AlphaSense

AlphaSense

AlphaSense is an advanced AI platform for market and competitive intelligence, providing access to over 500 million premium financial and business documents, including expert transcripts, broker research, and company filings. Key capabilities include real-time insights, integrated workflows with tools like PowerPoint and Excel, and generative AI for synthesized answers with citations to avoid hallucinations. It targets professionals in finance, consulting, and corporate strategy who need data-driven decision support.

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Added on
Sep 30, 2026
Monthly Visits
473.3K
AI Market SearchExpert InsightsDeep ResearchOffice Add-InsFinancial DataSentiment AnalysisMarket Intelligence
Product information

Everything worth knowing about AlphaSense

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

AI-Powered Market Search
Search through 500+ million premium financial and business documents using advanced AI for actionable insights.
Expert Insights Integration
Access high-quality expert transcripts and calls from Tegus for real-time market intelligence and due diligence.
Deep Research
Use leading-edge generative AI reasoning models to generate comprehensive reports with sentence-level citations.
PowerPoint & Excel Add-Ins
Generate slide decks and financial models directly in MS Office, with every output cited and traceable.
Sentiment Analysis
Adaptive AI reveals true sentiment behind earnings calls and market signals through sentiment indices.
Financial Data Access
Access fundamental, market, and transaction data from trusted sources alongside internal content.
Technical capabilities
Connectors
Integrate external applications with the AlphaSense platform for streamlined, connected workflows.
Must watch videos
Beyond the Platform: Securing AI where your work actually happens | AlphaSense (part 2 of 3)
30:44
Tutorial30:44
Beyond the Platform: Securing AI where your work actually happens | AlphaSense (part 2 of 3)
The security perimeter used to be something you could draw on a whiteboard. Data lived in your platform. If you wanted to work with it, you came to the platform. Anything that left was by design. SaaS eroded that, and AI has now pushed it well past where SaaS started. Today, work happens wherever your team has presence, and that "user" isn't always a person. It could be a subagent, an MCP connector, or an add-in running inside Excel. Larry Sica, VP of Product Security at AlphaSense, returns for Part 2 of the "From Assistant to Agent" security series, joined by Michelle Turner, Director of Product Marketing, for a technical working session on what changes when AI reaches out through connectors, add-ins, and APIs into the tools your team already uses. What you'll hear: - Why the perimeter has moved from device to network to presence, and what that means for how sessions cross device boundaries - The 6 attack vectors that just opened up or fundamentally changed: credentials, data movement, MCP trust boundaries, tool connectedness, supply chain amplification, and agent tenacity - Why zero trust is no longer optional, and how AlphaSense verifies the where, the who, and the why on every request - Why the 3 paths in (API, MCP connector, add-in) converge onto a single security channel, and how that avoids maintaining 3 separate control sets - 4 protections that hold true across every hop: end-to-end and at-rest encryption, entitlement inheritance from source systems, least-privilege short-lived tokens, and full audit logging - The 8 principles of what "good" looks like, grouped into what you assume about input, how you contain what runs, and how you know what happened - Why AlphaSense treats all uploaded content and retrieved data as data, never as instructions, to structurally resist prompt injection - How AlphaSense evaluates every third-party connector: identity model (per-user OAuth, not service accounts), data classification, and governance review - Why AlphaSense has denied connectors outright when they only supported service-account authentication - How AlphaSense in Excel and PowerPoint runs on managed endpoints inside your estate: deployment via Microsoft 365 admin center, no local admin required, no listening ports, and consent-based logging - Why zero data retention means the same thing everywhere at AlphaSense, and why Claude Code's ZDR is different from Claude Chat's ZDR by default 00:00 Welcome and Housekeeping 02:14 Meet Larry Sica, VP of Product Security 02:59 Beyond the Platform: What Changes When Work Leaves the Perimeter 03:34 From 4 Walls to Presence: The New Boundary 05:17 The 6 Attack Vectors That Just Changed 06:20 Supply Chain, Amplification, and Agent Tenacity 07:57 Why Zero Trust Is No Longer Optional 08:18 The 3 Questions: Where, Who, and Why 10:23 3 Doors, One Path: API, MCP, and Add-Ins 12:14 The 4 Protections Every Hop Must Carry 13:31 8 Principles: What We Assume, How We Contain, How We Know 13:51 Treating Every Input as Data, Never as Instructions 14:21 Isolating Execution, Ephemeral Sandboxes, and Least Privilege 15:11 Data Controls and Limiting Outbound Access 15:36 Why Zero Data Retention Has to Mean Zero 16:05 Observability and Layered Guardrails 17:32 How We Evaluate Every Connector 18:59 Building Our Own Connectors: Default Read-Only, Sandboxed Testing 20:01 Vendor Risk Reviews Before Any Code Is Written 20:26 The Distribution Problem: Marketplaces and Admin Approval 21:11 Excel and PowerPoint: Running on Managed Endpoints Inside Your Estate 22:19 Shared Machines, Session Isolation, and SSO 22:56 Network Access, Allow Lists, and Consent-Based Logging 23:28 What Happens When Things Fail 23:49 Certifications and Continuous Testing 24:07 Questions to Ask Any Vendor Using AI 25:29 Q&A: How AlphaSense's Security Posture Is Different 26:26 Q&A: What ZDR Actually Means Across Frontier Models 27:16 Q&A: Prompt Injection as an Input and Output Problem 27:57 Q&A: AlphaSense Direct vs Through Claude 30:04 Closing and Session 3 Preview Plus Q&A on how AlphaSense's security posture differs from competitors, why AlphaSense treats prompt injection as both an input and an output problem, and when to use AlphaSense directly vs through a general-purpose tool like Claude. For CISOs, product security leaders, IT and procurement teams, and anyone responsible for the enterprise AI stack. --- AlphaSense is a market intelligence and search platform used by the world’s leading companies and financial institutions. Learn more at https://www.alpha-sense.com
The Signal Room by AlphaSense
1:21
Tutorial1:21
The Signal Room by AlphaSense
Decision grade AI is the only AI you can trust when you can't afford to be wrong. At The Signal Room, strategy leads saw exactly why. Every output traces back to a source, SuperAnalyst remembers what you tell it so you never repeat yourself, and a data foundation deep enough to substantiate every answer.
The Data Advantage: Why trusted data matters for AI | AlphaSense (part 1 of 3)
32:35
Tutorial32:35
The Data Advantage: Why trusted data matters for AI | AlphaSense (part 1 of 3)
When enterprises evaluate an AI product, the first question is almost always: which model are you using? Larry Sica, VP of Product Security at AlphaSense, argues that's the wrong question. If a vendor swapped models under the hood tomorrow and told you nothing, would you even notice? For most products, the answer is no. And that tells you something important about where the value, and the risk, actually sit. In the first session of the AlphaSense "From Assistant to Agent" security series, Sami Isman sits down with Larry for a technical, honest working session on why AI trust is won or lost at the data layer, and what a rigorous approach actually looks like. What you'll hear: - Why the model layer is commoditizing fast, driven by availability, convergence on general benchmarks, and low switching cost - The 3 failure modes that surface when you connect data sources together, and why the silent failure (a wrong answer that looks right) is the most dangerous in an agentic world - The 3 primary data buckets every enterprise deals with: publicly sourced, licensed, and internally generated, and what changes when AI starts consuming all three - How the CIA triad (confidentiality, integrity, availability) still holds up as the operating model, and what specifically sits under each pillar at AlphaSense - Identity and access: SSO, MFA, OAuth, ACL pass-through from source systems like SharePoint, and why fail-close is the right default - Encryption, bring your own key, and bring your own bucket for full customer control - Integrity in practice: scanning code, dependencies, licenses, secrets, and agent skills before they reach production, plus evaluating AI outputs over time as model behavior drifts - Availability: designing for failure, redundancy across failure domains, and model routing when a provider degrades - The 2 paths data can take: ingested with a governed working copy, or live-retrieved with nothing kept afterward - The 4 principles of content governance: curation (why AI slop is worse than no grounding at all), zero data retention with all frontier model providers, retention and removal SLAs, and centralized immutable audit trails 00:00 Welcome and Housekeeping 01:26 Meet Larry Sica, VP of Product Security 02:39 The Wrong Question: Which Model Are You Using? 04:43 Why the Model Layer Is Commoditizing Fast 06:10 Where the Advantage and the Risk Both Sit 07:23 3 Failure Modes When Connecting Data Sources 08:43 The 3 Data Buckets: Public, Licensed, and Internal 10:05 Governance: Why Your Content Never Trains the Model 11:35 The CIA Triad: A Simple Framework With Deep Details 12:57 Confidentiality: SSO, MFA, and ACL Pass-Through 15:08 Encryption, Bring Your Own Key, and Bring Your Own Bucket 16:15 Integrity: Scanning Code, Dependencies, and Skills 17:45 Evaluating AI Outputs as Model Behavior Drifts Over Time 18:06 Availability: Designing for Failure 19:22 The Series Ahead: Connectors and Autonomous Agents 20:01 Ingested vs Live Retrieval: 2 Paths, Same Standards 22:55 The 4 Principles of Content Governance 25:23 Joining Systems: Where Trust Is Easiest to Lose 27:10 Why a Strong Foundation Determines Everything Above It 28:52 Say What You Do, Do What You Say 30:52 Building Trust You Can Audit 31:46 Closing and Session 2 Preview Plus Larry's "say what you do, do what you say" test for security claims, and why ISO and SOC 2 Type 2 audits exist so customers don't have to take a vendor's word for any of it. For CISOs, product security leaders, IT and procurement teams, and anyone building the enterprise AI stack. --- AlphaSense is a market intelligence and search platform used by the world’s leading companies and financial institutions. Learn more at https://www.alpha-sense.com

Who uses it

Real use cases, no hype
Competitive Intelligence
Monitor competitors and market trends in real-time
Due Diligence
Streamline research for investments and acquisitions
Market Research
Analyze industry reports and expert insights
Financial Modeling
Access earnings calls and data for analysis
Strategic Planning
Gain insights to inform business strategies
Legal Research
Simplify case preparation with legal documents
ESG Analysis
Track environmental, social, and governance factors
What's great
  • Access to 500+ million premium documents
  • AI insights with sentence-level citations
  • Seamless Excel and PowerPoint integration
  • Trusted by 7,000+ major enterprises
Technical strengths
  • Domain-specific NLP for accurate analysis
  • Real-time alerts and custom workflows
  • Enterprise-grade security and compliance
Where it falls short
  • Expensive subscription tiers
  • Steep learning curve for advanced features
  • Limited offline functionality
Technical limitations
  • Data latency in some third-party sources
  • API access may require extra licensing
For technical folks

The deep-dive specs

FAQ

Includes technical Q&A
AlphaSense is an AI-powered market intelligence platform providing access to financial documents, expert transcripts, and analytical tools.

Traffic Insights

Monthly Visits

473.3K

October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Search

Top Country

United States

57% of traffic

Top Countries Breakdown

United States
57%
India
8%
United Kingdom
7%
Canada
3%
Singapore
2%

Growth Trend

Stable

Traffic has remained stable.

Honest pricing

No sneaky tiers, no “contact sales”

Here's who each plan is actually for — and where the hidden charges might hit.

Free Trial
Free

Users

    View Full Plans & Pricing on AlphaSense

    Official pricing, checkout, and plan upgrades are handled directly on alpha-sense.com.

    Reviews

    What the internet actually thinks

    Data refreshed weekly. No paid placements.

    Trustpilot
    Not reviewed yet
    G2
    G2
    Not reviewed yet
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    Capterra
    Not reviewed yet
    Product Hunt
    Not reviewed yet
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