Implisit Raises $3.3M For Self-Learning Service That Predicts Next Steps For Sales People

Implisit has raised $3.3 million from Gemini Israel Ventures for its self-learning platform that mines CRM data to help sales people close more deals and cut manual data entry.

The service connects email, calendars and the contact information in the CRM platform, said Co-Founder Gilad Raichshtain. It offers follow-up steps for a prospective deal, the best approach and other intelligence. Over time, the service adapts to the business processes, updating the intelligence as the users go about their daily work.

When a new customer joins Implisit, the service analyzes its historical sales data (both communications and their historical CRM data) to determine the customer’s specific sales patterns. From this, the engine creates tailor-made insights that fit the customer’s processes.


Implisit uses several methods for analyzing the data, including text clustering, machine-learning techniques to better understand reasons for deals success, natural language processing to analyze a deals’ unstructured text, and algorithms to classify data.

For example, one of Implisit’s customers is a top online advertising platform that had significant CRM data gaps, said co-founder Gilad Raichshtain in an email interview. Their 50 sales reps wouldn’t get around to entering their deals’ data, and the sales managers would have to query everyone to know what’s going on. Several hours after signing up for Implisit, they saw a four times increase in the number of sales activities logged in their CRM. Implisit registered missing business contacts and deals. The customer’s sales teams now have up-to-date visibility of their customer interactions in their CRM, while entering 50 percent less data manually, and each sales person is now managing  about 20 percent more deals.

Implisit is the work of Raichshtain and fellow Co-Founder Elad Donsky who are known in Israel tech circles as some of the brightest technologists of their generation. Both started university at the age of 15. At the age of 16, Intel hired Raichstain, making him the youngest engineer ever to be hired by the chip maker. Raichstain and Donsky also spent several years working in the Israeli prime minister’s office.

There’s a bounty of sales analytics platforms coming into the market. From one vector are the companies in the Hadoop ecosystem. The distributed computing technology is being used by companies like Hortonworks to manage customers, analyze email and social media, blog posts, click-through rates and other information. Inside Sales is a more direct competitor that uses predictive analytics to help serve inside sales professionals. Its algorithms are designed to tell the sales professional who to contact, when to contact and how to tailor the message for the sales target.

In comparison, Implisit keeps CRM interaction data automatically updated, with no need for human intervention. Using that information, Implisit improves sales efficiency and forecasting, Raichshtain said.

Implisit has some of the most brilliant people in tech building its service. It has packaged technologies that show it is on the cutting edge of development. The problem is there are more companies that also have the talent to do similar technology development. The challenge will be in differentiation. Analytics providers will offer their own version of how to best get the most out of sales leads. Some of the companies have very deep pockets, which is why the simplicity of this service is so important. If it really is as easy as they say, then that should be the way they influence others to use this advanced analytics service.

But the question becomes more about how it can differentiate in a field that is increasingly crowded with analytics providers.