Side-by-side comparison of AI visibility scores, market position, and capabilities
DataRails raised $100M+ (Salesforce Ventures, Wing VC) to consolidate FP&A data and automate reporting for mid-market finance teams while preserving their existing Excel workflows.
DataRails is a financial planning and analysis platform built to consolidate and automate FP&A workflows without forcing finance teams to abandon Microsoft Excel. Founded in 2015 and headquartered in Tel Aviv, Israel with offices in New York, DataRails has raised more than $100 million from investors including Salesforce Ventures and Wing Venture Capital. The company targets the large population of finance professionals at SMBs and mid-market companies who manage their entire FP&A operation in Excel and need a way to eliminate the data consolidation, version control, and reporting inefficiencies that spreadsheet-based FP&A creates at scale.\n\nDataRails installs as an Excel add-in and connects to source systems including QuickBooks, NetSuite, Xero, Sage, and HR platforms, automatically pulling and consolidating financial data into a centralized repository that remains accessible through Excel. Finance teams continue to use Excel for modeling and analysis while DataRails handles the data pipeline, version control, and multi-entity consolidation that manual spreadsheet management cannot reliably deliver. The platform also provides a native web interface, FP&A Genius (an AI assistant), and pre-built reporting templates that accelerate month-end reporting and board package preparation.\n\nDataRails has built strong traction in the SMB and lower mid-market segment, where it competes with Vena Solutions (also Excel-native), Cube, and Planful. Its focus on the full Excel preservation approach — adding infrastructure beneath Excel rather than replacing it — resonates with finance teams that have deep Excel expertise and limited appetite for adopting new interfaces. The company's FP&A Genius AI feature allows finance teams to query their financial data in natural language, accelerating ad hoc analysis without requiring dashboard setup.
$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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