List of Atlassian Loom Customers
Atlassian
Level 6, 341 George Street,
Sydney, 2000, NSW,
Australia
Sydney, 2000, NSW,
Australia
61 2 9262 1443
Professional Services
12157
$4.4B
Since 2010, our global team of researchers has been studying Atlassian Loom customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Atlassian Loom for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Atlassian Loom for Natural Language Processing include: Braze, a United States based Professional Services organisation with 1699 employees and revenues of $472.0 million, Intercom, a United States based Communications organisation with 1000 employees and revenues of $343.0 million, LaunchDarkly, a United States based Professional Services organisation with 600 employees and revenues of $65.0 million and many others.
Contact us if you need a completed and verified list of companies using Atlassian Loom, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Atlassian Loom customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Braze | Professional Services | 1699 | $472M | United States | Atlassian | Atlassian Loom | Natural Language Processing | 2022 | n/a |
In 2022, Braze implemented Atlassian Loom to scale in-house video production for marketing and thought leadership. Braze implemented Atlassian Loom, classified under Natural Language Processing, to enable rapid, self service creation of short DIY videos that supported content, demand generation, and product marketing workflows.
The implementation emphasized lightweight recording, hosted sharing, and editorial workflows that removed reliance on external production, enabling marketing teams to increase output frequency. Use of Natural Language Processing capabilities such as automated transcripts and summaries is inferred to have been leveraged to repurpose video into written content and metadata, improving content discoverability across owned channels.
Operational coverage targeted Braze global marketing, notably the London and New York teams, and was embedded into the content pipeline to streamline creation, review, and publishing cycles. The deployment enabled scaled video content without external agencies and is reported to have produced measurable increases in blog traffic and content views, reflecting direct impact on Braze marketing distribution and engagement outcomes.
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Intercom | Communications | 1000 | $343M | United States | Atlassian | Atlassian Loom | Natural Language Processing | 2022 | n/a |
In 2022 Intercom implemented Atlassian Loom to support Sales outreach and internal training, deploying Atlassian Loom as a Natural Language Processing application focused on personalizing outbound sales communications and producing asynchronous training videos. The rollout targeted the Sales organization in the United States and aligned the application to sales enablement and rep onboarding workflows. This placement establishes a direct relationship between Intercom, Atlassian Loom, Natural Language Processing, and the Sales business function.
The implementation emphasized Atlassian Loom’s video messaging and asynchronous recording capabilities to create personalized outreach and reusable training content. Configuration work centered on standardizing video formats and messaging templates for outbound sequences, and on cataloging recordings for enablement use, with inferred use of Loom transcript and summary features that align with Natural Language Processing functionality to refine messaging and index training artifacts. These functional capabilities were applied to accelerate ramping and to make sales content discoverable.
Operational coverage remained within Intercom’s United States Sales teams, affecting outbound prospecting workflows and sales onboarding processes. Governance and workflow changes included enabling sales reps to incorporate short Loom recordings into cold-email cadences and establishing enablement ownership for creating and distributing training videos. Adoption was driven by Sales and enablement functions rather than cross-enterprise rollout.
Intercom reported outcomes tied to the Atlassian Loom deployment, citing a 19% increase in cold-email reply rates and $120k in self-sourced deals attributed to the use of personalized video outreach and training content. The implementation accelerated rep onboarding in the Sales process, with the use of Loom’s Natural Language Processing aligned transcript and summary capabilities inferred as supporting personalization and content indexing rather than explicitly documented in the case study.
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LaunchDarkly | Professional Services | 600 | $65M | United States | Atlassian | Atlassian Loom | Natural Language Processing | 2022 | n/a |
In 2022, LaunchDarkly implemented Atlassian Loom across product and cross functional teams in the United States. The deployment focused on replacing many synchronous meetings, accelerating product development communication, and capturing reusable knowledge for developers and designers, with implementation activity centered on team-level video capture and asynchronous collaboration workflows.
The implementation used Atlassian Loom as a Natural Language Processing tool to surface recorded knowledge and to support asynchronous handoffs between product, engineering and design. The deployment likely leveraged Loom’s NLP capabilities, including automated transcription, summary and search functionality, to make recorded artifacts discoverable and reusable across workflows. The full application name Atlassian Loom is central to the configuration and user adoption narrative.
Operational coverage included product teams and cross functional collaborators within the United States, emphasizing developer and designer knowledge capture rather than enterprise wide IT system integrations. Governance emphasized usage patterns and rollout by function, with teams responsible for creating and cataloging Loom artifacts as part of product development communication practices. Training and adoption were organized around reducing live meetings and building a library of reusable recordings.
Outcomes reported by LaunchDarkly included the elimination of hundreds of meetings in short windows and increased knowledge reuse among developers and designers. The implementation therefore links Atlassian Loom Natural Language Processing to measurable changes in meeting volume and reuse behavior, while the specific technical integrations and implementation partner information were not provided.
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Atlassian Loom Coverage
Atlassian Loom is a Natural Language Processing solution from Atlassian.
Companies worldwide use Atlassian Loom, from small firms to large enterprises across 21+ industries.
Organizations such as Braze, Intercom and LaunchDarkly are recorded users of
Atlassian Loom for Natural Language Processing.
Companies using Atlassian Loom are most concentrated in Professional Services and Communications, with adoption spanning over 21 industries.
Companies using Atlassian Loom are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Atlassian Loom across Americas, EMEA, and APAC.
Companies using Atlassian Loom range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.
Customers of Atlassian Loom include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Atlassian Loom customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.