Use an LLM for questions. Use Advisare for decisions.
General-purpose LLMs are genuinely excellent, and Advisare uses them. The platform is model-agnostic: each task — reading, extraction, research, drafting — runs on a default model chosen for that purpose, and the model can change without the record changing. The model was never the hard part. What makes a screen defensible is everything around it: a data model that remembers, deterministic engines that compute, and a workflow built for the investment committee.
The same prompt can return a different answer each time. Fine for drafting; unnerving for a number that goes to committee.
Deterministic engines produce the same output from the same inputs, every run.
A chat is a transcript. It ends when the window closes and starts cold on the next deal.
A living knowledge base persists per deal and compounds across your whole pipeline.
Citations are generated text. They can be plausible, approximate, or absent — and you find out later.
Every field links to its source document and page, re-verifiable on demand.
A judgment shaped by tone and phrasing. Persuasive, but hard to defend line by line.
A weighted rubric with explicit knockout gates — versioned, and reproducible.
Each conversation stands alone. Comparing this deal to the last twelve means re-doing the work.
A shared ontology lines deals up field-for-field, so your pipeline reads like one ledger.
A seat per analyst. Outputs live in scattered chats, in each person's own format.
Memos and decks render into your firm's own templates — one house standard, every deal.
“The model felt good about it” doesn't survive an audit. A weighted rubric with knockout gates does.
What we borrow from LLMs, and what we refuse to
- Language understanding, to read a data room the way an analyst does.
- Extraction and summarization, to turn documents into structured fields.
- Drafting, to write in your voice from a settled set of facts.
- Let a model invent the number.
- Score by vibe. The rubric is explicit, weighted, and versioned.
- Cite from memory. Every source is linked and re-verifiable.
See it on a live deal.
Bring a data room. We'll build its knowledge base — sources and all — during the meeting.