Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Manufacturing(3)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(58)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(151)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

6 InsurTech Companies in India Featured in the Prestigious InsurTech100

3 minutes, 36 seconds read

Indian technology companies are leading InsurTech innovations and 6 firms have successfully secured a spot in the InsurTech100. FinTech Global’s InsurTech100 is an annual list of tech-startups- transforming the digital insurance landscape through innovative products and solutions. These top 100 InsurTechs are recognized by a panel of analysts and industry stalwarts from an exhaustive list of over 1000 technology firms, who are solving the most-pressing insurance challenges. Here are the InsurTech Companies in India who are pioneering the Global InsurTech revolution.

Acko

Acko is India’s first fully-digital general insurance company. Founded in 2017, it provides personalized pricing to customers through deep-data analytics. It studies customers’ interaction patterns and behaviours and accordingly suggests insurance products. 

Currently, Acko has insured over 40 million Indians, acquiring 8% of the car insurance policies bought online in India. It also introduced Ola Ride Insurance for lost baggage, laptops, missed flights, accidental medical expenses, and ambulance transportation cover. 

Artivatic

Artivatic provides an insurance SaaS platform to automate buyer onboarding, profiling, underwriting, and claims administration. Their solutions leverage cutting-edge technologies like NLP, ML, Deep Learning, Behavior Analysis, AI, and IoT.

Currently, the company is working with 16 clients which include Deloitte, KPMC, HCL, and Cynopia, among others.

Mantra Labs

Mantra Labs is an AI-first product & solutions firm solving the most pressing front & back-office challenges faced by Insurance carriers. Their product portfolio includes — FlowMagic, a visual-AI platform for insurer workflows; an AI-enabled chatbot for insurance; and an AI-driven lead conversion accelerator that maximizes opportunities from the sales funnel.

One of the oldest InsurTech companies in India, Mantra Labs has worked with leading insurers like Religare, DHFL Pramerica, Aditya Birla Health, and AIA Hongkong along with unicorn Internet startups like Ola, Myntra and Quikr. Mantra Labs also has strategic technology partnerships with MongoDB, IBM Watson, and Nvidia.

Pentation Analytics

Pentation Analytics provides state-of-the-art analytics applications targeting core insurance use cases. The company has introduced ‘Insurance Analytics Suite®’ which addresses retention/persistence, cross-sell, acquisition, and underwriting through advanced machine learning models. The product is adaptable to both cloud and on-premise applications. 

Pentation Analytics is partners with international technology companies like Hewlett Packard Enterprise, HortonWorks, Hitachi, among others.

PolicyBazaar

PolicyBazaar is India’s largest insurance marketplace. It allows users to view and compare different insurance policies online based on their preferences. Users can also buy, sell, and store policies online. The platform provides an end-to-end solution to track policies and claims assistance. The company hosts over 100 million visitors annually and records nearly 1,000,000 sales transactions/month. Currently, PolicyBazaar accounts for nearly 32% of India’s life cover & retail health business collectively. 

The company has support from an array of meticulous investors like SoftBank, InfoEdge (Naukri.com), Temasek, Tiger Global Management, True North, and Premji Invest. 

Toffee Insurance

Toffee Insurance is a new-age contextual microinsurance products firm. It’s customer-centric products deconstruct traditional underwriting and pack relevant policies according to individual requirements. The company is distributing plans through different channels like APIs, mobile, and SMS transactions. Their current portfolio includes cycle insurance, income protection insurance, daily commute insurance, and dengue insurance catering to individuals with monthly income less than USD 300. 

The company has succeeded in issuing policies to 115K+ Indians, of which 80% are first-time buyers. Currently, Toffee Insurance is partners with Hero Cycles, Wildcraft, Eko, and Apollo Hospitals and is backed by ICICI Prudential, Religare, HDFC Ergo, and Tata AIG Insurance among many others.

Changing market dynamics has brought a radical shift within the insurance industry. AI-driven technologies are making subtle changes to the way millennials and younger generations are thinking about Insurance as an immediate need. Insurtech is well poised above all else, to satisfy even the most unique coverage needs, removing traditional challenges like ownership from the mix.

With the growing popularity of digital channels, customers prefer self-service portals for quick access and instant solutions for their ever-changing financial and protection needs. Also, customers are now more aware of the potential threats than ever before and expect relevant products from insurers. “25% of business customers and fewer than 15% of retail policyholders believe they are covered comprehensively against emerging risks”(according to the World InsurTech Report 2019); indicating a rising need for consumer-centric and innovative insurance solutions to meet the new demand.

[Related: 10 Takeaways from the World InsurTech Report 2019]

In the year 2018, the InsurTech100 was secured by 7 InsurTech companies in India — Acko, Arvi, CoverFox, GramCover, PolicyBazaar, PolicyX, and Toffee Insurance as innovative InsurTechs.

Cancel

Knowledge thats worth delivered in your inbox

What’s Next in Cloud Optimization? Can We Optimize Costs Without Sacrificing Performance?

Not too long ago, storing data meant dedicating an entire room to massive CPUs. Then came the era of personal computers, followed by external hard drives and USB sticks. Now, storage has become practically invisible, floating somewhere between data centers and, well, the clouds—probably the ones in the sky. Cloud computing continues to evolve, As cloud computing evolves, optimizing costs without sacrificing performance has become a real concern.  How can organizations truly future-proof their cloud strategy while reducing costs? Let’s explore new-age cloud optimization strategies in 2025 designed for maximum performance and cost efficiency.

Smarter Cloud Strategies: Cutting Costs While Boosting Performance

1. AI-Driven Cost Prediction and Auto-Optimization

When AI is doing everything else, why not let it take charge of cloud cost optimization too? Predictive analytics powered by AI can analyze usage trends and automatically scale resources before traffic spikes, preventing unnecessary over-provisioning. Cloud optimization tools like AWS Compute Optimizer and Google’s Active Assist are early versions of this trend.

  • How it Works: AI tools analyze real-time workload data and predict future cloud resource needs, automating provisioning and scaling decisions to minimize waste while maintaining performance.
  • Use case: Netflix optimizes cloud costs by using AI-driven auto-scaling to dynamically allocate resources based on streaming demand, reducing unnecessary expenditure while ensuring a smooth user experience.

2. Serverless and Function-as-a-Service (FaaS) Evolution

That seamless experience where everything just works the moment you need it—serverless computing is making cloud management feel exactly like that. Serverless computing eliminates idle resources, cutting down costs while boosting cloud performance. You only pay for the execution time of functions, making it a cost-effective cloud optimization technique.

  • How it works: Serverless computing platforms like AWS Lambda, Google Cloud Functions, and Azure Functions execute event-driven workloads, ensuring efficient cloud resource utilization while eliminating the need for constant infrastructure management.
  • Use case: Coca-Cola leveraged AWS Lambda for its vending machines, reducing backend infrastructure costs and improving operational efficiency by scaling automatically with demand. 

3. Decentralized Cloud Computing: Edge Computing for Cost Reduction

Why send all your data to the cloud when it can be processed right where it’s generated? Edge computing reduces data transfer costs and latency by handling workloads closer to the source. By distributing computing power across multiple edge nodes, companies can avoid expensive, centralized cloud processing and minimize data egress fees.

  • How it works: Companies deploy micro data centers and AI-powered edge devices to analyze data closer to the source, reducing dependency on cloud bandwidth and lowering operational costs.
  • Use case: Retail giant Walmart leverages edge computing to process in-store data locally, reducing latency in inventory management and enhancing customer experience while cutting cloud expenses.

4. Cloud Optimization with FinOps Culture

FinOps (Cloud Financial Operations) is a cloud cost management practice that enables organizations to optimize cloud costs while maintaining operational efficiency. By fostering collaboration between finance, operations, and engineering teams, FinOps ensures cloud investments align with business goals, improving ROI and reducing unnecessary expenses.

  • How it works: Companies implement FinOps platforms like Apptio Cloudability and CloudHealth to gain real-time insights, automate cost optimization, and enforce financial accountability across cloud operations.
  • Use case: Early adopters of FinOps were Adobe, which leveraged it to analyze cloud spending patterns and dynamically allocate resources, leading to significant cost savings while maintaining application performance. 

5. Storage Tiering with Intelligent Data Lifecycle Management

Not all data needs a VIP seat in high-performance storage. Intelligent data lifecycle management ensures frequently accessed data stays hot, while infrequently used data moves to cost-effective storage. Cloud-adjacent storage, where data is stored closer to compute resources but outside the primary cloud, is gaining traction as a cost-efficient alternative. By reducing egress fees and optimizing storage tiers, businesses can significantly cut expenses while maintaining performance.

  • How it’s being done: Companies use intelligent storage optimization tools like AWS S3 Intelligent-Tiering, Google Cloud Storage’s Autoclass, and cloud-adjacent storage solutions from providers like Equinix and Wasabi to reduce storage and data transfer costs.
  • Use case: Dropbox optimizes cloud storage costs by using multi-tiered storage systems, moving less-accessed files to cost-efficient storage while keeping frequently accessed data on high-speed servers. 

6. Quantum Cloud Computing: The Future-Proof Cost Gamechanger

Quantum computing sounds like sci-fi, but cloud providers like AWS Braket and Google Quantum AI are already offering early-stage access. While still evolving, quantum cloud computing has the potential to process vast datasets at lightning speed, dramatically cutting costs for complex computations. By solving problems that traditional computers take days or weeks to process, quantum computing reduces the need for excessive computing resources, slashing operational costs.

  • How it works: Cloud providers integrate quantum computing services with existing cloud infrastructure, allowing businesses to test and run quantum algorithms for complex problem-solving without massive upfront investments.
  • Use case: Daimler AG leverages quantum computing to optimize battery materials research, reducing R&D costs and accelerating EV development.

7. Sustainable Cloud Optimization: Green Computing Meets Cost Efficiency

Running workloads when renewable energy is at its peak isn’t just good for the planet—it’s good for your budget too. Sustainable cloud computing aligns operations with renewable energy cycles, reducing reliance on non-renewable sources and lowering overall operational costs.

  • How it works: Companies use carbon-aware cloud scheduling tools like Microsoft’s Emissions Impact Dashboard to track energy consumption and optimize workload placement based on sustainability goals.
  • Use case: Google Cloud shifts workloads to data centers powered by renewable energy during peak production hours, reducing carbon footprint and lowering energy expenses. 

The Next Frontier: Where Cloud Optimization is Headed

Cloud optimization in 2025 isn’t just about playing by the old rules. It’s about reimagining the game entirely. With AI-driven automation, serverless computing, edge computing, FinOps, quantum advancements, and sustainable cloud practices, businesses can achieve cost savings and high cloud performance like never before.

Organizations that embrace these innovations will not only optimize their cloud spend but also gain a competitive edge through improved efficiency, agility, and sustainability. The future of cloud computing in 2025 isn’t just about cost-cutting—it’s about making smarter, more strategic cloud investments.

At Mantra Labs, we specialize in AI-driven cloud solutions, helping businesses optimize cloud costs, improve performance, and stay ahead in an ever-evolving digital landscape. Let’s build a smarter, more cost-efficient cloud strategy together. Get in touch with us today!

Are you ready to make your cloud strategy smarter, cost-efficient, and future-ready with AI-driven, serverless, and sustainable innovations?

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot