Nexus Enterprise Chat
An enterprise AI chatbot grounded in your own data, with security, governance and guardrails built in.
Product screens shown with demo data.
Actionable intelligence. Data and AI your leadership can stand behind.
Nexus works with data leaders to plan, build and govern AI, analytics and data platforms, on the platform you already run.
- On-premises
- Microsoft Azure and Fabric
- AWS
- Google Cloud
- Snowflake
- Databricks
Built around what data leaders answer for
Four priorities come up in almost every first call. Each one has a team, a set of services and a 30-day way to start.
- One AI Agent in ProductionResults in about 30 days
Move AI from pilot to production
Agents and copilots grounded in your data, with approvals, evaluation and a record of every action.
- Trusted Semantic ModelsResults in about 30 days
One version of the numbers
Certified semantic models and agreed metrics, so every report and every assistant gives the same answer.
- Governed DataResults in about 30 days
Governance people follow
Owners, quality checks and access rules built into daily work, with clear policy for how AI may use your data.
- Reliable PipelinesResults in about 30 days
A platform that keeps up
Pipelines and cloud foundations on the platform you choose, monitored, secure and kept within budget.
From first call to working results
Your team works alongside ours from the first week, so they are ready to own the result.
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.
Industries we know
Since 2009, across regulated and fast-moving sectors.
- 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
Thinking for data leaders
From AI pilot to production
A strong demo is a great start. Here is what it takes to reach production.
Applied AI · 5 min readRead
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.
Data governance · 5 min readRead
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.
Data strategy · 5 min readRead
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.