We’re rebuilding how distribution teams find their next investors.
The next decade will reshape how capital is raised.
Distribution teams that once grew by adding analysts will grow by seeing earlier where demand is forming, and acting on it first.
Every team can buy the same subscriptions. The advantage will belong to the teams that know what that data means for the strategy they are raising, and when to act on it.
Tydl is the layer between market signals and your next allocation, giving distribution teams more coverage without more headcount.
Tydl builds a predictive model for each client strategy, drawing on 150 million historical holdings records across more than 25,000 firms.
Our north star metric is traceable net new inflows.
A traceable line from a Tydl workflow to a new inflow. That’s what we’re building towards with every client.
The Tydl team
Three things we believe
Distribution should be intelligence work
The hours a desk spends sifting market data are hours away from investors, so we built software to do the sifting.
The groundwork already done
Data providers hand you a dataset to analyse. Tydl prepares the market for your strategy, down to adviser-level detail inside larger firms, so the analysis arrives ready to use.
The data already exists
Firms collectively spend millions every year on Preqin, eVestment, AlphaSense and Bloomberg. The data is there; what most teams lack is the time to work out what it means for the strategy they’re raising.
Built around your strategy
Generic sales AI stops at a contact. Tydl trains a model for each strategy and compares your fund with what each prospect already holds.
Ahead of the move
Most distribution data shows what allocators did last quarter. Tydl looks for the patterns that came before earlier allocations, so your team can approach while the decision is still open.
Built for institutional finance
Generic AI doesn’t know why fund-of-funds matter or how to read an allocator mandate. Tydl is built by people who do.
Meet the founding team


