Enabling Actionable Intelligence on Your data
As a trusted partner, Nexus helps organizations plan and build AI, data platforms, reporting, governance and cloud, on-premises or on Microsoft, AWS, Google Cloud, Snowflake, Databricks and more.
- Your platform. On-premises or in the cloud: Microsoft, AWS, Google Cloud, Snowflake, Databricks and more.
- Results in weeks. Accelerators deliver one outcome in about 30 days.
- Expert-built. Engineered for stability and growth.
Advice you can act on. Builds that last.
Plan it, build it, and put AI to work. The same team carries the work through.
Artificial intelligence
Agents, copilots and business context on your own data, with guardrails.
AI AgentsAI-Powered DevelopmentOntologies & Knowledge GraphsResponsible AI
Advisory
Strategy and roadmaps grounded in your data and your platform.
AI Strategy & Adoption RoadmapData & Analytics StrategyPlatform & Modernization StrategyData Governance Strategy
Delivery
Working systems on the platform you choose, expert-built.
Data EngineeringReporting & AnalyticsData GovernanceCloud ServicesAI grounded in your business
From the first roadmap to agents in daily use, on data your team already trusts and with guardrails from day one.
30 days. One outcome.
Get started faster with pre-built products
Nexus Enterprise Chat
An enterprise AI chatbot grounded in your own data, with security, governance and guardrails built in.
- Answers grounded in your documents, with citations
- Any major AI provider, or a self-hosted model
- Guardrails for personal data, prompt injection and sensitive topics
Nexus Cloud
Managed cloud hosting for your applications and data, run by the engineers who set it up.
- Virtual machines, managed Kubernetes and storage
- Snapshots and separate development and production environments
- Infrastructure ready for AI workloads
From first call to working results
Four short steps, with your team involved from the first week.
Step 1: Expert call
Thirty 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 30-minute call with an expert.