Deepak Guneja

Building @pluxai

[Deepak Guneja @_DeepakGuneja]

𝟱𝟬,𝟬𝟬𝟬+ 𝗽𝗮𝗴𝗲𝘀. 𝟭𝟱 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗱𝗼𝗹𝗹𝗮𝗿𝘀 𝗶𝗻 𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀. 𝗔 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝗿𝗲𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗰𝗮𝘀𝗲.

This is the kind of analysis that takes weeks to piece together.

We built 𝗣𝗹𝘂𝘅 𝗔𝗜 to change that.

https://t.co/ItsIhXLMpZ
(1/5)

[Patrick OShaughnessy @patrick_oshag]

My conversation with Gabe Stengel (@GabeStengel), founder and CEO of Rogo.

For years, Gabe and I have talked about how much of an investor's job AI will eventually do and how he is building Rogo toward that future.

Today, Rogo helps some of the world's largest financial institutions research companies, run diligence and execute M&A.

But Gabe's ambition is much bigger. He is building toward investing superintelligence, where Rogo does much of the work inside investment banks and firms and becomes the venue where they do their deals.

It's a fascinating business and has been so fun watching Gabe build it.

We discuss:
- 10,000 agents searching for one great investment idea
- Which investing skills will still matter
- Why Anthropic/OpenAI won't win finance
- "Chewing glass"
- Why the harness around the models matters so much
- Getting rejected by 40+ investors
- Building an AI native Bloomberg
- Becoming a black hole for talent

Enjoy!

TIMESTAMPS:
0:00 Intro
2:38 Building Rogo
6:12 10,000 AI Agents
12:02 Skills That Still Matter
17:31 Beating OpenAI and Anthropic
28:35 Bloomberg of the AI Era
37:37 Rogo’s Company Brain
44:19 Chewing Glass
53:34 AI-Native Finance
59:21 What Humans Still Do Better

[Rogo @RogoAI]

Today we're announcing a strategic investment in Rogo from Barclays, BNP Paribas, Citi Ventures, MUFG Innovation Partners, and Societe Generale — joining J.P. Morgan Growth Equity Partners and Truist Ventures among others.

That brings Rogo’s strategic investors to nine global banks across New York, London, Paris, and Tokyo, representing nearly $20T in combined assets.

Rogo now serves 50,000+ professionals across 350+ firms globally. Grateful to our clients, team, and investors for the conviction, and excited to keep building.

[Gabriel Stengel @GabeStengel]

@RogoAI is hiring product managers.

Intelligence is no longer the bottleneck for finance... harnessing it at the product layer is.

Please reach out :) - details & JDs below

[Gabriel Stengel @GabeStengel]

Our new benchmark for high finance... three thoughts:

1. no single model dominates financial tasks (and gpt5.5 does far better than X sentiment would lead you to believe)

2. model routing across providers can improve workflow quality by 40%

3. most llm benchmarks either sacrifice reasoning auditability for accuracy, or sacrifice accuracy for reasoning auditability... real finance workflows need both

[Gabriel Stengel @GabeStengel]

Future of finance is going to require (1) trust, (2) agent-to-agent transaction protocols, and (3) a lot more last mile product work than most expect. Fun time to try to transform one of the world's most important industries :)

[Mamoon Hamid @mamoonha]

Finance is one of the hardest environments to build AI for because precision and trust matter so much. @GabeStengel, @johnwillettrogo, @TumasRackaitis, and team have built @RogoAI with that reality in mind: a platform that fits the way bankers already work and delivers the auditability, reliability, and workflow depth that leading financial firms require.

Thrilled to lead Rogo’s Series D and excited to partner with the team.

[Rogo @RogoAI]

Today, we’re announcing our $160 million Series D funding, led by @kleinerperkins, with participation from @sequoia, @ThriveCapital, @jpmorgan, and @khoslaventures.

35,000+ financial professionals. 250+ institutions. One platform, purpose-built for finance.

Thank you to our clients, our team, and our investors for their support as we continue building to raise the ceiling for what finance can accomplish.

[Rogo @RogoAI]

We are introducing Felix.

Felix is a purpose-built agent for high finance, designed for long-running, complex workflows and capable of producing decks, models, and documents end-to-end.

Felix executes so you can focus where it matters.

[Plux AI @pluxai]

Microsoft Q3 Flex

$70B Revenue, $32B Op-income, more profit in a quarter than many Fortune 500s make in a year.

$90M/day into R&D (mostly AI)
$0.46 of every $1 in Revenue = Op-income

Full Excel model w/ footnotes in 1st comment.

[Deepak Guneja @_DeepakGuneja]

Just wanted to share how deep & thoughtful this answer is, not only it gave me chills, but it’s making me rethink life & existence. Damn! So, we now have the kind of ideas Socrates & Plato once explored, those profound thoughts, to directly help us reflect on ourselves?

[Deepak Guneja @_DeepakGuneja]

If you work in restructuring, private credit, or financial analysis, Plux can help you get to insights faster & make your workflow more efficient.

If this resonates with you, let’s chat! Try it out at 𝗽𝗹𝘂𝘅[dot]𝗮𝗶/𝘀𝗶𝗴𝗻𝘂𝗽 or reach out at sales[at]plux[dot]ai.

(5/5)

[Deepak Guneja @_DeepakGuneja]

𝟱𝟬,𝟬𝟬𝟬+ 𝗽𝗮𝗴𝗲𝘀. 𝟭𝟱 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗱𝗼𝗹𝗹𝗮𝗿𝘀 𝗶𝗻 𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀. 𝗔 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝗿𝗲𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗰𝗮𝘀𝗲.

This is the kind of analysis that takes weeks to piece together.

We built 𝗣𝗹𝘂𝘅 𝗔𝗜 to change that.

https://t.co/ItsIhXLMpZ
(1/5)

[Deepak Guneja @_DeepakGuneja]

• Exported insights into a clean, presentation-ready deck in a single click

Instead of spending days compiling data, teams can now 𝗮𝘀𝗸 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗴𝗲𝘁 𝘀𝘁𝗿𝘂𝗰𝘁���𝗿𝗲𝗱, source-backed answers at their fingertips.

(4/5)

[Deepak Guneja @_DeepakGuneja]

Somewhere, something incredible has just been achieved. Space will never be the same. #SpaceX #StarshipFlight5 @SpaceX

[SpaceX @SpaceX]

Mechazilla has caught the Super Heavy booster!

[Deepak Guneja @_DeepakGuneja]

Fascinating insights at @AnthropicAI's #SFTechWeek session! Learning about the linear representation hypothesis, sparse autoencoders, and scaling models like Claude 3 Sonnet. Exciting to see how high-dimensional spaces can unlock more features with fewer dimensions!