List of Datapeople Platform Customers
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United States
Since 2010, our global team of researchers has been studying Datapeople Platform 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 Datapeople Platform 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 Datapeople Platform for Natural Language Processing include: DoorDash, a United States based Professional Services organisation with 23700 employees and revenues of $10.72 billion, Informatica, a United States based Professional Services organisation with 5200 employees and revenues of $1.64 billion, Coda, a United States based Professional Services organisation with 220 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Datapeople Platform, 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 Datapeople Platform 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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Coda | Professional Services | 220 | $20M | United States | Datapeople | Datapeople Platform | Natural Language Processing | 2022 | n/a |
In 2022, Coda implemented the Datapeople Platform to standardize and accelerate job post creation. The deployment targeted recruiting and talent acquisition workflows within the United States, aligning hiring managers and recruiting teams at Coda.
The Datapeople Platform was used to add recruiting intelligence and optimize job postings through Natural Language Processing capabilities, applying job description analysis, content recommendations, and standardized templates to create more consistent job posts. Functional capabilities implemented included job post optimization, content standardization, and automated guidance to speed kickoff and creation cycles.
The implementation integrated the Datapeople Platform between the hiring team and Coda's applicant tracking system, enabling a content workflow that fed optimized job posts into the ATS and supported recruiter and hiring manager collaboration. Operational coverage focused on recruiting team workflows across Coda's United States hiring activities, with the platform embedded in posting and kickoff processes.
Governance work centered on standardizing job post templates and clarifying workflow handoffs to improve recruiter and hiring manager alignment. According to the vendor case study, the deployment delivered faster kickoffs, more consistent optimized job posts, and improved recruiter and hiring manager alignment.
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DoorDash | Professional Services | 23700 | $10.7B | United States | Datapeople | Datapeople Platform | Natural Language Processing | 2019 | n/a |
In 2019, DoorDash deployed the Datapeople Platform, a Natural Language Processing application, to support talent acquisition and job-ad writing processes across the United States and international markets. The implementation focused on standardizing job content and surfacing recruiting analytics to hiring teams.
The Datapeople Platform was configured to analyze job descriptions, normalize role language, and score postings for candidate quality signals using Natural Language Processing capabilities. Functional capabilities implemented included automated job-content standardization, job scoring to identify high-quality postings, and analytic dashboards that tracked applicant volume and posting quality.
Operational scope covered recruiting and talent acquisition teams across US and international markets, embedding Datapeople Platform outputs into hiring workflows and job-ad creation processes. The deployment emphasized content governance and consistent job-ad templates to reduce variability in postings and enable centralized monitoring of recruiting analytics.
Governance changes included standardized job-content review processes and use of Datapeople Platform scoring to prioritize roles, shifting content owners toward data driven job-ad optimization. Outcomes reported in the vendor case study included average applicants per job increasing by 117% from 2019 to 2021 and high-scoring jobs experiencing approximately 30% decreased time-to-fill.
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Informatica | Professional Services | 5200 | $1.6B | United States | Datapeople | Datapeople Platform | Natural Language Processing | 2024 | n/a |
In 2024, Informatica implemented the Datapeople Platform using Natural Language Processing to standardize job advertisements and hiring workflows across its global recruiting organization. The Informatica Datapeople Platform Natural Language Processing implementation supported recruiting and talent acquisition business functions by centralizing job content creation and editorial guidance.
The deployment leveraged Datapeople First Draft for AI driven writing, paired with guided editing and analytics capabilities consistent with Smart Editor and Insights to enforce role clarity and language consistency. Configuration work focused on standardized job description templates, editorial guidance rules, and automated content quality checks integrated into recruiter and hiring manager workflows.
Operational coverage included talent acquisition teams, recruiting operations, and hiring managers across regions, governed by a centralized content governance model to preserve employer brand and compliance. The program produced analytics to enable data driven recruiting decisions and was reported to improve candidate experience and reduce time to fill according to the case study.
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