Blog
Announcing: Nitro Entity Resolution Platform Now Supports People, Places, and Things in Snowflake
October 1st, 2026 | 4 min read
October 1st, 2026 | 4 min read
Across an enterprise, the same People, Organizations, Products, Assets, and other business entities can appear differently in dozens of systems, with inconsistent names, incomplete attributes, duplicate records, and no shared identifier connecting them.
A customer in a CRM may be represented differently in a transaction system. A company may have different names across CRM, billing, and third-party data. A location may be represented differently across internal systems and external datasets.
Nitro resolves these entities across all of your data.
Nitro is an Agentic Entity Resolution Platform built as a Snowflake Native Application that continuously identifies, matches, and links records across disconnected datasets.
The quality of any business insight depends on consistent, accurate data. But across systems, the same company can show up under dozens of names with no shared key.
Consider the same company appearing across three systems:
To a human, it's likely these records likely refer to the same company. To disconnected systems, they're three separate entities. Without a reliable way to resolve them into one company, they never roll up together. The consequences compound quickly:
This is the problem Nitro solves. Nitro continuously links records across disconnected systems to establish a deterministic, de-duplicated data foundation, so every dashboard, forecast, and AI agent works from the same single source of truth.
Entity resolution requires reading the actual row-level data, not just metadata. That has traditionally meant moving product, customer, and transaction data out to a third-party service, with all the security reviews, egress costs, and duplicated storage that come with it.
The Snowflake Native App Framework changes that. Nitro's matching models, agentic workflows, and business review interface all run inside your Snowflake account. Your data never leaves Snowflake, and Snowflake's existing access controls, privacy protections, and governance apply to Nitro just as they do to everything else in your account.
In practice, running Nitro as a Native App means:
Access control, privacy, and AI guardrails are inherited from your Snowflake account. Nothing is copied out.
No VPC to stand up, no separate vendor environment to secure, no storage to pay for twice.
Nitro produces governed data products and semantic views that Cortex, CoWork, and your other AI workloads can share, eliminating the token waste of reconciling entities on the fly.
Nitro runs on the commitment you already have with a vendor you already trust, which streamlines procurement and security review.
Because Nitro lives alongside your data, there's no integration project to plan. Install the app, point it at your sources, and start resolving.
Nitro’s proprietary AI/ML models accelerate entity matching success with reduced computational/token spend
Continuously matches millions of records from disconnected systems with end-to-end visibility into each step of the resolution process
Empower the business to review, correct, and approve matches directly in Nitro, as needed. No IT/Engineering support required
High confidence, reproducible data to feed your AI and BI workloads. Eliminates token waste from on-the-fly reconciliation
The result is complete insights with no blind spots: accurate market share, revenue reconciliation, full spend and volume visibility, demand planning and forecasting, pricing and promotion analysis, and AI answers you can trust. Customers running Nitro are seeing:
Nitro's Snowflake Native App is available now on the Snowflake Marketplace. If you're a Snowflake customer with data that isn't rolling up the way it should, or your AI agent is giving inconsistent results, we'd love to show you what it looks like resolved.
Nitro is a Snowflake Native entity resolution platform. Nitro harmonizes data from disparate sources into a unified, deterministic, and trusted foundation, so AI can operate with row level context, move faster, and act with confidence.
Uncover the hidden insights in your data today.
