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Sumer Juneja says Softbank is in no hurry to exit from Ola Electric

by Ishaan Negi
November 13, 2024
in Business, Markets, News, Tech, Trending, World
Reading Time: 3 mins read
0
SoftBank’s full exit from PolicyBazaar’s parent earned it a return of $650 Mn

Credits: PUNE.NEWS

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Swiggy’s public market debut on November 13 has added a fresh milestone to SoftBank’s portfolio of Indian investments, with shares opening at ₹420 and reaching ₹449, well above market expectations. This IPO comes in the wake of Ola Electric’s secondary market debut in August, another SoftBank-backed venture that has garnered significant attention. Here’s a look at what this strong start could mean for Swiggy, SoftBank’s strategy in India, and the future of their big bets on consumer tech and electric vehicles.

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SoftBank to make ‘thoughtful, gradual’ exit from Ola Electric, says Sumer Juneja | Exclusive

Credits: CNBCTV 18

Swiggy’s IPO Exceeds Expectations

The rise in food delivery across India made Swiggy’s IPO one of the most anticipated in the consumer IT sector. In contrast to some analysts’ forecasts of a flat start, Swiggy surprised the market with a 7% surge in its share price on the first day. Given the company’s recent cost-cutting measures and robust revenue growth, Swiggy’s rise aligns with investors’ increasing appreciation of the potential of the Indian meal delivery industry. Swiggy’s profitability still trails that of its closest competitor, Zomato, despite a 36% increase in revenue to ₹11,247 crore in FY24 and a 44% reduction in losses.

Ola Electric: SoftBank’s Star in the EV Market

Ola Electric is generating headlines in India’s electric vehicle (EV) market, while Swiggy is making waves in the food delivery industry. One of the year’s most talked-about initial public offerings (IPOs) was Ola Electric’s August 2024 entry into the secondary market. SoftBank has made a substantial investment in Ola Electric, owning 17.83% of the company and contributing more than ₹2,800 crore. One of the most valuable assets in SoftBank’s portfolio, Ola Electric’s valuation contributed $401 million to the Vision Fund during the July–September 2024 quarter.

Sumer Juneja, SoftBank’s managing partner for India and EMEA, spoke recently with CNBC-TV18 about the company’s strategy for Ola Electric. He emphasized SoftBank’s commitment to Ola Electric, saying, “We’re in no hurry to exit.” Juneja hinted that any exit plan would be gradual and dependent on Ola Electric’s performance and market conditions post-lock-in. This deliberate approach suggests that SoftBank sees Ola Electric as a key player in India’s EV market, where two-wheelers are rapidly becoming a preferred choice for electric mobility.

India’s EV Market: A Promising Frontier for SoftBank

India’s EV industry is developing quickly, particularly as the market develops and government subsidies are progressively reduced. Juneja is hopeful about long-term growth despite the decrease of subsidies, estimating that EV penetration might reach 30–40% in the next five to ten years. This trajectory could allow Ola Electric, a company that specializes in reasonably priced electric two-wheelers, to access one of the biggest two-wheeler marketplaces in the world, making EVs a sensible financial option for Indian consumers.

Credits: PUNE.NEWS

With India moving toward EV adoption at scale, SoftBank’s investment aligns well with the country’s priorities for reducing fuel dependency and lowering carbon emissions. Ola Electric’s Gigafactory, which produces battery cells and is advancing EV technology, reflects a serious commitment to domestic production and innovation in the sector.

SoftBank’s Calculated Approach to Exits

SoftBank’s approach to its Indian investments indicates a shift from the “cash-in, cash-out” strategy to a more long-term, value-driven one. Sumer Juneja’s comments on CNBC-TV18 highlight this approach, particularly in the case of Ola Electric. While acknowledging that SoftBank could exit Ola Electric once the lock-in period ends in six months, Juneja stressed that any exit would be “thoughtful” and “gradual.” This approach underscores SoftBank’s recognition of Ola Electric’s potential to grow, even as the EV market faces challenges and competition.

For Swiggy, there may be no rush either. While an IPO often opens up liquidity options, SoftBank could wait to see Swiggy solidify its market position and close the profitability gap with Zomato. Both companies represent SoftBank’s strategic placement in high-growth sectors that are rapidly digitizing and expanding in India.

Tags: #ola_electric#Sumer_JunejafundingInvestmentSoftbank
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Ishaan Negi

Ishaan is a student at Sri Venkateswara College, University of Delhi, where he combines his academic pursuits with a deep passion for technology and storytelling. Ever since his school days, Ishaan has been an avid reader, a thoughtful writer, and an articulate speaker. These interests have naturally evolved into a strong inclination towards journalism, especially in the fast-paced world of tech. Known for his balanced approach, Ishaan is committed to presenting unbiased viewpoints and ensuring every story he tells is rooted in facts and multiple perspectives. Whether he’s reporting on emerging startups, corporate developments, or ethical issues in the tech space, he brings a sharp analytical lens and a curiosity-driven mindset to his work. With a strong foundation in research and communication, Ishaan strives to make complex topics accessible to readers while maintaining depth and nuance. His goal is not just to inform but also to spark thoughtful conversations around the ever-evolving tech landscape.

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How Businesses Use Mobile Proxy Servers for Localized Data Collection

by Rohan Mathawan
October 9, 2026
0
Engineering teams building market intelligence pipelines frequently deal with rate limits and manipulated pricing data. Target platforms actively manage incoming traffic using security tools like Web Application Firewalls and TLS fingerprinting. Relying on commercial server nodes for data extraction often leads to interrupted sessions. To solve this, businesses are moving their infrastructure toward authentic cellular networks. Using mobile proxy servers allows them to collect accurate, localized web data reliably. TL;DR: Core benefits of mobile proxy servers for data extraction Carrier-grade trust: Mobile networks use CGNAT, masking your automated traffic alongside thousands of real smartphone users, resulting in maximum IP trust scores. Organic IP shifts: Security systems are adapted to mobile networks where IP addresses routinely change across local cell towers. A dynamic IP is completely natural, provided your geographic region and device footprint remain consistent. Dedicated vs. shared hardware: Dedicated modems allow manual IP rotation via API but require a 5 to 10-second pause while the physical hardware reboots. Shared proxies offer fixed-interval rotation without interrupting active users. Maintaining stable access: Premium infrastructures use the VLESS protocol to route proxy connections as standard HTTPS browsing. This helps maintain connections in environments with strict local ISP filtering. Why localized data extraction requires authentic connections Companies extract localized web data to see information exactly as it appears to a regular user in a specific region. Pricing and availability change based on the viewer's location. A consumer searching a travel aggregator from London sees different flight options than a user querying the exact same route from Tokyo. Teams historically built scraping infrastructure on data center IPs. Today, anti-fraud engines maintain strict databases of commercial cloud subnets. When a firewall detects consumer-level requests coming from a corporate server, it ruins the connection's trust score. Real users do not browse from cloud data centers. The target platform simply responds with CAPTCHAs or HTTP 429 errors. How mobile proxy servers maintain stable access To ensure stable data collection, automated traffic needs to match the normal network patterns of genuine human users. Mobile proxy servers accomplish this by routing requests through real 4G LTE or 5G modems equipped with authentic SIM cards. This works through Carrier-Grade NAT (CGNAT). Mobile carriers do not assign a unique public IP to every smartphone. Instead, they push the data streams of thousands of subscribers onto the internet through a single shared IP address. Banning a CGNAT mobile IP means disconnecting hundreds of real retail consumers in that area. To avoid this collateral damage, security engines treat mobile carrier ASNs with extreme leniency, granting them trust scores between 90% and 99%. Infrastructure Type Network Source CGNAT Shielding Average Trust Score Algorithmic WAF Reaction Data Center Commercial Cloud Providers No (1:1 routing) 20% - 40% Immediate block, CAPTCHA, or rate-limit for consumer endpoints. Static Residential Home Internet Providers Rare (Usually 1:1) 70% - 85% Reliable for steady sessions, but flagged during abrupt traffic spikes. Mobile (LTE/5G) Real Cellular Carrier Networks Yes (Thousands to 1) 90% - 99% High tolerance; blocking is mathematically prohibitive due to collateral damage. IP rotation: Why dynamic addresses are natural for mobile proxy servers Many operators believe that keeping a static, unchanging IP address is the only way to maintain a healthy session. They assume an IP rotation during a collection task immediately triggers security algorithms. In reality, the internet is heavily adapted to a mobile-first world. When genuine consumers browse on their smartphones, they commute across a city and experience brief signal drops. These physical events force their hardware to re-authenticate with the network. The mobile carrier then assigns the device a brand-new IP address from the regional pool. Target platforms inherently expect this behavior. Consequently, an IP address changing within the bounds of a specific city or county is not an automatic red flag. What actually triggers anti-fraud systems is inconsistency in the digital footprint. As long as the regional origin and the device identity remain synchronized, the session remains valid. Modern automation relies entirely on consistent device and location profiles rather than rigid IP addresses. Choosing the right mobile proxies: Dedicated vs. Shared hardware When integrating cellular infrastructure into a pipeline, engineering teams must decide between two distinct types of mobile proxies. This choice directly impacts hardware control and session persistence. Dedicated proxies Dedicated mobile proxies provide an operator with exclusive, single-tenant access to a specific physical modem and SIM card. This grants unrestricted bandwidth and absolute programmatic control over the connection. Operators can trigger an IP change precisely when their workflow demands it via an API call integrated directly into their Python or Node.js scripts. Developers need to handle the rotation delay. When the API command executes, the physical modem drops its connection to the local cell tower and renegotiates a new one. This reset takes 5 to 10 seconds. Scripts require deliberate pauses (e.g., time.sleep(10)) during this window. Sending payloads before the modem re-authenticates causes timeout errors. Shared proxies Shared mobile proxies allow multiple independent users to route their traffic through the same physical 5G/LTE modem simultaneously. Because the connection is multiplexed, the IP address on a shared port rotates at a strict, automated interval typically every 5 or 30 minutes. Manual rotation is disabled because resetting the network would drop the connection for everyone sharing the hardware. Shared ports provide cost-effective CGNAT trust for stateless tasks. Shared networks provide excellent, cost-effective CGNAT trust for stateless tasks where session persistence is irrelevant. Handling deep packet inspection with VLESS While mobile proxy servers manage external routing, businesses sometimes face interference from their own local Internet Service Provider (ISP). Some local ISPs use Deep Packet Inspection (DPI) to monitor outbound traffic. Standard proxy protocols have recognizable cryptographic handshakes that DPI systems often restrict. To resolve this, premium mobile infrastructure supports the VLESS protocol. Rather than generating a custom proxy certificate, VLESS borrows the cryptographic signature of a highly trusted, unrelated domain during the TLS handshake. Local DPI tools analyze this outbound data flow and see standard HTTPS web browsing. This allows data teams to work without local network interruptions. Digital identity and environment setup High-trust IP addresses lose their value if a script logs into an account using a flagged VoIP phone number. The same happens if a localized payment uses a card that mismatches the proxy's geographic location. Operators pair dedicated mobile IP connections with clean browser profiles. They use tokenized payment cards matching the proxy's billing region and real residential phone numbers for SMS verifications. Sourcing these components from different providers slows down infrastructure deployment. Platforms like CyberYozh App consolidate these tools. Teams deploy dedicated mobile IPs, issue virtual cards, and rent local ISP numbers from a single ecosystem. Checking the complete setup through a built-in fraud scorer ensures a highly trusted profile before data extraction begins. Real-world application A market intelligence firm monitored retail pricing across European e-commerce platforms using data center proxies. Within days, the target platform recognized the commercial subnets, applied rate limits, and served manipulated HTML. The firm restructured its pipeline. They replaced their data center nodes with CyberYozh dedicated mobile proxies physically located in the target countries. Because the requests originated from genuine 4G/5G mobile gateways shielded by CGNAT, the firewall perceived the traffic as authentic mobile shoppers. The Python script held a single mobile IP for a persistent session, extracting the localized pricing data. Once a geographic sweep was complete, the script fired an API rotation call, paused operations for 10 seconds while the physical modem reset its radio link to the local cell tower, and seamlessly resumed collection on the next batch of URLs. By aligning their geographic footprint and accounting for the physical realities of hardware rotation, the firm restored stable access to their target data. Final thoughts on mobile proxy infrastructure Basic data collection methods struggle against modern traffic analysis. Because international platforms look closely at connection behavior to protect their localized data, relying on commercial server networks often leads to unstable access. Authentic LTE and 5G cellular hardware solves this problem. Carrier-Grade NAT and API rotation align the traffic with natural network behavior. This approach secures high IP quality and enables reliable data extraction at scale. As businesses rely more on location-specific data, the technology behind reliable web access is becoming an important part of modern data collection. For more practical guides on emerging technology, online infrastructure, and digital tools, explore Kemotech.

Engineering teams building market intelligence pipelines frequently deal with rate limits and manipulated pricing data. Target platforms actively manage incoming traffic using security tools like Web Application Firewalls...

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0
Sachin Bansal Steps Down as CEO, Takes on Executive Chairman Role at Navi

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Ola Electric Eyes ₹1,000 Cr Rights Issue at 26% Discount

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