AI & Data Consultancy
Data-First AI
Data that makes AI get things right
From data audits and data platforms to AI assistants, we help enterprises build AI applications with grounded answers and workflows that truly save effort.
Works with the three major public clouds and leading data platforms
Start where you are
What do you most want to solve right now?
Pick the scenario closest to yours and see how we would approach it.
Let staff query data directly
AI Assistant
Ask questions about data and documents in plain language—every answer cites its source.
Repetitive processes eat up headcount
AI Agent Process Automation
Let AI handle repetitive work across systems, with people still approving the key steps.
Not sure which customers to prioritize
Predictive & Segmentation Models
Identify high-value customers and predict what comes next, so resources go where they matter.
Numbers don’t match and data is scattered
Data Platform
Turn scattered data into company-wide AI-Ready Data.
Why AI adoption stalls
Most enterprise AI projects get stuck on data
The problem is rarely the model—it’s the data and the process.
Data lives in Excel, departmental systems and the cloud with inconsistent definitions, so AI answers can’t be trusted.
The POC looks great but never plugs into daily operations, so it can’t scale.
Every new question waits on IT to build a report, and decisions fall behind the market.
Why Datas
Rooted in data, so our AI is more reliable
We started out building data platforms and reports, so we know what enterprise data really looks like. When we bring in AI, we get the data right first—so answers are reliable and built to last.
- Data firstAudit the logic and data quality before talking models.
- Cloud-neutralWe work with your existing AWS, Azure or Databricks environment.
- Delivery-focusedMeasurable outcomes, built into daily operations.
Methodology
Four steps to put AI to work
- Data auditBreak down processes and map data sources and business logic.
- Build the platformIntegrate data in a three-layer architecture to create a single source of truth.
- AI applicationsBuild assistants, agents or predictive models for each scenario.
- Operate & optimizeMonitoring, cost control and continuous iteration.
Case Studies
Real-world results
All cases are anonymized.
Aviation | Data Platform
Management Reporting Automation for an International Airline
T+1
Manual daily Excel reports replaced by automated updates and delivery
Automotive | Data Platform
Shared Data Platform for a Multinational Automotive Group
Daily to the cloud
Local data centralized automatically, with real-time data-quality visibility for HQ
Foundation | AI Application
Cloud Data Platform & AI Data Query
6 data types
Multiple data sources integrated, with natural-language data queries
FAQ
FAQ
What services does Datas offer?
We are an AI and data consultancy offering AI assistants (RAG), AI agent process automation, predictive and segmentation models, and data platform and data engineering services—end to end, from data audit and development to operations.
Can we adopt AI if our data isn’t organized yet?
Yes. We start by auditing your data sources and business logic and, where needed, build a data platform first so AI reads consistent, trustworthy data—then we roll out the AI application.
Which clouds and data platforms do you support?
We support the three major public clouds—AWS, Microsoft Azure and Google Cloud—and leading data platforms including Databricks, Snowflake, Amazon Redshift, Azure Synapse / Microsoft Fabric and Google BigQuery.
How do we get started?
Book a consultation to contact us. The process runs from requirements interviews and architecture design to development, acceptance and ongoing operations.
Is your data ready for AI?
Tell us about your situation and we’ll help you decide which use case will deliver results fastest.