List of Sapia AI Customers
Sapia&Co
216 Lower Heidelberg Road, Ivanhoe East,
Melbourne, 3079, VIC,
Australia
Melbourne, 3079, VIC,
Australia
61 4 6891-5348
Professional Services
80
$10M
Since 2010, our global team of researchers has been studying Sapia AI 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 Sapia AI for Video Interviewing, Interview Scheduling 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 Sapia AI for Video Interviewing, Interview Scheduling include: Woolworths Supermarkets, a Australia based Retail organisation with 197773 employees and revenues of $39.70 billion, Kmart Australia, a Australia based Retail organisation with 46000 employees and revenues of $8.08 billion, Joe & The Juice, a Denmark based Leisure and Hospitality organisation with 4000 employees and revenues of $1.00 billion, Benetas, a Australia based Healthcare organisation with 1954 employees and revenues of $140.0 million, London North Eastern Railway, a United Kingdom based Transportation organisation with 220 employees and revenues of $66.0 million and many others.
Contact us if you need a completed and verified list of companies using Sapia AI, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Benetas | Healthcare | 1954 | $140M | Australia | Sapia&Co | Sapia AI | Video Interviewing,Interview Scheduling | 2024 | n/a |
In 2024, Benetas deployed Sapia AI as part of its Video Interviewing,Interview Scheduling tooling to support high volume recruitment activity. The implementation targeted AI screening and candidate assessment workflows to accelerate volume hiring of Care Workers and Nurses and to support critical roles in regional areas.
The Sapia AI implementation was delivered with a focus on screening and assessment capabilities typical of Video Interviewing,Interview Scheduling platforms, and included analysis and mapping of current and future state, project management, change management, user acceptance testing and training. The internal Project Capability Lead for People & Talent Systems managed configuration and ownership activities, and retained technical administration responsibilities alongside the organisation's CRM ATS PageUp and HRIS Tech1 to ensure alignment across talent systems.
Operational governance emphasized Talent Acquisition process redesign, workforce planning inputs, organisational design coordination, early careers and retention program interfaces, and stepped rollout with communication strategies and training for the Talent Acquisition team. UAT and configuration controls were applied to the Sapia AI deployment to embed screening workflows into Benetas recruiting operations and to provide a governed implementation pathway for subsequent People tech roadmap work.
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Joe & The Juice | Leisure and Hospitality | 4000 | $1.0B | Denmark | Sapia&Co | Sapia AI | Video Interviewing,Interview Scheduling | 2025 | n/a |
In 2025, Joe & The Juice implemented Sapia AI for Video Interviewing,Interview Scheduling to standardize frontline hiring across HR and retail hiring in its markets. The deployment focused on store-level recruitment and central HR screening workflows, aligning chat-based assessment with operational hiring processes across Joe's market footprint.
The Sapia AI rollout configured automated chat interviews that replaced CV-first screening, integrated personality insights, and enabled multilingual assessment options. Functional modules included chat interviewing, personality profiling, structured candidate feedback, and candidate scoring to support consistent shortlisting and interview scheduling.
Sapia AI was integrated with the ATS Recruitio to pass chat interview outcomes, personality insights, and candidate feedback into the existing applicant tracking workflow, enabling synchronized candidate records and scheduling actions. The integration supported operational continuity between store hiring teams and central HR, maintaining a single candidate record in Recruitio while surfacing chat assessment data to recruiters and hiring managers.
Governance centered on standardized chat interview templates and feedback loops for inclusion and candidate experience, with rollout coverage across HR and retail hiring teams. The case study reports concrete outcomes including a 26% reduction in screening time, a saving of about one recruiter day per week, improved inclusion and candidate feedback, and a 9.1 out of 10 candidate satisfaction rating.
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Kmart Australia | Retail | 46000 | $8.1B | Australia | Sapia&Co | Sapia AI | Video Interviewing,Interview Scheduling | 2023 | n/a |
In 2023, Kmart Australia implemented Sapia AI for Video Interviewing,Interview Scheduling as the standardized first-step assessment for frontline roles across Kmart and Target. The deployment introduced a mobile-first, chat-based interview as the initial screening touchpoint for every applicant, shifting the funnel away from CV screening and toward structured natural language responses captured in an untimed, text-based format.
The implementation configured Sapia AI to run a five-question, structured interview tuned to store-specific success traits such as customer focus, teamwork, learning agility, comfort in a high-paced environment and drive for results. Sapia AI’s scoring workflow was designed to be blind to CV and demographic data, producing explainable candidate recommendations and an automated personalised feedback report returned to every applicant regardless of outcome.
Operationally the solution was embedded into recruiter and hiring manager workflows so that shortlisted candidates arrive with structured, explainable insights rather than raw CV stacks. Recruiters were repositioned to focus on talent pooling, workforce planning and partnering with store leaders while hiring managers retained final decision authority, consistent with a human-in-the-loop co-pilot governance model. Kmart Group leaders were advised to integrate assessment outputs with HRIS workflows and to involve store operations early in design, and the program included monthly outcome monitoring as part of operational governance.
Outcomes reported by Kmart Group include a 73 percent reduction in time to hire, from an average of 44 days in 2023 to 11.8 days after rollout, retention approximately 2.5 times higher for AI-matched hires, First Nations representation among hires at 8.25 percent versus a 3 percent market benchmark, roughly 3.5 percent of hires identifying as having a disability, and a candidate satisfaction score of 9 out of 10. These results were achieved while ensuring consistent candidate experience and providing every applicant structured feedback via Sapia AI.
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London North Eastern Railway | Transportation | 220 | $66M | United Kingdom | Sapia&Co | Sapia AI | Video Interviewing,Interview Scheduling | 2023 | n/a |
In 2023, London North Eastern Railway implemented Sapia AI for Video Interviewing,Interview Scheduling in HR and Talent Acquisition in the United Kingdom. The Sapia AI chat-based interview replaced manual CV screening and video interviews, shifting initial assessment to an automated conversational assessment aligned with LNER hiring workflows.
The deployment utilized Sapia AI’s chat-based interviewing engine alongside interview scheduling capabilities, configured to mirror role-specific assessment criteria and generate structured candidate profiles for recruiter review. Configuration prioritized completion workflows and candidate-facing messaging to support high response and satisfaction rates reported in the case study.
Sapia AI was integrated with LNER’s ATS, eArcu, to exchange candidate status and scheduling information, enabling a streamlined application-to-assessment handoff and consolidated recruiter case tracking. The operational scope covered HR and Talent Acquisition activities in the United Kingdom for LNER recruitment campaigns.
Process governance moved initial screening from manual CV review and ad hoc video interviewing into an automated, system-orchestrated chat assessment and scheduling flow, with recruiter review and next-step orchestration retained in the ATS. The case study documents outcomes that include a reduced time-to-hire from seven weeks to three weeks and maintenance of approximately 30 percent ethnic-minority representation, together with high completion rates and improved candidate satisfaction.
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Woolworths Supermarkets | Retail | 197773 | $39.7B | Australia | Sapia&Co | Sapia AI | Video Interviewing,Interview Scheduling | 2020 | n/a |
In 2020, Woolworths Supermarkets implemented Sapia AI to support high-volume retail hiring across Australia. The deployment focused on a combined chat interview and on-demand video interview experience within the Video Interviewing,Interview Scheduling category, aligning the application to recruiting workflows for frontline and hourly roles.
Sapia AI provided a chat-interview front end and an on-demand video interview component, with explicit video interview automation used for second-stage screening. The implementation emphasized automated scheduling and candidate shortlist review capabilities, configuring interview orchestration to reduce manual recruiter touchpoints.
The solution was integrated into SuccessFactors to streamline scheduling and enable consolidated shortlist review inside the HRIS workflow. Operational coverage targeted Woolworths Supermarkets recruitment and HR teams supporting volume hiring in Australia, embedding Sapia AI as a screening and scheduling layer between job ad responses and recruiter evaluation.
Governance changes centered on shifting second-stage screening from manual scheduling to automated, on-demand video workflows, updating recruiter intake and shortlist validation processes to accept Sapia AI screening outputs. Rollout prioritized alignment with SuccessFactors candidate records and scheduling permissions to maintain HR workflow continuity.
As reported in the case study, Sapia AI helped move candidates from ad to offer in under 24 hours and achieved an 83% reduction in time-to-hire, with SuccessFactors integration noted as a key factor in streamlining scheduling and shortlist review.
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FAQ - APPS RUN THE WORLD Sapia AI Coverage
Sapia AI is a Video Interviewing, Interview Scheduling solution from Sapia&Co.
Companies worldwide use Sapia AI, from small firms to large enterprises across 21+ industries.
Organizations such as Woolworths Supermarkets, Kmart Australia, Joe & The Juice, Benetas and London North Eastern Railway are recorded users of
Sapia AI for Video Interviewing, Interview Scheduling.
Companies using Sapia AI are most concentrated in Retail, Leisure and Hospitality and Healthcare, with adoption spanning over 21 industries.
Companies using Sapia AI are most concentrated in Australia, Denmark and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Sapia AI across Americas, EMEA, and APAC.
Companies using Sapia AI range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 20%, large organizations with 1,001-10,000 employees - 40%, and global enterprises with 10,000+ employees - 40%.
Customers of Sapia AI 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 Sapia AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Video Interviewing, Interview Scheduling.