Linktera AI delivers advanced analytics and artificial intelligence solutions that transform data into enterprise-wide intelligence.
From client analytics and predictive modeling to AI-powered decision systems, intelligent architectures are designed to elevate performance, strengthen resilience, and unlock measurable growth across industries.
With deep expertise in credit risk management, corporate scoring, and decision support systems, scalable AI models optimize retail and commercial processes while minimizing risk and improving decision accuracy. Across sectors, organizations leverage predictive analytics, segmentation, churn modeling, and operational intelligence to shift from reactive reporting to proactive, data-driven strategy.
A consulting-led approach ensures that advanced technology is always aligned with business logic positioning AI as a trusted foundation for sustainable competitive advantage.
30+
Successfully delivered AI & analytics projects
20+
Enterprise clients supported with ongoing solutions
500M+
Data records processed annually for modeling & analytics
85%+
Accuracy rate in predictive sales forecasting models
30%
Reduction in operational time through intelligent automation
20+
Enterprise clients supported with ongoing solutions
Our Approach
Model Development
Methodology Design
Implementation Across Platforms
Scenario Simulation
Automated Reporting
Scenario Simulation
Advanced Analytics & AI Consulting
Customer Analytics
Predictive Analytics
Artificial Intelligence (AI)
Our Expertise in AI & Data Analytics
Specialize in credit risk management, corporate scoring, and data-driven decision support systems
Build AI-powered models to automate and optimize retail and commercial credit evaluation processes for banks
Provide predictive modeling, customer segmentation, churn analysis, and operational efficiency solutions tailored to enterprise needs
Deliver scalable solutions that minimize financial risk and improve decision accuracy
Take a consulting-led approach that combines strategic data usage with actionable business insights
Our Products, Linktera
RateLink is an integrated platform designed to optimize risk assessment processes for financial institutions from end-to-end, consolidating powerful calculation modules such as Application, Parent Company Support, Override, and Behavioral Rating under a single roof. By analyzing customer risk profiles with a multi-dimensional approach, the system empowers you to make data-driven strategic decisions and execute top-level risk management through dynamic dashboards for real-time portfolio monitoring and transparent detailed reports that drill down to the sub-parameters of calculated scores
Credit Boost is a high-performance AI Decision Support Tool and scoring solution tailored for Retail, Micro, and SME segments. Its flexible No-Code architecture automates critical decisions such as approvals, limits, collateral, and maturity through dynamic decision trees, while maximizing collection performance via automated credit bureau (KKB) data parsing, actionable advanced reporting, and AI-based NPL management. Empowered by a field-proven, ready-to-use AI score trained on big data, it accelerates your risk decisions and ensures reliability across your portfolio.
CreditWatch
CreditWatch is an AI-powered early warning platform designed to empower banks in managing their credit portfolios proactively. Leveraging advanced analytic models and flexible rule sets, the system detects customer risks in real-time to minimize Non-Performing Loan (NPL) ratios, thereby preventing potential losses to safeguard profitability and ensuring comprehensive, long-term portfolio health.
TERA9
Tera9 is an advanced platform designed to deliver fast, flexible, and reliable IFRS 9 ECL calculations. Built on a robust Python infrastructure with a modern Java-based interface, it enables seamless integration while offering comprehensive scenario and metric simulations, individual assessments, and detailed reporting. All scenario and metric changes are automatically stored in DWH systems, ensuring a complete historical audit trail. With role-based access, a maker–checker framework, and full audit capabilities, Tera9 provides end-to-end regulatory compliance and makes IFRS 9 processes more transparent, controlled, and efficient. The solution has already been successfully implemented in both domestic and international banks of all sizes.
proFIT
The proFIT Modeling Tool transforms the strategic decision-making process for financial institutions, moving far beyond a traditional reporting function to deliver a dynamic scenario-analysis engine. This unique capability allows users to not only view current performance but also to interactively simulate and recalculate all critical components of proFIT including Risk-Adjusted Return, Operating Costs, Expected Loss, and Economic Capital. For instance, you can instantly observe the net effect on the return on capital of a 5 bps increase in credit loss rates within a specific product portfolio, or the impact of an operational efficiency improvement. These simulations empower management teams to gauge the realizable proFIT values under various economic assumptions and strategic decisions. Consequently, even in an uncertain environment, you can determine capital allocation strategies that yield the highest risk-adjusted return with scientific precision, grounding your pricing decisions on a proactive basis to maximize profitability.
SalesForecast
SalesForecast is an AI-driven forecasting platform designed to predict future sales volumes and associated cash flows with high precision. By analyzing historical performance data, seasonality effects, and market trends within a holistic model, the system eliminates uncertainty in inventory management, budgeting, and strategic resource planning processes, enabling you to achieve data-driven and profitable growth targets.
Data Anomaly Tracker (DAT) analyzes your data universe with a holistic approach using Artificial Intelligence and Machine Learning, detecting not just isolated errors but also hidden anomalies arising from complex relationships within data sets. By evaluating deviations from normal data flow within the big picture and identifying them in real-time, the system maximizes operational security and efficiency, enabling rapid action to maintain the health of all your data-driven processes.
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