75+
Engineers
Kodertal delivers production-ready AI solutions, from strategy to scale. We design, build, and integrate AI agents, LLMs, chatbots, and automation that fit your workflow, ship faster, and drive measurable business outcomes globally.
AI & LLM Services for the
Finance Industry
Optimize financial decision-making, enhance fraud detection, and automate compliance processes with AI-driven solutions tailored to the finance industry’s needs. We empower businesses to leverage data and AI to drive profitability, security, and growth.
75+
Specialists
99.9%
Uptime Targets
2–4
Week Kickoff
75+
Specialists
99.9%
Uptime Targets
2–4
Week Kickoff
Fraudulent activities continue to evolve, requiring real-time detection systems that can quickly adapt. Our AI solutions leverage machine learning to detect and prevent fraud across various financial transactions.
Our AI models analyze transaction patterns, flagging irregularities that suggest fraud, ensuring real-time alerts and minimizing the impact of fraudulent activities on your organization’s operations.
Our AI-driven fraud detection systems analyze transaction patterns and identify suspicious activity in real-time, reducing fraud and financial losses.
We build AI models that predict market trends and provide actionable insights, enabling more strategic and informed investment decisions.
Our AI tools ensure that your financial systems are compliant with relevant regulations by automating compliance checks, reducing the risk of human error.
AI models help you understand customer needs, predict behavior, and deliver personalized experiences, improving customer satisfaction and retention in the financial sector.
We use AI to analyze financial data and predict loan eligibility, improving the accuracy and efficiency of loan approval processes.
Our AI systems manage portfolios by analyzing market conditions and making real-time investment decisions, optimizing asset management for financial institutions.
We use predictive models to identify and mitigate risks, ensuring that financial organizations can proactively manage potential threats and reduce losses.
We create AI-driven dashboards that offer real-time insights into key financial metrics, improving decision-making and operational efficiency.
LLMs are used to automatically generate risk reports, summarizing financial data and providing actionable insights into potential risks that could impact your business.
LLMs help manage and process large volumes of financial documents, ensuring that critical data is quickly extracted and categorized for easy access.
We use LLMs to detect fraudulent activity by analyzing patterns in transaction data, helping to identify suspicious activity before it escalates.
LLMs enable financial institutions to automatically respond to customer inquiries and generate personalized responses, improving customer service and engagement.
LLMs are used to summarize financial reports and documents, providing concise, easily digestible insights for decision-makers.
LLMs help analyze market trends and provide predictive insights that inform investment decisions and financial forecasting.
LLMs assist in assessing the risk levels of investment portfolios by analyzing historical performance data and market conditions.
LLMs automate the creation of compliance reports, ensuring that financial institutions stay aligned with regulatory requirements without manual effort.
75+
Engineers
400+
Projects Deployed
27+
Industries Worked In
2
Development Facilities
10+
Years of Experience
350+
Happy Customers
24/7
Support Availability
95%
Client Retention
We specialize in building AI-driven solutions specifically designed to address the unique challenges faced by financial institutions, from fraud detection to regulatory compliance.
Our team brings deep expertise in artificial intelligence and large knowledge models (LLMs), delivering tailored solutions that improve efficiency, accuracy, and decision-making in finance.
We design AI solutions that are scalable and secure, ensuring that they can handle increasing workloads and meet stringent data privacy and security regulations.
With experience across diverse industries, including banking, fintech, and insurance, we bring proven knowledge of how to implement AI solutions that deliver results in financial environments.
We focus on delivering measurable outcomes for your business, ensuring that every AI solution we develop provides clear ROI and value to your financial operations.
We tailor our AI solutions to meet the specific needs of your financial organization, ensuring that the systems we develop are a perfect fit for your challenges.
Our commitment to long-term success means that we continuously optimize and maintain your AI systems, ensuring that they remain effective and up-to-date as your business grows.
We follow an agile development process, providing regular updates, transparent communication, and the flexibility to adapt as your needs evolve.
We shape roadmaps in 2–4 weeks, prioritize use cases, and align teams, data, and infrastructure together.
Our embedded squad scales with you, delivering weekly demos and supporting 10x growth safely, end-to-end.
We own delivery from discovery to launch in 8–16 weeks, integrating UX, backend, data, and APIs.
We monitor and optimize continuously, targeting 99.9% uptime, lower latency, and predictable costs after launch.
AI improves decision-making by providing real-time insights, automating risk assessments, and identifying trends in data. This allows finance teams to make more accurate, data-backed decisions.
We prioritize security in our AI solutions, implementing encryption, role-based access controls, and compliance with financial regulations like GDPR and CCPA to protect sensitive data.
Yes, our AI solutions are designed to seamlessly integrate with existing financial systems, ensuring smooth data flow and minimal disruption to your business operations.
Most of our AI-driven finance solutions are delivered within 2–4 weeks, providing quick improvements in data processing, decision-making, and efficiency.
AI improves decision-making by providing real-time insights, automating risk assessments, and identifying trends in data. This allows finance teams to make more accurate, data-backed decisions.
