You’ve got data. We’ll help you to use it correctly.

A business is only as good as its data. Whether you’re ramping AI initiatives, engaging new markets, launching new products, or accelerating research & analysis, the value of what you get out is based on the data that you put in.

The challenge is that not all data is created equal. It comes with different rights, obligations, quality, and applicability, and today that complexity is only getting worse. Like a CRM lets you deal with the complexity of engagement to enable sales, we’ll get you through the complexity in your data to unlock business value.

What does it mean to use data “correctly”?

Short version: it’s complicated.

Data comes to your platform from users who agree to Privacy Policies and Consents, from partners who have signed B2B Contracts, and from services in regulated ecosystems. Data is used and shared, under the terms of Contracts, Consents, Privacy Policies, and myriad Laws and Best-Practices that vary across locales and verticals.

It’s this framework that defines what’s “correct” or “compliant” for any given platform, and the associated complexity that’s between you and the full value in data. If you can’t ensure that data was used correctly, you open yourself to massive risk. If you automate correct use, however, you unlock AI, advertising, new products or markets, and other opportunities.

How does Tranquil Data ensure that data is used correctly?

You deploy our software into your platform as a single source of truth for Data Context. Context captures where data came from, why you have that data, how data connects to users or organizations, and the policy framework that defines correct use.

Data context empowers Tranquil Data to provide transparent, real-time decisions and reactions (like flagging actions or redacting fields) from within common data flows and patterns. Many existing products let you document policies and requirements, or give you the tools to implement one dimension of access. Only Tranquil Data lets you capture the full policy framework in one service that enforces and audits use and sharing at-scale.

Who uses Tranquil Data?

Tranquil Data starts by shifting ownership and implementation of policy from technical teams to the legal and privacy roles that know the policies best. A User Interface is provided to let those teams capture the full framework, making it simple for engineers & data ops roles to be compliant without needing to know the details of policies. It’s a massive gain in productivity all around.

Our software is used by these teams across verticals. This includes Health & Life Sciences (with support for FHIRv4, HIPAA, Clinical Trials, and Affirmative Consent), Finance (designed for PSD2, MiFID, and data residence), Supply Chain and IoT (providing full support for the EU Data Act), and Enterprise SaaS (GDPR, COPPA, B2B Contracts, etc.).

Our software is adopted by companies from pre-seed to the F500. The inflection point is when companies need to show investors, executives, and/or customers that they can sign new terms, expand to new regions, or monetize data in new ways. We enable legal and technology teams to align on and green-light those business opportunities quickly with mitigated risk.

How do I get started?

Unlike typical security services, knowledge graphs, or data catalogs that require you to map your complete platform before you start to see value, Tranquil Data is designed to let you to start with something self-contained. An API endpoint, a set of high-value contracts, a data exchange, an application, or an AI flow are common starting-points. It takes less than a day to get the software running with your core policies, and in the first week legal and engineering alike will see value back in productivity and streamlined communication.

Want to see first-hand how this works? Reach-out and we’ll give you a demo, explain the onboarding process, and even set you up with a guided pilot if you’d like. We’re here to make sure that you can execute with confidence on any business opportunity as it presents itself.

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