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

TOP 10 Innovative Insurtechs of 2022

4 minutes 42 seconds read

Amidst rapidly growing inflation in India, catastrophic war situations in Ukraine and Russia, and an economic crisis in Sri Lanka, the outset of 2022 has been witnessing uncertainties, risks, and financial crises worldwide. Financial stability has become a global priority now. And the key focus has now shifted to insure everything around whether it’s people, pets, or things.

With this emerging customer demand for insurance solutions comes the challenge of providing an exceptional customer experience. AXA Insurance launched a multiplayer online game to spread awareness about the need for insurance. More than 600,000 players visited the AXA office in real life within five months of the launch.

According to Mantra Labs’ latest findings, insurance surpassed other industries by 15 times when it came to an increase in CX maturity.

The State of CX in Insurance, 2022
Source: The State of CX in Insurance

The insurtech industry is at the cusp of exponential growth garnering massive investment deals and leveraging technology like never before. Recently, Amulet secured $6 million in its latest funding round to provide insurance coverage in the Web 3.0 world. The first Rust-based decentralized finance (DeFi) insurance protocol will utilize Solana’s PoS network to offer insurance service and stable returns. According to Gallagher’s report, 143 deals were recorded worldwide in the first quarter of 2022. Keeping innovation and customers at the center, here’s a look at the top 10 innovative insurtechs of today (in no particular order) –

ManyPets

ManyPets (formerly known as Bought by Many) is the first pet insurer in the UK to offer online form-free claims. Launched in 2012, the firm introduced its own branded policies backed by Munich Re’s Great Lakes Insurance. ManyPets built its policies using a customer-led model, which leverages anonymized search data and customer reviews to identify shared customer needs unserved by competitors. The current offering includes tailor-made insurance solutions like lifetime and accident coverage for cats and dogs.

DINGHY

Dinghy is a London-based pay-by-the-second insurance provider that customizes coverage for freelancers and businesses. Using online and mobile-first solutions, customers may switch their policies on and off as needed without any upfront premiums, interest, credit checks, or fees. Dinghy also introduced ‘Freelance Assist’ where freelance legal professionals receive the flexible coverage of Dinghy with online resources and advice.

Root Insurance Co

Root is a US-based insurtech that offers insurance solutions to drivers in case of collisions as well as comprehensive protection and medical payments, personal injury protection, and more. At first, drivers need to download the mobile-app and perform test driving for a couple of weeks. Once the driver passes the driving test, they are offered a premium based on their driving score generated during the test drive which differentiates the company from traditional car insurance.

Riskwolf

Riskwolf is a Switzerland-based insurtech that enables insurers to build and operate parametric coverage for digital risks using real-time data and dynamic risk modeling. This prevents loss of income from internet disruptions due to bad weather, natural disasters, or accidental cable cuts. Riskwolf enables telecommunication, internet service, e-commerce, and other digital platform providers to raise real-time insurance claims by detecting connectivity problems and automating the payment process.

Fitsense

Fitsense is an Australian insurtech that enables health & life insurers to customize products and services by using the app and device data. The platform captures health data from multiple wearable devices and health-tracking apps and then combines it to generate unique scores for its customers. These scores are then used to create personalized insurance policies to suit individual needs in real-time which helps insurance firms to minimize claims and increase revenue streams. 

SHIFT TECHNOLOGY

Shift Technology is a Paris-based tech firm focused on creating AI-native solutions for insurance companies. The insurtech enables insurers to defeat fraud, cyber-attacks, or hacks, and automate claims. 

Hippo Insurance

Hippo is a US-based insurtech that provides property & casualty insurance, which covers the policy holder’s home and belongings as well as liabilities from accidents that occur on the protected property. The company leverages public data, satellite images, and smart home devices like water-leak sensors to accelerate the application process and reduce claims. Hippo claims a customer quote time of just 60 seconds and offers a complimentary smart home monitoring system to eligible customers combined with a discount. 

NEOSURANCE

Neosurance, headquartered in Milan, provides insurers with customer insights and a profiling platform. A push notification is delivered to the user’s smartphone along with a 7-second insurance policy sign-up. This enables the insurer to send the right insurance offer whenever the customer needs it. 

Coincover

Coincover provides corporate and consumer protection for NFTs through an insurance-backed solution. The company protects its partners’ wallets and the NFTs they possess from hacking, phishing, and other illegal activity, while also providing an insurance-backed guarantee if something goes wrong. Their offering also includes a disaster recovery service, which is a backup key recovery service that allows NFTs to be recovered in the event of lost passwords.

LIVWELL

LivWell Asia is a blockchain-based gamified insurtech and health engagement application. The insurtech aims to make insurance accessible to millennials by making it rewarding and activity-based. Its offering includes low-cost bite-size health and term insurance in India and Vietnam aimed toward Gen-Z. 

Businesses are heading to metaverse-based ecosystems where solutions based on blockchain technology are on the rise. Unique insurance solutions are clear evidence of rapidly evolving customer expectations. Hong Kong-based virtual insurer OneDegree teamed up with Munich Re to insure digital assets due to increased demand from Non-Fungible Token (NFT) holders seeking security against hacking and theft. With investments and advancements on the go, the future of insurance sure looks promising.

(Note: The insurtechs highlighted here are not rank-based and are not indicative of the ‘best’ insurtech products available today.)

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