LA New Product Development Team

LA New Product Development Team We bring your product ideas to life! We are a one-stop-shop for new product development and manufacturing.

That means we do everything from ideation to production. That includes product design, prototyping, manufacturing, and fulfillment. We also provide individual services such as 3D printing, 3D scanning, reverse engineering, mobile app development, PCB design, electronics development, design for manufacturing, and more.

Organizations increasingly rely on open innovation (OI) to access external knowledge, technologies, and expertise. But a...
09/07/2026

Organizations increasingly rely on open innovation (OI) to access external knowledge, technologies, and expertise. But a promising idea alone doesn’t justify investment. Before committing resources, companies must determine whether the idea solves a real problem, has market potential, and aligns with their ability to execute.

WHAT IS INNOVATION READINESS?

Innovation readiness evaluates both an idea’s potential and an organization’s capacity to deliver it. It centers on three dimensions:

➊ Desirability: Does the idea address a meaningful user problem?

➋ Feasibility: Can the organization build the solution with its current capabilities and resources?

➌ Viability: Is the market opportunity strong enough to justify investment?

HOW TO ASSESS AN IDEA

Companies can evaluate an idea through six steps:

▲Define the problem: Identify the specific user pain point.

▲Identify the audience: Determine who experiences it most acutely.

▲Check demand: Analyze competitors and gaps in existing solutions.

▲Test assumptions: Use simple experiments or prototypes to gather feedback.

▲Measure willingness to pay: Assess whether users would invest in the solution.

▲Review resources: Confirm the organization has the skills, technology, and budget required.

Before moving forward, organizations should ask: Does the idea solve an urgent problem? Can we test it quickly? Would customers miss it if it disappeared? Do we have the capabilities to build it? Does the market justify further investment?

OPEN INNOVATION AND ECOSYSTEMS

Once an idea shows promise, OI can provide additional knowledge, technologies, partners, and resources. It can accelerate time‑to‑market and strengthen commercialization.

Innovation ecosystems amplify this by connecting companies, startups, researchers, investors, and other stakeholders. They enable knowledge sharing, resource access, rapid prototyping, and risk distribution.

Organizations can no longer focus solely on reducing environmental impact. Recent research argues that business models –...
09/04/2026

Organizations can no longer focus solely on reducing environmental impact. Recent research argues that business models – and the products and services they deliver – should actively contribute to planetary and societal wellbeing through regeneration. Yet the question of how companies can experiment with regenerative product and service offerings remains largely unexplored.
WHAT IS A PRODUCT ECOSYSTEM?

A product ecosystem integrates related products, services, or software that interact to enhance user experience and generate ongoing value. The Apple ecosystem is a clear example: iPhones, computers, Apple Watches, iPads, apps, and services share data and functionality, increasing the value of each component through their connections.

ECOSYSTEM STRUCTURES AND DESIGN PRINCIPLES

Organizations can structure ecosystems based on their preferred level of openness:

➊ Open/Modular: Products integrate with offerings from external companies.

➋ Compatible: Products work best within the company’s ecosystem but still connect with external tools.

➌ Closed: Products function exclusively within one brand, enabling tighter control and stronger customer loyalty.

To design effective ecosystems, companies should focus on user needs across multiple touchpoints, build scalable architectures, form strategic partnerships, and increase interactions among offerings.

Several principles highlight ecosystem dynamics:

▲Proposition 1: An ecosystem requires at least one product that differs from or depends on others to amplify influence.

▲Proposition 2: Perceived added value drops sharply once consumers own about three products.

▲Proposition 3: When tertiary products offer similar value, ecosystem influence depends more on purchase frequency than product quality.

▲Proposition 4: Increasing interactions among products is a safe strategy for network growth.

▲Proposition 5: Emerging ecosystems should establish strong regional presence before expanding globally.

Across industries, competitive advantage increasingly comes from integrated value propositions rather than superior standalone products.

Technical Program Managers (TPMs) guide hardware products from early concept through validation, new product introductio...
08/31/2026

Technical Program Managers (TPMs) guide hardware products from early concept through validation, new product introduction (NPI), and scalable manufacturing. They blend technical depth with program‑management discipline to coordinate complex engineering work and align cross‑functional teams with business goals.
To clarify the role, it’s helpful to distinguish TPMs from adjacent functions. Product Managers focus on customer needs, product features, and market strategy. Project Managers focus on timelines, budgets, and ex*****on constraints. TPMs bridge these areas by managing technical delivery, cross‑functional dependencies, and program ex*****on. Put simply:

▲The TPM owns the “when?” and “who?”

▲The Product Manager owns the “why?” and “what?”

▲Engineering Managers and engineering teams own the “how?”

At the core of the TPM role is lifecycle coordination. TPMs oversee requirements definition, prototyping, testing, validation, production readiness, NPI, and manufacturing ramp. They define scopes, assess resources, build timelines, and manage dependencies across all development phases.

Beyond ex*****on, TPMs contribute to three strategic areas:

➊ Strategy & Ex*****on: Planning, prioritization, coordination, and translating strategy into action.

➋ Design & Architecture: Supporting information architecture, organizational design, people processes, and technology. Senior TPMs may also contribute directly to engineering architecture.

➌ Culture: Strengthening the engineering organization through hiring, development, and reinforcing the engineering brand.

TPMs provide the cross‑functional coordination required to move hardware products from concept to scalable manufacturing. By connecting engineering, business, and operations, they help organizations manage technical complexity, dependencies, risks, and decisions across the product lifecycle.

Ultimately, TPMs do far more than coordinate projects – they maintain alignment, drive ex*****on, and help transform complex hardware programs into successful product outcomes.

*****on

Organizations often assume users will follow procedures perfectly - but real human behavior tells a different story. As ...
08/16/2026

Organizations often assume users will follow procedures perfectly - but real human behavior tells a different story. As the document notes, “We make mistakes, forget things, have limited attention spans…” and these natural limitations can create risk when systems aren’t designed with them in mind.
Human Factors stress testing demonstrates how systems perform under pressure, with distractions, noise, alarms, or time‑critical decisions. It reveals vulnerabilities that traditional testing misses and helps teams understand how errors actually emerge.

Human error isn’t simply a personal failure - it’s a systemic signal. Fatigue, stress, time pressure, and complacency affect even highly experienced professionals. Research cited in the document shows that 75–96% of accidents involve human‑factor risks, underscoring how much performance depends on conditions rather than just competence.

A strong Human Factors approach looks beyond individuals. It improves equipment design, procedures, communication, staffing, training, leadership, and organizational culture. It also addresses the intention–behavior gap, recognizing that what users say and what they actually do can be very different - especially under real‑world constraints.

Bottom line: When organizations design for real human behavior rather than idealized behavior, they reduce risk, improve performance, and create safer, more intuitive systems that support both users and business outcomes.

When we talk about geopolitical risk, we usually focus on wars, sanctions, tariffs, or financial‑market volatility. But ...
08/10/2026

When we talk about geopolitical risk, we usually focus on wars, sanctions, tariffs, or financial‑market volatility. But another question matters just as much:
What happens to the next product your team is developing?

Geopolitical risk now shapes almost every stage of New Product Development (NPD). It influences how teams source components, access technology, manufacture products, enter markets, schedule launches, and achieve profitability.

Consider how geopolitical conditions force companies to evaluate core NPD decisions:

▲ Supply – You depend on critical components that may come from a single country or supplier.

▲ Market – Sanctions, tariffs, or political instability can block market entry or weaken demand.

▲ Technology – Export controls can restrict access to essential technologies, IP, or suppliers.

▲ Operations – You may need to reconfigure manufacturing or logistics quickly.

▲ Finance – Currency swings or tariffs can turn a profitable product into an unprofitable one.

▲ Timeline – A sudden shortage of a critical component can disrupt your launch schedule.

Geopolitical uncertainty also reshapes consumer demand. When instability rises, consumers often become more price‑sensitive, delay discretionary purchases, increase savings, and prioritize essential goods. In other words, geopolitical risk influences not only how companies develop products but also what customers decide to buy.

So, the traditional NPD question – “Can we build it?” – no longer goes far enough. Teams now need to ask:

“Can we build it, source it, launch it, and keep it profitable if the geopolitical environment shifts?”

Companies that prepare effectively for geopolitical disruption don’t win because they predict the next crisis. They win because they build flexibility into their development process. They diversify suppliers, create substitution options, identify alternative markets, and design resilience into every stage of NPD.

Geopolitical risk no longer sits only in the boardroom. It now sits inside the product development process.

Long‑life military, industrial, and infrastructure systems must remain reliable for decades – even as technologies, mark...
08/01/2026

Long‑life military, industrial, and infrastructure systems must remain reliable for decades – even as technologies, markets, and regulations evolve. That’s why Designing for Obsolescence is no longer optional. It’s becoming a core engineering strategy for organizations that need to maintain operational capability while controlling sustainment costs.

KEY TAKEAWAYS

➊ DMSMS is unavoidable: Components disappear from the market long before systems reach end‑of‑life.

➋ Proactive forecasting matters: Monitoring EOL notices, market trends, and technology evolution helps teams anticipate risks early.

➌ Modular architectures reduce long‑term costs: Independent functional modules allow targeted upgrades instead of full redesigns.

➍ Design Refresh Planning (DRP) supports long‑term sustainment: It helps determine the optimal timing for modernization.

➎ Economic tools like MOCA guide cost‑effective refresh decisions under uncertainty.



Sustainment‑dominated systems often cost more to support than they did to acquire. By integrating obsolescence considerations into early design decisions, organizations maintain system availability, reduce lifecycle costs, and ensure long‑term operational capability – even as technology continues to evolve.

Designing for Obsolescence isn’t just good engineering. It’s a strategic advantage.

Raw materials sit at the core of every manufacturing system – and today, they’re one of the biggest sources of uncertain...
07/26/2026

Raw materials sit at the core of every manufacturing system – and today, they’re one of the biggest sources of uncertainty.
Global supply networks have become broader, faster, and more complex. Companies source metals, chemicals, and critical minerals from multi‑tier ecosystems that stretch across continents. This creates incredible opportunities, but it also amplifies exposure to price volatility, geopolitical tension, logistics bottlenecks, and quality risks.
That’s why material qualification is no longer a technical formality. It has become a strategic capability.

A modern qualification process evaluates raw materials before they enter production – ensuring they meet technical, regulatory, and commercial requirements. But its impact goes far beyond compliance. When organizations qualify materials early, they strengthen supplier performance, reduce procurement uncertainty, and build resilience across both upstream and downstream operations.

And resilience matters more than ever.

Disruptions now hit upstream first: commodity price swings, political instability, transportation failures, resource scarcity. Without visibility into multi‑tier exposure, companies often react too late – facing higher costs, production delays, and avoidable operational stress.

A strategic material qualification framework changes that. It combines:

continuous market monitoring,
end‑to‑end supply chain transparency,
supplier diversification and capability assessment,
smart contracting and category strategies,
and, when appropriate, financial hedging.
Together, these elements help organizations anticipate disruptions instead of simply responding to them. They improve cost predictability, reinforce supply continuity, and create a measurable reduction in operational risk.

In volatile markets, resilience isn’t just a safeguard – it’s a competitive advantage.

Material qualification is one of the most effective ways companies can invest in Reducing Risk and protecting long‑term performance.

Over the past two decades, prototyping has quietly transformed from a technical checkpoint into a strategic engine for i...
07/18/2026

Over the past two decades, prototyping has quietly transformed from a technical checkpoint into a strategic engine for innovation. The shift became unmistakable when Greg Lynn’s Embryological House showed the world that physical prototypes aren’t just “models” - they’re cultural artifacts that reveal spatial, material, and experiential qualities no screen can replicate.
Today, every industry working at the intersection of software, hardware, and human experience faces the same reality: digital and physical prototyping must evolve together.

Digital tools - CAD, CAE, VR/AR, FEA, CFD - give teams the power to explore, simulate, and optimize rapidly. They reduce early‑stage risk, accelerate iteration, and make it possible to test dozens of alternatives before a single part is manufactured. But simulations still depend on assumptions, and some behaviors simply refuse to be fully modeled: friction, wear, deformation, tactile feedback, environmental interactions.

Physical prototypes step in where digital ones stop. They expose real‑world constraints, validate safety‑critical functions, and reveal the truths only hands‑on interaction can uncover — weight, balance, texture, ergonomics, assembly logic, and user acceptance. They also uncover manufacturing realities that no simulation predicts.

The strongest development strategies now rely on a cyclical feedback loop:

Virtual exploration → rapid iteration, early error detection, optimization
Physical validation → real‑world behavior, usability, safety, manufacturability
Integrated decision making → confident, cost‑effective product development
This hybrid approach reduces risk, shortens development cycles, and strengthens product quality - especially in fields where user expectations for seamless digital‑physical experiences continue to rise.

Prototyping isn’t a phase anymore. It’s a mindset. And the organizations that embrace both worlds will be the ones that innovate faster, deliver better, and build products people trust.

In 2026, hardware teams operate inside ecosystems far more complexthan the devices they build. Mechanical components, el...
07/15/2026

In 2026, hardware teams operate inside ecosystems far more complex
than the devices they build. Mechanical components, electronics,
embedded software, cloud infrastructure, suppliers, regulations,
service operations – every element interacts, and every decision
propagates across the entire product lifecycle.

That’s why systems thinking is no longer optional. It’s a strategic
mindset that helps teams see relationships instead of isolated parts,
anticipate unintended consequences, and design products that remain
resilient over time.

When we optimize only one component, we often sub‑optimize the whole.
But when we zoom out, understand feedback loops, identify leverage
points, and embrace emergence, we build hardware that is technically
coherent, environmentally responsible, and commercially viable.

Systems thinking doesn’t replace engineering discipline – it frames
the problem so engineering can deliver the right solution.

In a world shaped by IoT, AI analytics, sustainability pressures, and
global supply chains, systems thinking is how organizations move from
short‑term fixes to long‑term value.

Complexity isn’t the enemy – fragmentation is. Systems thinking is how
we stay ahead of both.

A flawless prototype doesn’t guarantee a smooth path to manufacturing.Many products that work perfectly in the lab begin...
06/27/2026

A flawless prototype doesn’t guarantee a smooth path to manufacturing.
Many products that work perfectly in the lab begin to “break” the
moment they enter pilot production. And that’s normal – because pilot
builds expose what prototypes can hide.

As teams shift from one‑off models to repeatable processes, they
uncover issues in design, materials, assembly, quality, and supply
chains. This is where engineering meets manufacturing reality.

What typically goes wrong?

• Design limitations surface. Features that were easy to hand‑assemble
become difficult or costly to reproduce at scale.
• Materials behave differently. Batch variation, deformation, and long
lead times appear only during real production.
• Assembly bottlenecks emerge. Manual steps that worked for prototypes
slow down operators and reduce yield.
• Quality variations increase. Small inconsistencies turn into
functional failures, cosmetic defects, or rework.
• Supply chains get stress‑tested. Shortages, unreliable lead times,
and supplier quality issues become visible.
• Documentation gaps slow production. What lived in engineers’ heads
must become clear, repeatable instructions.

Why this stage matters

Pilot production isn’t a hurdle – it’s a learning phase. It validates
processes, exposes risks, strengthens quality systems, and builds
confidence before scaling. Companies that embrace this stage reduce
redesign cycles, shorten time‑to‑market, and improve long‑term
reliability.

A prototype shows what could work. Pilot production shows what will
work – repeatedly, at scale, and with real‑world constraints.

Strong teams treat pilot builds as an investment, not an
inconvenience. That’s how promising prototypes become manufacturable,
reliable, and commercially viable products.

Address

9228 Linwood Avenue, Ste C
Shreveport, LA
71106

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Tuesday 10am - 7pm
Wednesday 10am - 7pm
Thursday 10am - 7pm
Friday 10am - 7pm
Saturday 9am - 9pm

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+13182000526

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