Product Engineering built for Manufacturing companies
What is Product Engineering?
We treat engineering as a product function, not a ticket-closing factory. For Manufacturing companies, this means navigating ISO 9001, OSHA (US) while shipping fast.
Who needs Product Engineering for Manufacturing?
- Legacy equipment lacking modern connectivity
- Predictive maintenance data scattered across systems
- Supply chain visibility gaps
- Engineering executing roadmaps with no product input
- Features shipped that customers never asked for
Best Product Engineering company
Factory-floor software has to survive unreliable connectivity and decades-old equipment, not just modern offices.
We specialize in Product Engineering for Manufacturing, with a growing track record across industries that move fast.
Get a Product Engineering proposal tailored to your Manufacturing goals
Book a free 30-minute discovery callCommon Product Engineering mistakes we see across Manufacturing teams
- Legacy equipment lacking modern connectivity
- Predictive maintenance data scattered across systems
- Supply chain visibility gaps
- Quality control processes still largely manual
- ERP systems too rigid for plant-floor realities
How GarudLabs approaches Product Engineering for Manufacturing companies
Product discovery and technical feasibility input
Roadmap-aligned engineering delivery
Cross-functional product and engineering rituals
Technical debt management strategy
Shared metrics and outcome tracking
Core Technology Stack
ReactNode.jsPythonPostgreSQLLinearAmplitude
Timeline, investment & compliance
Typical timeline
Ongoing, quarterly engagement
Typical investment
$20,000 - $90,000 per month
Product Engineering engagements in this combination typically need to account for:
- ISO 9001
- OSHA (US)
- CE marking (EU)
- Industry 4.0 standards
Our Approach
The hardest part of Manufacturing work is rarely the feature list — it's legacy equipment lacking modern connectivity while staying inside ISO 9001. We structure sprints and code review around that constraint rather than treating compliance as a final pass.
See our case studiesStart your Product Engineering project with a team that knows Manufacturing
Get a free project cost estimateFrequently Asked Questions
Most Product Engineering engagements take Ongoing, quarterly engagement, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
Product Engineering projects with us typically range from $20,000 - $90,000 per month, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For product engineering, we typically work with React, Node.js, Python, PostgreSQL, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical product engineering engagement includes product discovery and technical feasibility input, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for product engineering because of engineering executing roadmaps with no product input, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple manufacturing projects addressing challenges like legacy equipment lacking modern connectivity. We helped a manufacturer cut unplanned downtime by 28% with a predictive maintenance dashboard.
For manufacturing clients, we pay close attention to ISO 9001, OSHA (US), building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for manufacturing clients include legacy equipment lacking modern connectivity and predictive maintenance data scattered across systems. We tailor our discovery process to surface the specific version of these problems your business faces.