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AlphaSense vs Rose AI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Public API
AlphaSense has one; not confirmed by us for Rose AI
Higher Trust score
AlphaSense — 89 vs 83 for Rose AI
Best fit
AlphaSense: Buy-side and sell-side analysts who need filings, transcripts and broker notes searchable in one place · Rose AI: macro and cross-asset researchers stitching together series from several vendors
Platforms
AlphaSense: Web, iOS, Android · Rose AI: Web
Status
Both up at our last check (Sep 6, 2026)

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactAlphaSenseRose AI
CategoryMarket & Competitive ResearchData Analysis Assistants
Pricing modelContactContact
Public APIYesNot confirmed
Trust score89 / 10083 / 100
PlatformsWeb, iOS, Android, APIWeb
CompanyAlphaSense Inc.Rose Technology
Launched2011—
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

AlphaSense

If your team already pays for broker research and expert calls, AlphaSense is the search layer that makes that spend usable, and the citations are granular enough to check rather than trust. It is an enterprise contract with a sales cycle, not a tool you try on a card, and the generative features are only as good as the content sets your subscription unlocks.

Pros

  • One index over filings, broker research, transcripts and the Tegus expert-call library
  • Sentence-level citations on generative answers, so claims can be traced back to the document
  • Office integration through Excel and PowerPoint add-ins plus iOS and Android apps
  • Developer portal for pulling content and search into internal tools

Cons

  • No public pricing; annual contracts quoted by sales
  • Premium content such as broker research and expert calls depends on which packages and add-ons you buy
  • Enterprise rollout and training are part of the deal, which slows a small team down
  • Heavy consolidation of acquired products makes the feature set hard to map before a demo

Rose AI

Deliberately narrow: a data-discovery and charting layer for buy-side and macro research, not general BI. The only question that matters in evaluation is whether its catalogue actually carries the series you need.

Pros

  • source traceability on every chart, which matters for review and audit
  • natural-language querying aimed squarely at non-programmers
  • handles external licensed data and internal series in the same workspace
  • front-end assets were rebuilt as recently as mid-2026, so it is actively maintained

Cons

  • the site is a JavaScript app with almost no public product detail — evaluation requires a demo
  • no published pricing and no public API documentation
  • small team, with the last disclosed funding round back in 2021
  • competes with entrenched Bloomberg and FactSet workflows

Which one fits

Choose AlphaSense if you need

  • Buy-side and sell-side analysts who need filings, transcripts and broker notes searchable in one place
  • Corporate strategy and competitive intelligence teams tracking a sector across earnings seasons
  • Consulting teams that want expert-call transcripts and cited briefs without running interviews themselves

Choose Rose AI if you need

  • macro and cross-asset researchers stitching together series from several vendors
  • investment teams that want charts without opening a Python notebook
  • data vendors looking for a permissioning and distribution channel
  • compliance-sensitive work where every number must trace to a source

AlphaSense vs Rose AI: the questions people ask

Which has a public API, AlphaSense or Rose AI?

AlphaSense ships a public API, as of our last verification. A public API for Rose AI is not confirmed by us — check its developer docs before you plan an integration.

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