Oasive brings bond analytics out of stealth with YC backing
Founder Anais Howland is selling rates research for $200 per user monthly and an agency MBS platform for $12,000 a year.
By Ryan Merket · Published
Primary source: X
Why it matters
Oasive is taking a domain-specific route into institutional AI: sell fixed-income research and MBS analytics at per-seat prices, with the founder's portfolio-management experience shaping the first use cases.
Oasive came out of stealth on September 23rd, with founder Anais Howland, CFA (@AnaisHowland18) saying the fixed-income startup is backed by Y Combinator. Howland is building software for bond investors around a market she worked in before moving into technology: she says she worked on Wells Fargo's $350 billion mortgage-backed securities portfolio, managed part of Google Treasury's $17 billion MBS and asset-backed securities portfolio, and later led product strategy across Google's consumer AI products.
https://x.com/AnaisHowland18/status/2102850495433920965
That experience defines Oasive's first products. The platform combines macro and rates research with tools for valuing Treasuries and analyzing agency mortgage-backed securities, or MBS. Howland's announcement thread on X describes workflows for comparing maturities, testing yield-curve trades, reviewing mortgage pools and modeling how rate or prepayment assumptions affect a portfolio. The company's product description says its platform brings market research, security analysis and quantitative models into one workflow, with sources and assumptions visible to users.
Oasive is selling the research and analytics as distinct products. Its website lists a Macro and Rates Research subscription at $200 per user per month, with Treasury valuation tools, research, reports and unlimited chat. The agency MBS platform is priced at $12,000 per user per year, paid upfront, with access arranged after a demo. Oasive also offers two selected macro and rates reports a month for free. Those prices make the product's commercial wager unusually legible: Howland is asking institutional users to pay for domain-specific analysis, rather than treating a general-purpose AI chatbot as sufficient for bond work.
The MBS product is the sharper test of that wager. Oasive says users can screen mortgage pools using collateral data and proprietary prepayment models, then compare spreads and duration under changed assumptions. Its examples include comparing pools by loan balance and examining delinquencies, forbearance and prepayment behavior. Those tasks involve security-level data and assumptions that can change a valuation; Oasive's pitch is that the software can help analysts move from a market view to a trade decision while exposing the reasoning behind the result. The company describes those capabilities, but its launch thread offers no independent performance data for the models.
Howland says Oasive is already used across more than 15 institutional desks, including global banks, asset managers with over $100 billion in assets under management, and Fortune 500 treasury teams. Those are company-reported figures; the post does not name the institutions or say how many users at each organization are active. The claim suggests the product has been tested with professional buyers before this broader access push, while leaving the scale and depth of that use difficult to assess.
Y Combinator lists Oasive in its Fall 2026 batch and identifies Howland as founder and CEO. The accelerator profile also lists the company as founded in 2025, based in San Francisco, and with a team size of one. Howland's own account puts the founding thesis in direct terms: after managing fixed-income portfolios, she is building a platform to help more investors find value and act on it.
Oasive plans to expand into municipal bonds, asset-backed securities and corporate bonds, and says it is working toward portfolio monitoring and recommendations. For now, its commercial entry point is narrower: macro and rates research plus agency MBS analytics. That focus lets Howland sell against a defined set of desk workflows she knows firsthand. The challenge will be showing that Oasive's models and research save enough analyst time or improve enough decisions to justify a recurring per-seat bill, particularly at the MBS tier. The launch lays out the product and pricing; it does not disclose customer names or adoption figures beyond the company's desk-count claim.