Powerful AI for next-generation research

Thea’s advanced AI puts qualitative insights at your fingertips in less than a second.

Search like you’ve never seen it before

Thea is an artificial intelligence built by Intrinio that enables rapid, state-of-the-art comprehension of large volumes of text.  

Leveraging next-generation Natural Language Processing/Understanding technology, Thea reads and understands content in a human-like way to answer questions about companies.

How Thea Works

Neural networks

Thea allows massive amounts of unstructured text to be vectorized using an ensemble of cutting-edge neural networks. These numeric vectors represent the meaning inherent in the text.

  1. Questions are asked in English and Thea vectorizes the meaning of the questions
  2. The vectors of the text and question are compared numerically to return the answer or ranked answers from the text that most closely match the idea of the question
  3. The answer includes a specific portion of the text as well as the larger context and a link to the full document for further reading
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Natural language processing

Thea leverages extremely recent advances in natural language processing. Cutting-edge NLP techniques, combined with machine learning advancements, allow Thea to comprehend text at the level of a college graduate.

It’s more than just AI enhanced search or keyword matching and expansion. Ask semantic questions and get real answers – leveraging qualitative insights that have historically been difficult to uncover.

Insight from millions of documents

Thea has access to nearly 30 years of SEC documents for all US public companies, with significant plans for expansion.

  • 10-Ks, 10-Qs & 8-Ks

  • Correspondences

  • Special disclosures

  • Notes

Thea is entirely dataset agnostic - integrate any natural language dataset into it (even your internal data) and enjoy the same fast, powerful search.

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Answers API & datasets, powered by Thea

Thea powers our Answers API – search-as-a-service that allows you to rapidly Q&A millions of documents. The Answers API is white labeled, so you can build any type of UI over it for internal or external querying.

The API also comes with out-of-the-box datasets derived from Thea, including human rights challenges, sustainability, beliefs, and more for S&P 500 companies.

Ready to get started?

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We supplement standardized and as-reported financial statement data for US public companies with calculations, news, IPOs, and more.

Options Data

Get high-quality real-time and delayed option data through advanced access methods without building an expensive in-house infrastructure.

Getting Started with Intrinio

Get a high-level overview of what we offer and what to expect from our sales process
Request a Consultation
What is Intrinio? 

Intrinio is a full-service financial data technology partner. We help businesses of all sizes license financial data such as market data and fundamentals into their internal or public-facing applications.  

We grow with you, investing in your success with a dedicated customer success team, marketing services, and responsive technical support. From our data sourcing program to our integration support to our modern access methods and beyond, we take the pain out of your financial data experience.

What can Intrinio do for me?

We provide real-time, intraday, EOD, and historical market data; real-time and delayed US options data; and standardized and as-reported US fundamentals, supplemented with company metadata, news, IPO information, insider transactions and ownership, and institutional holdings. We can also leverage our extensive partner network to match you with providers for other datasets like international market data, ETF data, mutual funds, and analyst estimates. 

Our data is available through flexible delivery mechanisms tailored to your needs, including our powerful, easy-to-use Web API, WebSocket API, CSV downloads, FTP, Snowflake direct database access, and AWS. Plus, you’ll get built-in ticketing, US-based chat and email support, and developer assistance to make integration as smooth as possible. 

What is a consultation?

We encourage prospective Intrinio customers to request a consultation with our team. A consultation is a 10- to 20-minute call with one of our sales development representatives.

We ask a few questions about your business, timeline, and data needs. The consultation ensures that Intrinio is a good fit for your business before we move forward. 

Why would I want one?

Intrinio has matched thousands of clients with the right financial data. A consultation puts that expertise to work for you. It’s a simple way to find out if Intrinio can provide the right data, format, licensing, and coverage for your use case.

You’ll want a consultation if you:  
a) have a serious business need for financial data, and  
b) don’t want to spend days sifting through marketing material and technical jargon. 

What happens after a consultation?
  1. If we can help your business, we schedule a 30- to 60-minute follow-up call with our product specialists to begin developing your customized solution architecture. 

  2. After the sales call, we send a proposal detailing the solution architecture discussed with associated pricing.

  3. Once you sign off on the proposal, we set up a 2-week trial period. Our CTO hosts an initial trial kick-off call to help your technical team get started and is available to answer all of your questions over the trial period. 

  4. If you confirm during the trial that our solution meets your needs, you'll simply need to sign the contract to begin our long-term partnership.  

  5. Our customer success team facilitates account creation and begins with the official onboarding process.

  6. We provide ongoing support via:

    • a ticketing system for technical issues and US-based live chat
    • direct email and phone access to your customer success manager
    • technical support from our CTO and engineering staff
    • data sourcing services from our business development manager
    • marketing and promotional initiatives with our marketing team
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