AI-First Data Consultancy

Your AI is only as good as the
data beneath it.

Data 2 Business builds the data foundation that makes enterprise AI work, and then the agents that run on top of it.

AI-First
Every engagement, by design
Five
Disciplines, one delivery team
Strategy → Prod
From blueprint to running systems
Who we are

We treat data as the product, not the byproduct.

Data 2 Business is a data and AI consultancy for companies that are done experimenting. We don't start with the model. We start with the architecture, the governance and the engineering underneath it, because that is what decides whether AI turns into something the business can rely on or an expensive demo.

Foundations first

We fix the data layer before the model layer. Without a clean foundation there is no trustworthy AI.

Governed by design

Trust, lineage and quality go into the platform on day one, instead of being added later.

Built to ship

Production-grade engineering, not slideware. The systems we build go into production and keep earning their cost as they scale.

The AI-First principle

Most AI projects don't fail at the model.
They fail at the data.

Hallucinations, stalled pilots and answers nobody trusts usually come from the same place. The architecture underneath is fragmented and the pipelines break. Governance is thin or missing. AI-First means we build in that order first, so that by the time the agents arrive they have clean, governed data to reason over. Everything below follows that sequence, from the first blueprint to agents running in production.

Partnerships

We build on platforms our clients already run.

D2B partners with Salesforce, Informatica, IBM and Snowflake. We work on other platforms when a client's estate calls for it, because the right stack is usually the one already in the building.

What we do

Five disciplines, one path
to AI that works.

Each layer makes the next one possible. The first four build an AI-ready foundation; the fifth turns it into intelligence that acts.

01

Data Architecture

The blueprint everything else stands on. We design the lakehouse, domains, and data contracts your future AI workloads will depend on, modeled for reasoning and not just for reporting.

Lakehouse Data Domains Contracts Semantic Layer
Foundation
02

Data Governance & Quality

The trust layer. Lineage, ownership, access policy, and continuous quality checks, so the data feeding your models is accurate, traceable, and auditable enough to build AI you can defend.

Lineage Data Quality Catalog Access & Policy
Trust
03

Data Engineering

The plumbing that moves it all. Reliable batch and streaming pipelines, orchestration, and observability that keep data flowing into your AI systems fresh, tested, and on time.

Pipelines Streaming Orchestration Observability
Pipeline
04

Data Modernization

The leap from legacy to AI-ready. We migrate brittle warehouses and siloed systems to a cloud platform built for scale, cost control, and the kind of workloads modern AI demands.

Cloud Migration Platform Cost & Scale Legacy Exit
Platform
05

AI Agents

The payoff. With the foundation in place, we build agents that act on your data: automating workflows, answering with grounded context, and making decisions you can trace back to a trusted source.

Agentic Workflows RAG Automation Grounded & Traceable
Intelligence
New · Agent Governance

Your AI agents are already working inside your company. Can anyone see them?

Business teams are building AI agents faster than IT and compliance can govern them. Agent Governance by Design gives you visibility and control without giving up the productivity that drove adoption in the first place. It starts with a fixed-scope Risk Snapshot, three weeks.

Explore Agent Governance
Get in touch

Let's talk about
your data.

Tell us where you are. A stalled AI pilot, a messy data estate, a green field. We'll tell you the shortest route to a foundation worth building on.

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