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Doerr Company's research directly supports the case for AI agents in the financial sector by quantifying the 'Processing Gap.' Their data shows that automated document verification reduces per-document costs from $9.52 to $0.75, representing a 92% reduction in time. This is a primary use case for autonomous agentic workflows that handle data intake, extraction, and verification in private markets.
While Doerr Company is not building the agents themselves, they are mapping the infrastructure where these agents will operate. As capital markets move toward tokenization and DLT, agents will be required to manage the lifecycle of digital assets, monitor real-time compliance, and execute automated settlement. They sit at the 'education and research' layer of the stack, identifying the specific points of friction where autonomous systems can replace manual '20th-century' processes to unlock trillions in market value.
Private market assets are currently trapped in infrastructure designed before the internet existed. While public equities trade in milliseconds, the secondary markets for private credit and commercial real estate still rely on manual data processing, physical signatures, and fragmented spreadsheets. Doerr Company is an independent research and advisory firm that documents this friction and the transition toward a more efficient, digitized future. They argue that the current system imposes a quantifiable economic drag on institutional capital through high compliance costs and settlement latencies.
At the core of the Doerr Company thesis is the 'Processing Gap.' The company highlights research showing that manual document processing costs approximately $9.52 per document, whereas automated workflows can reduce that cost to $0.75. This 92% reduction in processing time across intake, extraction, and verification is the primary driver for institutional adoption of new infrastructure. By moving away from human-dependent workflows, firms can eliminate the operational risk that accumulates during extended settlement periods.
One of the most significant challenges in private markets is the 'Discount for Lack of Marketability' (DLOM). Private assets are systematically valued 25% to 35% below comparable instruments simply because there is no functioning secondary market for them. Doerr Company focuses on how tokenization and distributed ledger technology (DLT) can create the plumbing necessary for these markets to exist. By representing private credit or real estate as digital tokens, institutional participants can move toward a model where capital is no longer encumbered for days or weeks in transit.
Institutional projections cited by Doerr Company identify 2030 as a milestone for the mass adoption of DLT in capital markets. With a projected tokenized asset market of $16.1 trillion by the end of the decade, the firm's role is to provide the foundational and technical education required for market participants to navigate token standards and regulatory frameworks. They operate less as a technology provider and more as a bridge between legacy financial systems and new digital standards.
Doerr Company divides its focus into key sectors where the impact of digitization is most acute. In private credit, they examine how tokenization is restructuring loan origination and syndication. This involves moving from a model where counterparty exposure is high and settlement takes an average of 11 days to one where smart contracts manage the lifecycle of a loan.
In commercial real estate, the focus is on the mechanics of fractional ownership and institutional participation. By digitizing real estate assets, the firm suggests that market participants can unlock secondary market liquidity that was previously inaccessible to the average institutional portfolio. The firm's work is ultimately about understanding the mechanics of this transition before mass adoption occurs. They provide a technical perspective on how DLT is being used to rewrite the infrastructure of capital markets, moving from manual, personnel-heavy compliance to automated, verifiable systems.
Foundational and technical education on digital asset infrastructure and regulatory frameworks.
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