We are measured on what ships, not what is proposed.

Longview is organized around four outcomes. Each one has a named owner, a deliverable you can inspect, and a way to walk away if it isn't working. The technical detail lives one level down. This page is about what you get.

The four outcomes

Pick the one that’s blocking you.

Most programs stall in one of four places. We have run enough of them to know which one you're in from the first call.

01 — PRODUCT ENGINEERING

Ship the product, not the prototype

Industrial design, mechanical engineering, DFM review, tooling and volume production as one continuous path. The design intent you approve in week two is still intact at the thousandth unit.

You get: CAD, DFM report, tooling package, first articles, ramp plan Typical entry point: a prototype that must become a product
Explore product engineering
02 — SOFTWARE & DATA

Make the software part of the product

Customer-facing apps, device software, cloud services and the data layer behind them — built by the same team that builds the hardware, so nobody can point at the other vendor when integration breaks.

You get: architecture, working releases, telemetry, handover docs Typical entry point: hardware is fine, the software is the bottleneck
Explore software & data
03 — INDUSTRIAL SYSTEMS

See and run the operation

Digital twin, PLM/PDM, MES and IoT telemetry that turn a plant into something you can observe, simulate and schedule. Commissioning problems get found in software instead of on the floor.

You get: 3D plant model, process simulation, machine-level status Typical entry point: a new line, or a plant nobody can see into
Explore industrial systems
04 — DELIVERY MODEL

Extend the team, not the headcount

When the constraint is people rather than scope, we embed senior engineers in your sprints and your tools — or take the whole workstream as a managed service with an SLA.

You get: named engineers, your rituals, weekly demos Typical entry point: roadmap is agreed, capacity is not there
See engagement models

Technical depth

What’s inside each outcome.

Deliberately one level down. If you want the specifics, processes, tooling, tolerances, stack, each capability page carries them.

Product Engineering
Industrial design · mechanical design · DFM and cost-down · 3D printing (SLA, SLS, FDM, metal) · CNC machining · injection molding and tooling · small-batch to volume ramp · fixture and jig design.
Open the capability page
Software & Data
Web and mobile applications · cloud architecture · API and system integration · real-time audio and video · 3D and interactive runtimes · AI-assisted workflows · data pipelines and telemetry.
Open the capability page
Industrial Systems
Digital twin and 3D plant visualization · process routing and simulation · equipment status via IoT · PLM, PDM, MES, WMS and OA deployment · CAD/CAE/CAM environment engineering.
Open the capability page
AI & Generative Design
Parametric automatic design · topology optimization and generative geometry · CAE validation loop · CAM toolpath generated per machine capability (3-axis / 2.5-axis).
Open the capability page
Delivery Model
Embedded pods · staff augmentation · fixed-scope projects · managed support with SLA · post-launch maintenance and knowledge transfer.
Jump to engagement models

Engagement models

How to buy, priced differently on purpose.

The most common mistake we see is buying capacity when the problem is scope, or buying a fixed-scope project when the problem is that nobody knows what to build yet.

Model 01

Fixed-scope project

A defined deliverable, a fixed price, a date. Best when the problem is understood and the risk is execution, not definition.

Best for: prototype-to-production, a defined system build, a tooling package

Priced on: scope and outcome
You own: the deliverable and the documentation
Model 02

Embedded pod

Named senior engineers inside your team, on your tools and rituals, with a technical lead who is accountable for output, not hours logged.

Best for: an agreed roadmap that needs capacity, a platform rebuild

Priced on: team composition
You own: the backlog and the priorities
Model 03

Managed service

We run the workstream and answer to an SLA — uptime, response time, release cadence. Best after launch, when the pressure shifts from shipping to staying up.

Best for: live products, plant systems, ongoing maintenance

Priced on: service level
You own: the outcome, not the staffing

How a program runs

You see something working before you commit budget.

Four stages, each with a deliverable you can hold. No stage bills you for discovery you could have done yourself.

01 / SCOPE

Two weeks, one workshop

A written plan with scope, fixed price and dates. If we're the wrong partner, we say so here.

02 / PROVE

A working slice in four weeks

A prototype, a pilot build, or one working vertical of the system. Real output, not a deck.

03 / BUILD

Embedded pod, weekly demos

Our engineers in your tools and rituals. You see progress every week, not at a milestone review.

04 / SCALE

Ramp, then hand over

Production volume, managed support, and documentation good enough that you don't need us forever.

Not sure which of the four you need?

Describe the symptom — a slipping launch, a prototype that won't scale, a plant nobody can see into. We will tell you where we think the real constraint is, even if it isn't us.