Participated · Equity · Dec 2021

Tethr is an Austin, TX-based AI-powered conversation intelligence platform that surfaces automated insights from customer conversations for listening enterprises. Its cloud-based, research-backed conversation analytics platform processes phone calls and other customer interactions to turn large amounts of unstructured conversation data into actionable insights for decision-makers. Customers use Tethr to accelerate smart decisions, improve business performance, and increase bottom-line growth. The company will use the new funds to accelerate investments in sales and marketing and to continue advancing its listening platform. In conjunction with the funding, software industry veteran Robert Beasley was named CEO; he began working with Tethr in 2015 and has served in several executive roles since that time. The leadership team includes Adam Larsen (CTO), Matt Dixon (Chief Research and Innovation Officer), and Steve Trier (Chief Product Officer). Tethr provides a cloud-based conversation intelligence platform that combines AI, machine learning and over a decade of customer experience and sales research to surface contextual insights from phone calls and other customer interactions. Customers are using the solution to turn large amounts of unstructured voice-of-customer conversation data into insights that improve decisions and business performance. The company completed a $15m funding round. The round was led by IAG Capital Partners with participation from existing investors GroTech Ventures, MissionOG and Falmouth Ventures. Tethr will use the new funds to accelerate investments in sales and marketing. In conjunction with the funding, early investor and Chief Operating Officer Gary Clark was named CEO while co-founder Mike Mings will take a corporate strategy role and continue to serve on the Board of Directors. Tethr provides a platform that combines artificial intelligence and human intelligence, leveraging customer loyalty insights from major consulting and research institutions to help companies gain business value from each customer conversation. The solution aims to give organizations a full and accurate understanding of what is said and meant by customers and employees during phone exchanges. It also enables companies to apply those insights to other engagement channels and business units via integrations with popular BI and CRM tools. Led by CEO Mike Mings, Tethr focuses on advancing key enabling technologies to support enterprise customers. The company plans to use new funding to build out its team, scale business operations, and expand sales and marketing efforts. Tethr recently raised $15M in Series A funding to support this growth.

Led · Seed · Aug 2020

CaliberMind is a Denver, Colorado–based B2B data platform that provides revenue analytics to help marketers scale their organizations. Founded in 2016 and led by CEO Eric Westerkamp, the platform connects to over 150 applications, including Salesforce and Marketo. Its system delivers insights across marketing and sales to drive go-to-market performance. The company plans to broaden its analytics scope to incorporate metrics throughout the full go-to-market motion. CaliberMind raised $8M in Series A funding and will use proceeds to grow its engineering team and focus on product development. It also plans to triple its go-to-market team with new hires across marketing, sales, and customer success in 2022. CaliberMind is a B2B marketing intelligence software provider that centralizes customer data for marketers. Its platform eliminates reporting silos and provides clean data to accelerate buyer-journey insights and help customers discover real return on marketing investment. Led by CEO Eric Westerkamp, CaliberMind helps B2B marketers optimize pipeline and revenue growth. The company plans to use the $2.0M seed extension to invest in product development and to scale go-to-market functions. The funding round was led by Newark Venture Partners and Falmouth Ventures. CaliberMind is based in Boulder, CO. CaliberMind offers a self-service audience targeting and data activation platform designed for B2B software companies to collect, enrich, analyze, and activate customer and account data. The product positions itself as a "digital brain and nervous system" for marketers, enabling diagnostics of data gaps, building 360-degree views of target accounts, refined campaign audiences, and multi-channel activation. It supports over one hundred one-click integrations and can update Salesforce in real time, alert reps via Slack, and retarget buyers on LinkedIn or Facebook. The company has strategic partnerships with data enrichment providers including Clearbit, FullContact, KickFire, Madison Logic, and Bombora. Customers named in the article include Apto, Datavail, Implan, and mParticle, and an Apto case cited a 15% decrease in cost-per-lead, 11% increase in MQL volume, and a 9% improvement in MQL-to-SQL conversion. CaliberMind will use new funding to accelerate product development, expand AI and machine-learning capabilities, and scale marketing and sales, and it recently announced two senior hires to support growth. CaliberMind is a marketing-technology platform that uses machine learning and human language analysis to build 360-degree psychographic buyer personas that predict buyer behavior. The platform connects to CRM systems and marketing tools (including Salesforce, Marketo and Eloqua), ingests voice and email conversations and scrapes web/social data to map buyers and prescribe content. CaliberMind targets midsize to enterprise B2B customers and reports shortening sales cycles by 20–30%; its roster includes Fortune 100 customers such as Citrix and NetApp. Implementation is publicly available and typically takes less than 30 days, with the product positioned at the mid-to-bottom of the funnel to improve conversion. The company plans to expand its data science team and accelerate sales growth, and says it will continue collecting psychographic data to improve predictive accuracy and prescription. The founding team and staff include former Israeli intelligence officers and veterans from NSA, Google and AdRoll.

Participated · Equity · Apr 2018

Node offers a horizontal prediction platform-as-a-service built on a patented deep learning technology the company calls "Artificial Intuition." The platform delivers predictions via a simple REST API and can be used standalone or integrated with third-party applications like Salesforce, Marketo, Zendesk, and Workday. Node positions its product to help companies gain advantages in market intelligence, resource planning, customer and talent retention, customer acquisition, and contact center automation, and it also helps users interpret the predictions so they can act on them. The company says its platform enables adoption of AI for businesses that lack data science expertise or large-data infrastructure and targets a market of over 100 million companies and the Fortune 2000. Since unveiling Artificial Intuition in July 2019, usage of the Node platform has increased over fourfold. Financially, the company announced a $6 million funding raise to help expand deployment of its AI capabilities. Node is a San Francisco, CA-based artificial intuition platform provider. The company has launched a SaaS-based automated machine learning platform that uses AI to help businesses deploy and scale both customer-facing and internal applications. Applications powered by Node deliver predictions to help users make smarter connections and decisions about engaging with customers, employees, investors, and partners. Node has been working with companies including Information Builders, Yesware, Nimble CRM, ConnectAndSell and Aventri. Led by CEO Falon Fatemi, CTO Louis Monier and new CPO Michael Radovancevich, the company will use the funds to continue to expand operations and its business reach. Node has raised $16M in the current financing and $36M in total to date. Node builds an AI-powered discovery engine that surfaces the people and information most relevant to a user. Its primary use case connects users to people they should be partnering with, which the company says has generated $200 million in revenue. Node plans to expand beyond people search to surface other relevant data inside organizations and across the web via a forthcoming next-generation release. To advance that roadmap it hired Louis Monier as Chief Scientist and Jeffrey Johnson as Chief Technology Officer. The company was founded in 2014 and has raised more than $21 million to date. Node builds a patent-pending AI discovery engine that automatically delivers actionable insights about people and companies to help customers identify who to engage and why. The company’s relationship graph contains over half a billion rich profiles, and it offers a native Salesforce integration so teams can discover prospects without changing workflows. Node spent 18 months in stealth working with select enterprise customers and is now making its discovery platform broadly available. It is currently focused on improving customer discovery for sales and marketing but says the technology can extend to recruiting and consumer use cases in the future. While in stealth Node doubled revenue in the prior six months and reports customers have generated nearly $103 million in total revenue from Node recommendations and optimized more than $4 billion in revenue. Customers recoup the cost of Node in as little as eight weeks, and the company cites examples of uncovering over $1 billion in new market opportunity for individual customers. Node builds a data intelligence layer that reorganizes information on the web to surface proactive, personalized recommendations tailored to individual users and businesses. The platform distills and filters massive amounts of web data to recommend relevant people and companies without requiring a search box, with an initial focus on B2B sales and marketing. Node is in stealth mode and is working with select enterprise customers as it scales its offering. The company announced an investment totaling $7.5 million to accelerate its go-to-market timeline. Future plans include expanding beyond B2B to B2C recommendations and recommending hires and company partners. The team includes former Google, Facebook and Wildfire engineers and NLP experts and is led by founder and CEO Falon Fatemi.

Led · Seed · Feb 2018

Joberate aggregates publicly available workforce data and applies machine learning to enrich it with proprietary metadata, including its patent-pending J-Score®, to measure online job-seeking behavior. The platform is used by organizations to improve talent sourcing, surface potential internal talent risk, and help identify and eliminate workplace bias. Joberate positions itself in the workforce analytics segment and highlights client use for elevated HR decision making and recruitment strategy. The company says leading organizations rely on its insights to attract diverse talent faster, improve engagement, and reduce voluntary attrition. Proceeds from the latest financing will be used to accelerate product development and expand the client base. Joberate has received recognition such as a Red Herring Top 100 North America award and coverage in the Washington Post and Harvard Business Review.