Engineering intelligence for mission-critical systems.
CBBA Consulting helps government and enterprise organizations design, modernize, and deploy secure AI, data, search, and cloud platforms that turn complex information into operational advantage.
REV. 2026
Modern technology. Practical outcomes.
We combine deep enterprise architecture experience with current AI and data engineering to solve high-value, operationally difficult problems.
Generative AI & RAG
Enterprise assistants, retrieval-augmented generation, knowledge graphs, local LLMs, embeddings, and secure AI integration.
AI / machine learning
Predictive analytics, anomaly detection, model integration, evaluation, fine-tuning, and production ML workflows.
Enterprise search
Elasticsearch, semantic and vector search, relevance engineering, large-scale indexing, and intelligent retrieval.
Data engineering
High-volume ingestion, ETL/ELT, streaming architectures, Spark, Kafka, NiFi, and Hadoop-ecosystem modernization.
Cloud & Kubernetes
Container platforms, Kubernetes, Docker, hybrid cloud, scalable application architectures, and workload modernization.
Enterprise architecture
Requirements, solution architecture, technical strategy, proofs of concept, and modernization roadmaps.
Experience where complexity matters.
Technology programs fail when architecture, mission, and implementation are treated separately. CBBA connects all three.
Decades of delivery across complex enterprise environments
Hands-on architecture and engineering, not slideware
Modern AI integrated with existing data and security constraints
Pragmatic modernization that protects prior technology investments
Built for heterogeneous environments.
Connect data to decisions.
A modern intelligence platform should connect structured, unstructured, and streaming data to search, analytics, applications, and AI, without compromising governance or mission requirements.
Enterprise data ingestion and integration
LLMs, RAG, knowledge graphs, and vector search
Elasticsearch, analytics, APIs, and mission applications
Kubernetes, cloud, on-premises, and hybrid deployment
REV. 2026
From problem to production.
We can enter at strategy, prototype, modernization, or implementation stage and work alongside your existing team.
Discover
Clarify mission, users, data, constraints, risks, and measurable outcomes.
Architect
Design a secure, scalable solution aligned with your current environment.
Prove
Build a focused prototype or pilot to validate architecture and value.
Deploy
Operationalize, integrate, measure, document, and transfer knowledge.
Have a difficult data or AI problem?
Tell us what you are trying to accomplish and where the current architecture is getting in the way.