Streaming events become usable context as they happen.
Confluent Cloud provides the event backbone. Apache Flink transforms, joins, and enriches data before it reaches AI workflows.
Real-time AI · Financial services
Turn every event into intelligent action.
AInX is building a real-time AI platform for banks and fintechs, combining Confluent Cloud, IBM watsonx and the DataStax stack to turn live data into governed, grounded action.
Confluent data in motion IBM watsonx intelligence DataStax operational context
LIVE EVENT FLOW processing
Signal
Confluent Cloud + FlinkStream · filter · join · enrich
Context
watsonx.data Premium + OpenRAGLakehouse · policy · evidence
Memory
DataStax Astra DBOperational state · vectors · history
Action
watsonx.ai agent workflowReason · explain · recommend
Illustrative outcomeCase enriched → analyst review
Why now
AI needs the context of now.
Financial decisions lose value when data arrives late, operational state is fragmented, or the model lacks governed knowledge. AInX connects all three into one decision architecture.
Lakehouse knowledge and operational context work together.
watsonx.data Premium and OpenRAG organize governed enterprise knowledge; Astra DB supplies fast application state, vector search, and agent context.
Reference architecture
From event to evidence to action.
A modular real-time AI architecture spanning live event processing, a governed lakehouse, operational and vector context, enterprise RAG, models, agents, and human review.
FSI experiences
Fraud investigationAML intelligenceCustomer engagementRisk operations
AI & agent services
IBM watsonx.aiFoundation modelsAgent toolswatsonx.governanceHuman review
Knowledge & memory
OpenRAG in watsonx.data PremiumOpenSearchDataStax Astra DBVector searchAgent memory
Governed lakehouse
IBM watsonx.data PremiumStructured + unstructured dataOpen table formatsData intelligence
Real-time backbone
Confluent CloudApache Kafka®Apache Flink®CDCStreaming inferenceData contracts
Enterprise data
Core bankingPaymentsCRMDocumentsRisk & compliance systems
Confluent platform
The event backbone connects systems and turns continuous streams into contextual data products for AI.
- Kafka and connectors
- Flink stream processing
- Schema and data contracts
IBM watsonx
The governed lakehouse, model and agent services, and AI governance layer support enterprise deployment.
- watsonx.data Premium
- OpenRAG and OpenSearch
- watsonx.ai and governance
DataStax stack
Astra DB supplies elastic, low-latency operational and vector context for responsive applications and agents.
- Astra DB Serverless
- Apache Cassandra® foundation
- Data API and vector search
Two practical deployment patterns
Select the pattern according to data residency, latency, existing IBM investments, and cloud policy.
Real-time agent and RAG
Banking events → Confluent Cloud + FlinkLive state → Astra DB · governed content → watsonx.data Premium + OpenRAGReasoning and tools → watsonx.ai agent workflowExplainable recommendation → human or system action
Best suited to fraud, AML, service and event-driven engagement workflows that need fresh context.Hybrid governed AI lakehouse
On-premises and cloud sources → CDC and event streamsConfluent backbone → reusable governed data productswatsonx.data Premium on IBM Software Hub → lakehouse + OpenRAGwatsonx.ai, governance and enterprise applications
Best suited to regulated estates that need hybrid deployment, lakehouse governance, and controlled AI delivery.Initial focus
Built around decisions that cannot wait.
Our initial product direction targets high-value financial workflows where fresh context, grounded reasoning, and a clear human handoff matter.
◎
Fraud investigation copilot
Correlate transaction events, device signals, customer history, and investigation policy to prepare an evidence-rich case for analysts.
Detect · explain · route⌁
AML intelligence
Enrich alerts with live payment context and retrieve relevant controls, prior cases, and procedures for consistent review.
Enrich · retrieve · review◇
Event-driven engagement
Recognize meaningful customer moments in the stream and give service teams timely, policy-aware recommendations.
Listen · understand · engage△
Real-time risk operations
Combine fast signals with governed knowledge to support explainable decisions and human approval in operational workflows.
Assess · evidence · decideDesign principles
Enterprise AI with operational discipline.
The platform concept is designed for controlled adoption in financial services, from a focused MVP to production workflows.
01
Fresh context
Process the event while its business meaning is current.
02
Grounded answers
Retrieve relevant knowledge and preserve supporting evidence.
03
Human control
Design clear review points for sensitive decisions.
04
Open architecture
Connect models, data stores, and existing enterprise services.
About AInX
FSI domain depth meets enterprise data and AI.
AInX is a Vietnam-based technology startup building real-time AI solutions for financial services. Our experience spans IBM watsonx, lakehouse and governance platforms, data streaming, machine learning, risk and fraud architectures, and enterprise integration.
We combine that IBM platform experience with Confluent and DataStax technologies to develop practical use cases, validate architecture, and progress from MVP to governed enterprise deployment.
1
Connect the signalMap events, systems, and the decision that needs to happen.
2
Ground the intelligencePrepare the trusted knowledge and retrieval flow for the use case.
3
Prove the workflowBuild an observable MVP with a defined human review point.
4
Scale with controlOperationalize security, evaluation, monitoring, and governance.
Bring real-time context to your next AI use case.
Talk with AInX about an FSI architecture workshop or MVP.