Connect with us

Artificial Intelligence

Singapore Startup ProfilePrint Uses AI to Revolutionize Ingredient Quality Control for a Global Market!

Published

on

Singapore Startup ProfilePrint Uses AI to Revolutionize Ingredient Quality Control for a Global Market

As the world’s population continues to grow, so does the demand for food production. However, balancing this need with sustainability and quality control remains a significant challenge. A Singapore-based startup, ProfilePrint, is tackling this issue with its innovative technology aimed at revolutionizing the way agribusinesses assess ingredient quality.

Digital Fingerprints: A New Approach to Ingredient Quality

ProfilePrint has developed a patented digital fingerprint technology that enables rapid and accurate ingredient analysis, saving time and reducing costs for agribusinesses. By using machine learning and molecular-level analysis, ProfilePrint’s technology captures and digitalizes the unique “fingerprint” of food ingredients, allowing producers and traders to make informed decisions without the need for physical sampling.

CEO Insights

Alan Lai, CEO and founder of ProfilePrint, explains that the current ingredient trade system relies heavily on sending physical samples back and forth across the supply chain, which increases both cost and carbon footprint. “ProfilePrint digitalizes food ingredients, so buyers and sellers no longer need to ship samples physically, significantly reducing logistics costs and environmental impact,” Lai says.

How ProfilePrint’s AI-Powered Technology Works

ProfilePrint’s platform allows companies to create custom AI models to assess raw ingredients for specific quality criteria, such as appearance, taste, and molecular composition. Using its platform, companies can quickly determine if an ingredient meets their requirements or if it contains any defects that might impact the product’s final quality.

Demonstration of Capabilities

In a demonstration, Lai showed how ProfilePrint’s technology can detect even minor defects in coffee beans—such as beans that have been improperly fermented or damaged by insects—by analyzing them at a molecular level and instantly providing a quality assessment. “The molecules are captured and converted into a digital fingerprint that contains detailed information about the ingredient,” he explains. Within seconds, the AI system processes the data to provide a quality rating or pricing suggestion.

Expanding Applications and Global Reach

Beyond coffee and tea, ProfilePrint envisions broad applications for its technology in food quality control and security. By offering insights into flavor profiles, pricing, and quality trade-offs, the platform empowers clients to make data-driven purchasing decisions.

Growth Journey

Founded in 2017, ProfilePrint has grown from Lai’s experiences observing farmers in Uganda and China, where limited resources often led to low selling prices despite high product quality. Today, the startup operates globally with deployments in over 60 locations across six continents. Its digital nature allows clients worldwide to access the service remotely, providing a scalable solution for agribusinesses of all sizes.

Backed by Visionary Investors

ProfilePrint’s potential has attracted investors like Yukihiro Maru, founder of Leave a Nest Capital in Japan. Maru sees ProfilePrint as an example of how AI can transform the agribusiness industry, especially in emerging markets. “ProfilePrint can adapt its technology beyond coffee and tea, moving into the food security space,” he said at the Singapore Week of Innovation and Technology (SWITCH) conference.

Industry Context

ProfilePrint is part of a growing sector of AI-driven startups focused on food quality and ingredient analysis. U.S.-based companies like Aromyx and Brightseed also use AI to optimize flavor and health benefits in food and supplements. However, with its unique digital fingerprinting approach, ProfilePrint is poised to make significant inroads into the global market by providing fast, cost-effective solutions to improve ingredient quality control and efficiency.

Commitment to Sustainability

Beyond enhancing operational efficiency, ProfilePrint’s technology promotes sustainability by providing traceability features that allow end buyers to access digital signatures and geographical records of their ingredients. This transparency helps ensure fair compensation for farmers based on quality while fostering trust in the supply chain.

Conclusion

As demand for quality food production continues to rise, ProfilePrint’s innovative technology offers a promising path forward by combining AI with practical solutions for global agribusinesses to meet quality standards sustainably and efficiently. The startup’s approach not only addresses immediate challenges in ingredient assessment but also sets the stage for future advancements in food safety and quality assurance across diverse markets.

With ongoing developments in AI technology, ProfilePrint is well-positioned to lead the charge in transforming how food ingredients are evaluated globally while contributing positively to both producers’ livelihoods and consumer safety.

Continue Reading
Advertisement
1 Comment

1 Comment

  1. binance us register

    March 28, 2025 at 11:26 am

    Thanks for sharing. I read many of your blog posts, cool, your blog is very good.

Leave a Reply

Your email address will not be published. Required fields are marked *

Artificial Intelligence

Adopt AI Secures $6 Million to Power No-Code AI Agents for Business Automation

Published

on

Adopt AI

Adopt AI, a San Jose and Bengaluru-based agentic AI startup, has raised $6 million in seed funding led by Elevation Capital, with participation from Foster Ventures, Powerhouse Ventures, Darkmode Ventures, and angel investors. The funding will be used to expand the company’s engineering and product teams and to scale enterprise deployments of its automation platform.

 

Founded by Deepak Anchala, Rahul Bhattacharya, and Anirudh Badam, Adopt AI offers a platform that lets businesses automate workflows and execute complex actions using natural language commands, without needing to rebuild existing systems. Its core products include a no-code Agent Builder, which allows companies to quickly create and deploy AI-driven conversational interfaces, and Agentic Experience, which replaces traditional user interfaces with text-based commands.

The startup’s technology is aimed at SaaS and B2C companies in sectors like banking and healthcare, helping them rapidly integrate intelligent agent capabilities into their applications. Adopt AI’s team includes engineers from Microsoft and Google, with Chief AI Officer Anirudh Badam bringing over a decade of AI experience from Microsoft.

The company has also launched an Early Access Program to let businesses pilot its automation solution and collaborate on new use cases.

Continue Reading

Artificial Intelligence

Social Media Platforms Push for AI Labeling to Counter Deepfake Risks

Published

on

Social Media Platforms Push for AI Labeling to Counter Deepfake Risks,Startup Stories,Startup News,Startup Stories 2025,Startup Stories India,Tech News,Social Media Platforms Seek AI Labelling,Deepfakes,Social Media Platforms Push for AI Labeling,Social Media Platforms,Social Media,Social Media Deepfake Risks,Deepfake Risks,Deepfake Technology on Social Media,Deepfake on Social Media,AI,Deepfake Threat,Industry Stakeholders,Delhi,AI Content,Deepfake Technology,Stakeholders,Artificial intelligence,Online Platforms,AI Labeling,Deepfake,Digital Services,Digital News,Facebook,Instagram,Advanced Artificial Intelligence,Privacy,Made with AI,Elections,Politics,Personal Privacy

Social media platforms are intensifying efforts to combat the misuse of deepfake technology by advocating for mandatory AI labeling and clearer definitions of synthetic content. Deepfakes, created using advanced artificial intelligence, pose significant threats by enabling the spread of misinformation, particularly in areas like elections, politics, and personal privacy.

Meta’s New Approach

Meta has announced expanded policies to label AI-generated content across Facebook and Instagram. Starting May 2025, “Made with AI” labels will be applied to synthetic media, with additional warnings for high-risk content that could deceive the public. Meta also requires political advertisers to disclose the use of AI in ads related to elections or social issues, aiming to address concerns ahead of key elections in India, the U.S., and Europe.

Industry-Wide Efforts

Other platforms like TikTok and Google have introduced similar rules, requiring deepfake content to be labeled clearly. TikTok has banned deepfakes involving private figures and minors, while the EU has urged platforms to label AI-generated media under its Digital Services Act guidelines.

Challenges Ahead

Despite these measures, detecting all AI-generated content remains difficult due to technological limitations. Experts warn that labeling alone may not fully prevent misinformation campaigns, especially as generative AI tools become more accessible.

Election Implications

With major elections scheduled in 2025, experts fear deepfakes could exacerbate misinformation campaigns, influencing voter perceptions. Social media platforms are under pressure to refine their policies and technologies to ensure transparency while safeguarding free speech.

Continue Reading

Artificial Intelligence

Transforming India’s AI Landscape: OpenAI and Meta’s Collaborative Talks with Reliance Industries

Published

on

Transforming India's AI Landscape: OpenAI and Meta's Collaborative Talks with Reliance Industries

OpenAI and Meta Platforms are reportedly in discussions with India’s Reliance Industries to explore potential partnerships aimed at enhancing their artificial intelligence (AI) offerings in the country. This development underscores India’s growing significance in the global AI landscape.

Key Aspects of the Discussions

  • Partnership with Reliance Jio: One of the main focuses is a potential collaboration between Reliance Jio and OpenAI to facilitate the distribution of ChatGPT in India. This could enable wider access to advanced AI tools for businesses and consumers, leveraging Reliance’s extensive telecommunications network.
  • Subscription Price Reduction: OpenAI is considering reducing the subscription cost for ChatGPT from $20 to a more affordable price, potentially just a few dollars. While it is unclear if this has been discussed with Reliance, such a move could significantly broaden access to AI services for various user demographics, including enterprises and students.
  • Infrastructure Development: Reliance has expressed interest in hosting OpenAI’s models locally, ensuring that customer data remains within India. This aligns with data sovereignty regulations and addresses growing concerns about data privacy. A planned three-gigawatt data center in Jamnagar, Gujarat, is expected to serve as a major hub for these AI operations.

Market Implications

These potential partnerships reflect a broader trend among international tech firms aiming to democratize access to AI technologies in India. If successful, they could reshape India’s AI ecosystem and accelerate adoption across various sectors. As negotiations continue, stakeholders are closely monitoring how these alliances may impact India’s technological landscape and its position as a leader in AI innovation.

Continue Reading
Advertisement

Recent Posts

Advertisement