Serafis

What do they actually do

Serafis is a web-based search and discovery product that turns long-form content into structured market intelligence for investment research. Today it focuses on indexing podcast transcripts and exposes them through semantic/vector search, pre-computed tags and analysis, full-context AI queries, personalized feeds, and tag/entity subscriptions and alerts serafis.ai.

A typical user signs up (the Core plan is currently waitlist/request access), searches for a company, person, or theme, and gets back relevant transcript segments with tags and relevance scores rather than just whole episodes. Users can explore connections between people, companies, and themes, run AI questions over the full transcript context, save or subscribe to tags/entities, and get alerts when new relevant content is indexed. Business plans add team spaces and integrations such as Slack and Notion for collaboration serafis.ai.

The company says it is working with institutional investors, wealth advisors, and product/strategy teams, and reports a curated library of 10,000+ transcripts and customers that collectively manage about $70B in AUM. These are company-reported product and traction metrics rather than third-party-verified figures serafis.ai.

Who are their target customer(s)

• Buy-side research analysts at asset managers and hedge funds: They spend hours combing through long interviews to pull quotes and themes, so important mentions are missed or hard to retrieve later. Serafis aims to reduce this time by returning tagged transcript segments and enabling full-context queries serafis.ai.
• Portfolio managers: They need quick, trustworthy evidence for decisions and timely alerts on new, relevant commentary; deep dives are impractical on their schedules. Serafis provides subscriptions/alerts and concise tagged snippets to surface new mentions and themes serafis.ai.
• Product and strategy teams at companies or VCs: They manually hunt through interviews, panels, and posts to find statements on trends or competitors, then stitch findings into briefs. Serafis’ entity/tag graph and semantic search surface connected people, companies, and themes from long-form content serafis.ai.
• Wealth advisors and family offices: They need timely, contextual quotes and summaries to brief clients but can’t process every episode or post, leading to inconsistent monitoring. Serafis centralizes a curated transcript library with alerting to streamline updates serafis.ai.
• Research-ops or analyst teams: They struggle with manual tagging, fragmented notes, and exporting findings into Slack/Notion or memos. Serafis offers pre-computed tags/analysis, team spaces, and integrations to reduce operational overhead serafis.ai.

How would they acquire their first 10, 50, and 100 customers

• First 10: Founder-led pilots with 8–12 buy-side teams that already consume many interviews; run 4–6 week hands-on trials with bespoke extracts, measure time saved, and convert using quantified usage data and short testimonials.
• First 50: Add a senior salesperson to drive targeted outbound to ~200 buy-side teams; convert pilots to paid seats using 1–2 page ROI case studies and run monthly live webinars with real examples to generate demos/inbound trials.
• First 100: Partner with transcript providers and research platforms (reseller/API), add self-serve onboarding and a small-team usage-priced plan, and scale via conference sponsorships, a referral program, and targeted content/SEO.

What is the rough total addressable market

Top-down context:

Global asset managers oversee roughly $128T in AUM (2024), indicating large budgets in the ecosystem, but AUM is not a software budget and is only directional for TAM sizing BCG. The U.S. adviser base is sizable but skewed small, which affects who is serviceable near term IAA.

Bottom-up calculation:

Serviceable organizations include ~500 top global asset managers, ~1,650 hedge-fund firms, and ~5,000 mid/large RIAs, or about 7,150 orgs Thinking Ahead Institute Reuters/HFR IAA. With assumed ARPU tiers of $5k/$30k/$150k, enterprise-only TAM ranges from ~$36M to ~$1.07B annually; adding 10% of 103,093 CFPs as individual users lifts the range to ~$87M–$2.62B CFP Board.

Assumptions:

• Average annual contract values of $5k, $30k, and $150k (pricing not public; used for scenario modeling).
• Serviceable org counts: ~500 top asset managers, ~1,650 hedge-fund firms, ~5,000 RIAs ≥$1B AUM; plus an illustrative 10% adoption of CFP certificants for individual plans.
• Buy-side teams performing primary research are the near-term buyers; procurement and compliance hurdles are surmountable for transcript-based tools.

Who are some of their notable competitors

• AlphaSense: Buy-side focused research platform indexing earnings and expert-call transcripts with sentence-level search, AI summaries, and alerts; widely used by asset managers and overlaps with Serafis on transcript discovery AlphaSense Help center.
• Sentieo (part of AlphaSense): Equity research workflow suite (document search, notebooks, table extraction) used on the buy-side; its transcript and filings search plus note-taking overlaps Serafis’ investor use case Sentieo Announcement.
• Amenity Analytics: Finance-focused NLP that extracts structured events and sentiment from transcripts and filings; used by hedge funds to turn text into quant signals—an adjacent approach to Serafis’ tagging/analysis Amenity Profile.
• Listen Notes: Podcast search engine and APIs/datasets that index audio and transcripts at scale; not finance-specific but a direct alternative for searchable podcast archives and programmatic transcript access Listen Notes Transcription.
• Signal AI: Enterprise media monitoring and intelligence across news, broadcast, regulatory, and social, with entity extraction and alerting; competes on breadth and real-time coverage more than podcast-focused depth Signal AI Press.