Predictive Sourcing
The AI prioritizes targets by propensity to sell and fit to your thesis; you decide who to approach first.
Why Sourcing Is Inefficient
Too Many Targets
Long-lists are long but say nothing about who is actually ready to sell.
Missed Timing
Sell signals such as succession, growth, or events stay invisible without a system.
Gut Feel
Prioritizing by gut feel does not scale across a whole team.
How Predictive Sourcing Works
Prioritization with method, the decision with the human.
- 1
Read the Thesis
You describe your investment thesis; the AI derives relevant signals and criteria.
- 2
Rank the Targets
The AI prioritizes targets by propensity to sell and thesis fit, with transparent rationale.
- 3
You Decide
Your team reviews the ranking and decides who to approach first; nothing runs automatically.
AI ranking by thesis and sell signals; you decide.
Your Data Protected
Your pipeline and thesis data stay encrypted in the EU; sensitive content is anonymized before any AI processing.
Instead of a Static Database
A ranking by propensity to sell, instead of a list that treats everyone the same.
Frequently Asked Questions
About predictive sourcing.
What is the prioritization based on?
On your investment thesis plus signals from multiple data sources; every ranking is transparently justified and reviewable.
Does the AI decide who we approach?
No. The AI prioritizes and justifies; the decision is always made by your team.
Can I bring my own thesis and data?
Yes. You describe your thesis in plain language and bring in existing pipeline data.
Walk Through a Feature Live
See KamiSource against a real mandate setup. 30 minutes is enough.