Alkymi provides an AI-powered data workflow platform engineered for investment workflows, using machine learning, large language models, and agentic AI to validate, integrate, and analyze complex datasets such as transaction notices, quarterly reports, loan agent notices, and financial statements. The platform converts unstructured documents into standardized, interactive datasets that integrate with clients' core business processes. Alkymi positions its product to help firms automate operations, streamline valuations, reduce risk, and accelerate investment decision-making. The company reports rapid adoption among investment managers representing over $20 trillion in AUM and counts clients including Northwestern Mutual, PGGM, Strategic Investment Group, and SimCorp. Alkymi has received multiple industry awards in 2025 and says the new capital will be used to accelerate growth and innovation. The company is focused on scaling its impact across private markets and broader financial services. Alkymi launched in 2017 to help financial services firms automate repetitive, data‑intensive tasks by extracting information from emails and spreadsheets. The company developed Patterns Studio, a no‑code automation creation tool that lets business users build automations and deploy them into its Data Inbox product without heavy IT support. On the backend Alkymi applies sophisticated machine learning to implement workflows for use cases such as customer onboarding and gathering investment information. The platform has expanded beyond financial services to broader verticals and has processed 45 million actions to date. Revenue grew 300% over the trailing 12 months and the startup is on track to double revenue this year. Since its $5M seed in early 2020 (when it had seven employees), Alkymi has added 30 hires and says it will continue hiring experienced and diverse talent following the new investment. Alkymi provides machine-learning software that automatically extracts business and financial data from emails and attachments, reducing manual copy-and-paste work by business analysts. The company is initially concentrating on financial services and already has paying customers in that sector, and a partnership with SimCorp to offer the service on its platform. Its models require hours to days of training, after which the software processes known items automatically and flags unknowns for human intervention, learning from those corrections. Alkymi reports starting automation rates of roughly 40–50%, with higher rates for less complex data sets. The product is available as both on-prem and cloud versions and the company bills by the workflow. Alkymi launched in 2017, is based in New York City, has seven employees, and plans to double headcount this year.

Total raised

$26M

Funding rounds

3

Latest round

Series A

Latest activity

Oct 2022