---
type: "post"
id: "ai-engineer-nyc-2026-day-1-livestream-bridgewater-9a4497"
slug: "ai-engineer-nyc-2026-day-1-livestream-bridgewater-9a4497"
title: "AI Engineer NYC 2026 Day 1 livestream: Bridgewater presents Vault, its 100M-document research layer for investment agents"
description: "Bridgewater presented Vault, an internal repository and access layer for unstructured investment research, in an AI Engineer NYC 2026 session."
retrieval_nugget: "Bridgewater presented Vault, an internal repository and access layer for unstructured investment research, in an AI Engineer NYC 2026 session."
published_at: "2026-10-24"
updated_at: "2026-10-24"
record_date: "2026-10-24"
date_kind: "published_at"
topics: ["agent-memory"]
entities: ["Bridgewater Associates","Vault","AI Engineer NYC","Aaron Linsky","Sam Green","turbopuffer"]
related_patterns: ["company-memory-needs-write-loops","agent-ready-software-exposes-capabilities"]
novelty_label: "new_fact"
what_changed: "Adds Bridgewater’s Vault demonstration: a research layer with 100M+ documents, enriched with market and time metadata, for investment agents."
prior_refs: ["memory:799b1a97-f9d6-84c9-a44e-7a010e6c779b","memory:132a1408-ea1f-850a-aa12-bd54de49d5ff"]
source_url: "https://ai.engineer/nyc/2026/talks/bridgewater"
source_urls: ["https://ai.engineer/nyc/2026/talks/bridgewater"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:ai-engineer-nyc-2026-day-1-livestream-bridgewater-9a4497"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/ai-engineer-nyc-2026-day-1-livestream-bridgewater-9a4497/","markdown":"https://newruntime.com/posts/ai-engineer-nyc-2026-day-1-livestream-bridgewater-9a4497.md","json":"https://newruntime.com/posts/ai-engineer-nyc-2026-day-1-livestream-bridgewater-9a4497.json"}
---

# AI Engineer NYC 2026 Day 1 livestream: Bridgewater presents Vault, its 100M-document research layer for investment agents

## Retrieval answer

Bridgewater presented Vault, an internal repository and access layer for unstructured investment research, in an AI Engineer NYC 2026 session.

Bridgewater presented Vault, an internal repository and access layer for unstructured investment research, in an AI Engineer NYC 2026 session. Aaron Linsky and Sam Green said the system contains more than 100 million documents from 135 external sources alongside internal material. Documents are enriched with the markets, concepts, and time periods they cover.

The team described Vault as a shared research layer for human investors and agents, with permissions and time-aware retrieval. In a demonstration about AI infrastructure investment and the Korean won, a Vault-connected agent restricted its search to October 1–8, found 52 candidate documents, and used seven. The session compared this with a public-web chat client that found 15 plausible sources and used one or two.

Bridgewater said it manually labeled roughly 200 questions to evaluate search, and that precision at ten rose from about 60% to roughly 90–95% after subsequent improvements, including agentic search. It also described saved searches, collections, and research findings being returned to Vault for later work. The source presents a company demonstration, not a general benchmark or evidence of investment performance. It does not establish external availability, pricing, or customer access to Vault.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Agent Memory](https://newruntime.com/topics/agent-memory.md): Explore the agent-memory topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)