Best Identity Resolution Software

Tilores describes itself as one resolved data layer serving risk, Customer 360 and AI, and that third use is what sets it apart in this category. IdentityRAG applies entity resolution to retrieval-augmented generation, so an AI assistant answering a question about a customer works from one reconciled view rather than several conflicting records scattered across systems.

Beyond that, coverage runs through fraud detection, customer identity intelligence, KYC and compliance, anti-money laundering, master data management, supply chain intelligence, data compliance and knowledge graphs, across financial services, insurance, e-commerce, logistics, government, security and publishing. Two things make evaluation unusually easy here: pricing is published rather than gated, and Tilores Studio can be downloaded free to run entity resolution locally on your own machine before any commitment. The site is offered in English and German.

Senzing sells entity resolution as an engine rather than a platform, which suits teams building resolution into their own systems instead of adopting someone else's application. Its emphasis on explainability is the differentiator worth understanding: in fraud, KYC and public-sector work, a match that cannot be explained to an investigator or a regulator is often unusable, however accurate it is.

The stated approach is principle-based rather than purely statistical, combined with entity-centric learning, purpose-built AI and ML, relationship awareness and true real-time operation, so records resolve as they arrive rather than in an overnight batch. Agentic entity resolution has been added on top. Use cases run through fraud detection, data quality, knowledge graphs, perpetual vetting, know your customer, Customer 360 and public sector. Notably for this category, Senzing publishes pricing and offers a self-serve trial.

Tamr approaches identity resolution as master data management: the goal is a trusted golden record for each customer, supplier, product or provider, maintained continuously rather than assembled for one campaign. That framing puts it closer to the data-engineering end of this category than the marketing end.

Solutions are organised by the mastering job at hand, including Customer 360, CRM and ERP data unification, MDM modernisation with AI, healthcare data mastering and supplier data mastering. Data products cover B2B and B2C customers, contacts, healthcare providers and organisations, suppliers and products, with a stated emphasis on person-to-organisation relationships. Industries span financial services and insurance, healthcare and life sciences, manufacturing, retail and hospitality, and technology and telecommunications. The pitch against traditional MDM is complete master data faster and with less complexity; evaluation is demo-led.

The Zeta Marketing Platform is the execution layer of Zeta Global's AI marketing cloud, and identity is one component rather than the whole offering. Zeta Identity sits alongside Zeta Data, AI agents and AI orchestration, which means the resolved identity is intended to be acted on inside the same system rather than exported to a separate activation tool.

Athena by Zeta is the headline addition, presented as an agent for marketers built on proprietary data and contextual intelligence and integrated directly with the platform, with separate framings for brands and for agencies. The company has also announced a strategic partnership with Palantir. This is a marketing platform first: organisations wanting identity resolution for fraud, KYC or master data should look at the risk-oriented tools in this category instead. Pricing is not published; evaluation runs through a demo request.

FullContact resolves identity for marketing with a specific emphasis: recognising website visitors without relying on third-party cookies. As browsers have restricted that signal, recognising a returning visitor has become materially harder, and this is the problem the product set is organised around.

Those products are named for the job each does. Acumen identifies site visitors to reveal high-intent leads; Resolve unifies customer and prospect data and recognises visitors; Customer Recognition handles the cookieless identification itself; Enrich appends additional attributes to existing records; and Identity Streme manages, obfuscates and stores first-party data. Buyers are MarTech and AdTech platforms, brands wanting personalised but privacy-conscious experiences, and publishers engaging visitors regardless of subscription status. Pricing is not published on the homepage.

Quantexa treats entity resolution as a foundation rather than the product. Its Decision Intelligence Platform layers graph analytics over resolved entities, so the question shifts from whether two records are the same person to what the network around that person looks like. In financial crime work that distinction is the whole point: fraud and money laundering are visible in relationships, not in individual records.

Platform capabilities are stated plainly as data ingestion, entity resolution, graph analytics and Quantexa AI, with Q Assist and an Agent Gateway extending it toward agentic use. Customer services are positioned around building self-sufficiency rather than permanent dependency on the vendor, which matters for a platform of this weight. It is an enterprise product aimed at organisations with the data volumes and analytical maturity to use a graph properly; pricing is not published.

LiveRamp resolves identity for marketing purposes, which is a different problem from resolving it for risk or data management. The platform is built around data collaboration: connecting a brand's first-party data to publishers, agencies and media platforms so audiences can be activated and measured without raw customer records changing hands.

Its footprint across the ecosystem is the practical advantage, since identity resolution for advertising is only as good as the destinations it reaches. LiveRamp works with brands, agencies, publishers, data sellers and technology platforms, and recently added Meta to its Cross-Media Intelligence offering. Capability spans enterprise identity, consumer data strategy, media activation and optimisation, measurement and analytics, and data monetisation, with agentic AI orchestration layered over it. Unusually for an enterprise platform, a pricing page is published.

Amperity is a customer data platform centered on AI-powered identity resolution, combining deterministic and probabilistic matching across roughly 45 different algorithms to unify customer records from disparate sources into a keychain of identities. Its Customer Data Cloud adds industry-specific data modeling with lifecycle predictions, self-service reverse ETL and generative AI tools for non-technical users, Real-Time Tables for acting on streaming data, and a sandbox environment for safely testing changes before they go live, with full visibility into every data transformation.

Amperity recently moved to a consumption-based pricing model, where customers get full platform access and pay only for the features they use through usage units called Amps, with no up-front commitment required. Amperity does not publish specific prices; typical enterprise implementations take three to six months and involve annual contracts, with published estimates suggesting costs starting around $200,000 per year.

Reltio is a cloud-native master data management company based in Redwood City, California, known for its Reltio Connected Data Platform and data products like Customer 360 and Enterprise 360. The platform unifies fragmented data from source systems into 360-degree knowledge graphs, using AI-driven entity resolution, over 1,000 prebuilt connectors, and a generative AI assistant called RIA for natural language data exploration, alongside AgentFlow for automating governance workflows.

In March 2026 SAP announced it would acquire Reltio, and the acquisition closed in May 2026. Reltio is expected to become a core capability within SAP Business Data Cloud while also continuing to be sold as a standalone product for the foreseeable future. Reltio does not publish pricing publicly; prospective customers must request a demo or quote, and no free trial or free plan is offered.

Informatica's Intelligent Data Management Cloud (IDMC) is a cloud-native platform that unifies data integration, data quality, data governance and cataloging, application integration, and master data management. It offers a low-code Cloud Designer for building integration mappings, a large library of pre-built connectors, and the CLAIRE AI engine, which automates metadata tagging, mapping suggestions, and other data management tasks, including a conversational CLAIRE GPT interface.

IDMC runs across multi-cloud and hybrid environments with elastic, serverless processing, and it holds SOC 1, SOC 2, and FedRAMP certifications among others. Pricing is consumption-based, measured in Informatica Processing Units that scale with data volume and usage across services, and Informatica does not publish list prices; organizations must request a quote. A free trial of Cloud Data Integration is available for hands-on evaluation.