Daloopa

Daloopa

Software Development

New York, NY 17,429 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 [email protected].

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

    17,429 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

    17,429 followers

    Surface-level data won’t cut it anymore. 📉 In today’s competitive landscape, analysts need more than just earnings numbers—they need insights. Daloopa helps analysts enrich their analysis with: - Historical trend data for spotting patterns (e.g., seasonal trends, margin shifts) - Alternative data sources like segment-level performance or ESG metrics - Automated enrichment for seamless side-by-side comparisons of guidance vs. actuals - Granular data integration isn’t just a luxury—it’s how analysts stay ahead. Ready to go beyond the basics? Set up your free account today - Link in the comments 👇

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  • IYKYK…

    View profile for Ted Merz, CFA, graphic
    Ted Merz, CFA Ted Merz, CFA is an Influencer

    Founder Principals Media / Modern Storytelling for Business Leaders / Former Global Head of News Product at Bloomberg

    The season all Wall Street professionals hate is earnings season. It’s also the only season that comes four times a year! S&P 500 companies report results every three months, typically two to six weeks after the quarter ends. Most report before the market opens or after the close to avoid charges of manipulation. It starts with a press release followed by a conference call. It can take a month for the CEO, PR and IR teams to prepare for that elaborate dance. And yet, as challenging it is for companies, it’s 500 times worse for the analysts at brokerages and financial reporters covering the results, many of which occur on the same day and even at the same time. The big platforms — FactSet, Bloomberg and LSEG Workspace — have everything investors need at a price. But even they aren’t optimized to handle the specific problem that it all happens in such a small window. There are surprisingly few tools built to address this onslaught. Thomas Li at Daloopa has built software that automatically updates analyst models. Andrew Meister at DoTadda, Inc. has a nifty tool that summarizes results and allows analysts to ask wide ranging questions. At Pricing Culture, my co-founder Bhargav Shivarthy and I, are getting into the game by providing a feed summarizing press releases, filings and conference calls in a standardized format optimized for a financial professional. We ingest the press releases and filings to extract data points, such as earnings. Then, leveraging AI, we create a table with key financial data, along with the names of the executive leadership, management comments and actionable takeaways. We repeat the process for conference calls. One of the things I learned in my previous job as Bloomberg’s Global Head of News Product was the value of curating, organizing and formatting data, especially when time is of the essence. It’s much easier to absorb information in a consistent, predictable way. Disney’s recent report is a good example. We posted a formatted version quickly after it was released. It has all the major financial data as well as a section on “Other interesting notes” that highlighted these two facts buried well below the top line: –The Star India transaction resulted in a $143 million restructuring and impairment charge. –Disney Cruise Line incurred pre-opening expenses of approximately $200 million. It’s a reminder of the tremendous potential of AI to collect and organize data so it’s available quickly. That way analysts and reporters can spend more time on the really valuable part of the job: applying human domain expertise to create insights. Better tools might even change the prevailing view on earnings season. Check out our website for more (link in comments) or DM me with questions. 

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  • Earnings season is happening now, and for analysts, every second counts. 🕒 From updating financial models to validating data and benchmarking against peers, the pressure is at its peak. Daloopa makes it seamless by automating the auditing and updating process. Say goodbye to manual errors and hello to accurate, timely data that allows you to focus on what truly matters: strategic decision-making. Don’t let the fast-paced earnings season slow you down. Set up your free account today! Link in the comments!

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  • View organization page for Daloopa, graphic

    17,429 followers

    🚨 Are you ready for this week's earnings releases? 🚨 Stay ahead of the curve with instant access to the latest data on these top companies: 1️⃣ Palantir Technologies (PLTR) 2️⃣ Alphabet Inc. (GOOGL) 3️⃣ PayPal Holdings (PYPL) 4️⃣ The Walt Disney Company Disney (DIS) 5️⃣ Uber Technologies (UBER) 6️⃣ Amazon (AMZN) Don’t let manual research hold you back—Daloopa has you covered! Set up a free account today and download the latest financial data to make smarter decisions, faster. 📊 Link to create your free account is in the comments!

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  • ⏱️ Faster Updates for Faster Insights ⏱️ Manually updating financial models takes time that could be spent on insights and new ideas. Daloopa helps you reclaim that time with: 👉 Key data available within minutes 👉 Incremental updates as new data is ready 👉 Notifications for new data availability During earnings season, Daloopa saves you 15-45 minutes per model, helping you stay ahead and clear your backlog faster. #EarningsSeason #Efficiency #AI #Daloopa

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  • Daloopa reposted this

    Leadership, Innovation & AI: What's Next? Edition 34 is here! This week we are looking at key industry trends like AI-driven LegalTech, dynamic pricing models, and blockchain-based identity solutions. Discover how top industry leaders are shaping the future: - Simplifai is revolutionising workflows with AI email bots automating up to 80% of customer inquiries. - Daloopa streamlines financial analysis with precision data extraction. - Triomics accelerates oncology research with AI-powered solutions for clinical trials. - Supernormal redefines productivity with automated meeting notes for hybrid teams. Plus, gain leadership insights with John Maxwell's '5 Levels of Leadership'—a must-read for visionary leaders ready to thrive in 2025. 🎙️ And don’t miss this week’s podcast spotlight featuring Luigi LENGUITO on predictive cybersecurity at BforeAI Ready to lead boldly in 2025?

    Rare FinTech & AI Leaders

    Rare FinTech & AI Leaders

    Maurice Thompson on LinkedIn

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Funding

Daloopa 3 total rounds

Last Round

Series B

US$ 18.0M

See more info on crunchbase