The Goldman Sachs spinout that knows who-in-your-firm can close the deal - and quietly taps them before anyone else notices.
In 2017, a Goldman Sachs managing director named Rohan Doctor closed a record cross-border funding deal. The interesting part is not the deal. It is how it started: a chance conversation at a water cooler in London, the kind of encounter that no CRM records, no manager can schedule, and no strategy deck can promise. Doctor, who spent 17 years at the bank running its Bank Solutions business, noticed something uncomfortable about that success. It was luck. And luck, from a management standpoint, is a terrible business model - not because it does not work, but because you cannot repeat it on purpose.
So he asked a slightly ridiculous question, which is often how the good companies start: what if you could systematize serendipity with data? Most firms treat their internal network - who-knows-who, who-knows-what, who had lunch with which CFO last spring - as tribal knowledge that lives in people's heads and leaves the building at 6pm. Doctor's bet is that this is the single most valuable and most wasted asset a professional-services firm owns.
Louisa was incubated inside Goldman Sachs' accelerator and spun out as an independent company in 2023. The name is a small piece of financial folklore: Louisa is said to be the woman who introduced Marcus Goldman to Samuel Sachs. A company built to surface hidden relationships, named after the original hidden relationship. Wall Street rarely gets to be this on-the-nose.
The product itself is deliberately unglamorous, which is a compliment. It does not try to replace the banker, the consultant, or the lawyer. It reads the firm's collective memory - emails, meetings, CRM records, external news - builds a graph of who is connected to whom and who knows what, and then, crucially, it acts. When a headline breaks that matters to a client, Louisa figures out which colleague already has the warm relationship and nudges them, inside the inbox they already live in.
Doctor's own shorthand is "an AI-powered LinkedIn on steroids," which undersells it slightly. LinkedIn tells you that you are connected to someone. Louisa tells the right person, at the right moment, that they should probably send a note today - and why. The difference between those two things is, in aggregate, a lot of revenue that firms currently leave on the table simply because the left hand never learns what the right hand knows.
What if we could systematize serendipity with data?
The mechanism is less "chatbot" and more "radar." Four moving parts, running quietly against your own data.
Emails, meetings, CRM and external signals become a live graph of who-knows-who and who-knows-what - with auto-populated colleague profiles.
Daily market news and relationship signals are matched against the graph, so a headline becomes a lead instead of noise.
Entity resolution and relationship scoring surface the colleague with the strongest, most relevant connection to the opportunity.
A proactive nudge lands in the inbox they already use - the right person, the right lead, the right moment, no new tab required.
Reads market news against your firm's relationship graph and proactively prompts the right person with the right warm lead, delivered inside their inbox.
Maps who-knows-who and who-knows-what across the organization, with auto-populated profiles and expertise tagging.
Surfaces hidden cross-sell and deal-origination paths by connecting internal and external networks that would otherwise stay siloed.
News-driven relationship signals, entity resolution, scoring and integration APIs for enriching and cleaning CRM relationship data.
The firm at your fingertips - relationship insights and warm-intro routing on iOS, for dealmakers on the move.
Plugs into Salesforce, HubSpot, Zoho, Affinity, Outlook, Gmail, LinkedIn, Snowflake and Databricks.
Louisa sells first to the places where relationships literally are the product: investment banks, private equity and venture capital, management consultancies and law firms. It began with four blue-chip paying customers and now reports 150,000+ users - roughly 25,000 monthly and 3,000 daily active - with plans to expand beyond finance. The business model is refreshingly boring: per-user B2B SaaS subscriptions, sold into regulated firms one compliance review at a time. That slowness is also the moat.
A chance water-cooler chat in London leads Rohan Doctor to close a record cross-border deal at Goldman Sachs - and to a nagging question about repeatability.
Louisa spins out of Goldman Sachs as an independent company; CNBC covers it as the bank's AI-powered corporate social network.
Closes a $5M seed round backed by Oxford University's investment arms, Palm Drive, Evolution, Nucleus, Gaingels and ex-Goldman angels.
Named a G2 Leader for Fall 2025 and ranked #1 Easiest Setup in its category.
Acquires knowledge-capture startup Weavit to deepen its relationship-intelligence stack.
Think of Louisa as an AI-powered LinkedIn on steroids.