Hey builders and dreamers!

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 am sure you know one too! I realized 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? How did Google's CEO feel when they bought Android?[That would be fun to ask!])

It all started with PDF.ai—yes, that's right. What would happen if we had a version of a PDF chatbot but on steroids? You would have a difficult data engineering problem on your hands.

Arranging terabytes of information especially that LLM enables is no easy task, professionals and stock investors spend hours if not days researching a company. Researching companies hasn't changed at all, leveraging machine learning & NLP to empower equity professionals to cut through and get ahead of the curve to extract insights from thousands of sources and billions of data points.

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, Press, kitchen sink) and build knowledge based on top of that. Quantera was born.

ChatGPT has a limit of 15 docs, & NotebookLM has a limit of 25 docs with specific character limits. We process 3.5M pages of financial data (Not deployed at scale yet) from the highest quality data sources, vetted by the CFOs of Fortune 500 companies.

"What's unique about us?", you ask.
AI Insights, Ask any question about any company and we source official filings to generate answers with a chain of thought built 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 Strengths, Challenges, Noteworthy summary, and Financials. Spot trends, and generate comprehensive theses in a fraction of the time.

Data Visualisation (Coming soon), Literally create millions of new financial graphs that didn't exist before. Transform 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 visualization is like English homework I think.
What's truly unique is our hunger to solve this for our customers, features will come and go.

Being accepted into buildspace s5 we could get additional help in building towards our vision If you are an Expert Full-stack engineer or a Saas Sales ninja, reach out! We have cookies and dreams!
We like people and we would like to build with you so please reach out, if it's feedback, deep thoughts about the industry, or just a rant. We are all ears!

"But dude," you say, "Isn't this going to cost you a lot, and how would you even reach your fancy customers". You ask!
Me: Yeah man it's tough, it requires a lot of work, trying to talk to Banks, Analysts, and fund managers to know if they ever care about this..it's one of the reasons we are raising and looking for a specific strategy partner.
"Yeah, that's one way to say it".