extend

extend

Software Development

New York City, New York 2,053 followers

About us

Unified document processing platform. Turn messy documents into high quality data, achieve unmatched accuracy, and ship custom document pipelines in days.

Website
https://www.extend.app
Industry
Software Development
Company size
11-50 employees
Headquarters
New York City, New York
Type
Privately Held

Locations

Employees at extend

Updates

  • extend reposted this

    View profile for Erin McCune, graphic

    Partner @ Bain | Global A2A, Wholesale & B2B Payments Expert | Advisor to Payment Companies, Banks, and Corporations | Fintech Strategist | x Glenbrook Partner | I love to read and I am learning to row

    I've keep saying that LLMs will enable us to (finally!) automate all the stubbornly manual processes in the back office. But the new AI language models are also going to enable us to dramatically improve the tools we already use such as OCR. Check out this post by Kushal Byatnal at extend (the image below is his, but I added the annotation): https://lnkd.in/gJJM9jU7 Exciting times, indeed.

    • No alternative text description for this image
  • extend reposted this

    View profile for Ishaan Agrawal, graphic

    fullstack @ Extend (YC W23) - we're hiring!

    I solved 2304 Leetcode questions. People always say "you'll never use Leetcode at work" but at extend that's not true at all! We work on AI document processing infrastructure and use algorithms in our work ALL. THE. TIME. In the past 4 months, I've implemented: 1) A folders feature so our customers can organize their data. Internally, this is structured as TreeNodes and uses a lot of recursive tree logic. I genuinely felt like I was doing Leetcode medium tree problems for a week straight (which I loved). 2) The Hungarian cost-matching algorithm to efficiently pair up AI-extracted data with human-labeled data in O(n^3) time for arrays. 3) Recursive merging and conversion logic to calculate accuracy metrics for our document processor tooling. Where have you used algorithms in work? PS: We're hiring for engineers across the board. We comp extremely well (up to $250k + equity) and are based in NY: https://lnkd.in/df_kkbvU We also have a $10,000 referral bonus!

    • No alternative text description for this image
  • extend reposted this

    extend (YC W23) just launched a unified document processing platform to turn messy documents into high-quality data, achieve > 95% accuracy, and ship custom document pipelines in days, not months. While there are plenty of OCR and document parsing options on the market, customers still struggle to deploy complex use cases when accuracy requirements are high (> 95%). This is because OCR and parsing is only one part of the problem, and real-world use cases need to bridge the gap between raw outputs and production-ready data. Extend uniquely solves this by unifying models, infrastructure, and tooling into a single platform for end-to-end document processing. They enable technical teams to: - Process any document format with state-of-the-art parsing powered by VLMs and OCR - Capture precise data with multi-step extraction powered by semantic chunking, bounding boxes, and citations - Tackle the most complex use cases with processing modes for document parsing, classification, extraction, and splitting - Deploy faster with low code tooling that empowers your entire team to iterate, review results, and improve accuracy - Build trust with built-in evaluation and benchmarking tools - Continuously improve results with fine-tuning pipelines that turn reviewed corrections —> custom models Congrats on the launch Kushal Byatnal and Eli Badgio! 🚀 https://lnkd.in/g2CpaGfR

    • No alternative text description for this image
  • View profile for Kushal Byatnal, graphic

    Co-founder & CEO @ Extend (YC W23)

    Last quarter, we closed 6-figures in ARR within 2 weeks from a single tweet. Here's what happened: A few months ago, I tweeted about processing a 91-page PDF with nested tables and handwriting. Something clicked w/ doc processing twitter — 500K impressions and hundreds of signups later, our calendars were overflowing. The phone booth basically became my second home. Every person on the team stepped up to handle demos. We were running on a combo of coffee and pure adrenaline. Here's the thing about sudden growth spurts: they stress test everything. Our sales and onboarding process got pushed to the breaking point, but that pressure forced us to evolve. We now have a completely dialed-in process that can handle 10x this volume. Looking ahead, we have a simple formula to follow: 500K impressions → 6-figures in ARR within weeks....what happens when we scale that up to 100M impressions? You can do the math 📈

    • No alternative text description for this image
  • View profile for Kushal Byatnal, graphic

    Co-founder & CEO @ Extend (YC W23)

    Looking through old photos while preparing for our offsite, I found this picture of our first real office. It made me think back to the early days, and how we shipped our way out of 2 pivots... There's only one piece of advice for getting out of pivot hell: focus on validating problems quickly. We moved lightning fast — going from 0 lines of code to onboarding our first customer in 48 hours, then closing a 6-figure ARR deal two weeks later. Looking back, my favorite memories from those early days: - Showing up at a potential customer's office (who was ghosting us) with the best croissants in SF to convince them to use our MVP 🥐 - The day we moved into this office and putting up the "make something people want" poster - Scratching down our initial pricing structure on the back of a napkin over lunch Feeling immensely grateful to the early customers and team that took a chance on us, and couldn't be more excited about the road ahead!

    • No alternative text description for this image
  • View profile for Kushal Byatnal, graphic

    Co-founder & CEO @ Extend (YC W23)

    Just wrapped up extend's 4-day offsite in Puerto Rico! After a huge year (ARR & usage volume 📈📈), we got the team together to plan our next chapter of growth. A few highlights: 1/ Ambitious 2025 goals — after 15x'ing revenue last year, we're doubling down on what's working by leaning into technical & AI teams as our core ICP. We also identified a few ways we can pour gas on the fire (stay tuned for a big product announcement later this quarter 🤫). 2/ Reaffirming our culture — I spent time sharing Extend's founding story with the team, reliving the early days from navigating the idea maze to signing our first customer. We talked about the ups and downs of the journey, and how at the end of the day, customer obsession is the only north star we can rely on. 3/ Of course, we couldn't leave without celebrating — we hiked in the rainforest, got morning coffee by the beach, stayed up late playing Catan, and explored Old San Juan. Offsites are a good reminder that, even though we may be heads down shipping features and processing millions of documents, startups at the end of the day are just about people — and this team is the best one I've ever been a part of. Back in NYC and I'm feeling energized and ready for our biggest year yet. Let's get it 🔥 P.S. We're growing quickly and hiring senior engineers in NYC who are excited about building the future of unstructured data processing. DM me if interested!"

    • No alternative text description for this image
    • No alternative text description for this image
    • No alternative text description for this image
  • View profile for Kushal Byatnal, graphic

    Co-founder & CEO @ Extend (YC W23)

    At the end of the day, customer feedback like this is what makes the tough moments of building a startup all worth it. Checkr is a legendary YC company, and we're thrilled to have them onboard as a Extend customer. Checkr processes millions of background checks, and they needed a reliable way to extract data from complex documents without constant maintenance overhead. Using Extend, they're able to focus on innovating their core product instead of managing document infrastructure. We're helping more companies like Checkr transform their document operations. If you're dealing with complex documents at scale, DM me and let's chat!

    • No alternative text description for this image
  • View organization page for extend, graphic

    2,053 followers

    View profile for Kushal Byatnal, graphic

    Co-founder & CEO @ Extend (YC W23)

    We grew revenue 15x last year to 7-figures in ARR with a small team, and we're looking for extraordinary engineers to help us scale even faster. We're hiring for multiple roles in NYC with a $10k referral bonus for successful hires! Here's why you should join us: - We're building the next generation document processing platform — the market for document processing has expanded 1000x due to LLMs, and existing solutions are all low NPS - We have a product loved by users and being used in mission-critical flows at companies like Chime, Flatiron Health, Brex, Opendoor, Checkr, and many more - We're supporting customer and revenue metrics with half the team size of other startups, so everyone joining at this stage will have outsized impact - You'll be joining a talent-dense founding team (think: former founders, world record holders) tackling novel problems at the intersection of LLMs & complex data processing - We have a low valuation with extremely strong traction and metrics, so now is the perfect time to join Link to apply is in the comments below (or DM me directly), and we have a $10k referral bonus for successful hires!

    • No alternative text description for this image
  • View organization page for extend, graphic

    2,053 followers

    View profile for Kushal Byatnal, graphic

    Co-founder & CEO @ Extend (YC W23)

    On sales calls, the first question most customers have is "sure, but can it handle *my* difficult docs?". So to that end, I'm starting up a new series of extend vs. difficult PDFs! First up — zero-shot table extraction on a (internal) complex healthcare doc. This example in particular is interesting because it has (1) a table split across pages, (2) content in-between, and (3) no delimiter for rows or columns. What enables this is vision models specialized for tabular structures + semantic chunking that identifies the table continues over multiple pages (and should be treated as one continuous element). If you have complex documents, comment them below and we'll take a crack at it!

Similar pages

Browse jobs