ZyG has emerged from stealth with the launch of its Agentic Operating System to power scale in eCommerce for Direct-To-Consumer (DTC) products. The firm also announced a $58M seed round led by Bessemer Venture Partners, Viola Ventures, and Lightspeed Venture Partners. Several other firms participated in the round, including Disruptive AI, Emerge, Access Industries, Stardom Ventures, and Jibe Ventures. The seed funding appears to have been completed during 2025.
ZyG was founded at the start of 2025 by a team of five people, most of whom had worked together at ironSource (Acquired by Unity Group in 2022). The founders, according to their LinkedIn pages, are:
- Omer Kaplan, CEO
- Nadav Ashkenazy, Co-Founder Zyg
- Tomer Bar-Zeev, Chairman
- Assaf Ben Ami, CFO and COO
- Daniel Shinar. Co-founder of Zyg and Founder and board member at ironsource
- The other co-founders were not involved with ironSource and include:
- Guy Tsur, Chief Product Officer and the only Co-founder who did not work with the other four at ironSource. Tsur joined the leadership team when his startup, Nolos, merged with ZyG in May 2025.
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Dr. Eyal Amitt, CTO
- Omri Steinmetz, Chief Data Officer
A new approach to an old problem
ZyG aims to deliver more than just a technology platform powered by AI for DTC product entities. It offers a partnership that helps organisations at the operational level as well. The thinking behind this is that many products fail to scale successful launches into successful markets.
ZyG identifies three reasons why around 90% of DTC products fail to scale, despite a successful launch, good reviews, and repeat purchases. These “great” products never manage to become a brand name.
Validation: Companies often fail to identify whether a product has the potential to scale. Identifying such potential is complex with many variables, including audience, positioning, price, creative, and offer. The problem is that validation takes capital and data, and many firms cannot afford to invest in this way.
Complexity: Scaling a product into a brand requires multiple skill sets, data, and technology. A successful product requires brand, creatives, paid media, SEO, GEO, influencers, conversion, retention (customer support, sms/email), logistics optimisation, and, importantly, data and predictive modelling in a cohesive whole.
Financing: Scaling doesn’t come cheap, and traditional financing underwrites backwards-looking financials, not forward-looking cohort behaviour and predicted LTV. Financing scaling is hard to obtain.
ZyG aims to solve the Challenges
ZyG offers an end-to-end platform that aims to help organisations solve these challenges. The firm aims to partner with product innovators, entrepreneurs, and DTC brands.
The first step is to identify whether a product has the potential to scale. It achieves this through a “ZyG Score” calculated by a proprietary Agentic Marketability Test. If the product falls short, product founders need to consider changes. Once the score reaches the bar, ZyG helps those organisations by executing “the entire digital layer and supports operational scale, saving partners both the time and the costs of growing headcount, agencies and tools.”
Omer Kaplan, Co-Founder and CEO of ZyG, commented, “Today, product innovators are set up to fail. You can build an incredible product and website, but still have no viable path to becoming a brand that reaches $100M+ in annual sales. Most DTC products stall because founders are forced to master growth marketing, data science, and capital strategy, all at once.
“That’s unrealistic. ZyG exists to change that equation. We’re building a new partnership model that lets founders focus on what they do best – creating amazing products – while our data, technology, AI agents, and financing, power the product to scale.”
ZyG Pricing is based on a pay-as-you-grow consumption model, though details were not disclosed at the time of writing, and the website is pre-launch. The platform enables product founders to retain the full brand IP and recognise 100% of the revenue generated.
Kaplan added, “It is very clear what product innovators and DTC brands don’t need: more software, more agencies, or higher headcount. What ZyG is offering is an Operating System that executes every aspect of growth, allowing partners to focus on product innovation while preserving their equity.”
How ZyG achieves this
The ZyG platform, powered by Agentic AI, consists of Agents that fulfil tasks that startups rarely have time to complete. The network of agents that interoperate assists with:
- Brand optimisation to store building
- Creative generation
- Performance marketing
- Assist with Organic growth (SEO, GEO, and influencers)
- Conversion
- Retention (including customer support and email/SMS)
- Logistics optimisation
Agents are not isolated; they leverage the data held across the platform and interact with each other. That means that, should a customer complain at any point in the lifecycle, agents can take appropriate actions.
The details are unclear, and it will be interesting to see how early adopters and customers respond to the agentic approach. Will firms trust the agentic to deliver success? Will customers enjoy interacting with agents? Can they tell? The proof of success will be whether ZyG customers succeed better.
At the heart of the platform is a data layer that provides data from which ZyG can generate insights using proprietary predictive models. ZyG has developed these to identity growth optimisation strategies, LTV forecasting, attribution and cohort analysis, churn prediction, pricing optimisation, and inventory demand forecasting. As a whole, the platform provides an intelligent, self learning platform that enables products to scale successfully.
Enterprise Times: What does this mean?
Bold claims from ZyG, but these are now backed by several respected investors. The founders also have a solid track record of success, and it will be interesting to see how the early products develop.
The biggest challenge that ZyG will face is whether its validation algorithms can identify “good” products that are doomed before they launch. Will founders launch products anyway? Will ZyG help those products deliver better success? In addition, ZyG needs customer feedback to improve its algorithms.
It is an interesting value-based pricing model, one that ZyG could potentially generate higher revenues from. Will they target enterprise product teams with the platform, or will the team target smaller startup firms? The ZyG platform is a powerful use of Agentic AI that might change how organisations operate.
Can the founders grow this into a multinational business that operates across regions? Will the model work in every country and culture, or will they need to iterate on it for different markets? There are many unanswered questions, but if ZyG can find a market fit, expect to hear more about this startup.
