ThinKuvate Backs Rosh.ai and Zippee Among Others In Early Age Seed Round

ThinKuvate Backs Rosh.ai and Zippee Among Others In Early Age Seed Round

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.”

Wavye

UK-headquartered Wayve, a developer of embodied AI for autonomous driving, has raised USD 1.2 billion in a Series D investment round. The funding brings the company’s valuation to USD 8.6 billion and marks a transition from research to the commercial deployment of its AI platform.

The round was led by SoftBank Vision Fund 2, Eclipse and Balderton. New participants include the Ontario Teachers’ Pension Plan, Baillie Gifford and the British Business Bank. Strategic investors Microsoft, NVIDIA and Uber also participated alongside automotive manufacturers Mercedes-Benz, Nissan and Stellantis.

Wayve’s platform uses end-to-end AI, which runs on onboard vehicle compute and embedded sensors. Unlike traditional autonomous systems, it does not require high-definition maps or location-specific engineering. This architecture allowed the company to test its technology in more than 500 cities across Europe, North America and Japan without city-specific fine-tuning.

Key milestones include:

  • 2026: Launch of robotaxi trials on the Uber network, starting in London.
  • 2027: Availability of passenger vehicles equipped with Wayve’s ‘AI Driver,’ featuring L2+ capability for steering and navigation under supervision.
  • Licensing: Wayve will license its software to automakers, allowing for brand-specific customisation of driving models.

Uber has committed capital to support the deployment of Wayve-powered robotaxis in more than 10 markets globally. Under this agreement, Wayve provides the AI Driver for L4-capable vehicles, while Uber manages the fleet operations.

Alex Kendall, Co-Founder and CEO, Wayve, said: “With USD 1.5 billion secured, we are building for a total addressable market that spans every vehicle that moves. Autonomy will not scale through city-by-city robotaxi deployments alone. It will scale through a trusted platform that automakers and fleets can deploy globally and improve continuously. This investment accelerates our path to widespread commercial deployment and positions us to build the autonomy layer that will power any vehicle, anywhere.”

Dara Khosrowshahi, CEO, Uber, said, “We are very proud to continue to deepen our partnership with Wayve, with plans to deploy together in more than 10 markets around the world. Wayve’s powerful end-to-end approach is purpose-built for scale, safety, and effectiveness, and we’re excited to work with them across multiple OEMs and geographies, which we’ll share more about soon.”

Satya Nadella, Chairman and CEO, Microsoft, added,  “Wayve is pushing the frontier of embodied AI for autonomous driving, and Azure supports the scale, reliability, and safety needed to bring that innovation into the real world. Through our partnership and investment, we’re helping accelerate the path from breakthrough research to scaled commercial deployment with automakers worldwide.”

Elektrobit And Mobileye Integrate Linux OS Into Level 4 Autonomous System

Elektrobit - Mobileye

Elektrobit and Mobileye have announced the integration of EB corbos Linux for Safety Applications into Mobileye Drive, a system designed for Level 4 autonomous driving. The platform will serve as the technical foundation for vehicle manufacturers and robotaxi vendors.

The collaboration utilises Elektrobit’s safety-compliant operating system (OS) to provide features and field updates for Mobileye’s self-driving architecture.

EB corbos Linux for Safety Applications is an open-source OS solution assessed for compliance with automotive functional safety standards. It has received a technical assessment for ASIL B and SIL2 by TUV Nord, based on ISO 26262 and IEC 61508 standards.

The solution allows manufacturers to use Linux in high-performance computing (HPC) domains, specifically for advanced driver-assistance systems (ADAS) and autonomous vehicles (AV). By utilising open-source software, the companies aim to leverage transparency and innovation speed compared to proprietary systems.

Mobileye Drive is designed to automate vehicle types for applications including ride-pooling, public transport, and goods delivery. The system is powered by the EyeQ System-on-Chip (SoC) and utilises AI-driven computation.

The technology is intended for operation without human intervention within defined areas. Mobileye Drive is currently undergoing testing in locations across Europe and North America, drawing on the company's deployment history in approximately 230 million vehicles globally.

Maria Anhalt, CEO, Elektrobit, said, “Our industry is at a pivotal moment, with carmakers, Tier1 suppliers, and technology companies increasingly joining forces to advance autonomous driving. Working with Mobileye and opening up our cooperation on EB corbos Linux for Safety Applications reflects our commitment to practical, safe, and scalable innovation. Together, we are helping pave the way for the next generation of reliable autonomous driving systems”

Johann ‘JJ’ Jungwirth, Executive Vice-President Autonomous Vehicles, Mobileye, added, “Working together with software innovators in the automotive field like Elektrobit is a key factor in expediting the mass-production of vehicles equipped with the self-driving system Mobileye Drive. Our customers expect to deploy AVs in large numbers in the upcoming years, increasing the importance of system stability and reliability.”

Hexagon Design & Engineering

Cadence Design Systems, Inc. has finalised its acquisition of Hexagon AB’s Design and Engineering (D&E) business. The EUR 2.7 billion transaction was funded through 70 percent cash and 30 percent Cadence common stock.

The acquisition incorporates Hexagon D&E’s MSC Software solutions, including MSC Nastran and Adams, into the Cadence System Design and Analysis (SDA) portfolio. The integration combines structural analysis, acoustics and multibody dynamics with Cadence’s existing technologies in electronics, computational fluid dynamics (CFD) and BETA CAE structural processing.

Cadence aims to utilise the combined portfolio to address the Physical AI market. By coupling physics-based simulation with AI design tools, the company intends to provide platforms for creating virtual representations of systems. These tools are designed to predict system behaviour in conditions involving motion, vibration, and fluid-structure interactions.

Key components of the integrated platform include:

  • Structural Analysis: MSC Nastran for finite element analysis.
  • Multibody Dynamics: Adams for mechanical system simulation.
  • Electronics and CFD: Existing Cadence portfolios for electromagnetic and fluid flow analysis.
  • Pre/Post Processing: BETA CAE technologies for data preparation and validation.

The combined data generated from these simulations will be used to train and validate AI models for applications in robotics, autonomous systems and transportation.

Cadence expects the acquired business to contribute an incremental USD 160 million to its 2026 revenue. On a non-GAAP basis, the transaction is anticipated to be approximately 28 cents dilutive to 2026 earnings per share, with the company projecting the acquisition to become accretive in 2027.

Anirudh Devgan, President and CEO, Cadence, said, “This acquisition marks a major milestone in advancing our vision for intelligent system design. By combining our industry-leading computational software and AI-driven design expertise with MSC Software’s world-class structural and physics-based analysis technologies, we’re empowering customers to push the boundaries of what’s possible – from autonomous systems and advanced robotics to the future of transportation.”

Dell Technologies Extends Partnership As Official Innovation Partner For McLaren Racing

McLaren - Dell Technologies

Dell Technologies and McLaren Racing have extended their partnership, continuing Dell’s role as the Official Innovation Partner for the McLaren Mastercard Formula 1 Team. The collaboration focuses on the use of AI infrastructure and hardware to support car development and trackside operations.

The partnership, which began in 2018, has integrated Dell’s technology into McLaren’s design, engineering and race-day decision-making processes. This infrastructure supported McLaren during its Constructors’ Championship titles in 2024 and 2025, as well as its Drivers’ Championship win in 2025.

McLaren utilises the Dell AI Factory, including PowerEdge servers, to process 1.5 terabytes of data during a race weekend. This setup allows the team to run simulations and maintain digital twins of the cars to refine race strategies. The system monitors variables such as hydraulic changes and track conditions in real time.

To manage data-intensive workloads, including Computational Fluid Dynamics (CFD) and modelling, the team employs PowerStore and PowerScale storage solutions. This allows for the scaling of data infrastructure to meet the demands of high-performance computing.

Dell PCs are used across the organisation for collaboration and data access between the factory and the racetrack. Engineers and strategists use AI-optimised PCs to manage workflows and support driving simulation systems used for driver training. Additionally, Alienware systems power the McLaren F1 Sim Racing Team.

Zak Brown, chief executive officer, McLaren Racing, said, “Our work with Dell Technologies has become a natural part of how we operate as a Formula 1 team. Their support strengthens the way we work across the organisation, helping us stay agile and competitive in a sport where every detail matters. Extending this relationship reflects the confidence we have in what we can achieve together.”

Gerri Tunnell, Chief Marketing Officer, Dell Technologies, said, “The relationship between Dell Technologies and McLaren Racing showcases what’s possible when two organisations are dedicated to pushing boundaries. Dell’s solutions are a catalyst for human progress. With McLaren, we’re demonstrating how the combination of powerful technology and human ingenuity can deliver real competitive advantages in high-stakes environments - an approach that inspires innovation across industries worldwide.”