The intelligence layer
your operation is missing.
We design, build, and operate AI systems, custom software, data infrastructure, and integrations for organizations whose workflows are too complex, too specific, or too high-stakes for off-the-shelf tools.
Six clusters.
Deployed individually or composed.
Every engagement starts inside your environment, not a slide deck. We ship the smallest valuable operating loop first, then expand.
AI Systems & Agents
Bespoke agents that search, reason, draft, classify, route, and execute inside controlled business workflows.
- Enterprise agents
- Workflow copilots
- RAG systems
- Knowledge search
- Agentic automation
- LLMOps & evals
- AI governance & guardrails
Operational Software
Custom enterprise platforms for the workflows SaaS can't reach, internal tools, mission dashboards, field ops.
- Custom platforms
- Internal tools
- Mission dashboards
- Process automation
- Field operations
- Legacy modernization
Data Infrastructure & Intelligence
Pipelines, warehouses, dashboards, and ML models that turn scattered information into decisions.
- Data pipelines
- BI & analytics
- Warehouses & lakehouses
- Real-time dashboards
- Predictive analytics
- MLOps
Systems Integration & Interoperability
Secure system-to-system interoperability for organizations with messy legacy and modern platforms side-by-side.
- ERP / CRM integration
- API architecture
- Middleware
- Government interoperability
- Identity & payment exchange
- Secure data workflows
Cloud, DevOps & Reliability
Production-grade infrastructure for systems that must be secure, observable, scalable, and cost-controlled.
- Cloud architecture
- CI/CD
- Observability
- Security hardening
- Cost optimization (FinOps)
- Infrastructure as code
Immersive & Digital Experience
Premium websites, 3D/WebGL storytelling, XR training, digital twins, and motion systems.
- Enterprise websites
- 3D product storytelling
- XR / AR / VR training
- Digital twins
- Interactive simulations
- Motion & brand activation
One operating system,
composed of six layers.
Verne systems are typically organized around this reference architecture. Layers compose: you can engage on a single layer or have us build the full stack against your real environment.
How we work with you.
Four contract shapes. All are forward-deployed, Verne engineers work inside your environment with your team, not from a black box.
Forward Deployment
Embedded engineers + architects working inside your operation, against your real systems. Typical: 12–24 weeks per system.
Discovery & Audit
7–10 day systems readiness audit. Maps workflows, data, automation opportunities, and risk surface. Outcome: prioritized roadmap.
Build Sprint
Focused 6–10 week sprint to ship a single operating loop end-to-end, agent, integration, dashboard, evals.
Steady-State Ops
Ongoing engineering retainer for systems we've shipped, measurement, hardening, evolution, expansion.
Production-grade stacks. Engineered for audit.
A representative slice of what we run in production. We choose tools per engagement based on environment, compliance, and skill transfer, not vendor allegiance.
Bring us your
most complex workflow.
In 7–10 working days, Verne maps your workflows, data sources, repetitive decisions, automation opportunities, and AI risk areas. You receive a prioritized roadmap showing what to automate, integrate, avoid, and build first.