About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

n-Tier Blockchain-Based Reference Data Consensus Solution Aims to Drive Down Errors and Costs

Subscribe to our newsletter

As reference data volumes continue to soar, bringing with them huge data cleansing, validation and management costs, financial institutions are beginning to consider collaborative solutions that can improve data accuracy while reducing cost. n-Tier, a New York headquartered company that helps firms ensure accuracy and completeness of reference data, has joined the party with a consensus-based reference data blockchain solution.

The solution uses a private blockchain to establish consensus across firms on key data elements and aims to reduce reference data errors and costs. The model is similar to that of the DANIE consortium that is bringing financial institutions together to improve the quality of their client reference data by benchmarking data with peers without revealing data sources and with encryption.

The key difference is that the n-Tier offer is integrated with the firm’s Compliance Workbench platform, which allows data differences between both data owners and data consumers to be identified on the blockchain, resolved on the platform, and integrated back into in-house reference data.

n-Tier founder and CEO, Peter Gargone, says: “The n-Tier consensus solution is driven by customer interest in leveraging technology across the industry. Everyone we talk to spends a tremendous amount of time trying to ensure they have accurate reference data, but they are all doing the same work, trying to keep the same key reference data elements up to date. Working with our customers it became clear that if we could connect firms through an anonymous and secure blockchain they could all benefit from each other’s efforts, saving everyone a lot of time and money.”

The company is currently talking to its customers about the reference data types they would initially like to compare on the blockchain, perhaps LEI, KYC or security data, and hopes to have the solution up and running in the next month or so. “The first users of the blockchain will probably be our current Tier 1 and Tier 2 customers that already use our infrastructure. For them, this is a plug in.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities...

BLOG

73 Strings QnA: Solving Post-Investment Data Challenges for Private Markets

Paris-based startup 73 Strings was established to modernise the data and valuation infrastructure for private market participants. Data Management Insight spoke to founder and chief executive Yann Magnan about the company’s operations and its ambitions. Data Management Insight: Hello Yann, when was 73 Strings created and how does it serve financial institutions? Yann Magnan: We...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...