Data and AI that people act on
Nexus builds AI, data platforms, reporting, governance and cloud on Microsoft, AWS, Google Cloud, Snowflake or Databricks.
- Any major platform. Microsoft, AWS, Google Cloud, Snowflake or Databricks.
- Results in weeks. Accelerators deliver one outcome in about 30 days.
- Handover included. Documentation and training, so your team can run it.
AI-Powered Development
Copilots, AI agents and AI features built on your own data and documents.
- Copilots and agents in the tools you use
- Grounded answers with citations
- Accuracy you can measure
Data Engineering
Lakehouses, warehouses, monitored pipelines and legacy modernization, so data arrives on time.
- Lakehouse and warehouse builds
- Monitored, metadata-driven pipelines
- Legacy warehouse modernization
Reporting & Analytics
Dashboards on certified semantic models, so everyone reads the same numbers.
- Reports and dashboards
- Certified semantic models and metrics
- Automated management reporting
Data Governance
Owners, catalogs, quality rules, lineage and access policies, so people can trust the data they use.
- Catalogs, owners and certified datasets
- Quality rules and lineage
- Access, labels and AI governance
Cloud Services
Cloud environments on Azure, AWS or Google Cloud, designed, migrated, secured and run for you, including managed hosting.
- Architecture and staged migration
- Managed hosting and Run service
- Cost, security and DevOps
30 days. One outcome.
Reliable Pipelines
Data loads on schedule, and a failure alerts the right person in minutes.
Data Engineering
Governed Data
Core datasets are findable, owned, protected and trusted.
Data Governance
Trusted Semantic Models
The same question gets the same answer in every report.
Reporting & Analytics
One AI Agent in Production
An agent answers from your data, cites its sources and refuses when it lacks evidence.
AI-Powered Development
From first call to working results
Four short steps, with your team involved from the first week.
Step 1: Scoping call
Twenty minutes on what you want to change. We tell you how we would approach it.
Step 2: Proposal
Within two business days: scope, plan and timeline.
Step 3: Build
We build on your data, with a short review every week.
Step 4: Handover & Run
We hand it over to your team and can keep it running.
Our clients include
- UtilitiesMeters, work orders, assets and outages
- Natural resourcesProduction, field data and legacy warehouses
- HealthcareOperations, staffing and sensitive data
- Financial servicesTransactions, customers and risk
- Retail & consumer productsSales, inventory and margin
- Media & entertainmentAudiences, content and licensing
- Digital & subscriptionMembers, engagement and product usage
- AutomotivePricing, listings and market data
What we've learned
From AI pilot to production
A strong demo is a great start. Here is what it takes to reach production.
How good governance accelerates Data and AI programs
Trust in data grows when people understand what it means, where it comes from, and who is responsible for it.
Choosing a data platform: start with requirements, not features
Before comparing features, establish what your platform must make possible and what your team can sustainably operate.
Tell us what you're working on
Share a few lines about your data and goals, and we'll set up a 20-minute scoping call.