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How AI is Solving Real Problems: 8 Startups Making Big Waves in 2025

Discover top AI startups revolutionizing industries with cutting-edge technology, ESG practices, and travel innovations.

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Image Credit: Midjourney

It is undeniable that with the emergence of these artificial intelligence-based technologies almost any business with a digital component can see its efficiency improved dramatically.

In this article, we will write about the most promising AI startups in which the scenarios of the billions of investment of big investors are already running.

1. Karma: Responsible Behaviour and Waste Management

Many problems related to global sustainable development, as well as many other problems, can be addressed with AI. The developers said that AI can help address some of the challenges around enhancing ESG practices.

As a result, the combination of both AI and ESG can allow Humanity to have access to better models and strategies to fight against climate change, keep tabs on the rate of deforestation, and keep an eye on how energy is being consumed.

Technology is also used by Karma to encourage people to adopt sustainable consumption and the creation of a circular economy. The introduction of the company’s digital assistant was connected with separate waste collection.

An astonishing 90% of consumers have no clue what’s recyclable and not, or how to sort it, the people behind the startup realized.

2. Anthropic: Language Models

The other equally famous Anthropic comes up next. Having its origin from OpenAI, the company is founded by former OpenAI employees who work for the ‘king of the AI industry’.

You basically already know what the company does: it still works as it was working in the previous case, that is it works with AI language models.

Nevertheless, the authors underline that they have something better than OpenAI by key parameters. It has a capital of $18.2 billion and has invested $8.9 billion; the company employs 27,500 people.

3. Polycam: Spatial Analysis

It’s an AI technology where you flip your world, live in ‘3D’ and then you can create and share your world using LiDAR video and motion data captured from your smartphone.

An app that helps people create realistic, extremely detailed models from ordinary photos, making it a handy tool for architects, interior designers, and fashion designers.

Polycam is available for iOS, Android, and the web, and could be used for any professional 3D task like creating floor plans, architectural visualization, VFX, and film.

4. Yesim.app: eSIM Services Provider

They are a company that offers an innovative solution for travelers (SIM cards for travel) and people who care about staying connected without having to use physical SIM cards (roaming data SIM cards).

Their main product is the eSIM connection mobile app, which allows users to quickly and conveniently harness the potential of virtual SIM cards and connect to local carriers in over 130 countries.

As a startup, Yesim is on the list of top world eSIM services and is ideal for those who love travel.

The eSIM service is easy to use. Just install the app from the App Store or Play Market on your iPhone or Android smartphone and you’ll get your personal virtual number and access to the built-in VPN service.

5. Delta AI: Sales Monitoring

Information flows are so huge nowadays that it’s impossible to keep track of everything: that’s where technology comes in handy. An Australian startup allows brands to find out how their products or services are being used in a global context.

The company uses computer vision to monitor social networks, tracking trends and information about how products are used globally every day. With this data, brands can launch new marketing strategies faster and more effectively.

Computer vision can search for images and videos that are invisible to traditional text searches: up to 2371% faster than if a human searched for this information.

Delta AI’s solution is Influencer Sphere, an open platform that uses computer vision technology to analyze similarities in the aesthetics of Instagram accounts. The analytics tool recommends the most aesthetically appropriate Influencers for brands.

6. Miovision: Smart City

The concept of a smart city has long ceased to be something fantastic. Smart traffic lights, automatic air quality analysis, auto-piloted public transportation – all this has long been implemented in different countries.

Miovision has been developing and implementing solutions for smart cities since 2005. Their product is a platform that helps to intelligently distribute traffic in megacities.

Smart cameras and sensors make it possible to analyze the state of roads – from congestion to accidents. Based on the collected data, the algorithm makes recommendations on how to eliminate traffic jams and optimize routes for vehicle owners.

For example, smart cameras assess road congestion, and depending on the density of traffic jams in the city, the work of traffic lights is regulated. The company’s experience shows that implementation of the solution can reduce traffic congestion on highways by 10-15%.

So far, all Miovision pilot projects have been implemented in the USA.

7. Particle: Business Assistant

Particle is an Internet of Things platform used to help businesses prototype, scale, and manage Internet of Things products. Particle is now one of the widest-used platforms in the world today.

The Internet of Things is effectively a network of all types of devices where they can communicate with each other (collect and transmit information) via the Internet. It can be both normal everyday household things and more complex things. And experts think the number of Internet of Things devices will increase from 10 billion in 2020 to 22 billion in 2025.

Examples of Internet of Things devices are smoke and motion sensors in the home, cabs with artificial intelligence, fitness bracelets, and smart parking lots.

It’s an interesting story about how the startup Particle came about. Zach Supalla, the founder, wanted to be able to help his deaf father by creating an indicator that would flash whenever his father received a text message.

And now the company is building tools and kits for web developers to let customers make their own physical prototypes, to attach their own hardware to the Internet.

The startup then sells them a software platform to launch the product once the customers begin to scale. Many of Particle’s customers are also do-it-yourselfers and often want to connect household items to the Internet: It’s a garage door, a coffee machine, or a toaster.

8. Pony.ai: Autonomous Transportation

The startup develops systems for autonomous transportation. The company has completed its first round of investment, during which it raised $112 million in investment. Now Pony.ai is going to bring its solutions to the Chinese market.

The startup was organized by two well-known engineers – both of whom were involved in autonomous driving projects before working together.

Dr. James Peng was the head of the drone program at Baidu. His partner Tancheng Lu also worked on drones at Baidu and at Google X, which was responsible for unmanned transportation before becoming Waymo. Lu is also a multiple medalist and winner of various international programming competitions.

Investors were probably attracted not least by the experience and technical skills of the startup’s founders.

Conclusion 

All these newcomer companies sound promising, but today investors should be careful about making money with them. Wall Street experts have been issuing warnings about that, and anger boiled over this week with trader frustration around AI, and the Nasdaq 100 lost $1t in a single day.

Investors are believed to be pulling $60bn a year into developing AI models, enough to make 12,000 products such as OpenAI’s ChatGPT, according to Barclays analysts. The question, however, still stands, do we really need 12,000 ChatGPT chatbots?

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Written by Alex Wright, a top employee at Yesim.app and a passionate copywriter in the tech niche. He is an expert in mobile technology and communications, an avid traveler and an active user of top world eSIM services. His mission is to share the latest and most innovative tech solutions with people.

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Startups

Move Fast without Breaking People: Product Safety Lessons for Ambitious Startups

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Image Credit: Addicted2success

Fast growth can hide product risks until customers get hurt, especially when safety comes late in development. A software bug can be patched, but a chair, charger, or smart device can cause a burn, fall, cut, or crash.

For founders moving from a prototype to mass sales, the cases handled by Michael Kelly Injury Lawyers in Boston show why launch goals should not push testing, warnings, and foreseeable risks aside. A product claim can involve the design, how a unit was made, user instructions, or several firms in the supply chain.

Why Minimum Viable Should Never Mean Minimally Safe

A minimum viable product should test whether people want an idea, not how much danger they will accept. Teams can delay colors or premium finishes, but not guards, safe heat limits, sound wiring, or clear instructions.

Set Safety Rules Before the Build

The product brief should define who will use the item, where, and what could happen during setup, cleaning, storage, wear, or mistakes. It should also consider what a child, guest, tired worker, or first-time buyer might do.

Shared rules help teams move faster. Designers know which guards must remain. Engineers know which parts cannot fail. Suppliers know what cannot change without review.

Test How People Really Use It

A neat demo is not the real world. Users place products on wet counters, soft rugs, or rough ground. They skip a guide, use the wrong cable, or handle an item in unexpected ways.

Testing should cover misuse without predicting every extreme act. When a risk can be reduced through a guard, lock, stop switch, or clear signal, that design change is often greater than a warning alone.

How Design and Manufacturing Risks Differ

Some risks are built into the design. Others arise when production fails to match the approved plan. Teams need to identify the source before choosing a correction.

Design Problems Start with the Plan

A design problem can affect every unit. A base may tip, a blade may sit too close to a hand, a control may activate too easily, or a battery space may trap heat.

Final inspection cannot repair a flawed plan. The team may need a new shape, shield, limit, material, or control, followed by testing before more units ship.

Manufacturing Problems Break the Plan

A manufacturing problem occurs when a unit or batch does not match the approved design. A fastener may be missing, a weld may be weak, a wire may be damaged, or the wrong component may enter production.

Good records help define the scope. The team should know who made each part, which batch used it, what checks occurred, and where units went. Fast trace work can keep one fault from becoming a wider crisis.

When Customer Feedback Signals More Than Dissatisfaction

Support teams hear about delays, difficult setups, strange sounds, and refunds. Most reports are routine. Yet heat, smoke, sparks, breakage, sharp edges, sudden movement, falls, or failed guards require review.

Treat Complaints as Safety Data

One report may lack key facts, but similar reports can reveal a pattern. Staff should record the model, batch, date, use, photographs, and outcome, then alert someone who can pause sales or order testing.

Teams should not blame unusual use before asking whether another reasonable buyer could make the same choice. A support ticket can be the first sign of a hazard that lab testing missed.

Preserve the Product and the Record

After an injury, the product can help explain what failed. A repair, disposal, or undocumented test can remove evidence. The same applies to old labels, manuals, test files, customer messages, and design notes.

Startups should keep relevant items safely, record who examines them, and preserve earlier versions of instructions and warnings. This history can show what changed and why.

Why Warnings Must Reflect Real Use

A warning works only when a user notices it at the right time. Dense text at the back of a manual may not help during setup. The message should name the hazard, explain the harm, and state what reduces the risk.

Placement matters too. A charging risk belongs near the port. A weight limit belongs where weight is added. Even so, warnings should not replace a safer design when the hazard can reasonably be removed.

How Founders Can Preserve Speed without Cutting Safeguards

A delayed launch, redesign, or recall can feel like defeat. In practice, early action can prevent harm, protect trust, and give the team better facts for the next version. The strongest startups move quickly because their systems protect people.

When a product injures someone, legal guidance can help preserve the item, collect design and manufacturing records, identify responsible companies, and examine whether a defect or unsafe choice caused the harm.

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