Lincode's 14-slide pitch deck presents a compelling case for their LIVIS platform, a no-code AI solution for visual inspection in manufacturing. Founded in 2017, the company has achieved significant traction, with over 150 solutions deployed across 14 countries and a client list that includes industry giants like Schneider Electric, Boeing, and Maruti Suzuki. The deck effectively communicates the problem—86% of senior executives identify quality inspection as their top challenge—and positions LIVIS as a cost-effective, easy-to-deploy solution that reduces false calls and cycle times. While th…
Key takeaways
- 86% of senior executives agree that quality inspection is their number one challenge (Slide 2).
- Lincode was founded on September 14, 2017, and has deployed 150+ solutions across 14 countries (Slide 3).
- The LIVIS platform is a proprietary no-code solution that allows manufacturers to create their own visual inspection systems (Slide 4).
- LIVIS integrates with various factory equipment, including robots from manufacturers like Siemens, Mitsubishi, and Delta (Slide 7).
- The solution claims to provide an average overall savings of ~$2M per factory (Slide 8).
- Lincode's AI requires only 10 to 15 images per defect, compared to the industry standard of 1,000 to 5,000 (Slide 9).
- The company serves major clients including Schneider Electric, Boeing, and TVS, with an average ticket size of $20K+ (Slide 12).
- The leadership team includes a CEO with three previous exits and a CTO with 8+ years in senior technology roles (Slide 13).
Lincode Pitch Deck Teardown
Lincode's pitch deck, dated January 31, 2022, presents a focused look at their LIVIS platform, a no-code AI solution for industrial visual inspection. The deck is structured to move from the broad industry problem to Lincode's specific solution, technical architecture, and proven market traction. With a clear emphasis on ease of use and rapid deployment, the presentation targets manufacturers looking to modernize their quality control processes without the overhead of custom software development.
Slide 1: Title Slide
The title slide is minimalist, featuring the company name 'LINCODE' in a bold, two-tone font. The tagline 'Advancing AI for the autonomous factory' immediately establishes the company's sector and long-term vision. The inclusion of the date (31 Jan 2022) and website (lincode.com) provides necessary context and a point of reference for the deck's age.
Slide 2: The Problem
Slide 2 uses a large, high-contrast graphic to highlight a critical pain point. It states that 86% of senior executives agree their number one challenge is quality inspection. The background image of a factory worker manually inspecting bottles on a conveyor belt reinforces the idea that current methods are often labor-intensive and prone to human error. This slide effectively sets the stage by quantifying the demand for a better solution.
Slide 3: About Lincode
This slide provides a high-level overview of the company. Founded on September 14, 2017, Lincode's mission is to help manufacturers automate visual inspection and improve Overall Equipment Effectiveness (OEE) using AI and deep learning. Key metrics are presented prominently: 150+ solutions deployed across 14 countries. It also lists the target industries: Automotive, Electronics, Aerospace, and Textile. The slide summarizes the value proposition as lowering TCO and labor costs while increasing production.
Slide 4: About Product (LIVIS)
Slide 4 introduces LIVIS, Lincode's proprietary no-code deep tech platform. The core message is empowerment: 'Enabling manufacturers to create their own visual inspection systems at ease.' By emphasizing the 'no-code' aspect and a 'simple user interface,' Lincode addresses a common barrier to AI adoption in manufacturing—the need for specialized data science or programming talent. The slide claims this leads to reduced deployment costs and quicker turnaround times.
Slide 5: System Architecture - Future Ready
This slide uses a technical diagram to illustrate how LIVIS fits into a factory environment. It shows multiple production lines (Line 1, Line 2, Line n) each equipped with a LIVIS camera and operating terminal, all connected to a central server. The diagram also indicates that the system can be accessed via mobile devices, tablets, and even drones, supporting the 'future ready' claim. This visual helps potential clients understand the scalability and integration capabilities of the platform.
Slide 6: LIVIS Suite Dashboard
Slide 6 provides a look at the LIVIS user interface across different devices (laptop, tablet, smartphone). The dashboard shows real-time feeds, defect statistics (e.g., breakage width, flange distance), and status indicators (e.g., 'REJECTED'). The slide also mentions a 'future marketplace for annotation tools, data analytics, and AR/VR companies,' suggesting an ambition to build a broader ecosystem around their core inspection technology.
Slide 7: Total Integration
This slide details the platform's ability to integrate with existing factory hardware. It shows the flow from the robot to the controller/PLC (Programmable Logic Controller) and finally to the PC running LIVIS. It lists supported robot types (Articulated, SCARA, Delta, Gantry) and PLC brands (Siemens, Mitsubishi, Delta). Crucially, it notes that LIVIS doesn't just interface with robots but can 'directly control the robot as a Teach Pendant,' highlighting a deep level of technical integration.
Slide 8: Impact with Our Solution
Slide 8 uses bar charts to compare Lincode's performance against 'Others.' It claims significant improvements in three areas: False calls PPM (parts per million), Cycle Time, and Employee Efficiency. While the charts lack specific units on the Y-axis for the first two metrics, the visual contrast is stark. The slide concludes with a bold claim of 'Overall Savings AVG ~$2M/Factory,' providing a clear financial incentive for adoption.
Slide 9: Competitive Advantages
This slide lists Lincode's technical and operational advantages. A standout point is the requirement for only 10 to 15 images per defect, compared to the industry standard of 1,000 to 5,000. Other advantages include being hardware agnostic (using inexpensive cameras), a 'go live' time of less than one month, and 'True AI Augmentation' that improves resolution and lighting to reduce false positives. These points directly address common frustrations with traditional machine vision systems.
Slide 10: Automotive Industry Sections
Slide 10 provides specific examples of how LIVIS is used in the automotive sector. It breaks down applications into four categories: Structure (chassis), Harness (wiring), Engine (components), and Aesthetics (exterior parts like hoods, bumpers, and mirrors). The use of detailed diagrams makes the application clear and relatable for automotive manufacturers.
Slide 11: Electronics Industry Sections
Similar to the previous slide, Slide 11 focuses on the electronics industry. It highlights four key areas: PCBA (Printed Circuit Board Assembly), Connectors, Components, and Circuit Breakers. The images of complex circuit boards and small electronic parts demonstrate the system's ability to handle high-precision inspection tasks.
Slide 12: Our Clients
This is a high-impact traction slide. It features logos of major global companies, including Schneider Electric, Boeing, Maruti Suzuki, TVS, and TE Connectivity. The sidebar reinforces this traction with three key figures: 50+ Clients, 150+ Workstations, and a $20K+ Average ticket size. This slide serves as strong social proof, demonstrating that Lincode's technology is already trusted by industry leaders.
Slide 13: Our Team
The team slide introduces the leadership and advisors. CEO Rajesh Iyengar is noted for having three previous exits in manufacturing technology companies, while CTO Ritika Nigam has over 8 years in senior technology roles. The advisors include a professor from UC/Harvard and senior directors from Qualcomm and Synopsys, providing a mix of academic and deep industry expertise. This slide builds credibility by showing a team with relevant experience and a strong support network.
Slide 14: Contact Information
The final slide provides contact details for Lincode's headquarters in both Sunnyvale, California, and Bengaluru, India. This highlights the company's international presence and provides clear next steps for interested parties. The inclusion of phone numbers, an email address, and the website ensures easy accessibility.
What Works Well
Clear Value Proposition: The deck consistently ties technical features back to business outcomes like cost savings, reduced labor, and increased production. · Strong Traction: The list of high-profile clients and the number of deployed solutions provide significant credibility. · Focus on Ease of Use: By emphasizing the 'no-code' nature of the platform, Lincode addresses a major pain point for manufacturers who lack specialized AI talent. · Technical Specificity: The slides on system architecture and PLC integration demonstrate that the solution is built for real-world factory environments.
What Is Missing
Financial Projections: The deck lacks any forward-looking financial data or revenue targets, which are standard in most investment-focused decks. · The Ask: There is no mention of how much funding the company is seeking or how they plan to use the capital. · Market Size: While the problem is well-defined, the deck doesn't quantify the Total Addressable Market (TAM) for their solution. · Competitive Landscape: The deck compares Lincode to generic 'Others' but doesn't name or analyze specific competitors in the AI visual inspection space. · Unit Economics: Beyond the average ticket size, there is no information on customer acquisition costs (CAC) or lifetime value (LTV).
What a Founder Should Copy
Industry-Specific Examples: Slides 10 and 11 are excellent examples of how to show, rather than just tell, how a product applies to specific target markets. · Quantified Problem: Starting with a strong, cited statistic (Slide 2) immediately validates the need for the product. · Visualizing Architecture: The system architecture diagram (Slide 5) is a clear way to explain a complex technical setup to a non-technical audience. · Social Proof: The prominent display of well-known client logos (Slide 12) is one of the most effective ways to build trust quickly.
Frequently asked questions
- What is Lincode's core product and how does it work?
- Lincode's core product is LIVIS, a proprietary no-code AI platform designed for visual inspection in manufacturing. As detailed on Slide 4 and Slide 7, LIVIS allows manufacturers to build their own inspection systems without complex coding. It integrates directly with factory hardware, including cameras, conveyors, and various types of robots (Articulated, SCARA, Delta, Gantry) via standard industrial protocols like Modbus TCP and Ethernet/IP. The system uses deep learning to identify defects, requiring significantly fewer images for training than traditional methods.
- What specific industries does Lincode target?
- According to Slide 3, Lincode primarily caters to the Automotive, Electronics, Aerospace, and Textile industries. The deck provides specific examples of applications within these sectors. For instance, Slide 10 illustrates automotive applications in structure, harness, engine, and aesthetics. Slide 11 focuses on the electronics industry, highlighting use cases for Printed Circuit Board Assemblies (PCBA), connectors, components, and circuit breakers.
- What are the primary benefits Lincode claims to offer manufacturers?
- Lincode highlights several key value propositions across the deck. Slide 3 mentions lower Total Cost of Ownership (TCO), reduced labor costs, fewer fines and penalties, and increased production. Slide 8 provides more specific metrics, claiming a dramatic reduction in 'False calls PPM' and 'Cycle Time' compared to competitors, along with improved employee efficiency. The slide concludes that these improvements lead to an average savings of approximately $2 million per factory.
- How does Lincode's AI technology differ from industry standards?
- Slide 9 outlines Lincode's competitive advantages in AI. A major differentiator is that their models require only 10 to 15 images per defect for training, whereas the industry standard typically ranges from 1,000 to 5,000 images. Additionally, they claim their systems can 'go live' in less than one month and are hardware agnostic, utilizing inexpensive off-the-shelf cameras. Their 'True AI Augmentation' also includes features to improve image resolution and visibility during daylight to prevent false positives.
- What is Lincode's current market traction and who are their notable clients?
- As of the deck's publication in early 2022, Lincode reported significant traction. Slide 3 states they have deployed over 150 solutions across 14 countries. Slide 12 lists several high-profile clients, including Schneider Electric, Boeing, Maruti Suzuki, TVS, and TE Connectivity. The company reports having over 50 clients in total, with more than 150 workstations deployed and an average ticket size exceeding $20,000.
