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This Bangalore-based Company made the Global InsurTech100, Twice.

3 minutes, 29 seconds read

The much-awaited Global InsurTech100 list is out now! This prestigious list compiled by FinTech Global comprises 100 of the most innovative tech-startups transforming the digital insurance landscape through innovative products and solutions. They are selected by a panel of analysts and industry stalwarts from an exhaustive list of over 1200 technology firms, who are solving the most pressing challenges in insurance today. 

This year three Indian technology companies, the others being Quantiphi and Pentation Analytics, made the list. Mantra Labs has also been featured among the most innovative InsurTechs across the world for the second straight year in a row, along with Pentation Analytics. 

InsurTech100 companies offer solutions that enhance functions across the entire insurance value chain, including marketing & distribution, underwriting & risk rating, claims, and customer retention, and they incorporate the latest technologies, such as big data analytics, blockchain, artificial intelligence, the internet of things and bot-assistants. 

In the past couple of years, the insurance industry has seen disruption to several functions across the value spectrum thanks to innovations made by InsurTechs. This has certainly increased budgets for InsurTech collaboration and the adoption of next-gen technologies within their corporate strategies. According to FinTech Global, over $7bn has been invested in InsurTech solution providers since 2015 by insurers looking to benefit from the huge impact new digital models will have on the industry.

This year’s cohort is diverse and comprises a wide range of capabilities — with 20% of the companies featured having a focus on AI-based solutions, 42% of firms spread across auto insurance, 38% across health insurance, and 3% of companies that develop insurance specific chatbots. The US covers a major portion of the global InsurTech100 list with 39 InsurTechs, followed by the UK with 20 startups being listed. 17 companies featured in the report are from France, India, Singapore, and Germany. The remaining companies come from Brazil, South Africa, Hong Kong, Sweden, Netherlands, and Australia. 

Evolving Digital Insurer Landscape

Changing business dynamics has brought a radical shift within the insurance industry. This year, with almost every sector being hit by the pandemic COVID-19, user sentiments towards technology have evolved. As predicted by many industry experts AI-driven technologies are being implemented to generate interest among the millennial and Gen Z generations. 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, the importance of Digital Experience (DX) is also rising amongst the users. Insurance companies are trying to match the ever-changing financial and protection needs of the customers by building self-service portals for quick access and instant solutions. 

Last year (2019), the global InsurTech100 recognized 6 Indian companies – Acko, Aritivatic, Mantra Labs, Pentation Analytics, PolicyBazaar, and Toffee Insurance.

According to FinTech’s Global director Richard Sachar, “The impact of the most innovative InsurTech companies will be measured in billions of dollars over the next few years”. 

How Mantra Labs impacts the Insurance Value Chain

Mantra Labs is an AI-driven Products & Solutions Firm. We design and build Intelligent Experiences for the Insurance Industry. Mantra Labs offers three core products for solving the most pressing challenges faced by InsurTechs around — claims processing, workflow management, process automation, onboarding, leads maximization, customer experience & engagement. Here are some of the products by Mantra Labs for the insurance industry-

FlowMagic is a visual AI platform for insurer workflows. With FlowMagic, insurers can create, customize, and monitor workflows. It is built to scale across the insurance value chain. It comprises pre-built AI-powered applications which can be strung together to execute any workflow.

Lead Conversion Administrator is an AI-enabled tool that allows insurers to lower lead leakage and maximize capture from the sales funnel for conversion.

Multilingual AI-Powered Chatbot, Hitee allows insurers to fulfill routine customer support tasks via Natural Language Processing (NLP) and Machine Learning (ML) models trained on insurance-specific parlance.

Mantra Labs has been deeply involved in developing technology solutions for some of the World’s leading insurers like SBI General, Care Health (formerly Religare), DHFL Pramerica, Aditya Birla Health, AIA Hong Kong along with unicorn consumer startups like Ola, Myntra, and Quikr.

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Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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