It has been some time since we started building Growthsphere and we’ve stayed quiet on purpose. So far.

There’s a lot of noise in AI right now, especially in fintech. But institutional investors don’t need noise. They need decision-making products that work the way they do. What I’m saying is that they want to embody an investment philosophy consisting of core principles and beliefs that guide investment decisions and market strategies. One that is clear, rigorous, and personalized to how their teams actually make decisions.

So that’s what we worked on.

One Market, Many Roles

People still like to say institutional investing is fragmented. LPs, GPs, family offices, fund-of-funds, corp dev, M&A, secondaries. Different playbooks, different incentives, different languages.

But once you trace how capital flows, who allocates to whom, where diligence happens, and how conviction gets formed you start to see it differently. Everyone’s solving the same core problem: should we deploy capital here, and why?

Take away the consumer side such as RIAs and wealth tech, and what’s left is a single, tightly connected market, albeit with nuances.

LPs invest in funds and do directs. GPs become LPs when they allocate into other vehicles. Corporate development teams evaluate companies like VCs.

So instead of treating these like different markets, we built one platform that supports the different ways institutions invest.

Our Two Products

We are entering this largely unserved market with two products:

1. Our first product is an easy to consume Memo-as-a-Service (MaaS).

This targets VCs, direct investing by LPs, Family Offices, Corporate Development, and M&A where you can give us (or do it yourself) the name of the company and we produce a memo in 24-48 hours.

We do all the research with our internal AI tools and produce a tear sheet memo (screening memo) that directly moves to a diligence memo with VDR artifacts, if you decide to invest.

Key value is personalization and ontological segmentation…we think like the investor using the investor’s template, investment profile, investment criteria and use our proprietary company segmentation ontology.

For Funds, getting correct & actual IRR of vintage funds minus fees is critical before investing in a new fund. Onboarding is trivial and pricing is very modest. It’s still secure but multi-tenant.

2. Our second is our Institutional product

Here we sell our Agentic Platform as a single tenanted system to institutional investors who are regulated. This is super-secure, ships with a data lake, has its own private LLM, and deals with an LP’s systems/books of record.

The product deals with all asset classes within a large fund. As an example, with UC Investments, there are 7 asset classes, each with its own investment goals.

Since it’s a regulated industry, we ship a private LLM within the fund’s VPC (Virtual Private Cloud). And the data is further delineated with finer access control per group, so secret deals and data are kept away from other members of the fund.

Our personalized reasoning models go beyond qualitative data into quantitative reasoning with ontology (simply named OntoTab that include company and alternatives performance). In this product we do ontological training, but within the confines of each LP’s private LLM.

Personalized Reasoning and Agentic Platform

This is where we differentiate.

Most AI tools summarize or search. Some draft memos if you give them prompts. But they’re generic. They don’t know how your team thinks. They don’t remember what your IC debated or what your fund policy flags as unacceptable risk.

Our model understands your fund’s logic and how your team reasons.

We call this ‘personalized reasoning’. It adapts to your memo style, decision structure, and constraints. Over time, it starts to behave like your best analyst only faster, more consistent, and explainable.

And it doesn’t just spit out answers. Answers are only half the story, so our models explain the ‘why’ behind every decision.

This reasoning model is our moat.

If You’re Interested

I’m grateful to our investors, KDX.vc ( Ashby Monk) and UC Investments (Jagdeep Bachher), who pushed us to build something that solves for the complexities of institutional investment decision-making.

We’re already working with funds that want this strategic advantage.

If you’d like to learn more, reach out.