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Data and AI Solutions for Finance and Banking

Financial institutions work with large amounts of data every day. Transactions, customer records, risk scores, fraud alerts, loan applications, audits, and compliance tasks all depend on fast and accurate information. Modern finance teams also need strong digital systems to reduce risk, stay compliant, and offer a smooth customer experience.

Tenplus helps banks, fintechs, and financial service providers use data, cloud, and AI to protect operations, improve decisions, and deliver trusted digital services. We build secure, scalable, and reliable systems made for the future of finance.

How Tenplus Supports Finance and Banking

Data Modernisation

We bring all financial data into one clean and trusted system. This creates a single source of truth for credit teams, risk teams, compliance officers, and leadership.

AI for Risk, Fraud, and Customer Insights

Our AI models help financial institutions:

  • Detect fraud in real time
  • Score credit risk with higher accuracy
  • Predict customer behaviour
  • Improve loan decisions
  • Speed up identity verification

This supports safer operations and better customer service.

Cloud Migration for Financial Systems

We help banks move from legacy systems to secure cloud providers like AWS, Azure, and Google Cloud. This improves speed, reliability, and long term scalability.

Dashboards for Risk and Leadership

We build dashboards that show:

  • Risk exposure
  • Credit performance
  • Fraud alerts
  • Customer behaviour
  • Key financial trends
  • Branch or team performance

These insights help leaders make informed decisions with confidence.

Automation for Financial Operations

We automate repeated manual work such as:

  • Document checks
  • Data entry
  • Transaction review
  • Customer onboarding
  • Reporting
  • Audit preparation

This reduces errors and speeds up service delivery.

Compliance and Data Governance

We apply strict data rules to support KYC, AML, audit reporting, and regulatory needs. Every user action can be tracked, monitored, and controlled.

Why Choose Tenplus for Finance & Banking Projects

  • Deep experience with financial data systems: We understand the strict standards of risk, compliance, customer data, and audits.
  • Security first approach: We follow best in class security practices to protect sensitive financial data.
  • Fast modernisation with minimal disruption: Our method upgrades old systems while keeping operations stable.
  • Proven cost efficiency: We choose tools that deliver strong value without unnecessary spend.
  • Full end to end partnership: From strategy to deployment and training, we guide your team through every step.
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

  • Stronger fraud and risk detection.
  • Faster and safer onboarding.
  • Clear and accurate reporting.
  • Reduced operational delays.
  • Better compliance and audit support.
  • Reliable cloud infrastructure.
  • Real time visibility across financial operations.
  • Modern digital experiences for customers.
  • Scalable systems ready for new 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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