Big-company customer intelligence, built for your business
The Customer Intelligence Agency for your whole business. Sales, marketing, and customer success need the same live view of every lead, visitor, buyer, and customer. Your web analytics, email, social, and support desk each hold a piece. We join them into one record in your lakehouse, add third-party data without handing over your customer list, and build the models that predict churn, upsell, and service needs. The largest companies have built these for years. You don't need to spend millions on data engineers and scientists, on top of more tools and software. For a $5–100M business, we build an agent-ready composable customer data platform sized to your needs, not overbuilt, on Databricks or Snowflake, and you own the data.
Customers tell you what they need. Are you able to listen?
Do you really know your customers? For the last 20 years, we've been surprised how often the answer is "apparently not," especially after we show them what they didn't know: pleasantly surprising opportunities, or segments they didn't know were leaving for a competitor. The strategy shifts first. Then it becomes clear how powerful a complete customer data platform can be: at the point of sale, in the call center, for the AI agent, and for the marketers.
And they need the help. Marketers drew on 15 data sources on average in 2022, up from 10 in 2021 (Salesforce, 6,000 marketing leaders). The average enterprise runs 897 applications, and only 29% of them are integrated (MuleSoft, 2025). 76% of CRM users say less than half of their CRM data is accurate and complete (Validity, 2025). 48% of companies say connecting customer data across channels is their main challenge (Twilio). All of these sources contain signal, but also a lot of noise, especially when they are not combined, on time and in real time.
Every interaction has a history and a timetable, with an intention and a purpose left behind. You probably know more about your customers than you think. We'll build you a platform where you can see it, and take action. A DataMind Diagnostic shows you what is already there.
One customer table, and the loop that keeps it useful
One complete record per customer, with history, in your lakehouse. CRM, billing, support, and web activity joined under one customer ID. All history, all interactions.
On top of it, segments and lifetime value: which customers stay, which grow, and which deserve the next offer. Private data masked, and all compliance requirements built in from the ground up.
Models are trained. AI agents are informed. Real-time pricing and discounts are optimized. Service history is summarized and upsells are recommended, all from the same data. You own the data, not your tool or workflow vendors: they are your customers.
The Complete System
Connect
After a Diagnostic and a reference architecture, managed connectors land CRM, billing, support, and web data, unchanged.
Secure
A clean data room for data from partners and data suppliers, with compliance and privacy built in.
Match
Data model and architecture. Match exact rules first, then machine-score matches your team can read and reverse.
Model
Segments, lifetime value, and recommendations, tested and continually recalibrated.
Activate
Segments and scores synced to live site, CRM and support, AI agent ready.
By industry
Questions it answers
Real estate
Which listing sources brought in tenants who stayed?
SaaS
Which accounts expanded, and what brought them in?
Payments
Which merchants hold several accounts under one owner?
Hospitality
Which past guests booked direct, and who deserves an offer?
Telecom
Which subscribers share one household across broadband and mobile?
Ed tech
Which districts use the seats they paid for?
Gov-tech
Which agencies run more than one of your products?
Any sector
Which customers are about to leave, and which deserve the next offer?
Proof you can check
We've been building customer data analytics platforms for more than 20 years. Banking, e-commerce, call center and online sales, technology, telecom, and education solutions. The work is led by a Databricks Certified Data Engineer Professional. Winner of the 2014 Marketing Impact Award for building a consumer analytics platform across Microsoft products and services: Windows PCs, Xbox, Office, and online services, augmented with Experian Mosaic and internal segmentation and product usage statistics.
On the business side: twelve years at Microsoft, lead data scientist to the CSO and CFO. Senior data leader in telecom and ed-tech. MBA, Economics, Entrepreneurship and Technology. MS, Data Science. We've worked in e-commerce, banking, ed tech, and telecom, and across nearly every kind of data provider, platform, and use case.
We build it, powered by AI with our network of experts: senior engineers, data scientists and security partners we have worked with for years, brought in as needed.
References
Row filters and column masks, Azure Databricks documentation, Microsoft Learn
Bring one customer question.
In a free discovery session we look at your customer data together and name the first list worth fixing. Want a fixed-scope first look? The DataMind Diagnostic measures your customer data and costs out the platform before you commit.