailor Brands launched at TechCrunch’s Startup Battlefield in 2014 and plans to use new funding to expand globally, add more languages, and introduce additional tools to its full branding suite. The company has raised a total of $20.6 million to date. Tailor Brands offers an automated branding service that generates logos, promotional materials, and social media campaigns using machine-learning models. CEO Yali Saar aims to automate the full-service branding agency by combining design best practices with algorithmic generation. The company employs an interdisciplinary team of engineers and designers who are required to learn the intersections of design and machine learning. Tailor Brands collects high-volume behavioral data — users create a new design every 1.5 seconds — which Saar says can surface macro trends in design and branding. Pricing ranges from $24 to $99 per package, and the company also offers a $9.99/month subscription plan. The product has improved since its 2014 beginnings but still exhibits occasional design faults. Tailor Brands uses algorithms to generate logos and a range of branding items, including business cards, bags, mugs, pens and online materials such as social media profiles for small businesses. The site lets users download logos for free and offers unlimited free revisions while monetizing via higher-resolution images and designed asset packages. Paid offerings start at $24 for a single job and go up to $99 for a complete package; the company provides design files but does not print or ship physical cards. Tailor Brands launched in beta at Disrupt San Francisco and has done business in over 35 countries since that launch. The company raised $1.1 million in seed funding from Disruptive Fund and various angel investors to build out its automated design process. CEO Yali Saar said the funds will be used to hire more designers and expand services such as app design as the team experiments with additional offerings.