Investors have no systematic way to encode and reuse their proprietary pattern recognition. General-purpose AI fails to protect IP, nor can it recognize the subtle heuristics key to an investor's unique approach. Pulsate securely learns each firm's thesis logic and historical signals to scale its edge internally.
To accomplish this, secure data pipelines ingest deal flow while commodity models handle basic summarization and extraction. Our core focus is the reasoning architecture: a system that learns an investor's thesis through continuous feedback, then uses that captured judgment to construct highly contextual prompts to analyze new deals through the specific lens of that investor.