Introducing Tesseract GPT 2.0
The new flagship vertical agent for structured stock analysis, designed to feel cleaner, sharper, and more deliberate than generic prompting.
Essentially, Tesseract Research is a research firm focused on investors that want to actively grow their wealth by being present in financial markets, equities, bonds, ETFs, funds, etc.
Key Milestones
Clients from 28 countries
100+ clients
61% of clients return after the first order
12 days average delivery time
The opinion of some clients...real people with real names
Non-profit software equity research
“Benet did a terrific job, delivering on time. He was tasked with researching a niche topic and followed through with understanding and attention to detail. He was responsive and easy to work with. Highly recommend his work and would return for more projects in the future.”
Equity Research support for options trading
“An excellent partnership.”
Portfolio advisory LLM optimization for Contextual AI
“Benet was very responsive and showed great attention to detail. We were very pleased with his work.”
Asset Management Research
“I really enjoyed working with Benet on this project. He is knowledgeable, consultative, and delivers on the goals. Would gladly partner with him again.”
Futures & commodities trading strategy optimization
“Benet was super helpful and knowledgeable. I am very happy with the results. He even gave me ‘after-sales’ support - thank you Benet! :-))”
Emerging markets equity research, oil industry deep dive
“Thankful for the collaboration.”
Discretionary trading strategy framework and standardization for Visual Sectors
“A reliable business partner, that's for sure.”
Fraud investigation for a shady publicly traded company
“A collaboration that lasted way longer than expected due to the complexity of the case, thankfully Benet knew what he was doing.”
Tesseract Catalyst Engine
The most comprehensive study of how catalysts and news actually drive stock moves, built on real historical setups, real databases, and thousands of observed cases instead of guesswork.
