Partnerships
The collaboration combines CAMB.AI’s multilingual voice synthesis capabilities with Kompact AI’s CPU-first runtime that enables large language models to run efficiently on standard processors without relying on costly GPU infrastructure.
Acquisition
The deal adds silicon-level capabilities to Virtusa’s portfolio, extending its end-to-end services from chip design through networks, cloud infrastructure and application development.
Gadgets
The plan was first announced at the Google I/O developer conference in May, alongside partnerships with eyewear brands Warby Parker and Gentle Monster.
Partnerships
Under this new partnership, Nagarro will leverage OpenAI technologies including the OpenAI API and ChatGPT Enterprise.
Expansion
The company is deepening engagement with leading Indian enterprises, including Airtel, CARS24, Flipkart, Groww, Juspay, Myntra, Swiggy, TCS and Zomato.
Cybersecurity
At least 5 Fortune 500 companies are impacted.
Acquisition
The transaction is subject to shareholder and regulatory approval and is expected to close by mid-2026.
Acquisition
Limitless developed a small, lightweight wearable resembling a miniature pair of headphones
Acquisition
Founded in 2017, neptune.ai built its reputation as a robust metrics dashboard and experiment tracking platform — designed to help AI researchers monitor, analyze, and manage the often messy, iterative process of training large-scale machine learning models.
Partnerships
Under the partnership, BLS International will deploy Sypha’s AI-driven development stack to streamline software engineering, modernise legacy platforms, and build intelligent, scalable solutions for global government service ecosystems.
Partnerships
The collaboration will focus on integrating Amazon Connect voice capabilities, conversational analytics, and sentiment analysis with Zendesk Contact Centre, advancing Zendesk's vision to power exceptional service for every person on the planet.
Research
The Stanford researchers reviewed 28 policy documents across the six companies and found pervasive gaps: long retention periods, weak explanations of how data is de-identified, and little clarity on whether humans review transcripts.