About
Collar builds an AI platform for private-market investors that automates deal sourcing, outreach, dataroom ingestion, diligence, financial modeling, and investment-committee materials. It sells to funds, individual investors, lean investment teams, and enterprises, differentiating through firm-specific AI agents, deployment inside the customer’s architecture, and data isolation so each firm’s diligence strengthens its own proprietary advantage.
Market
Collar competes in AI-native private-market investment operations, combining deal sourcing, origination, diligence, data-room management, and investment-committee preparation in one workflow. Its positioning is an end-to-end AI deal team rather than a point solution: it connects external data sources and internal systems, runs in the firm’s cloud, and preserves firm-specific learning without training a shared model. The closest competitive set includes private-market sourcing and workflow platforms such as Grata, Energent, DealCloud, and Dealpath, along with broader finance-document AI platforms such as Hebbia and Alkymi.
Collar targets private-market investors, including venture and private-equity funds, asset managers, individual investors, and lean deal teams. Its primary users are investment professionals and deal teams that need to automate sourcing, origination, diligence, information collection, financial modeling, and investment-committee preparation; the offering is structured for both teams under five seats and larger enterprise teams.
At a Glance
Problem
Private-market investing is a labor-heavy, fragmented pre-investment workflow. Investment teams must source opportunities across difficult-to-reach platforms, review large datarooms, chase missing information, build financial models, and prepare investment-committee materials. Collar targets the cost and delay created by stitching together research platforms, datarooms, inboxes, and spreadsheets, positioning the benefit as a faster and cheaper process rather than a replacement for investor judgment. Its clearest use case is taking a new deal from initial screening through diligence and an IC-ready decision package; for an individual investor, that can mean uploading decks, financials, and contracts and receiving risk flags, a model, and a plain-language research memo.
The economic proposition is software replacing a meaningful amount of analyst coordination and review. Collar lists a Pro plan at $1,000 per month after a one-month free trial, covering up to 50 deals per month for individual investors and lean teams, although it does not publish independently verified ROI or time-savings data.
Product / Service
Collar is an AI deal agent and research-workflow platform for funds, lean investment teams, and individual investors. Users upload their investment thesis; the agent searches sources such as PitchBook and Bloomberg each morning, surfaces opportunities matching the mandate, conducts outreach, connects to target datarooms, ingests the documents, and produces diligence reports, financial models, IC reports, and presentation decks. It also drafts and files chaser emails, making the product an end-to-end workflow rather than a standalone research tool.
The delivery model is a subscription for smaller teams and a custom enterprise offering for larger firms. The enterprise version adds proprietary firm-specific agents, unlimited pipeline capacity, integrations with internal systems, compliance audit trails, and founder-led onboarding. Collar says the software runs in the customer’s cloud and isolated sandboxes on SOC 2 Type II and ISO 27001-certified infrastructure, while the investor retains the final decision; the company explicitly positions itself as research and workflow software, not an investment adviser or fiduciary.
Market
Collar competes in the emerging AI-native private-markets and investment-workflow software category, spanning deal sourcing, screening, diligence, financial analysis, and IC preparation. Its competitive set includes focused products such as Grata for AI deal sourcing and screening, AgenticPM for agents across private-market lifecycle stages, V7’s AI private-equity sourcing agent, and Keye’s AI due-diligence software. PitchBook, Bloomberg, and other research systems are also adjacent incumbents, although Collar treats at least some of them as integrations rather than direct replacements.
The company appears to be at an early commercial stage. Y Combinator lists Collar as an active Fall 2026 finance-AI company founded in 2026, with two employees based in Singapore, while Collar’s site says it is built and trusted by asset managers, private-market firms, and individual investors managing more than $1 billion in assets. The public materials disclose a free trial, paid Pro pricing, enterprise pilots, and a pilot value guarantee, but no named customer list, customer count, revenue, or funding figure; therefore, the evidence supports early go-to-market traction but does not establish whether Collar is pre-revenue.
Founders & Leadership
Funding History
Y Combinator
Recent News
Y Combinator’s company profile presents Collar as a platform for AI-native private-market investors. It lists the company as founded in 2026 by Kazel Koh En Yang and Jamie Yau, with two employees based in Singapore.
Collar’s FAQ identifies the company as backed by Y Combinator’s F26 batch and describes its product as an AI deal agent for funds and individual investors.
Collar’s pricing page introduced a one-month free trial and a Pro plan priced at $1,000 per month, with custom plans for larger firms and enterprises.
The pricing announcement highlights integrations with PitchBook, Google Drive, and Claude, alongside smart analysis tuned to a fund’s investment criteria. This is the clearest integration-related announcement found for Collar during the period.
An F6S company profile describes Collar as a sovereign-agent platform built for private-market firms that need AI while keeping their data from leaving the organization.
Active Roles
1Business Model
Collar monetizes through tiered monthly software subscriptions, including self-serve Starter and Advanced plans, plus custom-contract enterprise deployments. Enterprise revenue also comes from full-service AI consulting, workflow development, deployment, integrations, and ongoing company-brain expansion.