Tines Secures $125M in Series C Funding, Valuation Reaches $1.125B

Feb 11, 2025
Tines, an AI-powered workflow company, has raised $125 million in Series C funding, increasing its valuation to $1.125 billion. The funding round was led by Goldman Sachs Alternatives, with new investors SoftBank Vision Fund 2 and Activant.
Tines Secures $125M in Series C Funding, Valuation Reaches $1.125B

Tines, a company specializing in AI-powered workflows, has announced the completion of a $125 million Series C funding round. This latest investment brings the company's valuation to $1.125 billion. The funding round was led by Growth Equity at Goldman Sachs Alternatives, with participation from new investors SoftBank Vision Fund 2 and Activant, as well as existing investors Accel, Felicis, CrowdStrike Falcon Fund, and Addition.

The company plans to use the new capital to accelerate product innovation, particularly in connecting AI software and large language models with necessary data and systems. This aims to enhance task efficiency and effectiveness while ensuring privacy and compliance for enterprise-grade security.

Tines has seen significant growth, with the number of automated actions on its platform tripling over the past year, now exceeding one billion tasks automated weekly. The company recently introduced native AI features and a generative AI chat interface called Workbench, which allows users to query, gather, and analyze information in real-time across applications.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.