improves the customer experience with privacy-preserving AI

How did an AI innovator turn its need for privacy into an engine for business growth?

(Spoiler: they doubled down on privacy, turning it into a competitive advantage.)

Client Context

Helping companies become more customer-centric operates an AI-powered consumer intelligence technology called the Trusted Signals Platform (TSP), which helps its clients better understand how website visitors behave. By augmenting client information with insights from the TSP, enables their clients to make more accurate and strategic decisions, engage with their customers more effectively and authentically, and improve the overall online customer experience. is intent on disrupting the data ecosystem in which AI is currently thriving, providing a safe and ethical way to use data. They believe that you can treat people well without compromising their privacy—and get great business results at the same time.

Business Problem

Ensuring privacy is protected in a machine learning and AI setting

While confident in the privacy of the TSP, insisted on getting expert validation of their processes. Within the TSP, doesn’t share data, but they do share signals. Signals are, essentially, insights about human behavior and intent, derived from aggregated sets of de-identified data. was determined to ensure privacy remained fully protected within the machine learning/AI context that produces these signals. This led them to seek an external expert possessing the necessary qualifications and capability to assess the models and signal exchange processes behind the TSP program.


Evaluating privacy protection in the TSP

When seeking an expert partner, the team at were impressed by the early conversations they had with Privacy Analytics and their deep knowledge of the kinds of things that can go awry when building machine learning models.

“Privacy Analytics has a strong reputation in the re-identification risk and de-identification space, signaling that they are a credible and trustworthy party to bring on board.”

Tyler Schnoebelen

VP of Special Projects,

For the team, Privacy Analytics has the rare ability to competently bring together industry-scalable machine learning AI architectures and the often-theoretical world of data privacy analysis. This allows them to figure out new categories of risk and apply them to a system that works in production – something not many organizations can do.

Privacy Analytics produced two deliverables for

  • A public-facing summary of their findings, assessing that the TSP is robust against privacy attacks, was found to have no inherent major privacy risks, and does not appear to increase the identifiability of any individuals.
  • An internal, highly-detailed report that allows to augment its own training and future development. This detailed report is designed to make sure that the company keeps doing the things that are important to privacy and considers other possibilities going forward.

Earning trust for a healthy business has increased confidence they’re delivering on their mandate of keeping people and their data safe through privacy.

Working with Privacy Analytics has helped to earn greater trust with its stakeholders, which is the bedrock for:

Driving Revenue can now communicate to customers that they don’t just have to take at its word, regarding privacy. They’ve had external experts come in and look at what they’re doing with the TSP. This level of due diligence is the foundation for attracting, retaining, and growing its accounts to realize revenue.

Reducing Costs

Privacy Analytics provided recommendations for’s near-future that were both practical and actionable. If implemented, they will save work and wayfinding in the years ahead.

Safeguarding Reputation

Privacy Analytics was able to test and apply cutting-edge hypothetical attacks and concerns on the real-world TSP, providing rare insight on best practices. now has a robust document it can use to communicate its corporate position on privacy (and how implementing it actually works) to its entire team – especially the technical departments. As a result, their team knows what dangers to look for and which pieces of the puzzle are necessary to keep information private. All of which is essential to help continue to earn its strong reputation.

Archiving / Destroying

Are you unleashing the full value of data you retain?

Your Challenges

Do you need help...


Value Retention

Client Success

Client: Comcast

Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.


Are you achieving intended outcomes from data?

Your Challenge

Do you need help...


Unbiased Results

Client Success


Situation:’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.


Do the right people have the right data?

Your Challenges

Do you need help...


Usable and Reusable Data

Client Success

Client: Novartis

Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.



Are you empowering people to safely leverage trusted data?

Your Challenges

Do you need help...


Security / compliance efficiency


Client: ASCO’s CancerLinQ

Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.


Acquiring / Collecting

Are you acquiring the right data? Do you have appropriate consent?

Your Challenge

Do you need help...


Consent / Contracting strategy

Client Success

Client: IQVIA

Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR. 



Are You Effectively Planning for Success?

Your Challenges

Do you need help...


Build privacy in by design

Client Success

Client: Nuance

Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.


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