Connected intelligence
We build modern lakehouse and warehouse platforms — then connect them with graph technology, AI, and advanced analytics so fraud, risk, customers, and operations become visible as relationships, not rows.
Foundation
Cloud or open-source lakehouse and warehouse architecture, built around your stack — not a forced platform.
Relationships
Customers, accounts, devices, suppliers, and documents are connected. Graph makes those links queryable.
Graph RAG
Documents, people, products, and processes stay attached to the answer — so AI is explainable, not generic.
Connected BI
Warehouse metrics, graph relationships, and AI together — from descriptive reporting to decision intelligence.
Observability
Source, pipeline, table, column, dashboard, and KPI in one connected view.
The problem
Organizations have more data than ever — still fragmented across warehouses, lakes, SaaS apps, documents, APIs, and logs. The question isn’t how to store more of it.
It’s how everything is connected, and what that connection means for the business.
The approach
A lakehouse or warehouse is the foundation. Graph, AI, and analytics sit on top so relationships become an intelligence layer — not another dashboard.
See our servicesThe outcome
Every engagement targets something you can measure: investigation time, fraud loss, data trust, productivity, or decision quality — with a path from pilot to production.
Why DotcomIQThat’s the intelligence layer between your data and your decisions.
Solutions
01 AML
Hidden relationships and suspicious financial networks that disappear when transactions are reviewed one by one.
02 Fraud
Customers, cards, devices, IPs, merchants, and payments connected into patterns transaction-level rules miss.
03 Customer 360
How the customer connects to products, households, risk, service, and the rest of the business ecosystem.
Contextual, explainable AI grounded in documents and relationships.
From source to KPI, so root cause and trust are visible.
Metrics plus relationships, so reporting becomes decision intelligence.
Dependency beyond tier 1, and alerts on emerging networks — not only volume spikes.
Why DotcomIQ
We start with the business problem — not the technology.
We design around your technology strategy instead of forcing a single platform.
We look for the relationships that unlock intelligence a table cannot show.
Structured data, graph relationships, and unstructured knowledge in one layer.
We design the path from a demonstration to a production architecture.
Time, cost, accuracy, risk, productivity, and decision quality.
We start with the business problem — not the technology.
We design around your technology strategy instead of forcing a single platform.
We look for the relationships that unlock intelligence a table cannot show.
Structured data, graph relationships, and unstructured knowledge in one layer.
We design the path from a demonstration to a production architecture.
Time, cost, accuracy, risk, productivity, and decision quality.
Services
Lakehouse, enterprise warehouse, open-source stacks, batch and streaming, and governance aligned to your cloud strategy.
ETL and ELT, CDC, streaming, data quality, orchestration, and modeling that turn raw data into trusted information.
Customer 360, fraud and AML, knowledge management, entity resolution, and lineage — modeled as relationships.
Graph RAG, vector search, LLMs, and knowledge graphs that retrieve relationships, not only documents.
Industries
AML, fraud, Customer 360, risk, regulatory intelligence, Graph RAG.
Fraud, claims intelligence, Customer 360, risk, network analysis.
Customer intelligence, fraud, recommendations, supply chain.
Fraud, customer networks, churn intelligence, network analytics.
Supply chain, supplier risk, asset intelligence, operations analytics.
Knowledge intelligence, entity relationships, research analytics.
Your technology preference. Our engineering expertise.
Whether you’re modernizing a platform, exploring graph technology, building enterprise AI, or working a fraud and risk problem — tell us about it.
A short note is enough. We’ll map it to data, relationships, intelligence, and outcome.
AML, fraud rings, Graph RAG, Customer 360, lineage, supply chain, connected BI, or early warning.
A senior data architect responds — not a sales sequence.
