Aeva Strategy and Business Model

Executive Overview

Aeva is a U.S.-based lidar company focused on Frequency Modulated Continuous Wave (FMCW) sensing, which the company markets as 4D LiDAR because it measures instant velocity in addition to distance and reflectivity. Founded in 2017 by former Apple engineers Soroush Salehian and Mina Rezk and headquartered in Mountain View, California, Aeva operates in the automotive and industrial sensing markets. Its core thesis is that direct velocity measurement, long-range sensing, and a highly integrated silicon-photonics architecture can make lidar more useful and eventually more scalable for advanced driver-assistance systems, autonomous vehicles, and selected industrial applications.

Aeva is still early in commercialization. In FY2023, the latest full-year results referenced here, it reported revenue of $4.3 million, which indicates that the business was still driven primarily by development programs, sample shipments, and early commercial engagements rather than mature production volumes. Strategically, Aeva has been concentrating on applications where its technical differentiation matters most: automotive, especially commercial trucking and autonomy-related use cases, and selected industrial markets where performance can command attention before mass-market cost curves are fully established. The company serves customers and partners across North America, Europe, and Asia.

Aeva at a Glance

Logo
Common name	Aeva
Full legal name	Aeva Technologies, Inc.
Headquarters	Mountain View, California, United States
Ownership	Public company
Ticker	AEVA
Exchange	NASDAQ
Market Cap	$1.58B
Revenue (FY2024)	#N/A
Founding / major historical milestones	Founded in 2017; became a public company through its business combination with InterPrivate Acquisition Corp. in 2021.
Industry or industries	Lidar, automotive sensing, machine perception, industrial sensing
Key products or services	4D LiDAR sensors, perception software, development services, integration support
Geographic footprint	U.S.-headquartered with customers and partners across North America, Europe, and Asia
Business segments as officially reported	One operating and reportable segment (FY2023 Form 10-K)
Company website	https://www.aeva.com

1. What Is the Strategy of Aeva?

Aeva’s public materials through FY2023 and 2024 describe a company that is trying to commercialize a differentiated sensing architecture rather than simply become another lidar hardware vendor. Using the Playing to Win framework, the strategy is clearer when broken into the five core choices below.

1a. What is the winning aspiration of Aeva?

Aeva’s stated mission has centered on bringing perception to broad applications through its 4D LiDAR technology. In practical terms, “winning” appears to mean proving that FMCW lidar can become a production-grade sensing platform for automotive and selected industrial use cases where direct velocity data and long-range performance matter. Public disclosures have emphasized production awards, commercial launches, and platform adoption more than near-term revenue scale. Aeva has not been defined by a publicly disclosed long-range revenue target in the way some mature companies are; instead, the visible aspiration is to move from engineering-stage validation into durable series-production programs.
1b. Where does Aeva play?

Aeva is not trying to serve every sensing market equally. Based on company filings, presentations, and partnership announcements, it is focused primarily on automotive applications, especially advanced driver-assistance systems, autonomy, and commercial trucking, plus selected industrial markets where high-performance sensing can justify adoption. It sells to original equipment manufacturers, mobility developers, and industrial equipment players rather than to mass consumers. Geographically, it is global in ambition, but the most visible commercial activity has been tied to North America and Europe, with broader automotive relevance in Asia.
1c. How does Aeva plan to win?

Aeva’s intended advantage is technical differentiation. Its core claim is that FMCW-based 4D LiDAR can provide more useful data than conventional time-of-flight lidar by measuring velocity directly at the point level, potentially improving object discrimination and performance in challenging environments. The company also aims to win through a more integrated architecture based on silicon photonics and custom semiconductor design, which could lower size and cost over time. That means Aeva is not trying to be the lowest-cost sensor today; it is trying to become the most strategically valuable sensor in use cases where performance and system-level capability matter enough to earn a place in the bill of materials.
1d. What capabilities must Aeva have in place?

To make that strategy work, Aeva needs strength in integrated photonics, custom semiconductor and optics design, signal processing, perception software, automotive-grade validation, and program execution with demanding OEM customers. It also needs the supply-chain and manufacturing discipline to move from prototypes to reliable volume production without building a capital-intensive factory base. Finally, because sales cycles are long and revenue is still modest, Aeva needs strong capital planning and customer-prioritization discipline.
1e. What management systems does Aeva require?

Aeva needs management systems built around milestone-based product development, customer program governance, automotive quality processes, and tight cash management. For a company at this stage, the key control systems are less about quarterly optimization and more about choosing the right programs, meeting technical and validation gates, controlling burn, and aligning R&D with commercial probability. Its one-segment reporting structure also means internal management discipline is especially important, because public segment reporting does not provide a separate external scorecard for automotive versus industrial efforts.

2. What Are the Current Strategic Initiatives of Aeva?

Based on Aeva’s FY2023 filings and 2024 company communications, the company’s strategic initiatives appear to center on commercialization discipline rather than broad diversification.

Convert automotive programs into production revenue.Aeva has emphasized turning automotive engagements into series-production business, especially where long-range sensing and velocity measurement are important. Commercial trucking and autonomy-related applications have been especially visible in public announcements, including work tied to Daimler Truck and Torc Robotics.
Expand industrial commercialization as a nearer-term bridge.Aeva has also worked to commercialize its technology in industrial markets, where adoption cycles can be shorter than mainstream passenger-car platforms. Its collaboration with SICK is strategically important because it gives Aeva access to an established industrial channel and a partner with domain credibility in factory and sensing environments.
Advance its next-generation hardware platform.The company has been investing in newer automotive-grade sensor platforms, including Aeries II, with the goal of improving performance, manufacturability, and cost structure. This matters because technical differentiation alone is not enough; OEM adoption depends on reliability, size, integration, and eventual unit economics.
Build out the software and perception layer.Aeva’s public positioning is not limited to a raw sensor module. It has increasingly framed its offering around a fuller perception stack, which can improve customer integration and create more strategic value than hardware alone.
Operate with tighter capital discipline.Like much of the lidar sector, Aeva has had to balance long development cycles against limited current revenue. Management’s public emphasis on prioritization, partnership-led scaling, and an asset-light operating model suggests that preserving runway and focusing spending on the highest-probability programs is itself a core strategic initiative.

3. What Is the Business Model of Aeva?

Aeva’s business model is best understood as a transition story. Today, the company is still largely in a development-led phase; over time, the intended model is a repeatable production-supply business supported by software and multi-year OEM programs.

What customers buy: customers buy sensor hardware, evaluation units, engineering support, integration support, and increasingly software or perception capabilities around the sensor. In automotive, the most important commercial event is not a one-time purchase order but winning a design slot on a vehicle platform or autonomy stack.

Recurring versus one-time revenue: based on public filings through FY2023, a large share of Aeva’s revenue appears to be milestone-based, development-related, or low-volume in nature rather than recurring at scale. If Aeva succeeds, the future revenue mix should become more repeat-driven because vehicle and industrial programs can generate multi-year production shipments.

Pricing power: Aeva’s potential pricing power comes from differentiation, not brand. If its FMCW architecture delivers better performance or a more useful signal set in safety-critical applications, it may support premium pricing. But in the current market, pricing power is constrained by an immature category, intense competition, and the fact that customers often evaluate several competing sensing architectures at once.

Why the business mix matters: automotive production programs offer the largest long-run volume but involve long validation cycles and delayed revenue recognition. Industrial markets can offer earlier commercialization, lower volumes, and potentially better near-term learning. The mix matters because it affects cash burn, margin timing, and investor expectations.

What drives margins and cash generation: for Aeva, gross margin is likely to depend heavily on volume, yield, outsourced manufacturing economics, semiconductor and optics input costs, and software attach. Operating margin is currently dominated by R&D and commercialization expense. Cash generation will improve only if the company converts technical wins into scaled shipments without allowing manufacturing complexity to erode unit economics.

Revenue model: this is not a subscription model. It is a combination of development revenue, product revenue, and potentially software-related revenue, with the long-term model resembling an automotive and industrial component supplier with higher-value software content.

4. What Products and/or Services Does Aeva Sell?

Aeva sells sensing products and related capabilities built around its 4D LiDAR platform.

Automotive 4D LiDAR sensors.The company’s Aeries family, including Aeries II in more recent public materials, is aimed at automotive use cases. These products are strategically important because automotive production programs are central to Aeva’s long-term thesis.
High-performance sensing platforms for non-automotive use cases.Aeva has also marketed higher-performance sensor products such as Atlas for industrial and other advanced sensing environments. These offerings matter because they can support commercialization before automotive volumes arrive.
Perception software and system-level capabilities.Aeva does not position itself only as a component maker. Its perception stack, signal processing, and software integration are important parts of the value proposition, especially for customers that want a more usable sensing output rather than raw point-cloud data alone.
Development, validation, and integration support.At Aeva’s current stage, engineering services and program support remain commercially meaningful. Customers often need help integrating the sensor into vehicle or machine architectures, validating performance, and adapting software workflows.

Today, development-stage activities and low-volume product shipments likely matter more to reported revenue than mature production hardware. Strategically, however, automotive-grade production sensors are the most important offerings because they determine whether Aeva can become a scaled supplier rather than remain an R&D-heavy platform company.

5. What Are the Key Competitors or Peers of Aeva?

Aeva competes in a crowded sensing landscape. Its direct merchant competitors are other lidar vendors, but at the architecture level it also competes against non-lidar approaches that OEMs may choose instead.

Luminar Technologies: a prominent automotive lidar company focused on long-range sensing and passenger-vehicle OEM programs.
Innoviz Technologies: an automotive lidar and software company with a strong focus on design wins and automotive qualification.
Hesai Group: a large Chinese lidar supplier with exposure to automotive and robotics markets and meaningful scale relative to many Western peers.
RoboSense: another major Chinese lidar company active in automotive and robotics, with relevance in both OEM and broader sensing markets.
Ouster: more heavily associated with industrial, robotics, and smart-infrastructure lidar, making it a closer peer in non-automotive applications.
Cepton: an automotive lidar company whose relevance comes from similar OEM design-in dynamics and long-cycle commercialization challenges.
MicroVision: a lidar and perception company pursuing automotive opportunities and therefore a comparable public-market peer.
Valeo: a traditional automotive supplier whose SCALA lidar gives it credibility with OEM buyers that prefer established Tier 1 partners.
Continental: a global automotive supplier with sensing capabilities and strong OEM relationships, making it an important competitive benchmark even where product overlap is partial.
Camera-radar stacks from suppliers such as Mobileye and major ADAS system vendors: these are substitutes rather than direct lidar peers, but they matter because some OEMs may decide not to adopt lidar at all.

Aeva’s competitive position is strongest where its FMCW architecture solves a problem customers care about enough to change architecture decisions. If that differentiation is not decisive, larger or cheaper alternatives may win.

6. What Is the Marketing Strategy of Aeva?

Aeva’s marketing strategy is primarily technical and account-based rather than broad brand advertising. This is typical for a company selling into automotive and industrial OEM environments where the buyer cares more about performance data, qualification evidence, integration ease, and roadmap credibility than about consumer brand awareness.

In practice, Aeva’s marketing appears to rely on several levers:

Technical proof and demonstrations: showing the distinctiveness of FMCW sensing, especially direct velocity measurement and long-range performance.
Reference credibility: public partnerships and customer announcements help validate the platform in a sector where buyers want evidence that another serious OEM has already done the diligence.
Thought leadership: investor presentations, product launches, conference appearances, and industry press are used to educate the market on why Aeva’s architecture differs from time-of-flight lidar.
Partner-led market access: in industrial markets, partnerships can act as both channel and credibility engine, reducing the need for a large standalone field-marketing apparatus.

Marketing is therefore a supporting capability, not the main moat. The real commercial battle is won in engineering evaluations, program reviews, and customer qualification cycles.

7. What Are the Key Customer Segments of Aeva?

Aeva’s customer base is enterprise and OEM oriented, not consumer oriented. The most important customer segments are:

Automotive OEMs.Passenger-vehicle and commercial-vehicle manufacturers are strategically critical because production adoption here can create long-duration shipment streams.
Autonomous driving developers.Companies building autonomy stacks, especially in trucking and advanced vehicle platforms, matter because they value performance characteristics that can justify lidar adoption.
Tier 1 automotive suppliers and system integrators.In many vehicle programs, the immediate commercial interface is not only the OEM but also the supplier ecosystem that helps integrate sensors into the vehicle platform.
Industrial automation and machine-vision customers.This segment includes equipment makers and industrial sensing partners that may adopt high-performance lidar for automation, monitoring, or advanced detection tasks.
Selected adjacent sensing users.Depending on program timing, Aeva can also be relevant in infrastructure, transportation, or other specialized sensing applications, though these appear secondary to automotive and industrial as of the latest public materials reviewed.

Aeva appears more concentrated than diversified at this stage. That is normal for an early-stage deep-tech supplier, but it also means that a small number of customer programs can disproportionately affect revenue timing and investor perception.

8. What Is the Sales Model of Aeva?

Aeva’s sales model is a long-cycle enterprise sales process built around technical qualification, co-development, and eventual platform awards.

Direct selling to strategic accounts: in automotive, the sales motion is highly consultative and direct. Aeva must engage engineering teams, procurement, program management, and safety stakeholders over a multi-year cycle.

Design-win economics: the key milestone is not a one-time sale; it is winning a place in a production program. That means sales productivity is measured less by quarter-to-quarter volume and more by pipeline quality, awarded programs, and progress toward start of production.

Partner-enabled routes to market: for industrial applications, Aeva can use partners such as SICK to gain reach, application expertise, and channel efficiency. This is an important difference from automotive, where direct account control matters more.

Samples and development revenue: early in the relationship, Aeva may sell evaluation units, prototypes, or engineering support. Those revenues can help validate demand, but they are not the same as scaled product-market fit.

The channel structure affects pricing and growth meaningfully. Direct automotive selling creates deeper customer intimacy but also higher selling cost and longer cash-conversion cycles. Partner-led industrial channels can accelerate adoption but may reduce direct control over account economics.

9. In What Geographies Does Aeva Operate?

Aeva is headquartered in Mountain View, California and operates globally through customer relationships, engineering support, and partner networks rather than through a large owned manufacturing footprint. Public announcements and commercial relationships indicate meaningful activity in North America and Europe, with broader relevance in Asia because automotive sourcing decisions are global.

From a customer standpoint, Aeva serves:

North America, where its headquarters and much of its corporate and engineering activity are centered.
Europe, which is strategically important because of automotive and industrial customers, especially in German-speaking industrial and vehicle ecosystems.
Asia, where the automotive industry, electronics supply base, and lidar competition are significant, even if Aeva’s publicly disclosed activity has been less visible than in the U.S. and Europe.

Aeva does not appear to operate as a plant-heavy regional manufacturer. Its geographic model is closer to a globally commercial, engineering-led company that relies on external manufacturing partners and therefore can serve multiple regions without owning a broad network of factories.

10. Who Are the Owners of Aeva?

Aeva is a publicly traded company under ticker AEVA. Based on public ownership disclosures in 2024, co-founders Soroush Salehian and Mina Rezk were among the notable beneficial owners, alongside institutional investors and venture/public-market shareholders. Public materials did not indicate a government owner or a separate industrial parent with majority control.

11. How Is Aeva Organized?

As of its FY2023 Form 10-K, Aeva reported one operating and reportable segment. That is important because it means the company does not publicly break out automotive versus industrial economics in the way a larger diversified supplier might.

Practically, the organization appears to be structured around:

Core technology and R&D, including silicon photonics, optics, hardware, software, and perception.
Commercial and program teams, focused on strategic automotive and industrial accounts.
Operations and supply-chain coordination, which matter because Aeva relies on external manufacturing rather than a vertically integrated factory base.
Corporate functions, including finance, legal, investor relations, and administration typical of a public technology company.

So the legal reporting structure is simple, but the practical management challenge is not. Aeva still has to balance different commercialization paths, customer timelines, and technical requirements inside a single reported segment.

12. How Does Aeva Operate?

On a day-to-day basis, Aeva operates like a deep-technology platform company moving toward automotive and industrial productization.

Design and engineer the core platform. Aeva develops the photonics, electronics, software, and system architecture that define its lidar performance.
Work with external manufacturing partners. Rather than owning high-volume factories, Aeva coordinates specialized suppliers and contract manufacturing resources for components, assembly, and test.
Build and validate samples. It produces development units and customer samples for testing, qualification, and design-in activity.
Support customer integration. Automotive and industrial customers need engineering support, data workflows, and system-level tuning before a program can move toward production.
Industrialize the platform. For awarded programs, Aeva must improve reliability, manage cost-down, and establish production readiness.

The main operational bottlenecks are typical for this sector: long customer validation cycles, automotive quality requirements, manufacturing yield and cost reduction, and the challenge of funding engineering work long before full production revenue arrives.

13. What Are the Growth Opportunities for Aeva?

Aeva’s most plausible growth opportunities are tied to a small number of strategically important paths.

Commercial trucking and autonomy.This may be one of Aeva’s clearest opportunities because long-range sensing and velocity data can be particularly valuable in heavy-vehicle and highway environments.
Passenger-vehicle ADAS wins.If Aeva can convert evaluations into passenger-car platform awards, the long-term revenue opportunity becomes much larger. The constraint is that these programs are slow, competitive, and cost-sensitive.
Industrial automation and machine perception.Industrial markets can provide a more practical commercialization bridge. They may not match automotive unit volumes, but they can support earlier revenue, faster learning cycles, and application-specific value capture.
Software and perception monetization.Aeva can potentially increase value per deployment if customers adopt not just the sensor but also higher-level perception capabilities.
Platform cost reduction.Lowering cost through integration, supply-chain optimization, and yield improvement is itself a growth enabler because it expands the addressable set of programs.
Partnership-led expansion.Using strong channel or ecosystem partners in industrial markets can help Aeva reach customers that would be expensive to cover directly.

The main constraints are also clear: slower-than-expected lidar adoption, customer concentration, heavy competition, the need to prove automotive-grade reliability, and the financial reality that Aeva must fund development long enough to reach meaningful production volume.

14. What Is the History of Aeva?

Aeva was founded in 2017 by Soroush Salehian and Mina Rezk, both former Apple engineers. From the start, the company focused on FMCW-based lidar rather than the more common time-of-flight approach used by many peers. That early architectural choice has shaped nearly every part of Aeva’s identity, from product design to investor messaging.

A major milestone came in 2021, when Aeva became a public company through its business combination with InterPrivate Acquisition Corp. That transaction placed Aeva among the high-profile wave of lidar companies that entered public markets through special purpose acquisition company structures.

Since going public, Aeva’s history has been defined less by large acquisitions and more by the difficult commercialization arc common across the lidar industry: proving technical differentiation, winning strategic partnerships, prioritizing end markets, and managing capital carefully as the sector moved from exuberant valuations toward tougher customer and investor scrutiny. More recent company history has highlighted automotive programs, especially in trucking and autonomy-oriented use cases, and industrial collaborations intended to create nearer-term commercial traction.

15. What Are the Key Suppliers to Aeva?

Suppliers matter to Aeva because its products depend on specialized photonics, semiconductor, optics, and assembly capabilities. The company does not appear to publicly disclose a short list of named dominant suppliers in the way some mature manufacturers do, but the supplier categories are strategically important.

Semiconductor fabrication and packaging partners: needed for custom chips, integrated photonics, and related packaging.
Optics and laser-related component suppliers: important for performance, consistency, and automotive-grade reliability.
Electronic component suppliers: for boards, controllers, and other system electronics.
Contract manufacturers and test partners: needed for module assembly, calibration, and scaling without owning factories.
Quality and certification ecosystem partners: important in automotive where traceability and validation are part of the commercial process.

Supplier structure matters strategically because Aeva is trying to industrialize advanced technology without vertical integration. That creates both flexibility and dependency: the model can be capital-light, but supply continuity, yield, and quality become mission-critical.

16. How Does the Supply Chain of Aeva Function?

Aeva’s supply chain appears to function as a fabless, outsourced manufacturing model. The company designs the core technology and orchestrates the ecosystem, while external partners handle much of the fabrication, assembly, and test work.

Design and sourcing: Aeva specifies the photonics, semiconductor, optical, and electronic inputs needed for its sensors.
Fabrication and component production: external specialized suppliers produce wafers, components, and subassemblies.
Assembly and calibration: contract manufacturing and test partners assemble sensor modules and perform calibration and quality checks.
Validation and qualification: automotive-grade products require extensive reliability testing, traceability, and customer-specific approval processes.
Delivery and support: Aeva supplies evaluation units, development hardware, and eventually production units while supporting integration at the customer level.

Supply-chain reliability matters because early-stage sensing companies often fail not on concept quality but on manufacturability. For Aeva, the strategic challenge is to keep the model capital-light while still reaching automotive-level consistency, cost targets, and launch readiness.

17. What Is the Technology Strategy of Aeva?

Technology is the center of Aeva’s strategy. The company is not merely using technology to run the business better; the technology itself is the product, the differentiation, and much of the reason customers would choose Aeva at all.

The core technology strategy has three elements:

FMCW architecture as the differentiator. Aeva’s central bet is that direct velocity measurement and a richer sensing output can produce better real-world performance than conventional alternatives in important use cases.
Silicon-photonics integration for scalability. Aeva has emphasized a lidar-on-chip style architecture designed to reduce size, complexity, and eventually cost. This is crucial because even strong performance is not enough if the technology cannot be packaged into manufacturable automotive-grade products.
Software and perception on top of hardware. Aeva’s value proposition increasingly includes not just raw sensing but also perception-layer functionality that can simplify downstream integration for customers.

This strategy makes technology both an external offering and an internal enabler. Internally, Aeva needs strong engineering execution to keep improving performance and manufacturability. Externally, it needs the technology story to be compelling enough that OEMs accept a platform change rather than defaulting to better-known alternatives.

18. What Is the R&D Strategy of Aeva?

R&D is a defining feature of Aeva’s model. Based on its public financial profile through FY2023, the company is still heavily research-and-engineering driven, which is typical for a deep-tech company that has not yet reached scaled production.

Aeva’s R&D strategy appears to focus on:

Improving sensor performance: range, resolution, velocity sensing, and robustness in real-world environments.
Driving automotive qualification: turning promising prototypes into products that meet reliability, safety, and validation standards.
Reducing cost and increasing integration: essential for moving from niche deployments to broader production programs.
Advancing software and perception capabilities: to make the sensing output more useful to customers and improve solution stickiness.
Tailoring platforms by end market: balancing automotive requirements against industrial use cases with different performance and commercialization needs.

The important point is that Aeva’s R&D is not exploratory in the abstract. It is increasingly tied to commercialization milestones: reliability, manufacturability, customer integration, and platform economics.

19. What Is the Finance Strategy of Aeva?

Aeva’s finance strategy is shaped by one basic reality: the company is funding a long commercialization cycle from a still-small revenue base. That makes liquidity management and capital efficiency central strategic issues, not back-office concerns.

Its public posture suggests several finance priorities:

Preserve cash runway. The company has had to manage spending carefully while waiting for production programs to mature.
Keep the operating model asset-light. By relying on external manufacturing partners, Aeva avoids the balance-sheet burden of building large factories before demand is proven.
Prioritize R&D and industrialization over broad expansion. Capital is most valuable when directed toward programs with the highest probability of commercial conversion.
Use development revenue and partnerships pragmatically. Even if such revenue is not highly recurring, it can help validate programs and offset part of the commercialization cost.

In short, Aeva’s finance strategy supports its broader corporate strategy by trying to buy enough time and flexibility for the technology to reach scaled commercial adoption. Until production volumes rise materially, the company is more likely to be judged on discipline, runway, and progress toward conversion than on traditional earnings metrics.

20. What Major Acquisitions Has Aeva Made?

Acquisitions do not appear to have been a defining part of Aeva’s strategy through the latest public materials referenced here. Aeva has been much more partnership-led and organic-development-led than acquisition-led.

The most important corporate transaction in its public history was the 2021 business combination with InterPrivate Acquisition Corp., which took Aeva public. That was not an operating acquisition in the classic sense of buying a competitor to add revenue; it was the transaction that created Aeva’s public-company structure.

For readers specifically looking at acquisitions, the key takeaway is that Aeva’s strategic development has come primarily through internal technology development, customer programs, and partnerships rather than through a major roll-up strategy.

21. How Companies Like Aeva Leverage Independent Consultants through Umbrex

Umbrex has grown a global community of over 8,000 independent management consultants based in more than 50 countries. These consultants are alumni of McKinsey, Bain, BCG, and other top consulting firms. Companies like Aeva engage Umbrex when they need talent with that training but do not need a full consulting team with the associated overhead. Umbrex consultants span Strategy, Operations, Organization, Marketing, Sales, Finance, Technology, ERP, and AI. For a company like Aeva, the highest-value use cases are usually targeted, analytical, and tied to a specific commercialization milestone.

Automotive where-to-play and prioritization study: assess the most attractive mix of passenger car, trucking, autonomy, and industrial opportunities based on technical fit, program timing, and economic potential.
Design-win conversion PMO: build a cross-functional program office to track technical milestones, customer commitments, validation gates, and launch-readiness risks for major OEM programs.
Sensor cost-reduction and should-cost program: identify opportunities across silicon photonics, optics, electronics, and contract manufacturing to improve future gross-margin potential.
Industrial channel strategy: refine the go-to-market model for industrial markets, including partner roles, account coverage, pricing logic, and vertical prioritization.
Pricing and packaging strategy: design a clear commercial model for hardware, software, NRE, validation support, and production supply agreements.
Supply-chain resilience and outsourcing review: evaluate supplier concentration, make-versus-buy choices, contract manufacturer selection, and automotive-quality readiness.
Technology commercialization roadmap: translate product and R&D priorities into a staged commercialization plan tied to customer value, cost-down, and manufacturability.
Competitive intelligence and market architecture assessment: benchmark Aeva against lidar peers and substitute sensing stacks to sharpen positioning at OEM accounts.
Cash runway and operating-model scenario planning: help management evaluate spending choices, program prioritization, and resource allocation under multiple commercialization scenarios.
Partnership and ecosystem strategy: identify where Aeva should partner rather than build internally, especially in industrial distribution, software integration, and regional account access.