Grace is a SaaS product that eliminates manual CRM data entry. Grace saves valuable time of the sales team and ensures that the data inside the CRM is always complete and up-to-date.

Today only 40% of sales reps time is spent selling, the rest of the time is eaten by admin work and updating the CRM. Keeping the CRM up to date costs companies on average $10,000 a year for every sales rep in direct costs and much more in opportunity costs.

Grace integrates with sales reps emails, calendars and sales tools and with application of custom triggers and machine learning algorithms Grace automatically keeps their CRM up-to-date for them. Grace decreases the time spent on CRM management up to 95% all while ensuring that the CRM is filled with most complete and recent data for the management to use. In the end, sales reps can spend more time on their main job and produce more sales.

We are applying Natural Language Processing, Machine Learning and Prediction algorithms to enter updates and a...
Grace is a SaaS product that eliminates manual CRM data entry. Grace saves valuable time of the sales team and ensures that the data inside the CRM is always complete and up-to-date.

Today only 40% of sales reps time is spent selling, the rest of the time is eaten by admin work and updating the CRM. Keeping the CRM up to date costs companies on average $10,000 a year for every sales rep in direct costs and much more in opportunity costs.

Grace integrates with sales reps emails, calendars and sales tools and with application of custom triggers and machine learning algorithms Grace automatically keeps their CRM up-to-date for them. Grace decreases the time spent on CRM management up to 95% all while ensuring that the CRM is filled with most complete and recent data for the management to use. In the end, sales reps can spend more time on their main job and produce more sales.

We are applying Natural Language Processing, Machine Learning and Prediction algorithms to enter updates and activities of sales reps inside the CRM. Our goal is simulating the actual interaction process with the CRM by analyzing and gathering insights from email, calendar and other sales tools.

From a technical standpoint, we are working on solving a wide range of complex problems:
- Data gathering, data matching, and data cleanup.
- Pattern identification in communication.
- Communication-based and event-based decision making.
- Unified data model that would allow Grace to be easily integrated with different CRM solutions.
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