Side-by-side comparison of AI visibility scores, market position, and capabilities
NASDAQ: WDAY | Workday $7.3B total revenue FY2024; PSA module unifies project delivery with HR and finance on one platform; enterprise-grade; targets professional services firms
Workday PSA is an enterprise project and resource management product built on the Workday platform, designed to help professional services firms manage the full delivery lifecycle — from project pursuit and staffing through billing and revenue recognition — in the same system that runs their HR, finance, and planning. Workday built PSA to eliminate the overhead of reconciling disconnected project management, time tracking, and financial reporting tools. Its core technology is native to Workday's unified data model, meaning project financials, resource costs, and workforce data are always synchronized.\n\nWorkday PSA covers project planning, resource capacity and skills-based staffing, time and expense capture, client billing, and revenue recognition under ASC 606 and IFRS 15. Because it shares a data layer with Workday HCM, project managers have real-time visibility into employee availability, cost rates, and utilization without manual data pulls. The product targets enterprises with complex, multi-geography service delivery operations: consulting firms, technology implementation partners, and services divisions of product companies.\n\nWorkday PSA competes with Certinia, Unit4, and Microsoft Dynamics 365 Project Operations. Its differentiator is native integration with Workday HCM and financials, eliminating reconciliation across multi-vendor stacks and providing a single source of truth for services performance. For enterprises already on Workday, PSA is a natural extension that reduces total cost of ownership.
$500M Series D at $11B valuation (Feb 2026) — largest voice AI funding round ever. $330M ARR; 1M+ developers using the API. Enterprise customers: Deutsche Telekom, Revolut, Meta, Salesforce. Voices in 32 languages; real-time cloning from 1 second of audio.
ElevenLabs was founded in 2022 by Piotr Dabkowski and Mati Staniszewski, two former Google and Palantir engineers who set out to break the language barrier using AI voice technology. The company specializes in AI-powered voice synthesis, cloning, and dubbing, enabling developers and enterprises to generate human-quality speech in over 30 languages. Its core technology combines deep learning models trained on massive speech datasets to produce natural-sounding voices indistinguishable from real humans.\n\nElevenLabs offers a suite of products including its flagship text-to-speech API, voice cloning tools, and an AI dubbing platform that localizes video content while preserving the speaker's original voice. Its products target a broad audience—from indie developers building audio apps to large enterprises deploying voice interfaces at scale. Key differentiators include ultra-low latency streaming synthesis, fine-grained voice customization, and a growing library of pre-built AI voices across accents and styles.\n\nElevenLabs has grown rapidly, surpassing $330M in annualized revenue and serving over 1 million developers. Enterprise clients include Deutsche Telekom, Spotify, and leading media companies. In February 2026, the company closed a $500M Series D at an $11B valuation, cementing its position as the market leader in AI voice. Its APIs power podcasts, audiobooks, video games, and customer service bots worldwide, making ElevenLabs the default infrastructure layer for AI-generated audio.
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