ENGINEERING THE
INTELLIGENCE LAYER
We architect the high-performance data substrates that power enterprise AI. From petabyte-scale ingestion to sub-millisecond inference.
Target State
AI IS THE
PRIMARY DRIVER.
Companies are racing to reinvent themselves by streamlining operations and delivering next-gen experiences.
Current State
NOT DATA
READY.
Pilots fail to scale. The bottleneck isn't the AI models but the legacy data substrates that can't support them.
The DAQ Architecture
BUILT FOR SCALE.
Modern Data Platform
Source Systems
sourceInternal databases, external APIs, and IoT streams providing raw data ingestion.
Raw Layer
bronzeImmutable landing zone. Stores history in original format with append-only strategy.
Curated Layer
silverCleansed, deduplicated, and validated data. Enforces enterprise schema and data quality.
Semantic Layer
goldBusiness-level aggregates and dimensional models optimized for high-performance querying.
Analytics & AI
serveDashboards, ML models, and downstream applications consuming trusted data products.
Control Plane & Governance
Metadata Store
Orchestration Engine
Modern Data Platform
Processing Methodologies
Real-Time Streaming Architecture
CORE SYSTEMS
Lakehouse Engine
Unified storage layer supporting ACID transactions, scalable metadata handling, and unification of streaming and batch data processing.
Computational Mesh
Decentralized data architecture enabling domain-oriented ownership while maintaining federated computational governance.
AI Foundry
End-to-end MLOps platform for feature engineering, model training, and low-latency inference serving.
Governance Protocol
Automated policy enforcement engine ensuring compliance, security, and data quality across the entire estate.
DEPLOYED
SOLUTIONS
Real-Time Fraud Detection
Stream processing pipeline analyzing millions of transactions per second to detect anomalies instantly.
Hyper-Personalization
Unified customer data platform feeding real-time recommendation engines and marketing automation.
Predictive Maintenance
Ingesting sensor telemetry to predict equipment failure and optimize supply chain logistics.
THE ENGINEERING PROTOCOL
Diagnostic & Blueprint
System architecture design and technical feasibility analysis.
Foundation Engineering
Infrastructure as Code (IaC) deployment and core pipeline construction.
Intelligence Layering
Implementation of advanced analytics, ML models, and serving APIs.
Operational Handoff
CI/CD integration, observability setup, and team enablement.