Tzafon Secures €8.3 Million to Advance AI Agent Technology

Aug 2, 2025
Stockholm-based AI startup Tzafon has raised €8.3 million in pre-seed funding to enhance its computational capabilities and launch its new AI agent, Lightcone.

Tzafon, a Stockholm-based AI startup, has announced the successful close of its €8.3 million pre-seed funding round. The funding will be used to scale its computational capabilities and advance its autonomous AI agent technology. The round was led by HV Capital, with participation from Streamlined VC, Kakao VC, Oliver Jung, and angels from OpenAI and xAI.

The company plans to use the funds to launch 'Lightcone,' an AI agent designed to act on behalf of users across various apps and platforms. Lightcone aims to reduce the friction between intention and action on digital devices, offering capabilities such as data input and task automation across different applications.

Founded in 2024, Tzafon focuses on developing multi-agent systems capable of automating complex digital tasks. The company leverages cutting-edge machine learning techniques and a proprietary AI framework to enhance operational efficiency for both enterprises and consumers.

With the new capital, Tzafon intends to rapidly scale its compute infrastructure to meet growing market demand and accelerate product development cycles. The company is also planning to make Lightcone available for direct customer access soon.

We hope you enjoyed this article

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

Also, consider following us on social media:

AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

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

You may also like

Free, six days a week

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