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BBC Threatens Legal Action Against AI Startup Perplexity Over Content Scraping, FT Reports

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The BBC has threatened to take legal action against AI startup Perplexity, accusing the company of using BBC content to train its “default AI model,” according to the Financial Times report on Friday. This marks the British broadcaster as the latest news organization to allege content scraping by the AI firm.

The BBC may seek an injunction unless Perplexity stops scraping its content, deletes any existing copies used for AI training, and submits “a proposal for financial compensation” to address the alleged misuse of its intellectual property, the FT said, citing a letter sent to Perplexity CEO Aravind Srinivas.

The broadcaster confirmed the report in a statement to Reuters.

Perplexity has faced similar accusations from other media outlets including Forbes and Wired for plagiarizing their content. In response, the startup has launched a revenue-sharing program aimed at addressing publishers’ concerns.

In October last year, the New York Times sent Perplexity a “cease and desist” letter demanding the company stop using its content for generative AI.

Since the rise of ChatGPT, publishers have expressed concerns about AI chatbots combing the internet to extract information and generate summarized content for users.

According to the FT report, the BBC said parts of its content were reproduced verbatim by Perplexity, and links to the BBC website have appeared in the AI startup’s search results.

Perplexity described the BBC’s claims as “manipulative and opportunistic,” stating that the broadcaster has “a fundamental misunderstanding of technology, the internet and intellectual property law,” in a statement to Reuters.

Perplexity’s service provides information by searching the internet, similar to ChatGPT and Google’s Gemini. The startup is backed by notable investors including Amazon founder Jeff Bezos, AI leader Nvidia, and Japan’s SoftBank Group.

The Wall Street Journal reported last month that Perplexity is in advanced talks to raise $500 million in a funding round that would value the company at $14 billion.

Data Analytics Startup Coralogix Valued Over $1 Billion After $115 Million Funding Round

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Coralogix, a data analytics and AI observability platform, nearly doubled its valuation to over $1 billion in its latest funding round, the company’s co-founder and CEO Ariel Assaraf told Reuters.

The startup raised $115 million in a round led by California-based venture growth firm NewView Capital, with participation from the Canada Pension Plan Investment Board (CPPIB) and venture firm NextEquity. This funding round follows Coralogix’s $142 million raise in 2022.

Despite a wider slowdown in venture capital for enterprise software-as-a-service (SaaS) startups, driven by elevated interest rates and geopolitical tensions, AI-driven SaaS solutions continue to attract investor interest. According to PitchBook, AI-focused SaaS financing hit a record $58 billion in Q1 2025.

Coralogix’s revenue has grown sevenfold since 2022, but the company is not yet profitable, with nearly 75% of its 2024 revenue reinvested into research and development. Assaraf noted this investment-heavy approach is common among peers such as Datadog and Splunk, who also prioritized R&D before profitability.

The startup has expanded its AI capabilities, notably through the acquisition of Aporia in December 2024, which bolstered its AI observability offerings. Coralogix is aggressively growing its AI talent pool and remains open to strategic acquisitions to enhance its expertise.

In line with its AI focus, Coralogix introduced a new AI agent called “olly”, designed to simplify data monitoring with a conversational interface. Industry experts have recognized AI agents as a transformative application of artificial intelligence in enterprise IT management.

Spain’s Multiverse Raises $217 Million to Compress AI Language Models

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Spanish artificial intelligence startup Multiverse Computing announced it has secured €189 million ($217 million) in funding from Bullhound Capital, HP Inc, Forgepoint Capital, and Toshiba to advance its technology for compressing AI language models.

Multiverse has developed a compression technology that can reduce the size of large language models (LLMs) by up to 95% without sacrificing performance, enabling cost reductions of up to 80%. The method blends concepts from quantum physics and machine learning to emulate quantum systems but does not require a quantum computer.

This recent funding round positions Multiverse as the largest AI startup in Spain and places it among leading European AI companies such as Mistral, Aleph Alpha, Synthesia, Poolside, and Owkin.

Multiverse has already released compressed versions of popular LLMs, including Meta’s Llama, China’s DeepSeek, and France’s Mistral, with plans to expand its model offerings. CEO Enrique Lizaso Olmos highlighted the focus on compressing widely used open-source LLMs, noting that many corporations currently rely on the Llama model family.

The compressed AI models are also available through Amazon Web Services’ AI marketplace, facilitating broader industry adoption.