Quantera.ai

Quantera.ai

Market intelligence & Equity insights just got 10x faster

4.9
10 reviews

458 followers

Market intelligence and stock market insights comprehensive equity research and insights for investors. Verified data, instant analysis, and tools for evaluating financial health, risks, corporate governance, and market sentiment.
Interactive
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Launch tags:
FintechInvestingFinance
Launch Team / Built With

What do you think? …

Akash Shrivastava
👋 Hey builders of Product Hunt, I am the ‘Stock guy’ in my circles, the person in the room who people come to ask for non-financial advice, whether it is placing a new bet, selling call options, or buying long-term stocks. I realised that researching a public company really should not be that difficult. Asking broad market questions on a particular stock, sector or industry should be easy to answer. (For example, what was AirBnb's revenue and sentiment during 2020? or How did Google's CEO feel when they bought android?) What would it be if ChatGPT had all the knowledge of all the public companies? (Not looking up the web as it does today, but vetted official data only) Official filings like (10Q, 10K, 8K, DEF14, S1, S4, Press, etc) and built knowledge based on top of that. Quantera.ai was born. 🚀 ChatGPT has a Document limit of 15, and NotebookLM has a limit of 25 documents with specific character limits. We process 3.5M pages of financial data (we have not deployed at scale yet) from the highest quality data sources, vetted by the CFOs of Fortune 500 companies. We aim to deploy these capabilities across several other markets in the months to come. What Makes Quantera Different?AI Insights Ask any question about any company and we source official filings in generating answers with Chain-of-thought build into each query. We undertake various paths to break down the problem statement through multi-step reasoning and then show you the best answer. 🧠 Connect the dots A market that is cluttered with information, complicated terminals, and dashboards. Imagine being able to find the most important 3 key financial figures, 4 quarters ago and map that event to all future earnings, and related companies. We can go one step further, we can generate a thesis on what these key events would lead to in the company. 🌐 Analyze Earnings A Super-button that breaks a company's earnings into Strength, Challenges, Noteworthy summary and Financials. Spot trends, and generate comprehensive theses in a fraction of the time. 📊 Stock / Sector screener A single master view to get a 10,000ft view of the market, price action and useful filters that will help you see the market in a few clicks. Seeing how a sector performs in relation to others is also an important view to see momentum and where money is flowing. 📈 Data Visualisation (Coming soon) Transforms complex financial data into intuitive, interactive visual insights. Our DataViz engine can generate any graph based on the response leading to millions of new ways to read data, data without visualisation is like English homework. Being accepted into buildspace s5 we could get additional help in building towards our vision 🦋 If you are a Expert Full stack engineer or a Saas Sales ninja, please reach out! There is so much more we should not be talking about, so keep an eye on our LinkedIn page for announcements: https://www.linkedin.com/company... X: https://x.com/quanteraInsight Sign up here to jump into Quantera.ai and see how we can boost your equity research — https://www.quantera.ai/ We look forward to building this with you, so please reach out. Thank you!
Akash Shrivastava
@victoria_wu Thank you Viktoria! Great question, LLMs and AI system via RAG and other are really only good (In my experience) when the knowledge base is reliable to begin with. A needle and the haystack question here. A web look up would ruin the quality of answers and won't be citable with the same degree of trust. Especially in finance, data needs to be reliable and there is no margin for error, hence starting from data that is quiet literally signed by the CFOs of the companys' was a good starting point. What do you think how this differs with respect to finance or other industries
Akash Shrivastava
@victoria_wu Filings are the first place where all analysts/fund managers begin their journey in understanding a company, today fundamentally driven to get hard figures minutes after earnings. I can see us in the future expand to alternative data sources, social media, etc but that would be a social sentiment feature, away from core research.
Furkan karahan
@akashs congratulations on the launch 🚀 it has been a good application for professional and normal investors, detailed documents that can be used to make detailed examinations and predictions before investment, and the chatbot that you can talk over these documents has been a very nice feature.
Pooran Prasad Rajanna
@akashs Love the idea. Looking forward to integrating.
Akash Shrivastava
@pooran_prasad_rajanna Thank you! Looking forward to our collaboration
Steph Nass
That's a really cool concept! Do you think your market is more with small retail investors or with larger professional ones?
Akash Shrivastava
@stephnass Thank you for the support! Yes we are building a a B2B tool for professional investors but starting with a simple chatbot became a simple first step. The aim is to work with Public equity players, banks and brokerages and invest in a B2B2C play.
Alexander Farr
WOW 🚀 Solely from trying to get financial data on German companies, I know how difficult it can be to collect all the data - will certainly follow you
Akash Shrivastava
@alexanderfarr We are absolutely looking to expand our markets, since we are based in Stockholm, Sweden. The DAX is not that far out :) Thank you for the support!
Alexander Farr
@akashs nice, sounds exciting! :)