Named Entity Recognition
Identify people, locations, and organizations within a body of text.Explore
Introducing Primer EnginesLearn more
Assemble your own NLP solutions with our world-class pre-trained engines. Our rigorously trained engines are performant, scalable, and fast. Engines come with a plug-and-play API to quickly integrate with your unique applications and workflows, both in the cloud and on-premises. With our engines at work, you can instantly and confidently scale your business and operations.
Get started instantly with a plug-and-play API.
Deploy performant, fast, and scalable industrial-grade NLP to your business.
Get access to groundbreaking engines trained and tuned for specific domains and data.
Understand output, rationale, and how the model will behave on your data.
Orchestrate engines in robust pipelines for high-scale document processing.
Rapidly customize models for your unique data and workflows with Primer Automate.
Finance professionals use Primer Engines to gain deeper insight into investment opportunities, risks, and trends to get that extra edge that will maximize their returns.
Companies integrate Primer Engines into their applications and systems to embed powerful NLP into products and services, improve customer relationships, and monitor brand perception.
National Security organizations rely on Primer Engines to reveal unknown patterns and connections between people, organizations, and locations, automatically generate entity profiles, and detect disinformation activity faster.
Engines are pre-trained, proprietary models built with Primer’s state-of-the-art NLP (Natural Language Processing), NLU (Natural Language Understanding), and NLG (Natural Language Generation) technology. Engines enable humans to automate their reading and writing tasks at scale with human-level precision and discover insights that were previously impossible to find.
Engines support a wide range of applications. They are used by decision-makers, data scientists, data analysts, subject-matter experts, and operators across government and commercial verticals. What these users have in common is that they need to rapidly derive meaningful insights from massive amounts of text-based data to improve their situational awareness, business processes and products, and operational decision-making.
Engines can be deployed in the cloud or on-premises, depending on the company’s business needs and the scale of its data landscape. Primer offers managed cloud hosting to customers, or customers can choose to host Engines on their own cloud or on-premise infrastructure. Following deployment, customers use Primer’s APIs to quickly integrate the engines into their preferred workflows.
Using its internal team of 60+ Machine Learning engineers, Primer has developed a suite of Engines, built on state-of-the-art transformer model technologies. Primer Engines exceed the performance of competitor models while enabling new tasks and use cases, thanks to our custom modeling approaches and our significant investment in high quality, labeled data for specific use cases.
Our engines are pre-trained models that you can immediately use by integrating them into your existing workflows. Using Primer Automate, you can easily customize Engines on your data and for your unique workflows without any prior knowledge of ML.
Primer Engines are trained on diverse data sources by design to minimize bias. Information on the training datasets is available to you for review, and you can reach out to our sales team to learn more.
Yes, Primer Engines are designed to work seamlessly with each other. For instance, Primer‘s Sentiment Analysis engine can efficiently triage and classify a massive cache of documents into those showing positive and negative sentiments. You can deploy the Primer Summarization engine on top of the extracted content to derive summaries of each category. Or, you can use Primer Automate to integrate Engines with your own custom-built engines.
Primer consistently leverages state-of-the-art security tools and platforms to ensure your hosted data remains safe. To ensure data privacy, Primer only stores data transiently until it completes the request.
Developers can access an API to quickly integrate Engines into your enterprise. The API can be used with a single cURL statement and from any programming language. Primer API does not need any special libraries for programming languages. They make standard HTTP calls across multiple engines.
Any software developer should be able to help integrate Engines into the company’s workflow with Primer’s API documentation. Once you make a call to the API, the service handles the machine learning required to analyze the text.
For starters, you will need to address these basic questions:
The Primer team is ready to support you throughout your NLP journey. To learn more, contact us here.
The Primer Engine API consists of HTTP(s) requests and JSON responses. Requests to Engines are standard HTTP calls that can be made from the command line or using the tools available in your chosen programming language or development framework. The JSON response contains the keys and values that the engine derived for the provided input. For example, if you make a call to the Summarization Engine, the response is a JSON object that contains the key “summary” and the resulting summarization.
Yes, we offer an on-premises solution for Engines. If you select this option, our Solutions Architect will work closely with your representative to design and implement the most appropriate solution for your environment.
To get started, please contact our Sales team for a demo of Engines on your data and applications.