AnswerDash
518 West Riverside Avenue, Spokane, WA, 99201, US
Overview
AnswerDash offers a SaaS-based contextual self-service help platform that delivers instant, context-sensitive assistance on websites and mobile apps. The product is designed to reduce customer support costs, increase sales conversion rates and provide insights into customers’ needs. The company is led by Dr. William Colleran, who was appointed CEO to accelerate growth. AnswerDash was recognized as a 2015 Cool Vendor by Gartner for its innovative CRM customer service and support solution. The company intends to use new funding to expand its sales and marketing teams and continue enhancing its SaaS offering. AnswerDash is based in Seattle, Washington. AnswerDash offers a cloud-based contextual help service that turns every word, image, or UI element on a web page into a clickable hotspot that surfaces relevant questions and answers. The system uses a line of JavaScript and the page's DOM to create hotspots in real time and a customized open-source natural language engine to match context to Q&As; answers may be text, video, links, or images. New user questions are emailed to the site, added to the AnswerDash database, and the company recommends prepopulating about 20 Q&As so visitor-driven questions form most of the inventory. The product integrates options for asking new questions and escalating to live chat or phone support, and a beta has been tested with selected companies. AnswerDash operates a subscription model starting at $79 per month based on usage, and initial customers include the US Green Building Council, PetHub, and Red Awning. The company raised $2.54 million late last year from Seattle-area angel and VC investors and grew out of NSF-funded research conducted in human-interface labs at the University of Washington.
- Total raised
- $8M
- Funding rounds
- 3
- Latest round
- Seed
- Latest activity
- Sep 2015
Industries
- Apps
- Artificial Intelligence (AI)
- CRM
- Customer Service
- Information Technology
- Messaging
- Mobile Apps
- Natural Language Processing
Recent funding
Seed
Sep 2015
$3M
Equity
Oct 2014
$3M
Series A
Dec 2013
$2M