List of Revelance AI Customers
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Since 2010, our global team of researchers has been studying Revelance 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 Revelance AI for AI infrastructure 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 Revelance AI for AI infrastructure include: KPMG, a Netherlands based Professional Services organisation with 273424 employees and revenues of $36.40 billion, Canva, a Australia based Professional Services organisation with 5500 employees and revenues of $1.50 billion, Lightspeed Commerce, a Canada based Professional Services organisation with 3000 employees and revenues of $1.08 billion and many others.
Contact us if you need a completed and verified list of companies using Revelance 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.
The Revelance AI 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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Canva | Professional Services | 5500 | $1.5B | Australia | Revelance AI | Revelance AI | AI infrastructure | 2025 | n/a |
In 2025, Canva deployed Revelance AI as an AI infrastructure to augment its go to market organization, targeting sales, marketing, and customer success business functions. The deployment is framed around conversational agents and automation agents designed to support call preparation, research summaries, and follow up draft generation for global GTM operations.
Revelance AI is implemented to provide agent orchestration, natural language summarization, and draft generation capabilities that sit alongside Canva workflows. These capabilities are described as automating pre call research, producing concise research summaries, and generating follow up drafts, aligning with standard AI infrastructure functionality for knowledge retrieval and text synthesis.
Integrations explicitly include embedding Revelance AI agents into Slack and Salesforce, enabling in channel agent interactions and CRM note augmentation. The integration with Salesforce aims to surface CRM intelligence and populate contextual summaries into deal records while Slack embedding supports real time rep workflows across sales, marketing, and customer success teams.
Governance and rollout emphasize operationalization within GTM teams, with agents embedded into existing communication and CRM workflows to reduce manual preparation and follow up tasks. Reported outcomes include improving rep productivity and enhancing CRM intelligence through agent generated summaries and drafts, with configuration and adoption focused on aligning agent outputs to existing GTM processes.
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KPMG | Professional Services | 273424 | $36.4B | Netherlands | Revelance AI | Revelance AI | AI infrastructure | 2025 | n/a |
In 2025 KPMG Australia worked with Revelance AI to adopt Revelance AI, an AI infrastructure platform, as part of an enterprise operating model focused on governance, monitoring, and production grade deployment for consulting and professional services in Australia. The engagement centered on embedding AI agents into consulting workflows while establishing platform level controls and observability consistent with AI infrastructure capabilities.
Deployment architecture emphasized platform level agent governance, centralized monitoring, and production grade deployment pipelines to support operational agent orchestration. Functional capabilities implemented included agent lifecycle management, policy enforcement, observability and audit trails, secure model serving, and environment segmentation for development testing and production, reflecting typical AI infrastructure module patterns.
Integrations were scoped to connect agent contexts with enterprise workflows and data pipelines so consulting teams could operationalize agents within project delivery and client engagements. The operational coverage was explicitly focused on KPMG Australia professional services and consulting practices, with configuration and runtime controls applied at a practice group level.
Governance and rollout planning prioritized monitoring, policy governance, role based access controls, and auditability to align agent behavior with professional services compliance requirements. The narrative positions Revelance AI as the AI infrastructure platform that underpins agent orchestration, governance, and observability across KPMG Australia consulting operations.
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Lightspeed Commerce | Professional Services | 3000 | $1.1B | Canada | Revelance AI | Revelance AI | AI infrastructure | 2025 | n/a |
In 2025, Lightspeed Commerce embedded Revelance AI as AI infrastructure to automate prospect research and personalize outbound outreach within its sales and marketing go to market workflows in Canada. Lightspeed Commerce implemented Revelance AI to support agent-based automation and CRM enrichment across GTM operations.
The implementation emphasized agent orchestration and automated data aggregation, with Revelance AI agents executing prospect discovery, summarization, and contact prioritization to surface higher value leads. The case study describes CRM enrichment workflows and orchestration rather than named product modules, indicating that agent outputs are written back into lead and account records and used to drive personalized outreach sequences.
Operational coverage focused on sales and marketing teams in Canada, where agent outputs feed CRM records and outreach templates, shortening tasks that formerly took hours into minutes. Integrations described include CRM enrichment and connections to internal data sources for prospect signals and contextual information consumed by the agents.
Rollout involved embedding agent orchestration into existing GTM playbooks and establishing CRM enrichment processes and monitoring checkpoints to manage data quality and outreach consistency. Outcomes explicitly stated include faster prospect research, automation of data aggregation, and the ability to deliver more personalized outreach at scale in Canada.
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