Customized. AI-Powered. Embedded data science.
Customized. AI-Powered. Embedded data science.
50% of GTM leaders cite poor data quality and siloed data sources as persistent barriers to effective and accurate AI.
Robust data prep that leads to high-quality, well integrated data is hard and can seem inaccessible to most GTM teams.
e:cue is your dedicated AI data team that does the hard work of prepping your data for AI success.
We integrate, cleanse, and transform your messy, disparate GTM data into standardized schemas and predictive models that power insights to become your new source of truth.
sales : how can I identify a good customer earlier?
Most data stacks consist of various platforms—CRM, call recordings, email, and website data.
We extract, cleanse, and connect this data, creating custom metrics and predictive models to help your teams identify key customers and respond to early behavioral cues effectively.
marketing : who are the right (and wrong) customers for my business?
Creating an ICP for your business is challenging. Key customer data often lies buried in messy systems. We turn the customer journey into clear data points, revealing who your successful customers are and why—helping you optimize marketing and refine messaging.
management : what's my ROI?
We understand the challenges of long conversion and revenue cycles that complicate forecasting. We collaborate with you to identify early predictors of conversion, retention, and revenue in your existing data.
By operationalizing this data across key teams—marketing, sales, and finance—you align faster and boost confidence in your forecasts.
With over 20 years of hands-on experience in marketing, analytics, and strategy, Harsha has firsthand experience navigating both the obvious difficulties and hidden opportunities businesses encounter while leveraging data to build lasting growth engines. He spent 10 years in a variety of leadership positions at Capital One, where he was instrumental in building their approach to online marketing while overseeing digital marketing for the credit card group. He then spent over a decade at 2U, Inc., where he served in C-suite roles including Chief Marketing Officer, Chief Data Scientist, and ultimately Chief Revenue Officer.
Harsha enjoys advising and consulting across global sectors to help business leaders build data-driven marketing and revenue operations.
Abdel is a data engineer with extensive experience designing, building, and deploying scalable and reliable data pipelines that utilize generalizable data validators to guarantee high data quality. With over five years of experience as a data engineer, he has worked at early-stage climate tech unicorns and revenue-generating AI-driven fintech startups, helping startups rapidly transform complex datasets into actionable insights in high-stakes settings. His expertise spans data pipeline design, geospatial data analysis, and predictive modeling.
A seasoned and extremely technical data science leader with 10+ years of battle-tested experience, leading cross-functional teams of data scientists, ML practitioners, business stakeholders, software engineers, and SMEs across dozens of AI projects at four different companies, including Raytheon and Xactly Corp. Jeff has created seven different open-source projects relating to GenAI and ML, including a football game simulation that can be viewed publicly within his GitHub repo.
