Digital
Gengis AI launches Singapore’s first AI-Powered studio
SINGAPORE: Singapore’s filmmaking scene just got a high-tech boost with the launch of Gengis AI, the city-state’s first AI-enabled production studio. The studio integrates artificial intelligence across development, virtual production and post-production, bringing futuristic tools to real-world filmmaking.
Founded by seasoned producers Karen Seah and Tan Sian Ju of Refinery Media, along with virtual production expert Joel Lim, Gengis AI aims to make AI a practical, creative partner rather than a standalone gadget. The studio designs workflows that weave AI into scripting, on-set production and post, helping productions iterate faster and scale ambitions while keeping human creativity at the centre.
“AI promises transformation for media, yet most teams struggle to deploy it safely and effectively on set,” said CEO and co-founder Joel Lim. “Our workflows let filmmakers take bolder creative risks and move faster, without losing control.”
Gengis AI focuses on AI-driven VFX and intelligent virtual set extensions, which allow rapid asset creation and real-time LED wall enhancements. By combining these tools with Singapore’s largest independent LED virtual production volume at X3D Studio, productions can expand visual ambition, shorten iteration cycles and reduce post-production costs, all within existing crew workflows and budgets.
The studio has already teamed up with Refinery Media on digital-first microdramas and short-form projects, including a vertical, unscripted reimagining of the popular SupermodelMe series. The project demonstrates how AI can compress development timelines while maintaining operational efficiency.
“As a production company, we want to reformat our IP quickly for new platforms without constantly expanding the team,” said co-founder Karen Seah. “AI-enabled workflows let us do more with what we have.”
With Singapore positioning itself as a hub for AI and media innovation, Gengis AI plans to support hybrid human-AI productions across the Asia-Pacific region, bridging cutting-edge technology with practical filmmaking realities.
Digital
Authbridge finds 5.61 per cent discrepancy rate in on-demand hiring
White-collar roles show 4.33 per cent overall as employment history leads at 11.15 per cent in H1 FY26.
MUMBAI: India’s hiring scene is pulling a classic bait-and-switch, candidates promise the world on paper, but the background check reveals the plot twist nobody saw coming. Authbridge, the country’s top trust and authentication tech firm, released its Workforce Fraud Files – H1 FY26 report (covering July–December 2025) around 16–17 February 2026, crunching data from millions of verifications across identity, address, employment history, education, criminal records, and CV validation.
The headline numbers paint a sobering picture: white-collar hires clocked an overall discrepancy rate of 4.33 per cent, while the on-demand ecosystem (gig and flexible roles) fared worse at 5.61 per cent showing that the faster, looser world of app-based work comes with extra red flags.
For white-collar folks, employment verification topped the trouble list at 11.15 per cent, followed by address checks at 7.68 per cent, education at 4.49 per cent, and references at 4.17 per cent. Drug screening (1.87 per cent) and criminal records (0.50 per cent) stayed relatively tame, but still popped up enough to matter.
The gig side showed even sharper vulnerabilities, address discrepancies hit 9.70 per cent, identity (NID) issues 2.53 per cent, and criminal record mismatches 2.23 per cent particularly worrying for roles with direct customer contact or field duties.
Industry breakdowns add colour, address problems plagued Telecom (15.42 per cent), IT (12.02 per cent), Pharma (11.21 per cent), Retail (10.64 per cent), and Banking & BFSI (10.23 per cent). Employment verification headaches were biggest in Retail (16.37 per cent), Telecom (14.32 per cent), Banking & BFSI (13.00 per cent), and Pharma (12.10 per cent). Education slips stood out in Retail (9.16 per cent) and Telecom (7.80 per cent), while CV validation mismatches appeared in IT (12.80 per cent) and Banking & BFSI (2.91 per cent).
Authbridge CEO and founder Ajay Trehan didn’t mince words, “The H1 FY26 Workforce Fraud Files clearly show that hiring-related discrepancies remain a persistent and structural challenge. Despite faster and more digitised hiring workflows, we continue to see gaps in fundamental checks such as employment history, address, and education. These are not minor inconsistencies; they have direct implications for organisational risk, compliance, and trust.”
The report stresses ditching one-and-done checks, start screening pre-offer to avoid nasty surprises post-joining, and layer in periodic reviews like drug tests, court records, and lifestyle assessments for ongoing risk management. Tools like Authbridge’s Authnumber (consent-based digital credentials) and Authlead (deep-dive leadership vetting) get a nod for cutting friction and blind spots.
Bottom line? In a job market racing for speed and scale, skimping on trust verification is like building a house on sand, one solid background check away from watching the whole thing crumble.
