Launched this week
Leni
The world’s most accurate AI for investors
1.3K followers
The world’s most accurate AI for investors
1.3K followers
Leni is the most accurate and verifiable AI for serious investment work. Built on 21,000+ decision traces and processing 100M+ rows daily, it delivers finance-grade outputs with full auditability through source links, timestamps, and grounded comps. Leni outperforms GPT, Claude, and Manus on independent benchmarks for accuracy, modeling, and valuation while giving teams the trust they need when millions are on the line. Leni is part of Google Startups and a serious machine for investors.
EverTutor AI
Congrats on the launch! 🎉
Curious — what was the biggest challenge in building an AI that investors can actually trust with high-stakes decisions? Was it the accuracy, the auditability, or getting users comfortable relying on AI for investment research? 👀
Looks like a really ambitious product. Wishing the team a successful launch day!
Leni
@suryansh_tiwari2 Thank you!
Biggest challenge was getting reliable accuracy under real-world messiness, then making that reliability provable. Accuracy and auditability are tightly linked: you need strong extraction/reasoning, plus verification checks and traceability so an investor can see what drove the answer and where it came from.
The “comfort relying on AI” part comes last in our experience. Once the outputs are consistently correct and explainable, trust follows.
EverTutor AI
@arunabh_dastidar love the insight that trust comes after consistently correct and explainable outputs.
Leni
@suryansh_tiwari2 I’d answer it a little differently: the hardest part was teaching the system when to stop.
In investment work, the dangerous failure mode is not always a bad final sentence. It is an earlier assumption that slips through and then infects the model, memo, market read, or reporting narrative downstream.
So a lot of the product work went into decision boundaries: when should Leni continue, when should it ask for a missing input, when should it run a check, and when should it say “this needs review”?
That is also why benchmarks matter to us. The useful test shows whether the system can complete multi-step work and still be checked.
This writeup covers some of that: https://dupple.com/blog/how-leni-beat-genspark-and-manus-on-gaia-benchmark
Comfort from users comes after they see that behavior: the system knows when the answer is not ready yet and will flag it.
Very proud to see Leni launch today 🎉 Working with real estate and investment data has reinforced that accuracy starts long before analysis. Good data foundations make trusted answers possible, and it has been rewarding to contribute to that work.
Leni
@ye_tao1 thanks for being the integral part of the journey.
Leni
@ye_tao1 really appreciate you saying this, and thank you for being part of that foundation!
Unslack
Hallucinated figures are one of the top reasons that actually helpful platforms aren't adopted. Glad the Leni team has listened to the real estate and investment teams specifically to create something custom built and something you can trust in to give you dependable results every time.
Congrats on the launch today! 🍾
Leni
@ashamplifies - thank you, my man!! We're here to hear every feedback and suggestion!
Leni
@ashamplifies - Thank you! And Leni is all yours to use and abuse, would love for you to try it and share your feedback :)
Leni
@ashamplifies thank you, really appreciate it!
Commercial real estate teams were very clear with us about what “accuracy” means for them: numbers that tie back, assumptions that can be reviewed, sources that are easy to inspect, and outputs that hold up when someone is making a real decision.
We listened, built for that standard, and then challenged ourselves to take it further across spreadsheets, research, and reporting workflows.
Excited to have Leni live and get feedback from people outside our usual real estate and investment circle too!
Mailwarm
What data sources are you pulling from, and how do you handle corrections when a vendor restates financials?
Cool! How did you compare the quality of the responses against other models? Did you use a blind test? Some external service, or did you run the evaluation yourselves?
Netlify
Hey PH fam 👋
I've been watching AI stumble in high-stakes professional work for a while now. Real estate and investment teams can't afford hallucinated numbers in an underwriting model or a memo that cites something that doesn't exist. The cost of that mistake isn't a slap on the wrist. It's a blown deal.
That's the exact problem Leni was built to solve.
Leni is an AI agent built specifically for real estate and investment teams. Not a general-purpose chatbot pointed at your files. A purpose-built system designed to handle the kind of work where accuracy is non-negotiable.
Here's what makes it different:
🏗 It connects to the actual systems your team already uses. Yardi, Entrata, RealPage, AppFolio, ResMan and more. No manual data wrangling. No explaining your world from scratch every time.
🔍 It doesn't just generate. It verifies. Multi-agent architecture cross-checks work and reduces hallucinations before anything lands in your hands.
📊 It delivers finished work products. Underwriting models, IC memos, lease abstracts, market research with cited sources. Not a 25-message thread you have to babysit.
🔐 It's built for sensitive data. Containerized models, strong guardrails, and a private institutional context graph that gets smarter about your firm over time.
And it's model-agnostic. Use your favorite LLM or let Leni route across models automatically for the best output. You're not locked into one model's limitations.
For anyone who's been burned by AI that sounds confident but gets the numbers wrong, this one's worth a serious look.
Big respect to @arunabh_dastidar and the Leni team for tackling one of the hardest problems in enterprise AI: not just being smart, but being trustworthy.
Check it out and drop your questions below!
Leni
@arunabh_dastidar @thisiskp_ I see amazing comments and feedback, and we are not half way through the day yet!
Keep them coming, guys!
I'm having the time of my life answering all these questions 🧐
Fellow.ai
Leni
@manuelabarcenas Thank you!!
Leni
Appreciate it,@manuelabarcenas!
Leni
@manuelabarcenas thank you!