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Revolutionary Entity Resolution API

The World's Most Deployed Entity Resolution SDK

The First Real Time AI
Purpose-Built for Entity Resolution

Implementing entity resolution used to be an expensive, grueling and endless marathon. Not anymore!

Accurate and Easy Entity Resolution
The Senzing API makes it easy for developers to add the world’s most advanced entity resolution with relationship awareness to their enterprise systems. Run the Senzing API on-prem or in the cloud. It comes pre-tuned and pre-trained and actively learns to deliver highly accurate results immediately.

A Radically Different Approach to Entity Resolution

Senzing entity resolution was more accurate than anything else we tried, and we installed it in one day.

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An AI with Real Time Learning

Senzing has created the world’s first real time AI that combines machine-learned domain-specific knowledge and real time learning. Our AI requires less work to prep and ingest your data because it’s self-tuning. The Senzing AI is accurate right out of the box, and it’s self-correcting and smart enough to change its mind about its past assertions in real time.

The Senzing real time AI delivers higher accuracy with substantially less effort than any other entity resolution technology.

AI = systems that act smart like humans and sometimes even smarter.
ML = systems that learn through experience.
Many AIs use ML, but they don’t have to.

Entity Resolution Isn’t An Endless Marathon Anymore!

With the Plug-And-Play Senzing API, You Can Be Up and Running in Minutes and Fully Operational in Days or Weeks

Senzing installs in minutes! We compiled decades of experience and years of feature development into a simple library for developers. After a quick installation, you can easily run the provided Senzing truth set and validate your results in minutes.

The Senzing API allows you to add industrial-strength entity resolution to your applications and workflows in as few as three API calls. Depending on your architecture and environment, you can deploy the API in various ways. For example, embedding it within your Python, Java, .NET, Go or C++ application or service, or deploying it as a REST service or Docker container.

At the Senzing annual user group meeting, the OpenSanctions founder mentioned Senzing-ready JSON was available. I messaged my colleague at work. He downloaded the file and ingested the records into Senzing – before the speaker finished the keynote. Senzing is that smooth and easy to operate.

 

– Tom

a Senzing user operating a
1B+ record Senzing system

Senzing api architecture deployment

Senzing invented principle based entity resolution. This breakthrough is unique and gives our API the ability to ingest new data sources easily without experts. Just map your data to the Senzing JSON format, ingest, and voila! you’re done. You’ll also find a growing number of data providers producing their data in Senzing JSON format, making the data instantly ready to load.

As Senzing is a simple developer library, we integrated it into our stack without having to replace end-to-end processes. Because of this we were up and running fast and with much less risk. No other commercial entity resolution engine is this clean to deploy.

– Jeremy Gardner

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The Senzing API runs on premises or in your cloud (public or private). Requiring just the Senzing link library and your favorite SQL database, complexity, security risks and potential failure points are reduced. You can upgrade to most new releases in minutes and receive unlimited technical support from seasoned entity resolution experts (with a minimum of 10+ years of experience) to accelerate your success.

Other entity resolution solutions require days or weeks to install, plus weeks or months to train and tune each data source to reach acceptable accuracy levels. Because of their very nature, most entity resolution systems grow into increasingly complex monstrosities, requiring dedicated experts forever. The Senzing API is our sixth-generation system and it starts working right out of the box. There is no other entity resolution technology with faster time to value or faster ROI (often in only a few weeks).

Senzing API Delivers

Unparalleled Accuracy

The Senzing API delivers higher accuracy than other data matching technologies when tested on real data at scale. Don’t let small, contrived tests fool you. This superior accuracy comes from three unique Senzing capabilities: Entity Centric Learning, feature-specific fuzzy matching with domain knowledge, and real time learning with sequence neutrality.

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Featured Capabilities of the Senzing Entity Resolution API

The first purpose-built real time AI for entity resolution

Entity Centric Learning™

The most accurate data matching technology.

True Real Time Operation

Move at the speed of online transactions.

Explainable Results

For the most trusted entity resolution decisions.

Principle Based Resolution

Go beyond limited, inflexible rules with principles.

Relationship Awareness

New insights from entity-resolved knowledge graphs.

Privacy by Design

No data flows to Senzing, Inc. and privacy is built in.

Entity Centric Learning

Senzing uses Entity Centric Learning to resolve new records with existing entities. Most other entity resolution systems perform record-to-record matching, which doesn’t perform well with messy data and is easily outsmarted by identity obfuscation because bad guys don’t always use the same information. So, if you’re hunting bad guys, Entity Centric Learning is a must-have.

Senzing Entity Centric Learning

Entity Centric Learning also delivers superior matching and non-obvious relationship detection. Originally perfected in Las Vegas to help casinos identify bad actors, Senzing Entity Centric Learning delivers unprecedented accuracy. Even with messy, incomplete, or intentionally obfuscated data, you can expect significant improvements in data quality.

Senzing revealed [Kenny R] was really [Mohammed X] because eleven other records created the glue that Entity Centric Learning used to conjoin these records together. Not believing Senzing, we spent one and a half hours [checking it], eventually proving the Senzing team’s explanation was correct!
– A UK Government National Security Customer

Explainable Results

As a real time AI purpose-built for entity resolution, Senzing delivers consistent and explainable results. Explainable means that with just a few clicks or keystrokes, you can easily see and explain to others the specific details of why a match was made or not made and the details of how an entity evolved.

Senzing Explainability Guarantees Trustworthy Data and Decisions

Be wary of entity resolution systems that utilize machine learning (ML) based data matching methodologies. With these systems, explaining why and how decisions were made is incredibly difficult or impossible which is not acceptable for compliance.

True Real Time Entity Resolution

Senzing entity resolution can ingest/resolve, query, delete and self-correct as data is received in real time. Simultaneously, Senzing can also ingest batch data (for example, historical or third-party data). This is virtually impossible with batch-based systems. Competitors may claim real time capabilities but typically only offer real time querying of batch based data that is already loaded. That’s not the same thing!

Senzing real time entity resolution typically delivers <200ms resolutions, so you’re always using the latest data when making critical decisions.

Senzing Real Time Entity Resolution

True real time entity resolution is especially important for fraud detection. For example, if a bank offers a bad actor who was flagged earlier in the day a new account, batch-based entity resolution wouldn’t flag the bad actor since the new data hasn’t been reloaded into the system to be resolved.

Together, IBM and Senzing deliver massively scalable, real time, actionable intelligence systems for mission-critical operations.
 – IBM

Principle Based Entity Resolution

Most entity resolution methods utilize inflexible rules that are hard to build and maintain. Senzing invented principle based entity resolution which operates on principles – generalized knowledge based on the expected behaviors of entity attributes. Principle based entity resolution makes Senzing completely unique in its ability to quickly ingest new data sources with ease by virtually eliminating the need for experts to train and tune the record matching.

Senzing Principle Based Entity Resolution

Senzing comes preconfigured with the attributes and expected behaviors of people and organizations, so you can resolve data right away.

Out of the box, Senzing entity resolved our data more accurately than the technology our team had spent 10 years building in-house.
– Point72

Relationship Awareness

Most entity resolution and data matching systems cannot recognize relationships. Senzing believes accurate and contextual entity resolution requires relationship awareness. Our entity resolution engine supports disclosed relationships (like corporate hierarchies and families) as well as non-obvious relationship awareness (NORA), which Senzing CEO Jeff Jonas invented.

Senzing Relationship Awareness Empowers Better Business Decisions

Relationship awareness is fundamentally important for building knowledge graphs and deploying analytics for fraud, as well as for customer 360, supply chain and perpetual vetting applications. It improves results by providing richer context and deeper insights from your data.

Senzing relationship awareness leads to better data matching, downstream analytics and graph visualizations, including entity resolved knowledge graphs.

Privacy by Design

Senzing has been dedicated to Privacy by Design principles since the company’s inception. In addition, Senzing is a locally hosted API and none of your data ever flows to Senzing Inc., unlike SaaS solutions which require you to share your sensitive data with others.

Senzing Privacy by Design Informs and Protects

Senzing Entity Resolution Use Cases

Detect and preempt bad actors, whether watchlisted or not, with highly accurate data matching and relationship awareness.

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Enhance data-driven investigations by revealing hidden networks and relationships.

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Fix your graph analytics and visualizations using advanced entity resolution with relationship awareness.

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Stay ahead of risks with continuous, real time assessment using data from new and evolving data sources.

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Elevate your ability to accurately onboard and continuously assess the risk of your customers and their relationships with perpetual KYC

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Entity Resolution: Build It or Buy It?

Building DIY entity resolution can take years. To be successful, a team requires an array of skills, including statistics, linguistics and performance engineering, plus a deep knowledge of entity resolution, its numerous edge cases and data quality issues.

Most organizations don’t have all this expertise in-house or the foresight to build in the flexibility required to adapt to unclear future requirements. Furthermore, if you build your own system, you will incur initial development costs that are much higher than simply licensing Senzing technology. Our customers consistently find that they save significant time and money using the Senzing entity resolution API rather than building and maintaining their own inferior technology.

If you’re considering building entity resolution technology in-house, try the Senzing API first.

Entity resolution is crucial software I’ve included in my ‘Don’t Try This at Home’ list. Although it may appear straightforward initially, it’s a complex problem…making [building it in-house] an unwise investment for most teams.

 

–  Ben Lorica

Low Initial Deployment Costs and Streamlined Operations

Senzing offers Smarter Entity Resolution™ which delivers a fast ROI and best-in-class low total cost of ownership (TCO). Install it in minutes and resolve data with unprecedented accuracy, speed and ease. Rapidly add new data sources without experts needed to tune or train the entity resolution, and never have to reload. Resolve billions of records of transactional workloads on commodity hardware or a few cloud services.

Some customers realize a full ROI in weeks while most organizations realize it within nine months or less.

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How Senzing Entity Resolution Reduces Costs

Fewer analysts are required as false positives are reduced by up to 90%
Engineering efforts to clean and prepare data are reduced by up to 85%
Up to one-tenth the cost of alternatives and support is always free

Watch Senzing CEO Jeff Jonas Explain Deliver Rapid ROI With Senzing Entity Resolution

Many organizations underestimate the cost of ongoing operations. With most of our competitors’ systems, adding a new data source is complex and costly due to the difficulty of onboarding data, tuning and training. Some systems require data to be reloaded regularly to maintain accuracy, which increases maintenance and admin costs.

Senzing allows data sources to be easily added and its accuracy doesn’t need to be trained or tuned. Many systems also require significant work when updating to new releases, while updating Senzing to most new versions (which happens every few months) takes just minutes and can be done while the system is running.

Senzing is a highly efficient, incredibly accurate and quick-to-market solution at a fraction of the cost.

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Get Started and See Your Results Today

Entity resolution is no longer an endless grueling marathon! With the plug-and-play Senzing API, you can be up and running in minutes and fully operational in days or weeks (plus we offer free support!). Try the Senzing API or schedule a meeting with one of our entity resolution experts.

Our team has decades of experience building software to solve the world’s most complex entity resolution challenges. We’ll help you evaluate your requirements and determine if Senzing entity resolution is the best technology for your situation. If we don’t think we’re the best option for you, we’ll let you know that, too.

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