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Data-Centric AI. Built to Perform.

Duczer East provides data engineering consulting, data governance consulting, and agentic AI consulting for regulated enterprises. We build the pipelines and platforms, the governance your examiners ask for, and the semantic layer of shared definitions, ontology, and knowledge graph that makes AI answers consistent. Most AI initiatives stall because that layer is missing, so we start there.

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Semantics, RAG & Data Meaning

Ontology, knowledge graphs, document ingest, and why retrieval that returns the right documents can still answer wrong. Practitioner insights on the semantic layer under enterprise AI from the Duczer East team.

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What you are buying

Data engineering, data governance, and agentic AI consulting are different purchases with different outputs. Each produces something concrete that your organization owns afterwards.

Data engineering

What data engineering consulting produces

Data engineering consulting builds the pipelines and platforms that move data from where it is created to where AI and analytics can use it, governed and on time.

Batch and real-time pipelines, including change data capture
Streaming with Kafka and NiFi, on Cloudera or open source
The data platform: Cloudera, Databricks, or Snowflake
An open lakehouse on Apache Iceberg
Orchestration and transformation with Airflow and dbt
Pipelines that work alongside Informatica, including in Cloudera environments
Data quality checks and runbooks your team can operate

Data governance

What data governance consulting produces

Data governance consulting puts in place the rules, roles, and records that let you trust your data, and prove it to an examiner.

The operating framework: owners, stewards, policies, and decision rights
A data catalog in Collibra, Alation, or Atlas on Cloudera
An access model enforced in the platform, such as Ranger policies
Data lineage from source to report, with Octopai or Atlas
The evidence pack examiners and auditors ask for

Agentic AI

What agentic AI consulting produces

Agentic AI consulting delivers AI agents that act on enterprise data and systems. The groundwork comes first, because agents built on ungoverned, undefined data give inconsistent answers.

Governed data the agents are allowed to use
A semantic layer: ontology, shared definitions, and a knowledge graph on Neo4j
Retrieval over a vector database, grounded in that semantic layer
Agents and orchestration, connected through MCP and A2A
A decision trace that records the sources and steps behind each action

When the agents need to run on data that cannot leave your perimeter, see private AI on Cloudera.

Engagements

What you get, who owns it, and how long it takes

Every engagement starts with an AI Readiness Assessment. It tells you what your data, governance, and semantic layer need before AI can rely on them, and the plan is yours whether or not we do the work.

Duczer East data and AI engagements: deliverables, ownership afterwards, and typical duration
Engagement	What you get	Who owns it afterwards	Typical duration
AI Readiness Assessment	An assessment of your data, governance, and semantic readiness, with a prioritized plan.	You. The plan is yours whether or not we do the work.	2 to 4 weeks
Data platform and pipelines	Built pipelines, platform configuration, and runbooks.	Your data team, or us under a run agreement.	Scoped after the assessment
Data governance framework	Roles, policies, catalog, access model, lineage, and the evidence pack.	Your data office and stewards.	8 to 12 weeks
Semantic layer	Ontology, shared definitions, and the knowledge graph.	Your data office, maintained with the teams that use it.	Scoped after the assessment
Agentic AI use case	Agents in production, with a decision trace for review.	Your product owner, with our support if you want it.	Scoped after the assessment

The Missing Layer That Makes or Breaks AI

Agentic AI Solutions

Here's what DE sees again and again: organizations invest heavily in AI models, tooling, and infrastructure — then wonder why the results are inconsistent, unreliable, or impossible to scale.

Duczer East's senior AI leadership has made solving this the starting point of every engagement. We build ontologies that define your domain precisely, knowledge graphs that capture the relationships between entities, and vector databases that power semantic retrieval.

Semantic layer design — the definitions AI needs to reason correctly
Ontology architecture and domain modeling
Knowledge graph design and implementation
Vector database engineering for semantic search
Agent orchestration and multi-agent workflows
Retrieval-augmented generation (RAG) at enterprise scale

The Right Data, at the Right Time, in the Right Shape

Data Engineering

AI is only as good as the data behind it. Duczer East's data engineering practice — anchored by our Cloudera partnership — ensures your AI systems are fed by clean, governed, real-time data pipelines that you can trust and audit.

From change data capture to streaming architecture, DE builds the data infrastructure that transforms raw enterprise data into AI-ready fuel.

Real-time data pipelines and CDC implementation
Streaming architecture (Kafka, event-driven patterns)
Data quality, hygiene, and lineage tracking
Cloudera-powered data lakehouse architecture
Customer data platform capabilities where needed

Your Center of Excellence for Rapid AI Integration

AI Foundation Platform

The DE AI Foundation Platform is a structured accelerator designed to integrate real-time data, event-driven architecture, and secure AI agent access into a cohesive platform your teams can build on.

Rather than treating each AI initiative as a standalone project, Duczer East helps you establish a Center of Excellence — a governed, scalable foundation.

Scalable AI infrastructure and platform architecture
Real-time data and event-driven integration layer
Secure agent access management framework
Effective data hygiene and governance baked in
Accelerated time-to-value for new AI initiatives

Responsible AI That Earns Trust

AI Governance & Strategy

Deploying AI without governance is building on sand. Duczer East helps you establish the frameworks, policies, and organizational structures that make AI trustworthy, compliant, and auditable.

DE's governance practice isn't a checklist exercise. We embed accountability, transparency, and ethical oversight directly into your AI workflows.

AI strategy aligned with business outcomes
Ethics boards and Centers of Excellence design
Policy-encoded business rules and transparent reporting
Diversity in model selection, training, and deployment
Iterative training and organizational change management

The New Frontier of AI Connectivity

MCP & A2A Integration

The emergence of Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols is reshaping how AI systems connect to enterprise infrastructure.

Duczer East is at the forefront of implementing these protocols, enabling AI agents to securely access enterprise tools, databases, and services through standardized interfaces.

MCP server design and implementation
A2A protocol architecture for multi-agent systems
Secure agent-to-enterprise connectivity
Integration with existing API gateways and IAM
Production-grade agent orchestration infrastructure

Technology Stack

Powered by the Platforms That Matter

DE is platform-aware but not platform-locked. We choose the right tool for the problem. Our Cloudera consulting practice anchors the data platform work, up to private AI on Cloudera. And when the platform you already run needs operating hands, our Cloudera support practice keeps the estate healthy and staffed.

Semantic Layer / OntologyKnowledge GraphsVector DatabasesLLM OrchestrationEvent-Driven ArchitectureMCP / A2ACDC / StreamingRAG Pipelines

Questions

Data and AI consulting, answered plainly.

What does a data engineering consultant do?

A data engineering consultant designs and builds the pipelines and platforms that move and shape enterprise data: batch and real-time ingestion, streaming, the lakehouse or warehouse, orchestration, and data quality. The goal is data that analytics and AI can use, on a platform your team can operate.

What is data governance consulting?

Data governance consulting sets up how an organization owns, controls, and proves the state of its data: the operating framework of owners and stewards, a data catalog, an access model enforced in the platform, data lineage, and the evidence regulators ask for. In regulated industries it is what lets AI and analytics pass review.

How do I choose a data engineering or data governance firm?

Test five things: senior people doing the work rather than only selling it, hands-on experience with your platforms, references in regulated environments if you operate in one, clear ownership of what is delivered once the engagement ends, and whether the firm will tell you when a smaller step is enough.

What does data engineering and data governance consulting cost?

It depends on scope. Our engagements start with an AI Readiness Assessment, a fixed-scope assessment that takes 2 to 4 weeks. Build work is sized after the assessment; a data governance framework typically takes 8 to 12 weeks.

What is an AI readiness assessment?

An AI readiness assessment tests whether your data, governance, and semantic layer can support AI in production, and what has to change first. Ours is fixed-scope, takes 2 to 4 weeks, and ends with a prioritized plan that is yours whether or not we do the work.

What is agentic AI consulting?

Agentic AI consulting designs and delivers AI agents that take actions on enterprise data and systems. Done properly it starts with governed data and a semantic layer, then builds the agents, their connections through MCP and A2A, and a decision trace so every action can be reviewed.

Which platforms does Duczer East build on?

Cloudera, Databricks, and Snowflake for the data platform; Kafka, NiFi, and Apache Iceberg, either within Cloudera or as open source; Airflow and dbt for orchestration and transformation; Collibra, Alation, and Octopai for catalog and lineage; Neo4j for knowledge graphs; and vector databases for retrieval. We also often work with Informatica, including in Cloudera environments.

Start Here

Ready to Build AI That Actually Works?

Start with an AI Readiness Assessment: a fixed-scope, 2 to 4 week assessment of your data, governance, and semantic readiness, with a prioritized plan you keep either way.

Book an AI Readiness Assessment

(786) 505-5343

Contact Us

info@duceast.com

(786) 505-5343

66 W Flagler Street 9th Floor
Miami, Florida 33130