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Automatically retrieve purchases, flight confirmations, hotel bookings, car rentals & more directly from the mailbox with Nylas ExtractAI.
Embed email directly in your spend management platform. Extract data about the purchases that users make with Nylas ExtractAI to create seamless UX that makes expense claims easy.
Nylas ExtractAI connects directly to the mailbox to extract data only about purchases, orders and travel spend.
Purchases synced directly to your platform from 30,000+ merchants can be automatically added to reports for reimbursement.
Empower finance teams to see spend across merchants, categories, and users.
Nylas ExtractAI securely connects directly to user’s mailboxes to extract only the data needed to see a full picture of spending. Create a unified experience that brings all spending into one place.
Provider flexibility
Intelligence
Security
Fast sync
Scalability
One API integration for all major email & calendar providers (e.g., Microsoft Outlook, Gmail, IMAP).
Nylas takes the heavy lifting of filtering, data extraction, and normalizing with custom ML models and LLMs.
Email inboxes contain a lot of PII that increases the burden for security controls.
Sync & extract emails in real-time with Nylas ExtractAI, powered by ML & LLM’s.
Nylas ExtractAI uses custom ML models and LLMs to automate data extraction from 10,000+ merchants.
Individually integrating & managing each service provider is expensive and time-intensive.
Building AI models is time consuming and expensive, and off-the-shelf LLMs often hallucinate.
Only sync the data you need, as Nylas ExtractAI doesn’t store data & only sends structured data.
Forwarding emails or parsing PDF’s is time consuming & introduces friction to users.
Building custom models is resource intensive & requires large training sets, and using LLMs is expensive.
Discover the power of Nylas ExtractAI and extract up to 600 messages for free.
Nylas helps expense management and spend management platforms build and maintain integrations across multiple providers for email, calendar, and contacts. With Nylas, use a single API to integrate across providers such as Microsoft 365, Microsoft Exchange, Microsoft Outlook, Google, Apple, and all other major service providers.
Many organizations don’t factor in the total costs of communications integrations. Check out our savings calculator for a more detailed breakdown of email, calendar, and contacts integration and maintenance costs.
Nylas ExtractAI is powered by custom machine learning models and large language models (LLMs) that are fine tuned for performance and for your use case, and we support over 10,000+ merchants for extraction in multiple countries including the US, UK, Germany, the Netherlands and Sweden.
Nylas connects directly to your user’s email inbox through OAuth, which allows your users to specifically grant access to their mailbox through a Google or Microsoft verified application. Users grant consent to their mailbox, and they can delete it at any time. Nylas does not store customer emails after filtering and extracting relevant emails.
It’s important to demonstrate to your users how you’ll use their data, how it’ll power features in your application, and how they can benefit from that. Our team has experience in building authentication pages, and can guide you with suggestions on copy, workflows, and where to place authentication in your app – with one customer we were able to increase their authentication conversion from 8% to over 90%.
Users can connect their mailbox directly to your application through Nylas ExtractAI, so they don’t need to manually forward an email or manually set up inbox rules. Nylas syncs emails and extracts data from emails in real-time so there’s no delay between your user receiving a purchase email, and the data from that email being available in your BNPL application.
Nylas enhances AI features in your product by streamlining data extraction from emails and calendars, ensuring efficient, relevant data retrieval and secure handling with robust compliance standards. This aids in refining AI elements like chatbots, making them more human-like and efficient, thus freeing up agents for more complex tasks in your platform.