Transforming consulting in the age of AI

AI Accelerators that Deliver Data & AI Solutions Faster

Migrate your legacy data platform to the cloud in weeks not months. Build Agents to analyze your data in days not weeks. New DAIS accelerates your AI journey.

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The Foundation

Meet PETL. Your lakehouse, built by AI.

New DAIS's suite of AI Harnesses that extract, model, validate, and deploy. Source system to lakehouse in record time, with a human in the loop at every step.

Step 01

PETL Prep

Connects to your source tables and writes the extraction code that loads transactional data into the Bronze layer. Validates the data, sets up CDC, and schedules future loads.

Step 02

PETL Modeler

Designs the Gold star/snowflake schema from business requirements and modeling best practices. Using a synthetic copy of the data, the Modeler iterates with AI and expert feedback until it is right. It also designs the Silver layer and the ETL code that connects everything.

Step 03

PETL Pipeline

Implements the design. Takes the Modeler's output and builds the physical Silver and Gold layers in QA with all the appropriate ETL coding. Validates the solution and pushes to production when instructed.

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SECURE & GOVERNED

Your data never leaves your walls.

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On Top of the Platform

The platform isn't the point.

What you build on it is. Genie Spaces for self-serve BI, Chatalytics for conversational analytics, and custom decision-support agents that turn your lakehouse into business outcomes.

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[ SELF-SERVE INSIGHT ]

Databricks Genie Spaces

Governed natural-language BI over your Unity Catalog data. Business users ask questions in plain English and get audited, reliable answers against the same star schema PETL just built.

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[ CONVERSATIONAL ANALYTICS ]

Chatalytics

Our purpose-built chat app that turns your lakehouse into a natural-language interface. Ad-hoc answers without waiting on a BI analyst, with every query logged and explainable.

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[ BESPOKE AGENTIC WORKFLOWS ]

Custom Decision-Support & Automation Agents

Autonomous agents that reason across your data and execute authorized actions in your core systems. Purpose-built for the specific decisions and workflows that move your business.

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Common Inquiries

How is New DAIS different from generative AI wrappers?

We build operational agents, not just conversational interfaces. Our systems are engineered to securely connect to your databases, perform complex multi-step reasoning, and execute authorized actions in your core systems.

How do you handle data security?

We utilize isolated private cloud environments or on-premise deployments. All models run with zero-retention policies, meaning your enterprise data is never used to train generalized models outside your perimeter.

What is the typical deployment timeline?

Initial proof-of-concept deployments targeting a single workflow take 4–6 weeks. Full enterprise integration scales depending on the complexity of legacy infrastructure, typically ranging from 3 to 6 months.

Why is it helpful to have a data lakehouse on a modern cloud platform when designing an Agentic AI Solution?

A lakehouse gives agentic AI a governed, scalable, unified foundation for both data retrieval and action logging, two things agents do constantly. Without it, you end up with fragile, siloed pipelines that undermine the autonomy agents are supposed to have.