Periodic Labs in talks for round at roughly $7B valuation after ex-OpenAI startup launch
Periodic Labs, founded by alumni of OpenAI and DeepMind, is discussing a new funding round at a valuation of around $7 billion. According to the current talks, the startup hopes to raise at least hundreds of millions of dollars. For a company that only appeared last year, it is a strong signal: the market is still willing to value teams with deep AI backgrounds very highly, even without publicly disclosed product details.
AI-processed from Bloomberg Tech; edited by Hamidun News
On March 25, 2026, it emerged that Periodic Labs is in talks with investors about a new funding round at a valuation of around $7 billion. For a research-focused AI startup launched only in 2025 by former OpenAI and DeepMind employees, that is a very high mark even by the standards of an overheated AI market.
A round on the horizon
The news is simple: the company is discussing raising at least hundreds of millions of dollars, and its indicative valuation in the talks is around $7 billion. So far these are only talks, not a closed deal, so the final terms may still change. But the range alone shows how aggressively investors are willing to bet on teams building new AI labs around a strong research roster.
This is a particularly notable moment for such a young company. Periodic Labs was founded in 2025, so less than two years have passed since launch. Normally, this pace of valuation growth is possible either for companies with a proven product and revenue, or for teams in which the market sees a rare concentration of expertise. In Periodic Labs' case, the second factor appears to be the main one, judging by the available information: the startup was created by former OpenAI and DeepMind employees.
Who is behind the startup
The OpenAI-DeepMind pairing works as a strong signal to the market in its own right. Both companies are considered among the main centers of cutting-edge AI model development, and their alumni automatically get more attention from funds, partners and potential customers. This does not guarantee success, but it noticeably shortens the path to large checks, especially if the startup positions itself as a research company rather than yet another applied service built on top of other people's models.
There are still few public details about Periodic Labs' product, technology or commercial strategy. From the available description, it is unclear who is taking part in the talks and how the round itself might be structured. For an early-stage company this is a typical picture: first the market judges the quality of the team and the scale of its ambitions, and only later starts demanding more precise metrics.
Here is what is known at the moment:
- the startup was founded in 2025;
- it was created by former OpenAI and DeepMind employees;
- the company is discussing a new funding round;
- the amount raised could be at least hundreds of millions of dollars;
- the valuation benchmark in the talks is around $7 billion.
Why the valuation is so high
The figure looks big even against the backdrop of the generative AI boom, but the market logic here is fairly clear. Investors keep paying a premium for rare teams that can do more than deploy off-the-shelf models and instead produce their own research results. If a startup has a strong scientific core, access to scarce specialists and the ambition to build foundational technology, it is compared not with ordinary SaaS companies but with potential future platforms.
There is also a more pragmatic explanation. After the explosive surge of interest in AI, large funds are looking for the next wave of companies that could grow into infrastructure or model leaders. Against this background, young labs with high-profile founders get a chance to raise money far earlier than they build a long public product track record. For Periodic Labs, such talks are not only about capital but also a test of how far the market believes in the emergence of another top-tier player.
What this means
If Periodic Labs does raise a round on such terms, it will be further confirmation that in 2026 capital in the AI market keeps concentrating around teams with elite research pedigrees. For the industry, it is a signal that the race is no longer only for models but also for the people who know how to build them.
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Key Questions Answered
What are the key details on A round on the horizon?
The news is simple: the company is discussing raising at least hundreds of millions of dollars, and its indicative valuation in the talks is around $7 billion. So far these are only talks, not a closed deal, so the final terms may still change. But the range alone shows how aggressively investors are willing to bet on teams building new AI labs around a strong research roster. This is a particularly notable moment for such a young company. Periodic Labs was founded in 2025, so less than two years have passed since launch. Normally, this pace of valuation growth is possible
Who is behind the startup?
The OpenAI-DeepMind pairing works as a strong signal to the market in its own right. Both companies are considered among the main centers of cutting-edge AI model development, and their alumni automatically get more attention from funds, partners and potential customers. This does not guarantee success, but it noticeably shortens the path to large checks, especially if the startup positions itself as a research company rather than yet another applied service built on top of other people's models. There are still few public details about Periodic Labs' product, technology or
Why the valuation is so high?
The figure looks big even against the backdrop of the generative AI boom, but the market logic here is fairly clear. Investors keep paying a premium for rare teams that can do more than deploy off-the-shelf models and instead produce their own research results. If a startup has a strong scientific core, access to scarce specialists and the ambition to build foundational technology, it is compared not with ordinary SaaS companies but with potential future platforms. There is also a more pragmatic explanation. After the explosive surge of interest in AI, large funds are looki
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