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Data and AI Solutions for Insurance Industry

Insurance companies work with large amounts of data every day. Claims, policies, risk scores, customer records, compliance tasks, and agent workflows all depend on clean, fast, and accurate information. Modern insurance teams also need strong digital tools to reduce delays, improve risk models, and deliver better customer service.

Tenplus helps insurance companies use data, cloud, and AI to improve decision making, reduce manual work, and support long term growth. We build systems that are secure, connected, and ready for the future of insurance.

How Tenplus Helps Insurance Industry

Data Unification and Modernisation

We connect all your systems so underwriting teams, claims teams, and business leaders get a single view of customer data, policy performance, and risks.

AI for Claims and Underwriting

Our AI tools help insurance companies work faster and smarter with features like:

  • Claims triage and automation
  • Risk scoring
  • Fraud detection
  • Document analysis
  • Predictive loss modeling

AI reduces manual work and increases accuracy across teams

Cloud Migration for Insurance Systems

We help insurers move old systems to secure cloud platforms such as AWS, Azure, and Google Cloud. This improves performance, cuts cost, and supports real time processing.

Dashboards and Analytics for Leadership

We build dashboards that show:

  • Claims trends
  • Loss ratios
  • Underwriting performance
  • Risk exposure
  • Customer behaviour
  • Agent productivity

These insights help leaders plan, forecast, and respond quickly.

Data Governance and Security

We help insurance companies set rules and controls that keep data safe and compliant with industry regulations. Access remains secure, trackable, and trusted.

Process Automation

We automate slow and repeated tasks such as:

  • Document review
  • Data entry
  • Compliance checks
  • Claims routing
  • Policy updates

This improves accuracy and reduces the workload on support teams.

Why Choose Tenplus for Insurance

  • Deep experience in complex data systems: We understand the challenges of underwriting, claims, compliance, and risk.
  • Security first mindset: We follow strong security standards to protect all sensitive insurance data.
  • Fast and clear delivery process: We upgrade systems without slowing down daily operations.
  • Cost efficient solutions: We pick tools that deliver high value without high spend.
  • Full end to end partnership: From strategy to deployment and support, Tenplus stays with you through the entire journey.
Professional consultants
0

All of our consultants have specialist experience in the field.

In-house tools available
0

All of our consulting packages come with our in-house tools.

Consultations made
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Last year, our team was able to help over 100 clients.

Databricks Infrastructure Setup

You might have the best product or service, but without a well-structured Databricks infrastructure, you could be missing valuable insights and efficiency. Our Databricks experts help you design and implement the right cloud-based architecture on Azure, AWS, or GCP, ensuring seamless data integration, governance, and real-time analytics. We empower your teams with the knowledge and tools to operate a scalable, high-performance system that drives business growth.

Databricks
4

Data Engineers

All of our data engineers are well versed with the major Cloud vendors such as AWS, GCP and Azure.

23

Systems engineered

We’ve worked with clients from all walks of life, from tech to agriculture.

30+

Ongoing projects

We keep in touch with our clients and offer ongoing support.

Our Delivery Approach (Five Phases)

  • Discover & Define: Map KPIs and use-cases; assess current state; align success metrics.
  • Design: Choose the right pattern (lakehouse/warehouse); define governance and security.
  • Build: Implement ingestion pipelines, core datasets, and semantic models.
  • Validate: Test reliability, data quality, performance, and cost.
  • Operate & Enable: Deploy with CI/CD, observability, runbooks, and team training.
5

Data Analysts

Our in-house data analysts have a hands-on approach to data.

45

Companies analyzed

Last year, we were able to help nearly 50 companies.

130k

Dollars saved in a day

Our consultants were able to save our client $130k in a day.

What You Can Expect

  • Faster and easier claims processing.
  • Better risk models with clean and connected data.
  • Lower fraud risk through AI powered detection.
  • Smooth workflows for underwriting teams.
  • Clear insights for leadership and agents.
  • Safer and more compliant data systems.
  • Better digital experiences for policyholders.
  • Scalable technology ready for future products.
Built for All Energy Segments
3

Data Designers

Our designers have an extensive background in data analysis.

1340

Visualizations made

From presentations to marketing materials and beyond.

23

Ongoing projects

Data changes, but our team stands by your side when you need us.

We’ve Helped Them

We’ve partnered with many household brand names to deliver insights and solutions to their problems with big data.

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Happy Clients

Don’t just take our word for it – our clients frequently stay in touch with us and work with us on future projects that require big data insights.

I work in agricultural consulting, meaning that we often need to use big and complex datasets to justify expensive investments for our clients. DataAI consultants helped us see the big picture with their visualization tools and expertise.
Federico Bjerrand
Federico Bjerrand
As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. DataAI's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.
Anna Love Ricci
Anna Love Ricci
I work in agricultural consulting, meaning that we often need to use big and complex datasets to justify expensive investments for our clients. DataAI consultants helped us see the big picture with their visualization tools and expertise.
Federico Bjerrand
Federico Bjerrand
As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. DataAI's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.
Anna Love Ricci
Anna Love Ricci
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