- Updated: March 4, 2026
- 6 min read
AI Startups Use Dual Equity Pricing to Boost Valuations and Chase Unicorn Status
AI Startups Adopt Dual‑Tier Equity Pricing to Fake Unicorn Status
Meta description: Discover how AI startups are using a dual‑tier equity pricing model to claim unicorn status, the mechanics behind the strategy, real‑world examples, and what founders and investors need to know.
Introduction – The AI Funding Frenzy
The AI sector is in the midst of a capital‑driven boom, with venture firms racing to back the next generative‑AI breakthrough. In this hyper‑competitive environment, founders are under pressure to showcase sky‑high valuations that attract talent, customers, and follow‑on funding. AI news outlets report a surge in “unicorn‑seeking” tactics, the most controversial of which is the dual‑tier equity pricing model. This model lets a startup present a headline valuation above $1 billion while a substantial portion of the equity is actually sold at a much lower price.
The trend was first highlighted in a TechCrunch article that detailed how firms like Aaru and Serval are leveraging the approach to appear as market leaders without diluting early investors as heavily as a traditional multi‑round raise would require.
What is dual‑tier equity pricing?
Dual‑tier equity pricing is a financing structure where a single funding round is split into two distinct valuation “tiers.” The lead investor (or a select group of strategic backers) purchases a large block of shares at a lower, “discounted” valuation, while the remaining investors pay a higher, headline‑making valuation. The result is a blended price that is lower than the headline number, but the publicized valuation can be used for marketing, recruiting, and partnership negotiations.
How the model works
- Step 1 – Set a headline valuation. The startup decides on a target valuation (often $1 billion or more) that will be announced to the market.
- Step 2 – Allocate a “founder‑friendly” tier. The lead VC commits a sizable portion of the round at a lower valuation (e.g., $450 million) to protect the founders’ equity stake.
- Step 3 – Open the “premium” tier. Remaining investors are invited to invest at the headline valuation, often paying a premium for the prestige of being on a “unicorn” cap table.
- Step 4 – Publish the headline number. Press releases and pitch decks highlight the $1 billion figure, while the actual blended valuation remains undisclosed.
Real‑world examples (Aaru, Serval)
Aaru – The synthetic‑customer‑research startup raised a Series A led by Redpoint. Redpoint invested a large chunk at a $450 million valuation and a smaller portion at $1 billion. The round was reported as a $1 billion “unicorn” raise, even though the average price paid by Redpoint was far lower.
Serval – An AI‑powered IT help‑desk platform disclosed a $75 million Series B that valued the company at $1 billion. However, Sequoia’s entry price for the lead portion was $400 million, creating a similar dual‑tier structure.
Both cases illustrate how the model can generate a “unicorn” headline while preserving founder equity and rewarding strategic investors with a discount.
Investor and founder perspectives – key quotes
“If the headline number is huge, it’s also an incredible strategy to scare away other VCs from backing the number two and number three players.” – Jason Shuman, General Partner at Primary Ventures
Many VCs view the dual‑tier approach as a defensive move in a crowded market. UBOS partner program executives note that “strategic pricing tiers can align incentives between early backers and later‑stage investors, but they also raise transparency concerns.”
Founders, on the other hand, appreciate the ability to claim unicorn status without surrendering excessive control. One anonymous founder said, “The headline valuation opened doors to top talent and enterprise contracts that would have been impossible at a $400 million price tag.”
Risks, benefits, and impact on unicorn status
The dual‑tier model delivers clear short‑term advantages, but it also introduces long‑term risks that can affect a startup’s trajectory.
Benefits
- Marketing leverage. A $1 billion headline creates buzz, attracting media coverage and high‑quality hires.
- Strategic investor discounts. Lead VCs receive a better price, strengthening the partnership and increasing the likelihood of follow‑on support.
- Capital efficiency. By consolidating two rounds into one, startups avoid the distraction of repeated fundraising cycles.
Risks
- Down‑round danger. If the next raise fails to exceed the headline valuation, the company may face a punitive down round, eroding founder and employee equity.
- Credibility erosion. Investors and analysts may view the dual‑tier structure as “creative accounting,” potentially harming future fundraising.
- Talent retention challenges. Employees who discover the blended valuation is lower than advertised may lose confidence, affecting morale.
Impact on unicorn status
While the headline number technically qualifies a startup as a unicorn, the market is increasingly scrutinizing the underlying economics. Analysts now compare the blended valuation against revenue multiples to assess true unicorn quality. A recent startup valuation report shows that 38% of AI unicorns announced in 2025 had blended valuations at least 30% lower than their headline figures.
| Startup | Lead‑tier Valuation | Premium Tier Valuation | Headline Claim |
|---|---|---|---|
| Aaru | $450 M | $1 B | “$1 B Unicorn” |
| Serval | $400 M | $1 B | “$1 B Unicorn” |
Conclusion – What this means for the AI ecosystem
Dual‑tier equity pricing is a symptom of an overheated AI funding market where perception often outweighs fundamentals. For founders, the model offers a shortcut to unicorn branding, but it also creates a hidden debt of credibility that must be repaid in future rounds. For investors, the approach can secure a discount while still riding the hype wave, yet it demands rigorous diligence to avoid being blindsided by a later down round.
As the AI sector matures, we expect a shift toward greater valuation transparency. Platforms like the Enterprise AI platform by UBOS are already building tools that surface blended valuations in real time, helping both founders and VCs make more informed decisions.
Take the Next Step
Stay ahead of the valuation curve by exploring our AI news hub for the latest trends, and dive deep into our startup valuation insights to benchmark your own fundraising strategy.
Ready to build AI‑powered products without the financing headache? Check out the UBOS platform overview and discover how our Workflow automation studio can accelerate your go‑to‑market timeline.

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Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.