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Bridging the Gap between Social Enterprises and Social Impact Investors

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Recently, I got the opportunity to participate in Bangalore CSR Roundtable hosted by Brillio & Equal Innovation in partnership with India CSR on May 3rd 2017.

Some key points from this event I want to share with you all. Before that let me put some light on what is Social Entrepreneurs and Enterprises (SEE) and how this is related to this event.

Social Entrepreneurs and Enterprises (SEE)

It is an initiative of IITK AA, organised and now carried forward in association with IITKGP AA and supported by PAN IIT, IIMA, PAN IIM and ACB.

SEE started as an event and the first SEE focused primarily on awareness and scaling models for Successful Social enterprises. It had speakers and participants from all sectors. During the first edition of SEE one message came out very clearly that there is an increasing gap between social enterprises (not-for-profit or for-profit) and CSR funds/investors.

Second edition of SEE focused on Healthcare and Education. This edition also looked at setting up the framework so that Alumni from IIT’s can effectively engage and contribute to the critical sector.

It brought various social entrepreneurs, philanthropists, thinkers and enthusiasts under one roof. The event allowed great interactive sessions where on one hand the participants got inspired by conviction-led work by speakers and on the other hand various corporate discussed the challenges and their insights. Mr. Paritosh Segal, Co-Founder Sahyog Foundation, led the curation for the event.

After intensive research on challenges faced by social enterprises and impact investors, a framework was launched during the event by Mr. Pradeep Bhargava, President, IITK AA & IITK AA BLR.  Core objectives of the framework is to identify sectors that may be relevant and that may produce visible outcome, list the key impact areas and the key measures, understand and share the feasibility and impact data, build the stakeholders connect as part of SEE ecosystem which comprises financial institutions, CSR, Angel investors, VC’s, mentors, incubation with IIT and partners and entrepreneurs in the impact space.

We discussed on various aspects of CSR funding and pain-points of corporates as well as social enterprises. It was very enthralling for me to know that all these common problems faced by both entities can be resolved through SEE platform.

I would like to highlight a few key challenges and would like to emphasise on the role of SEE framework in resolving these issues:

Lack of trust between corporates and social enterprise world:

It was evident that corporates are willing to release CSR funds for social enterprises, but whom to trust for measurable impact has become a challenge for them. I strongly believe that SEE body can recognise and validate shortlisted social enterprises who genuinely have good model and thus help them sustain and scale. Corporates can have concurrence and decide where to invest.

Impact assessment of social enterprises by corporates:

Second evident challenge for all corporates is to measure the impact created by the social enterprise. One of the solution which was proposed is to have a set template by corporates where social enterprise can fill their outcomes. But the problem with such template is that there are several different enterprises all cannot be measured with the same template. SEE framework can play a crucial role in impact assessment by providing customised template.

Industry standard reporting by social enterprises:

Another point which was brought into discussion was reporting structure and the quality of report. Corporates feel that there is a need for social enterprises to improve on reporting but the fact that social enterprises many a times are not trained to publish their reports in a professional way. It becomes really challenging for corporates to go through the document and validate the report. We at SEE aim to create a pool of identified experts in different domains with social sector background as mentors. These mentors shall bring guidance to social enterprises and shall organize hands-on training sessions on impact measurement, impact assessment and impact reporting. This shall have positive outcome by reducing frustrations for both corporates and social enterprises.

Identifying the key focus area of corporates by social enterprises:

One of the biggest challenge which almost all social enterprises face invariably is to find out the corporates who have same focus area as their own. I recently faced a problem in identifying a CSR who invest in healthcare area. There is no common platform where corporates list their focus areas and social enterprises list their work.

Participation as SEE evangelist

SEE platform has planned to create a database on SEE website for all participants. This is going to ease the very first step of corporate and social enterprise to find the best match.

Social Enterprises

All these and many more benefits can be obtained by signing up for SEE Framework. SEE as a part of Alumni framework is not chargeable. Please register to be part of the SEE ecosystem and all benefits.

Investment community and CSR support from Corporates

They can leverage the curated social enterprises. Investors and CSR teams may share the success stories, the impact areas of their interest and the measures they use in identifying the right enterprise to support.

Accelerators, Incubators, and Mentors ( AIM)

AIM participants work together with the SEE team to ensure high probability of success for the individual enterprise but also contribute to ensure a higher percentage of successful SE. Commercial engagements are also possible after the initial success is registered.

Look forward to you all being part of SEE

 

 

 

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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