Oasive GTM brain

category

market profile

• text: Fixed-income desks gather market data, security disclosures, spreadsheets and PDFs from disconnected sources before analysis can begin.
• text: Municipal bond research platforms compete with established terminals, disclosure repositories and specialist credit databases.

personas

• title: Municipal credit analyst
  pains:

  • Manually collects audited financials, board minutes and local news for each obligor
  • Needs to detect financial deterioration across a growing portfolio without losing source traceability
• title: Agency MBS portfolio manager or analyst
  pains:

  • Needs consistent loan-level collateral and prepayment data to compare pools
  • Must evaluate relative value and scenario risk across an existing book
• title: Rates and macro strategist
  pains:

  • Recurring FOMC, inflation and auction reports require gathering many datasets
  • Needs to explain rich or cheap Treasury valuations and revisit model assumptions

icp

• text: Institutional fixed-income asset managers and credit teams covering municipal issuers such as hospitals and local governments.
• text: Agency MBS desks needing pool screening, proprietary prepayment models and portfolio risk analysis.
• text: Macro and rates research teams seeking a per-user subscription; municipal and MBS packages are custom scoped.

message pillars

• text: Expand issuer coverage by automating source collection and monitoring.
• text: Keep evidence and methodology available to professionals making decisions.
• text: Bring research, models and reporting into a single analyst workflow.

objections

• objection: Can we trust the financial figures and AI summaries?
  response: Evaluate cited financials, source timestamps and methodology against a sample of credits already covered by the team.
• objection: Will it replace our analysts' investment judgment?
  response: Oasive describes decision support that preserves human judgment; evaluate how the desk reviews and challenges outputs.
• objection: How does pricing fit our asset classes?
  response: Macro and rates has published per-user pricing; muni and MBS teams need a custom scope.

competitors

• name: Bloomberg
  why: Bloomberg Terminal supplies bond data and research in an established institutional workflow.
• name: Merritt Research Services
  why: Specialist municipal credit database used for financial and credit research.
• name: LSEG
  why: Provides municipal bond pricing and data analytics to investment teams.

influencers

• name: Anaïs Howland, CFA
  url: https://www.oasive.ai/about
  why: Founder with agency MBS portfolio and AI product experience.

keywords

• municipal bond credit research
• municipal issuer monitoring
• muni bond financial data
• agency MBS prepayment model
• MBS pool relative value
• fixed income research platform
• Treasury rich cheap model

voice

• Analytical and domain-specific
• Evidence-oriented
• Direct

signals

• text: A muni portfolio team is expanding issuer coverage while analysts spend substantial time on local disclosures.
• text: An MBS desk is reviewing prepayment assumptions or comparing pool-level relative value.

pricing

motion

channels

• Research content
• Website
• X
• LinkedIn

confidence

Founders

• name: Anaïs Howland
  title: Founder/CEO
  role: CEO
  bio: Founder of Oasive, which gives bond investors the data, models and research to decide what to buy, from muni credit to agency MBS and rates. I was a quant analyst on Wells Fargo's $350B MBS portfolio and a portfolio manager on Google Treasury's $17B MBS/ABS portfolio, then led product strategy across Google's consumer AI products (AI Overviews, AI Mode, Gemini).