The Data Foundation for
What Comes Next
We make organizations AI-ready, then put AI to work.
From reliable pipelines to agents embedded in daily operations, we build the platforms that make AI deliver. Clear timelines, honest guidance, and systems your teams can trust.
The Sequence That Makes AI Work
AI does not fix a weak data foundation. It industrializes whatever foundation you already have, gaps included. This is the order we build in.
Built bottom up
Source systems · CRM, ERP, product, finance, files
Semantic Layer
Where trustworthy answers are won or lost. It encodes what your business actually means, so the model never has to guess.
- Explicit join paths, so orders and customers connect one correct way
- Net revenue is defined once, not reinvented on every query
- Synonyms resolve revenue, sales and turnover to the same number
- Verified queries ground behaviour on patterns you have already validated
Governance travels with the AI. AI-generated SQL is still SQL. It runs under the role of the person asking, so row access and masking policies apply to an agent exactly as they apply to an analyst. No parallel security model to maintain.
How an engagement actually runs
Stages overlap. Each one produces something usable on its own.
Durations vary with the starting environment and how much of the organization is in scope. Treat them as relative effort, not a quote.
The most common mistake is trying all of it at once, across every domain. Take one domain end to end and let a working example build the case for the next.
Start with an AI readiness conversationSeven Ways We Move You Forward
An external data team across the full stack, from architecture to AI in production.
Data Architecture & Governance
Secure, scalable architecture with clear ownership and access control.
Data Engineering
Production-grade pipelines and analytics-ready models.
AI & Machine Learning
Practical ML that adds measurable value to your platform.
Analytics & Agentic Activation
Dashboards, metrics, and agents your teams actually use.
Generative AI
LLM applications grounded in your governed data.
Data Migrations
Modern platforms, minimal downtime, validated results.
Software Engineering
Custom data-driven software, built into your workflows.
Customers
At Netskope, DSC has provided support in setting up our analytics environment, helping to define and execute key metrics as well as maintain our programs. With expertise in Fivetran, Snowflake, DBT and Looker, the DSC team are a perfect match for our environment. DSC is reliable, responsive, and a core part of the Netskope team.
Mike Westlund,
VP Enterprise Data & Analytics, Netskope
Partners
