Singapore-headquartered angel investment platform ThinKuvate has announced the first close of its India fund at INR 250 million. The investment comes within four months of the formal launch of the ThinKuvate India Fund — I.

The firm has made investments in four startups – Rosh.ai, Zippee, Pantherun, and NymbleUp.

Rosh.ai was founded in 2021 by Roshy John and Rajaram Moorthy. It specialises in autonomous vehicle technology, providing solutions for the automotive, seaport, and mining industries. The company has raised $1 million in Pre-Series A led by EV2 Ventures, with participation from Caret Capital and ThinKuvate.

Zippee was founded by Madhav Kasturia in 2021 and offers same-day delivery for more than 100 (D2C) brands. Zippee is scaling its operations in metro cities and expanding its brand partnership.

Founded in 2019 by Srinivas Shekar, Pantherun is a cybersecurity company specialising in advanced data protection solutions. The company has raised a bridge round led by QuickHeal Family Office and SIDBI Ventures, with participation from 8X, PiperSerica, and ThinKuvate.

NymbleUp.ai was founded in 2019 by Yogesh Bhatt & Manish Thakur. It has secured pre-series A  led by Chandigarh Angels, IVY Cap, and ThinKuvate. It provides AI-driven predictive workforce management solutions for QSRs and retail chains; forecasting demand across all sales channels at 15-minute intervals. 

ThinKuvate plans to invest in early-stage startups from seed to Series A, focusing on companies leveraging technology at the forefront.

Ghanshyam Ahuja, Managing Partner, ThinKuvate said, “We have been investing in Indian startups and saw the potential growth opportunities. That led us to launch an India-focused fund, we have reached the first milestone in little over 100 days. This validates our thesis on the next-gen innovations taking place in India, which have a global appeal.”

ThinKuvate continues to raise its target corpus, the fund plans to invest in 30 – 40 startups with an average investment size of INR 15 million to INR 40 million. The fund has also attracted top tier general partners globally, to manage the deal flow, due diligence, and overall portfolio management. More than 50 percent of investors in the fund are NRIs from various countries, top of them being Singapore, Australia, the USA, the UK, and Indonesia.

Mayank Jain, CEO, ThinKuvate, says, “We have built capabilities within our team to provide support and help to startups scale faster. The profile of limited partners, who are working professionals with senior roles in large corporates, would be a huge differentiator for the companies we back. Our vast network will not only bring in quality capital but provide access to the founders to accelerate their growth journey post funding from ThinKuvate. As we continue to raise the target corpus, we have already built a healthy deal flow and we are confident that with this fund, we will be able to build a strong portfolio and generate stellar returns for our investors.”

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Tensor, a Silicon Valley-based artificial intelligence firm, has introduced the Tensor Robocar to the United Kingdom at the 5th annual European AV Summit. The vehicle is the first production-ready Level 4 autonomous car designed for personal ownership.

The Robocar features a dual-mode strategy, allowing for both manual and fully autonomous operation. A key hardware innovation is the world's first foldable steering wheel, co-developed with automotive safety supplier Autoliv.

The vehicle architecture is built for full-stack redundancy to meet regional safety and reliability standards. Tensor's engineering utilises agentic AI and adaptive design to manage complex driving environments. The company has established a technical ecosystem through several strategic partnerships:

• Compute and AI: Collaboration with Arm for power-efficient compute platforms and Nvidia for AI processing.
• Infrastructure: Integration with Oracle for cloud systems.
• Manufacturing and Insurance: Partnerships with VinFast for scalable production and Marsh for insurance frameworks.

The UK appearance follows a global launch announcement in August 2025. The European AV Summit served as a platform to engage with regulators, insurers and city planners regarding the implementation of personal Level 4 ownership.

Tensor plans to commence production this year. Initial commercial availability is targeted for the UAE, EU and US markets.

Jay Xiao, Chief Executive Officer, Tensor, said, "Showcasing Tensor at the European AV Summit offered a vital opportunity to demonstrate a production-ready Level 4 vehicle to the policymakers, insurers and industry partners who shape Europe's AV future. Our purpose-built Robocar is engineered for full-stack redundancy providing a level of safety and reliability that combines agentic AI and adaptive design to meet rigorous regional safety standards. Tensor, showing for the first time in the UK, helped translate our technical evidence into practical pathways for safe, consumer ownership across European cities and soon - globally.

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AVL Mobility Technologies, Inc. has joined forces with Ansible Motion to integrate its AVL VSM software with Ansible Motion’s Driver-in-the-Loop simulators. This combination accelerates virtual development, allowing automotive manufacturers and suppliers to significantly cut down on both the time and expense associated with testing and validation.

The AVL VSM platform serves as a versatile real-time simulation tool capable of modelling individual components, entire systems and full vehicles. It enables engineers to evaluate vehicle dynamics and safety under realistic conditions while considering how various attributes and systems interact. This supports a more cohesive approach to optimising vehicle characteristics early in the design process. When paired with an Ansible Motion simulator, users can conduct virtual test drives to refine chassis dynamics, powertrain behaviour and advanced driver assistance systems.

To demonstrate this integrated solution, AVL has installed an Ansible Motion Theta Seat simulator at its Ann Arbor, Michigan, Technical Centre. This setup allows customers to experience the combined VSM and simulator capability firsthand. The impact is amplified when leveraged alongside AVL’s existing Software-in-the-Loop, Hardware-in-the-Loop and Virtual Test Bed technologies within the facility’s Advanced Mobility & Simulation Lab, enabling a seamless transition from virtual models to further development.

Gary Newton, Vice President – Business Development, AVL, said, "By combining AVL VSM with Ansible Motion Driver-in-the-Loop simulators, manufacturers can move critical decisions to the front of the development cycle, dramatically reducing physical prototypes and test iterations. This tool combination can have an enormous impact on timeline and budget. Imagine validating 70+ track scenarios per day in multiple conditions, surfaces and drive events. The result isn’t incremental improvement; it’s months saved and millions preserved."

Salman Safdar, Business Development Director, Ansible Motion, said, "Through our continuing collaborative efforts with AVL, we’re developing new ways to conduct subjective and objective evaluations of qualified concepts much earlier in the vehicle design cycle. Connecting our simulators seamlessly with a feature-rich simulation environment like AVL VSM elevates the virtual vehicle development process for manufacturers seeking to shorten development times, realise cost savings and reduce environmental impacts."

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German technology company AUMOVIO has been awarded the Microsoft Intelligent Manufacturing Award (MIMA) in the ‘Innovate!’ category for its internally developed AI Hub.

The platform, recognised by Microsoft Germany and Roland Berger, integrates artificial intelligence into industrial workflows to assist with tasks ranging from code optimisation to predictive maintenance.

The AI Hub functions as a centralised system that allows employees to deploy and create specialised AI agents. These agents automate routine activities and provide decision-making support across various corporate functions.

Current deployments and use cases include:

• Software Engineering: Monitoring compliance with internal coding standards and guidelines.
• Procurement: Analysis and assessment of commercial contracts.
• Manufacturing: Diagnostic support for maintenance teams to identify technical failures.
• Scale: Over 1,500 AI agents are currently active, serving 21,000 employees globally.

The system integrates with standard office software and engineering tools. It features a built-in code interpreter for dataset analysis and utilises standardised protocols to interact securely with internal applications.

AUMOVIO developed the platform in-house, transitioning from a proof of concept to a company-wide rollout in under 18 months. This internal approach allows the company to maintain control over system architecture, data protection and the integration of emerging AI technologies into industrial environments.

Recent updates to the platform include secure access to local machines and internal servers, enabling agents to provide closer support for daily operations.

Jean-François Tarabbia, Member of the Executive Board and Head of Architecture and Network Solutions, AUMOVIO, said, "Artificial intelligence is fundamentally changing how industrial companies operate. With the AUMOVIO AI Hub, we have created a platform that brings AI directly into our employees’ daily workflows. By combining advanced AI capabilities with deep industrial expertise, we enable our teams worldwide to access relevant information faster, handle complexity more efficiently, and automate routine tasks to create more room for innovation."

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Israel-based autonomous software technology company Mobileye has announced that a US automaker will integrate the Mobileye Driver Monitoring System (DMS) into its future vehicle models.

The programme utilises the EyeQ6L system-on-chip (SoC), with production scheduled to commence in 2027. The agreement expands an existing Advanced Driver Assistance Systems (ADAS) partnership and is expected to encompass millions of vehicles.

The platform unifies interior sensing, including DMS and Occupant Monitoring (OMS), with exterior road perception on a single chip. This integration allows the system to evaluate driver engagement by correlating eye gaze with real-world road conditions.

Key technical objectives include:

• Hardware Consolidation: Running driver monitoring and ADAS perception on one SoC to eliminate the requirement for a separate Electronic Control Unit (ECU).
• Contextual Awareness: Distinguishing between general distraction and active driver engagement by monitoring whether attention corresponds with specific road events.
• Alert Precision: Reducing false alerts and refining takeover requests for higher levels of vehicle autonomy.

The system is designed to meet Euro NCAP 2026 scoring requirements and prepare for the Euro NCAP 2029 protocol, which is anticipated to shift the industry benchmark from basic eye tracking to detection of meaningful engagement.

Nimrod Nehushtan, EVP of Business Development and Strategy, Mobileye, said, “The next generation of intelligent driving demands richer context from every part of the vehicle – the road ahead, the cabin, and the interplay between them. At the same time, automakers are looking to scale advanced driving features across their lineups without the cost penalty of additional hardware or complex system integration. Mobileye DMS delivers on both – running context-aware driver monitoring on a single ADAS chip and ECU platform. This combination is something Mobileye is uniquely positioned for, and we look forward to helping our customers deploy at scale.”

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