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Tracelight develops an AI-powered Excel add-in designed to enhance financial modeling. Its core product allows users to generate complex formulas and automate workflows directly within Excel using natural language commands. The technology integrates artificial intelligence to streamline model construction, enable large-scale formatting, and identify potential errors, significantly boosting efficiency and accuracy for financial professionals.
The company was founded in 2024 by Peter Fuller, Aleksander Misztal, and Janek Zimoch. Their collective insight centered on the need to bridge the gap between traditional financial modeling practices and the capabilities of advanced AI, aiming to make the process more accessible and reliable. They recognized the potential for AI to simplify intricate tasks and improve the integrity of financial models.
Tracelight primarily serves financial analysts, consultants, and other professionals who rely heavily on Excel for quantitative analysis and forecasting. The company's vision is to empower these users by transforming how financial models are built and maintained, fostering greater confidence in their outputs. Tracelight aims to be the standard intelligent assistant for rigorous financial planning and analysis.
Tracelight has raised $4.0M across 1 funding round.
Tracelight has raised $4.0M in total across 1 funding round.
Tracelight has raised $4.0M in total across 1 funding round.
Tracelight's investors include Chalfen Ventures, Charlie Songhurst, Sam Shank, Paul Forster, Suhit Gupta, Hank Vigil, Entrepreneur First, Inovo Venture Partners.
Tracelight has raised $4.0M across 1 funding round. Most recently, it raised $4.0M Seed in August 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Aug 1, 2025 | $4M Seed | Chalfen Ventures | Charlie Songhurst, SAM Shank, Charlie Songhurst, Paul Forster, Suhit Gupta, Hank Vigil, Entrepreneur First, Inovo Venture Partners | Announced |
Tracelight is a London-based fintech startup founded in 2024 that builds an AI-powered Excel add-in automating complex financial modeling for analysts, consultants, bankers, and corporate finance professionals.[1][2][3][5] The product interprets spreadsheet content—including formulas, values, formatting, and cell relationships—enabling natural language prompts for tasks like formula generation, error checking, analysis, professional formatting, and custom commands, all without leaving Excel; early users report up to 90% time savings on repetitive tasks.[1][2][3] It serves individual professionals via Starter and Pro plans, and teams through an Enterprise tier with SOC 2 certification, data encryption, no training on user data, SSO, and unlimited usage.[2][5] Tracelight secured $3.6M in seed funding in 2024 led by Chalfen Ventures, with participation from Acequia Capital, Inovo, Entrepreneur First, and angels like Charlie Songhurst, fueling product development, team expansion, and global go-to-market efforts targeting finance and strategy pros.[1][3]
Tracelight was founded in 2024 by Peter Fuller (CEO), Aleksander Misztal (CTO), and Janek Zimoch, who recognized the gap in leveraging frontier LLMs for logically complex, rule-bound financial models built in Excel—the world's dominant modeling platform.[1][3] The idea emerged from the need to unlock AI's reasoning power directly in analysts' workflows, encoding spreadsheets into LLM-friendly formats for tasks like automation and analysis.[1][2] Early traction came via launch as a Microsoft AppSource add-in, with users praising its speed, error reduction, and control; this momentum secured the $3.6M seed round shortly after, validating the founders' vision of making analysts "superhuman in spreadsheets" by offloading mechanical workloads.[1][3][5]
Tracelight rides the generative AI wave transforming productivity tools, specifically targeting Excel's ubiquity in finance where manual modeling remains a bottleneck despite AI hype.[1][3] Timing aligns with maturing LLMs capable of structured reasoning, amplified by post-2023 enterprise AI adoption and demand for secure, workflow-embedded tools amid data privacy regulations.[2][5] Market forces like exploding financial data volumes, talent shortages in modeling, and Excel's entrenched 1B+ users favor it; by augmenting analysts (90% time savings), it influences the ecosystem by accelerating decisions in VC, banking, consulting, and corporate strategy, potentially standardizing AI-assisted modeling.[1][3]
Tracelight is poised to dominate AI-augmented financial modeling by embedding superhuman capabilities into Excel, with funding enabling rapid scaling to global finance teams.[1][3] Next steps include product enhancements (e.g., switchable LLMs, org-wide libraries), team growth, and enterprise wins, capitalizing on trends like agentic AI and multimodal LLMs for even deeper automation.[2][5] Its influence could evolve from niche plug-in to industry standard, reshaping analyst roles as orchestrators amid rising AI literacy in finance—echoing its core promise of revolutionizing the world's most-used modeling platform.[1]
