Antonine
Lean investment teams across the lower-middle and middle market. Family offices, private equity, asset managers, and private credit shops where a small team handles sourcing, diligence, portfolio monitoring, and LP reporting. If your firm is lean by design and carries more manual work than it should, this was built for you.
Firms that put AI infrastructure in place now spend the next several years compounding on their own data and decisions. The advantage comes from how long the platform has been learning your firm, so the sooner it starts, the further ahead you are.
One platform that runs your deal process end to end — from screening inbound opportunities, to diligence and IC memos, to a structured institutional memory, to a single view of every deal in motion. Every part is trained on your data, your criteria, and your way of working, and the platform compounds the more you use it. Adopt one part or the whole thing.
It's designed to run as one system, but you don't have to take it all at once. Most firms start by trialing a single piece — consolidating scattered institutional memory, or compressing cycle time on the next deal — and bring on the rest when they're ready. Because every part runs on the same infrastructure, adoption compounds rather than fragments.
A fleet of autonomous agents on a typed ontology, built on Palantir Foundry — the same ontology-backed infrastructure Palantir runs in defense and intelligence. The agents handle financial modeling, comparable deal analysis, market benchmarking, meeting prep briefs, document Q&A, and Excel templates that write your firm's standard model directly into outputs grounded in real deal data. Each task routes to the most effective model per token, so you get maximum value for every dollar of AI spend. The Assistant is how your team queries all of it in natural language, and the platform learns your investment criteria, sector thesis, and decision frameworks the more it runs.
Most "AI for your docs" products are retrieval over PDFs. They search, they summarize, they hallucinate when the source is ambiguous. The Vault is structured. Every deal, document, decision, and figure is a typed object with relationships to every other object. Queries return source-grounded answers with citations. Token usage stays efficient because the structure does the work the model would otherwise have to guess at, and every query routes to the most effective model per token. Hallucination is mitigated by the same structure. It outperforms off-the-shelf retrieval on both accuracy and cost.
Your firm runs in a fully isolated environment. Separate database, separate AI context, separate infrastructure. Zero cross-client exposure. AES-256 at rest, TLS in transit. We deploy on-premise or on a private cloud instance your team controls. For NDA-protected deal data, we deploy local models so nothing leaves your network.
Enterprise platforms assume a large back office, a long migration, and a budget to match. Antonine is built for the lean firm: modular, fast to deploy, configured around the way your team already works, and engineered to get maximum value from every dollar of AI spend.
Your data stays yours. You can export every deal, memo, and decision in structured form whenever you want, so nothing the firm has learned is ever trapped or held hostage. The platform itself runs on our infrastructure, so there's no system for your team to maintain — and we earn the renewal every year by staying worth it.
First systems live within thirty days. The platform is designed so the time savings are measurable before your second monthly payment.
Pricing is modular and scoped to the firm. We do not publish tiered pricing because no two engagements are the same. Talk to us. We will give you the number on the first call.