Daloopa

Daloopa

Software Development

New York, NY 14,802 followers

Complete and accurate historical data in minutes

About us

Use the most complete and accurate set of public company historicals to build and update your models in your preferred method and format with Daloopa. Key data is added to your models instantly. Faster data powers faster and better insights. Are you ready to gain your edge with Daloopa? Get in touch at hello@daloopa.com.

Industry
Software Development
Company size
51-200 employees
Headquarters
New York, NY
Type
Privately Held

Locations

Employees at Daloopa

Updates

  • View organization page for Daloopa, graphic

    14,802 followers

    🌟 Why settle for less? See why analysts choose Daloopa over the competition in the areas that matter most. 👉 Unmatched Data Depth: We capture every detail from public filings, including footnotes and transcripts, so analysts never miss a thing. 🔍 Complete Auditability: With Daloopa, you don’t just trust the data – you can verify it yourself, directly linked to the source. ⚡ Flexible Data Delivery: Our hard-coded data integrates seamlessly into your models, unlike other rigid formats that slow analysts down. 🚀 Speed That Outpaces the Competition: While others lag behind, Daloopa updates your data in minutes, not hours, keeping analysts ahead. Ready to transform your workflow? Let’s chat and discover how Daloopa can revolutionize your analysis! https://hubs.ly/Q02Rh8S70

  • View organization page for Daloopa, graphic

    14,802 followers

    🚨 Cerebras IPO - Red Flags Galore 🚨 As Cerebras prepares for its IPO amid the GenAI frenzy, significant concerns arise. With 95% of its hardware sales in 2023 linked to a single customer, G42, and a CEO with a checkered past, the road ahead is fraught with challenges. Discover the implications of this unique situation, the role of Citigroup as lead banker, and how Cerebras aims to position itself in the competitive AI landscape. Read more about the potential risks and rewards in our latest analysis! 🔗 https://hubs.ly/Q02Tcr7j0

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  • View organization page for Daloopa, graphic

    14,802 followers

    How does Daloopa handle non-GAAP financial metrics or adjustments? 📊 This is a crucial question for analysts navigating financial data. At Daloopa, we believe in providing data exactly as companies present it. If a company shares GAAP operating income along with adjustments to reach non-GAAP operating income, we deliver the entire bridge for every line item available. We recognize that these adjustments can vary each quarter—sometimes they’re recurring, sometimes not. That’s why we lay out every adjustment clearly, whether it’s a blank or a value, ensuring you have a complete understanding of the financial picture. With Daloopa, you get access to GAAP, non-GAAP, and every adjustment in between, empowering you to make informed decisions with confidence. Ready to enhance your financial analysis? Book your demo today here: https://hubs.ly/Q02Srl_m0

  • View organization page for Daloopa, graphic

    14,802 followers

    Honored to be recognized by Touring Capital as a category-defining company! At Daloopa, we're passionate about transforming the financial industry by automating manual data entry and bringing efficiency to a sector that’s long overdue for AI-driven innovation. Thank you to Priya Saiprasad from Touring Capital and the team at Bloomberg Television for the thoughtful discussion on AI investment trends. Check out the full interview here! 👇

    View organization page for Touring Capital, graphic

    1,620 followers

    Our co-founder Priya Saiprasad had the pleasure of connecting with Caroline Hyde and Ed Ludlow at Bloomberg Television to discuss how the Touring Capital team identifies the best industries for AI investment. Some of the key things we look for include: 📈 Large TAM and big customer pain point  ✍ Mature industries who still rely largely on pen, paper, excel and inefficient processes  ⏰ “Why now” tailwinds: Is this an industry with the potential for wide-scale change?  💸 Immediate ROI to the end-user that creates a strong propensity to pay for the solution To-date, we’ve announced five investments in Pixis, Daloopa, SafeBase, CuspAI and Numa — all of which reflect these guiding principles. We’re excited to continue identifying category-defining SaaS companies in industries that are prime candidates for AI disruption. Check out the full Bloomberg Technology segment here, with Priya’s interview starting at the 19:20 minute mark: https://bit.ly/4gVssyL 

    DOJ Weighs Breaking Up Google | Bloomberg Technology

    DOJ Weighs Breaking Up Google | Bloomberg Technology

    bloomberg.com

  • View organization page for Daloopa, graphic

    14,802 followers

    How can I track earnings call commentary on future guidance versus actual reported earnings performance? Many investors overlook the nuances, focusing only on midpoints while missing the broader context. At Daloopa, we provide detailed guidance data alongside revenue numbers, helping you assess the full spectrum of expectations and trends. Ready to enhance your earnings analysis? Set up your free account today by visiting: https://hubs.ly/Q02SqvWn0

  • View organization page for Daloopa, graphic

    14,802 followers

    🚀 Exciting news! Our latest episode of the InDaloop Podcast is now live! Join us on this episode of InDaloop as Thomas Li sits down with Edwin Dorsey, founder of The Bear Cave to dive into the intriguing world of short selling. Edwin shares valuable insights on identifying companies that mislead investors and discusses the challenges and ethics of being an activist short seller. Don’t miss this opportunity to gain a deeper understanding of market dynamics! 🎧 Tune in now: https://hubs.ly/Q02SLsB60

  • View organization page for Daloopa, graphic

    14,802 followers

    Our first episode of ASK Daloopa Earnings edition was a hit and you can catch the entire episode right here while you scroll through LinkedIn. Got more questions or need some follow-ups? Just drop them anonymously by clicking here - https://hubs.ly/Q02Sz2Dp0, and we'll dive into them in our next ASK Daloopa Anything Earnings episode!

  • View organization page for Daloopa, graphic

    14,802 followers

    🔍 Managing Data Volume During Earnings Season 📊 At Daloopa, we often get asked: How can I reduce the overwhelming load of data during earnings season? One effective approach we recommend is setting up a streamlined grid. By focusing on the top 10 key items reported, you can easily compare them against your projections. Additionally, consider using a two-tab system: an input tab for all disclosed data and a simplified operating model capturing just the essentials. This way, you can keep your analysis efficient without sifting through thousands of rows of hard-coded numbers. By adopting these best practices, you can navigate earnings season with clarity and confidence! 💡 Ready to streamline your data management? Book a demo with our team today by visiting: https://hubs.ly/Q02SpW5T0

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Funding

Daloopa 3 total rounds

Last Round

Series B

US$ 18.0M

See more info on crunchbase