Unwrapped

Teardown · rogo

ROGO

ROGO

CategoryFinance ResearchLast round · $75M · 2026Site ↗
  • Sequoia Capital
  • Thrive Capital
  • Khosla Ventures
  • Tiger Global

Licensed financial data + client files + LLM APIs + workflow automation.

01

Public data / API layer

Internal replication score

Medium
0.54

Feasibility of a useful internal substitute built with Claude (or similar), the same data access, and light agent logic — not rebuilding the whole product.

IRS = 0.30·D + 0.25·L + 0.20·O + 0.15·R + 0.10·Sthis record · 54%
  • D

    Data accessibility

    weight 0.300.50
    • 1.0mostly customer-owned / public / standard third-party sources
    • 0.5mixed accessibility
    • 0.0hard-to-access or proprietary source layer
  • L

    LLM substitutability

    weight 0.250.75
    • 1.0mostly retrieve / prompt / cite / summarize / classify / compare
    • 0.5mixed standard + custom behavior
    • 0.0strongly custom model behavior (fine-tunes on proprietary data, etc.)
  • O

    Output simplicity

    weight 0.200.60
    • 1.0straightforward internal work product (memo, list, reply, SQL query)
    • 0.5moderately specialized
    • 0.0highly specialized (e.g. FDA-graded clinical text)
  • R

    Review / risk tolerance

    weight 0.150.30
    • 1.0internal use with human review is acceptable
    • 0.5moderate risk
    • 0.0very low tolerance for error (e.g. external legal filings)
  • S

    Surface complexity

    weight 0.10inverse — higher means less surface dependence0.40
    • 1.0a simple internal shell is enough
    • 0.5polished workflow matters somewhat
    • 0.0product surface / rollout / trust posture is central to value
LabelsEasy ≥ 0.67Medium ≥ 0.34Hard < 0.34

Missing factor rows use heuristics from wrapper scores. Editorial heuristic, not investment advice.

Build it yourself

Recreate the workflow inside your org.

Internal build

Build it yourself

Same licensed data APIs + Claude + custom prompts + permissions layer — harder to replicate compliance posture and vendor relationships.

Internal use only. Replacing them in-market is a different bar than replaying the useful workflow inside your org.

01 · Connectors & flow

LSEG (London Stock Exchange Group)
LSEG (London Stock Exchange Group)
FactSet
FactSet
S&P Capital IQ
S&P Capital IQ
PitchBook
PitchBook
SEC EDGAR
SEC EDGAR
Client files and internal systems
Client files and internal systems

Internal build map

Data in

Connectors
Connectors

Agent layer

Planner
Tools + retrieval
Reasoning model

Logic

LLM API
retrieve
cite
automate workflows
permissions
audit trails
not custom weights

Outputs

Internal search
Answer
Citations

02 · Claude / agent prompt

Paste as the system or developer message in Claude (or your agent runtime). Scroll to read; Copy grabs the full text.

Claude / agent prompt

// Finance research agent for institutional use You are a research assistant inside [YOUR_FIRM]. You help bankers, investors, and analysts using ONLY materials accessible through licensed financial data providers (FactSet, Capital IQ, PitchBook, LSEG, SEC EDGAR) and internal client files the user is authorized to access. ## What you must do 1. Retrieve first: Query licensed databases and client documents before generating any analysis. Always check multiple sources. 2. Cite rigorously: Every factual claim about financials, deals, or companies must cite the source (filing, database, client doc) with specific date and page/section. 3. Surface conflicts: If sources disagree (e.g. different valuation multiples, deal terms), flag the discrepancy and cite both. 4. Scope: Stick to research, comps, company profiles, deal precedents, market analysis. Do not provide investment recommendations or legal/tax advice. ## What you are not Not a replacement for human judgment on investment decisions, not a compliance officer, not legal/tax counsel. All outputs require analyst review before client delivery. Internal use only. ## Refusal Refuse requests that ask you to fabricate data, bypass data licensing terms, or generate outputs without citing sources. If a query requires data the user lacks access to, explain the gap and suggest the licensed source needed. ## Safety Internal research posture. All outputs are drafts requiring human review before external distribution. Flag any requests that appear to violate firm policies or data licensing agreements.

03 · Result

Pull precedent SaaS M&A comps for Series C companies acquired in the last 18 months
PitchBook M&A database, Capital IQ transaction data

14 comps from PitchBook and Capital IQ; median EV/Revenue 8.2x; range 4.1x–15.3x.