Onton Secures $7.5M to Expand AI Shopping Beyond Furniture

The AI-powered platform, formerly Deft, aims to bring its advanced shopping experience to apparel and electronics.

Onton, an AI-powered shopping platform, has raised $7.5 million in funding. This investment will fuel its expansion beyond furniture into new categories like apparel and consumer electronics. The company has seen significant user growth, demonstrating strong demand for AI-driven product discovery.

Katie Rowan

By Katie Rowan

December 6, 2025

4 min read

Onton Secures $7.5M to Expand AI Shopping Beyond Furniture

Key Facts

  • Onton raised $7.5 million in a new funding round led by Footwork.
  • The company's total funding now stands at approximately $10 million.
  • Onton's monthly active users grew from 50,000 to over 2 million.
  • The platform plans to expand beyond furniture into apparel and consumer electronics.
  • Onton uses neuro-symbolic architecture to avoid LLM hallucination problems.

Why You Care

Ever wish shopping was less about endless scrolling and more about instantly finding exactly what you want? What if an AI could truly understand your style and needs?

Onton, an AI-powered shopping system, just secured $7.5 million in new funding, according to the announcement. This significant investment means your future shopping experiences could become much smarter and more intuitive. This news is important because it signals a major step forward in how artificial intelligence is reshaping online retail, making it easier for you to discover products.

What Actually Happened

Major tech companies are increasingly using AI to enhance your shopping experience, not just for content creation. Startups like Perplexity, Daydream, and Cherry have also built businesses around AI for product discovery, as mentioned in the release. Onton, previously known as Deft, has witnessed remarkable growth in this evolving landscape. The company reports its user base expanded from 50,000 to over 2 million monthly active users, handling millions of searches and image generations.

Fueled by this impressive growth, Onton announced today that it raised $7.5 million in a new funding round. Footwork led this investment, with participation from Liquid 2, Parable Ventures, and 43, among others, according to the announcement. This latest round brings the startup’s total funding to approximately $10 million. The company plans to use this capital to expand into new categories, starting with apparel and eventually consumer electronics, the team revealed.

Why This Matters to You

This expansion means you could soon use Onton’s AI to find your next outfit or the gadget. Imagine you’re looking for a specific style of jacket you saw in a magazine. Instead of typing vague keywords, you could upload an image and let Onton’s AI do the heavy lifting. This approach aims to cut down the time you spend searching.

Zach Hudson, co-founder of Onton, highlighted a key challenge in e-commerce. He stated, “while large language models (LLMs) are good at guessing probable intent, they have not solved many problems in e-commerce.” This indicates that traditional AI models still have limitations in understanding complex shopping needs. The company has also observed that the average time a consumer takes to make a purchase decision has increased, the team revealed. This suggests a growing need for more effective shopping tools.

Here’s how Onton’s expansion could benefit you:

  • Broader Product Discovery: Find items beyond furniture, across apparel and electronics.
  • Reduced Search Time: AI helps you pinpoint desired products more quickly.
  • Improved Accuracy: Less guesswork, more relevant results for your specific needs.
  • Visual Search Capabilities: Use images to find products, not just text.

How much easier would your online shopping become if an AI truly understood your preferences across all product categories?

The Surprising Finding

Interestingly, despite the rise of large language models (LLMs), Onton’s co-founder, Zach Hudson, points out a crucial gap. He explained that LLMs, while good at understanding intent, haven’t fully solved many e-commerce problems, as mentioned in the release. This might seem counterintuitive given the widespread adoption of AI in various sectors. You might assume LLMs are the ultimate approach for everything.

However, Onton uses a different approach: neuro-symbolic architecture. Hudson said that this method helps the company “eliminate the hallucination problems of LLMs and provide better, logical search results,” according to the announcement. This means their AI is designed to be more reliable and accurate than systems solely relying on LLMs. What’s more, their model can learn information from the real world that might not be in a product description, the company reports. This capability allows for a deeper understanding of products and user needs, going beyond simple text analysis.

What Happens Next

With this new funding, Onton plans a strategic rollout of its expanded capabilities. The company intends to move into apparel categories first, likely within the next few quarters, as detailed in the blog post. Following this, consumer electronics will be the next frontier for their AI-powered shopping system. You can expect to see these new features emerge over the next 6 to 12 months.

For example, imagine you’re redecorating your living room and need a new couch, a matching lamp, and a specific style of smart speaker. Onton’s AI could soon help you find all these items across different categories, offering cohesive suggestions based on your visual input or detailed descriptions. This integrated approach aims to streamline your entire shopping journey.

For readers, the actionable takeaway is to keep an eye on Onton as it rolls out these new features. This could significantly change how you shop online. The industry implications are clear: more companies will likely adopt similar hybrid AI architectures to improve search accuracy and reduce AI ‘hallucinations’ in e-commerce.

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