What we do

Technology that works together.

Rubix helps organizations manage, connect, improve, and expand their technology. Whether you need ongoing IT support, better reporting, custom development, or practical AI, we build around the systems and workflows you already have.

Five services. One connected strategy.

Each service can stand alone or work together as part of a larger technology plan.

Managed IT & Support

Keep your technology running.

Response time
Defined in your agreement, not "best effort"
Coverage
Endpoints, network, and cloud — including appliances we ship
Escalation
One company, one path, no vendor hand-offs

We manage the systems your organization depends on, from endpoints and networks to cloud services, backups, security, and daily support.

Most managed-service agreements cover monitoring and a help desk and stop there. We go further: patch and backup verification that is actually tested, identity hardening across every account your team touches, and one company handling support, engineering, and product — so nothing falls into a gap between vendors.

What’s included

  • Proactive monitoring and maintenance
  • Help desk and user support
  • Cloud, network, and endpoint management
  • Backup, recovery, and system updates

What this looks like in practice

  • Infrastructure assessment and a documented remediation plan
  • Monitoring, alerting, and patch management on a defined schedule
  • Backup and disaster-recovery testing, not just backup jobs that run
  • Identity, access, and endpoint hardening (SSO, MFA, least privilege)
  • Help desk and end-user support under a response-time agreement
Explore Managed IT

Systems Integration

Connect the systems you already use.

Typical driver
Two systems that stopped agreeing about one record
Approach
Documented interfaces, not a black-box connector
Outcome
Access provisioned once, not re-keyed four times

We bring applications, databases, devices, and workflows together so information moves accurately and work does not have to be repeated.

Most "integration problems" are really two systems disagreeing about the same record. We design interfaces with the failure modes worked out in advance, plan migrations around a rollback that has actually been tested, and hand over documentation your own team can support afterwards — instead of a fragile connector only we can touch.

What’s included

  • Application and data integrations
  • Identity and directory connections
  • Migration and implementation support
  • Workflow and process automation

What this looks like in practice

  • Point-to-point and platform integrations between clinical, financial, and operational systems
  • Identity and directory integration, so access is provisioned once instead of per system
  • Data mapping and transformation between incompatible formats and schemas
  • Migration and cutover planning built around a working rollback
  • Interface documentation and monitoring your own team can maintain
Explore Systems Integration

Data Analytics

Turn your data into clear answers.

Sources connected
Clinical, ERP, CRM, and billing — one model
Build order
Warehouse first, dashboards second, on purpose
Handoff
Documented lineage your team can maintain

We organize information from across your systems and transform it into dashboards, reports, and reliable insights your team can use.

Six systems rarely agree on a number, and a spreadsheet nobody can audit is not a data strategy. We build the pipeline first — the unglamorous work of getting data out of source systems, cleaning it, and modelling it — because a dashboard built on bad data is just a more convincing way to be wrong. Once that foundation is solid, we layer in reporting, and AI where it is actually warranted.

What’s included

  • Data pipelines and warehousing
  • Operational dashboards
  • Automated reporting
  • Data validation and cleanup

What this looks like in practice

  • Data pipelines and ETL/ELT between clinical, ERP, CRM, and billing systems
  • A modelled warehouse with documented lineage, not a folder of spreadsheets
  • Operational dashboards built for the people who use them daily
  • Automated, scheduled reporting that replaces manual exports
  • Data-quality auditing, de-duplication, and master-data cleanup
  • Search and vector indexes that make a document corpus usable by AI, when that is the next step
Explore Data Analytics

Custom Software & Hardware

Build what your operation actually needs.

Output
Software, hardware, or both — whichever the workflow needs
Ownership
Maintained under agreement, or handed over with docs
Track record
We ship our own hardware-based products, too

When standard products cannot meet the need, we design software, hardware, and connected solutions around your environment.

When the product you need does not exist off the shelf, we design it — including, when the workflow calls for it, the physical box it runs on. We have shipped our own hardware-based products, so a purpose-built appliance is a normal engagement here, not an exotic one, and every build is either maintained under an ongoing agreement or handed over with full documentation.

What’s included

  • Custom applications and internal tools
  • Purpose-built appliances
  • Embedded and edge solutions
  • Product design and deployment

What this looks like in practice

  • Line-of-business applications built around an actual workflow, not a generic template
  • Purpose-built appliances: hardware, firmware image, and management interface
  • Embedded and edge deployments for sites with no room for a server rack
  • Modernizing an application that still works but can no longer be safely maintained
  • Taking a prototype to something a customer can install, license, and update
Explore Custom Solutions

AI Development & Integration

Put AI to work inside your organization.

First step
A feasibility review before any build starts
Guardrails
Tool-level risk gates and human approval steps
Deployment
Cloud, private, or fully on-premise

We create secure AI tools that help teams find information, process documents, automate repetitive work, and make better decisions.

We build LLM features into software that already has real users — retrieval over your own documents, extraction that clears a manual review queue, and agentic automation with permission boundaries a compliance officer can actually sign off on. Every deployment starts with a feasibility review, because the fastest way to lose trust in AI is to ship a feature that demos well and quietly gets the wrong answer in production.

What’s included

  • Private knowledge assistants
  • Document classification and extraction
  • AI-powered workflow automation
  • Private and on-premise deployments

What this looks like in practice

  • Feasibility review: what AI would, and would not, meaningfully improve
  • Retrieval-augmented assistants over your documents and records, with citations
  • Document classification and extraction that replaces manual review queues
  • Agentic automation with tool-level risk gates, audit logs, and human approval steps
  • Evaluation harnesses, so accuracy is measured before anyone depends on it
  • Private and on-premise model deployment, provider-agnostic by default
Explore AI Solutions

Ways to work with us

Flexible ways to work with Rubix

Project-based

Bring us in for a defined implementation, migration, integration, or custom build.

Ongoing support

Let Rubix operate, maintain, and improve your technology over time.

Embedded partnership

Add Rubix engineering, data, security, or AI expertise directly to your internal team.

Get in touch

Not sure where to start?

Tell us what is slowing your team down. We will help identify the right service, define the next step, and build a practical path forward.

Or email ussales@rubixtechnology.com

Prefer to talk? The number is in the header, on every page.