Acrab Raises US$130 Million for Agentic AI Compute Platform

August 06, 2026
Acrab raised US$130 million in Series B funding to scale its agentic AI compute platform and support commercialization.

Acrab has raised US$130 million in Series B financing, the Singapore company announced in a press release. The round included continued backing from Vertex Ventures SEA & India and Vertex Growth, along with institutional investors from Europe and Southeast Asia.

Acrab said it has emerged from stealth with more than US$350 million in cumulative funding and launched its Agent Box platform, powered by GELIX 1. The company said it is moving toward commercialization, with industrial deployments planned across domains and revenue expected this year.

The company is building a full stack AI computing platform that combines purpose built silicon, edge AI, and software orchestration. Acrab said the new funding will support product scaling, ecosystem expansion, and development of its next computing platform.

We hope you enjoyed this article.

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

Also, consider following us on social media:

Enterprise AI AI Funding News AI Brief AI Brief (X)

More from: Enterprise

09/05
ASUS Expands AI Infrastructure From Cloud to Edge
09/05
Haier Shows AI Smart Home Ecosystem at IFA 2026
09/05
Harvey and Everlaw Connect Legal AI With Discovery Evidence
09/04
Ramp Adds Finance Platform to AWS Marketplace
09/04
LiveU Joins IBC Project to Develop Newsroom Context Standard

More from: Funding

09/05
BUUU Group Agrees to Acquire 60% of Brightray Science
09/05
CollPlant Acquires LightSolver and Enters Photonic Computing
09/04
Guardio Raises $40 Million at $1.1 Billion Valuation
09/03
Flex to Acquire EPC Power for $4.4 Billion
09/03
NVIDIA Agrees to Acquire Hugging Face for $12.93 Billion

Subscribe to Enterprise AI Brief

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

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