Paid, an AI agent startup, has raised $21.6 million in a seed round led by Lightspeed. The London-based startup recently raised €10 million ($11.7 million) in a pre-seed round, meaning the company has raised $33.3 million and hasn’t even reached its Series A yet. The startup’s valuation exceeds $100 million, according to a source familiar with the deal, as reported by TechCrunch. The startup was founded by Manny Medina, the Ecuador-born founder and former CEO of Outreach, a $4.4 billion sales automation company. What is Paid? Paid differs from other
Cluley, an AI tool that helps users “cheat” in real life, raised $5.3 million in seed funding backed by Abstract Ventures and Susa Ventures. Chungin “Roy” Lee, CEO of Cluey, went viral in March for creating an AI tool that allegedly “cheats” in job interviews. He was suspended from Columbia for posting content from a disciplinary hearing, as stated by the university. His new venture, Cluely, allows users to analyze what’s on their screens, hear audio, and suggest answers to questions. This is all done without detection from the other
A year after launching its AI research lab, Awarri, a small Lagos-based startup, has become the driving force behind Nigeria’s first government-backed multilingual Large Language Model (LLM). Nigeria’s multilingual LLM Nigeria’s first multilingual LLM is developed by Awarri in partnership with global tech entity DataDotOrg, the National Information Technology Development Agency (NITDA), and the National Centre for AI and Robotics (NCAIR). Initially, it will trained in five of Nigeria’s commonly spoken languages – Yoruba, Hausa, Igbo, Ibibio and Pidgin – as well as accented English. Awarri, founded by Silas Adekunle
Asmelash Teka Hadgu, the visionary behind startup Lesan, is changing the game for language translation, especially for Ethiopian Languages. Acknowledging the limitations of popular translation systems like Google Translate and Facebook, Lesan is on a mission to create language-specific technologies. Translating ‘low-resource’ Languages In an interview with Rest of the World, Hadgu explained that it has become urgent to create language-specific technologies because Google Translate and ChatGPT don’t fit the mark. AI translation models are known to be more accurate for ‘high-resource’ languages like English and Mandarin, and it was recently
