ServicesPath / Services

Build what the
work needs

Path works alongside your team to design, build, and run software, AI, and infrastructure around how your business operates.

Forward-deployed

Engineering

Applied

AI transformation

End to end

Hardware + infrastructure

Embedded with your team

From the first friction to the whole system

We start inside the work, with the people who understand it. The result can be a focused workflow, an operating system, or the physical infrastructure underneath it.

Path team members working together with their laptops in the Austin office

One team, three layers

We can work at one layer or own the connected system from operating model through deployment.

01

Forward-deployed engineering

Senior engineers work alongside your operators from discovery through production. We learn the operation, build the system, and stay close as it meets real work.

Best when

Complex operating work that cannot be solved by configuring another off-the-shelf tool.

  • Process, data, and system discovery
  • Custom apps, integrations, and workflow automation
  • Data migration, testing, and production deployment
  • Ongoing iteration, documentation, and enablement

02

AI transformation + consulting

We identify where AI can improve a decision, remove repetitive work, or create a new capability. When it is relevant, we take the work from strategy to a governed production system.

Best when

Leaders who want a practical AI roadmap tied to operating outcomes, not a collection of experiments.

  • AI opportunity and readiness assessment
  • Data architecture, governance, and operating model
  • Agents, copilots, decision support, and automation
  • Adoption planning, measurement, and team training

03

Hardware + infrastructure

When the system needs a physical foundation, we can scope, procure, stage, deploy, and manage it. We source established manufacturers or implement Path hardware when the environment calls for it.

Best when

Work that crosses software, facilities, devices, private compute, or constrained environments.

  • Employee devices, networking, security, and storage
  • Edge compute, private AI, and on-site infrastructure
  • Procurement, configuration, rollout, and lifecycle support
  • Purpose-built Path hardware when standard equipment is not enough

Our AI standard

AI is a tool, not the engagement.

Use AI where it earns its place

We recommend AI when it can improve a real decision, remove repetitive work, or unlock a capability that conventional software cannot. The outcome matters more than the model underneath it.

Built down to the foundation

The hardware should fit the work

We can procure proven commercial equipment or design and implement Path hardware when a site needs private compute, edge processing, or a more purpose-built foundation.

01

Source

Select and procure proven equipment from established manufacturers.

02

Stage

Configure devices, networks, security, and compute before rollout.

03

Deploy

Install the complete system across offices, sites, and field environments.

04

Operate

Monitor, support, replace, and improve the foundation over time.

A practical way forward

No predetermined stack and no handoff at the first release. We choose the tools that serve the outcome.

01

Get close

Work with the people who know the operation and trace where information, decisions, and handoffs break down.

02

Build the right thing

Use Path, connect the tools already in place, or introduce different technology when the outcome requires it.

03

Keep improving

Launch into real work, measure what changes, and evolve the system as the business and its constraints change.

Start with the problem

Tell us what needs to work better

We will start with the operation, then work out what belongs in the solution.

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