Transac AI project is geared towards generation of enriched summaries and insights from complex transactional data in real-time or batch using Generative AI and Large Language Models (LLMs).
Imagine fine-tuned LLMs serving as a specialists working several times more efficiently than multiple human analysts, and capable of analyzing hundreds of transactions per second to generate insights and ensure compliance, risk management, and fraud detection; all in real-time. This is the power of Transac AI.
Transac AI is built using a highly scalable, available, and reliable Kubernetes-based distributed microservices & event-driven architecture. This is enabled through the use of low-latency and high-throughput inter-connections between services using gRPC, Apache Kafka, Connect RPC, and GraphQL.
Transac AI focuses on delivering human-centric analysis that is easier to understand and act upon, eliminating the need for multiple complex data processing steps to derive insights from raw transactional data in real-time and in natural language.
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Some of the core features of Transac AI include:
- Real-time Insights Generation: Transac AI is capable of generating insights from transactional data in real-time.
- Scalable: Transac AI is built using a highly scalable, available, and reliable Kubernetes-based distributed microservices & event-driven architecture.
- Generative AI: Transac AI uses Generative AI and Large Language Models (LLMs) to generate insights from transactional data in natural language.
- Low-latency and High-throughput: Transac AI uses low-latency and high-throughput interconnections between services using gRPC, Apache Kafka, Connect RPC, and GraphQL.
- Automated Compliance, Risk Management, and Fraud Detection: Transac AI can be used to automate compliance, risk management, and fraud detection tasks using sophisticated prompts and fine-tuned LLMs.
The below image shows the flow of generating insights from transactional data and provides a high-level overview of the underlying distributed event-driven architecture of Transac AI.
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