Cerence (CRNC) came out with a quarterly loss of $0.03 per share versus the Zacks Consensus Estimate of a loss of $0.27. This compares to earnings of $1.12 per share a year ago. These figures are ...
BURLINGTON, Mass., Feb. 06, 2025 (GLOBE NEWSWIRE) -- Cerence Inc. (NASDAQ: CRNC) (“Cerence AI”), a global industry leader in AI for transportation, today reported its first quarter fiscal year 2025 ...
Q1 2025 Management View CEO Brian Krzanich highlighted Q1 revenue of $50.9M and adjusted EBITDA of $1.4M, both surpassing the high end of guidance. Free cash flow was $7.9M. The CEO emphasized the ...
BURLINGTON, Mass. (AP) — BURLINGTON, Mass. (AP) — Cerence Inc. (CRNC) on Thursday reported a loss of $24.3 million in its fiscal first quarter. The Burlington, Massachusetts-based company said it had ...
Despite Cerence having a dominant share of the auto industry for voice assistants, the company had a terrible 2024 due to decelerating revenue growth and shrinking profit margins. It also didn't ...
including its cloud-based Cerence Automotive Large Language Model and its CaLLM Edge embedded small language model. Through this collaboration, CaLLM is powered by NVIDIA AI Enterprise ...
Cerence builds AI voice assistants for the automotive industry, allowing for conversational communication with one’s vehicle. Cerence solely focuses on the vehicle market. This is a clear ...
Strong revenue performance and a clear focus on automotive AI innovations powered its growth. Cerence’s recent collaboration with NVIDIA NVDA strengthened its position in automotive AI.
it also allows Cerence to aggressively pursue go-to-market strategies in the automotive AI market that is rapidly growing. Nvidia's deal has also significantly elevated the optimism in Cerence's ...
The tech firm reported that " its cloud-based Cerence Automotive Large Language Model (CaLLM)" was being "powered" by Nvidia's AI Enterprise. Cerence described the latter system as "an end-to-end, ...
Working alongside NVIDIA hardware and software engineers, Cerence AI enhanced its ability to meet production timelines and productize generative AI innovation for automotive. Specifically ...