All Ears
All Ears is a Stockholm-based AI platform that transcribes, indexes, and analyzes spoken media across podcasts, YouTube, TikTok, and broadcast in 11+ languages, serving enterprise brand, PR, and marketing teams with sentiment, reach, and crisis intelligence via SaaS, API, and an MCP server.
- Company typePrivate
- Founded2016
- HeadquartersStockholm, Sweden
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What All Ears does
All Ears AB is a Stockholm-based, venture-backed software company founded in 2016 that operates a voice-first social and media intelligence platform. It captures spoken conversations from podcasts, YouTube (including Shorts), TikTok, broadcast networks, and selected institutional sources such as European parliaments, and uses AI speech recognition and natural language processing to transcribe, index, and enrich the content with sentiment, topic, reach, speaker, and PR value signals. Coverage spans more than 11 languages with claimed 100% Apple Podcasts coverage in five of them. The platform is delivered as a tiered SaaS product (Free/Starter, Team, Enterprise), a native mobile app for iOS and Android, and as programmable APIs including a Model Context Protocol server for AI agent integration. Customers span enterprise brand, PR and marketing teams, mid-market companies, and non-profits, with named users including Walmart, KFC, Hertz, KPMG, E.ON, Telia, Husqvarna, Orkla, Axis, SHL, Red Cross, Sproud, CDON, and Isadora across at least ten verticals.
The company's go-to-market is hybrid: a self-serve product-led funnel for smaller teams and developers sits alongside direct enterprise sales and a growing ecosystem of channel and integration partnerships (Loxias for distribution, Odyssey for brand intelligence, Redpine for AI agent access, validityBase for institutional investor intelligence). Revenue is generated through annual subscriptions for product tiers, custom Enterprise contracts, and usage-based pricing for API access. The company is ISO 27001 certified, has a New York regional office opened in 2022 alongside its Stockholm headquarters, and is backed by Nordic investors Bonnier Ventures and Alfvén & Didriksson following a $6M seed round in November 2021. Headcount is reported at 51-100 employees, with leadership comprising a CPTO co-founder, CEO, CCO, CRO, and a four-person board chaired by Henriette Zeuchner.
All Ears firmographics
Firmographics- Name
- All Ears
- Legal name
- All Ears AB
- Website
- https://allears.ai
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- All Ears is a Stockholm-based AI platform that transcribes, indexes, and analyzes spoken media across podcasts, YouTube, TikTok, and broadcast in 11+ languages, serving enterprise brand, PR, and marketing teams with sentiment, reach, and crisis intelligence via SaaS, API, and an MCP server.
- Ownership category
- akta.pro rank
All Ears industry classification
Industry- Product category
- Social Listening and Media Intelligence
- NAICS
- Other Sound Recording Industries (512290)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Audio & Speech Analytics (call analytics, QA, insights) (HDAAAFAH)
- akta.pro secondary industry
- Podcast Analytics, Measurement & Attribution Platforms (MPAIADAL)
Keywords
Where All Ears is headquartered
LocationHeadquarters
- HQ city
- Stockholm
- HQ country
- Sweden
- HQ region
- Europe
Offices2 records
Markets served
All Ears business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- SaaS Subscription: Subscription-based access to the spoken media intelligence platform with tiered pricing based on usage volume and features. Includes API access for developers and enterprise integrations.
- API Usage-Based Pricing: Usage-based pricing for API calls and data consumption, allowing customers to pay based on volume of transcribed content and API requests.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Growth Plan - Mid-market tier with expanded features |
| Subscription | Annual | Enterprise Plan - Large organization tier with full feature access |
| Usage-based | Pay-as-you-go | API Usage-Based Model |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels5 records
All Ears product offering
Product offeringCore offering
All Ears provides an AI-powered spoken media intelligence platform that transcribes, indexes, and analyzes voice and video content from podcasts, YouTube, TikTok, YouTube Shorts, and broadcast networks in over 11 languages. The platform transforms unstructured audio conversations into searchable, structured data with sentiment analysis, reach metrics, PR value estimation, and crisis detection, primarily serving brand monitoring, PR measurement, and market intelligence use cases for enterprise and mid-market customers.
Product overview
All Ears is a voice-first intelligence platform offering a unified SaaS product with modular pricing plans and API access. The core All Ears Platform provides AI-powered monitoring and analysis of spoken media across podcasts, TikTok, YouTube, and broadcast networks, supplemented by a Mobile App for on-the-go access. The product portfolio includes the All Ears API and MCP Server for programmatic access and AI agent integration, with tiered pricing plans (Starter, Team, Enterprise) and add-ons like YouTube Shorts coverage. The platform transforms raw audio and video into structured data including sentiment, reach, and PR value metrics, delivered through customizable dashboards and reports.
Differentiator
Problem solved
Functional benefit
Products and services
- All Ears Platform AI-powered SaaS platform that monitors, measures, and analyzes spoken media across podcasts, TikTok, YouTube, YouTube Shorts, and broadcast networks in over 11 languages, transforming unstructured voice and video conversations into searchable, measurable insights with sentiment, reach, PR value, and crisis detection for brand management and PR teams.
- All Ears API Programmatic API providing structured spoken media signals for continuous real-time tracking with sentiment, topic, reach, and point-in-time queries, enabling integrations with Slack, Teams, Looker, Tableau, HubSpot, Salesforce, and partner platforms. Pricing tiers include Free, Start ($249/year), Pro ($995), and Enterprise with unlimited usage.
- All Ears MCP Server Model Context Protocol server built on the open MCP standard that connects All Ears spoken media intelligence to leading AI platforms and agent frameworks, enabling AI agents to query structured voice data for brand research, financial signals, crisis monitoring, and trend analysis.
- All Ears Mobile App Native mobile application for iOS and Android that brings spoken media monitoring to users on the go, allowing viewing of active monitors, keyword search, listening to latest mentions, team sharing, and real-time alerts.
Companies that use All Ears
Customer profileNamed customers14 records
Segments3 records
Ideal customer profiles3 records
All Ears technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration11 records
AI capability9 records
Feature3 records
All Ears partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered flagship, core and minor.
- validityBase (vBase)flagshipStrategic partnership announced December 18, 2025, focused on validating and enhancing data quality for spoken media intelligence. The partnership strengthens All Ears' ability to provide accurate and reliable media intelligence data.
- LoxiascoreStrategic distribution partnership where Loxias and All Ears collaborate to close gaps in spoken media intelligence coverage. Loxias distributes All Ears' capabilities to their customer base, expanding market reach.
- RedpinecoreTechnology integration partnership making All Ears' spoken media observations available to AI agents through Redpine's platform. Enables AI applications to access real-time spoken media intelligence data.
- OdysseyminorBrand intelligence partnership leveraging combined capabilities for enhanced market research and brand monitoring services. New partnership focused on collaborative go-to-market activities.
- WASP Research Arena Media and Language (WARA M&L)minorAcademic research partnership where WARA M&L joined as an industry partner, contributing to research initiatives in media and language processing. Supports All Ears' R&D efforts and provides academic credibility.
Scale indicators5 records
Recent moves8 records
Expansion highlights6 records
All Ears competitors and assessment
Company assessmentDirect peers
- Veritonic: Audio analytics platform measuring podcast and audio advertising effectiveness, audience engagement, and brand lift. Direct competitor in audio intelligence, focused on podcast advertising measurement and brand performance analytics.
- Sounder: Podcast intelligence platform using AI for transcription, discovery, and brand safety in spoken audio. Competes directly in AI-driven podcast analytics and measurement, similar in target market and technology.
- Magellan AI: Podcast and audio advertising analytics platform providing competitive intelligence, share of voice, and verification for podcast advertisers. Directly comparable in podcast measurement and analytics capabilities.
- Signal AI: AI-powered media monitoring and market intelligence platform covering news, broadcast, podcast, and regulatory content. Closely comparable in applying AI/NLP to media intelligence for enterprise brand and risk monitoring.
- TVEyes: Broadcast monitoring and media intelligence service providing searchable transcripts of radio and TV content. Comparable in transforming broadcast/spoken media into searchable intelligence for PR, legal, and enterprise use cases.
- Podscribe: Podcast attribution and analytics platform measuring ad performance, downloads, and audience insights. Direct competitor in podcast measurement with overlapping enterprise brand and agency customer base.
- Critical Mention: Broadcast and online media monitoring platform providing PR and communications teams with real-time media intelligence. Overlaps with All Ears in monitoring spoken/visual media for enterprise brand and PR use cases.
Broad incumbents
- Brandwatch: Established social listening and consumer intelligence platform owned by Cision. Competes in the broader media monitoring space where All Ears operates, with cross-channel text and image analytics but historically limited audio capabilities.
- Talkwalker: Consumer intelligence and social listening platform with AI-powered analytics across social, news, and broadcast. Comparable enterprise customer base for brand monitoring, with stronger image/video but less podcast specialization.
- Meltwater: Global media intelligence and social listening platform serving enterprise PR and marketing teams. Overlaps with All Ears in brand monitoring and PR measurement, with substantially broader channel coverage but less audio specialization.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
All Ears social profiles
Digital presenceAll Ears compliance and trust
Trust signalCompliance1 record
All Ears financial estimates
Financial estimateRevenue estimate
Valuation estimate
All Ears leadership team
Management profileNumber of profiles
Profiles8 records
All Ears funding detail
Funding detailFunding overview
Funding rounds3 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
All Ears M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about All Ears
What does All Ears do?
All Ears provides an AI-powered spoken media intelligence platform that transcribes, indexes, and analyzes voice and video content from podcasts, YouTube, TikTok, YouTube Shorts, and broadcast networks in over 11 languages. The platform transforms unstructured audio conversations into searchable, structured data with sentiment analysis, reach metrics, PR value estimation, and crisis detection, primarily serving brand monitoring, PR measurement, and market intelligence use cases for enterprise and mid-market customers.
Is All Ears a public or private company?
All Ears is a private company. It is classified as venture growth investor backed and is currently operating.
When was All Ears founded?
All Ears was founded in 2016. It employs 51 to 100 people.
Where is All Ears based?
All Ears is headquartered in Stockholm, Sweden, in the Europe region.
How does All Ears make money?
Two revenue lines are on record. SaaS Subscription is the primary driver. The others are API Usage-Based Pricing.
Who are All Ears's main competitors?
Direct peers on record are Veritonic, Sounder, Magellan AI, Signal AI, TVEyes, Podscribe and Critical Mention. Broad incumbents are Brandwatch, Talkwalker and Meltwater.
Does All Ears have an API?
Yes. Programmatic access to structured spoken media signals for monitoring, search, and integration. The API enables continuous real-time tracking with sentiment, topic, and reach; point-in-time queries against observations; and streaming of structured voice data. Supports integrations with Slack, Teams, Looker, Tableau, HubSpot, and Salesforce. Data flow includes capture from 20m+ sources across podcasts, TikTok and YouTube, transcription using AI models, enrichment with topics, sentiment, speaker tags, and delivery as structured searchable data. Pricing tiers include Free (100 mentions, 1 monitor), Start ($249/year, up to 10,000 mentions), Pro ($995, up to 50,000 mentions, 5 monitors), and Enterprise (unlimited mentions and monitors). Developer documentation is at allears.ai/api/v1/docs.
What industry is All Ears in?
All Ears's product category is Social Listening and Media Intelligence. Its primary akta.pro industry code is HDAAAFAH, Audio & Speech Analytics (call analytics, QA, insights), with a secondary code of MPAIADAL, Podcast Analytics, Measurement & Attribution Platforms. Its NAICS code is 512290 and its SIC code is 7370.