Key Takeaways
- Provable Markets raised $7.5M toward a $13.5M offering for its securities lending infrastructure
- Petra Labs closed a $5.2M Seed round led by Work-Bench for AI search optimization
- Both rounds signal continued investor interest in fintech infrastructure and AI-native marketing tools
Provable Markets, a fintech building trading infrastructure for securities lending, raised $7.5M according to an SEC filing disclosed today. The New York-based company operates an SEC-registered alternative trading system (ATS) for equity finance, and this close brings its total reported equity funding to $15.5M.
Separately, Petra Labs announced a $5.2M Seed round for its AI search optimization platform, which helps enterprise brands track and attribute revenue from AI-generated answers.
What does Provable Markets actually do?
Provable Markets provides infrastructure for securities lending and equity finance trading. In plain terms: when hedge funds borrow shares to short a stock, or when asset managers lend out shares to generate extra yield, the transaction often runs through opaque bilateral channels. Provable Markets built an ATS to make these trades more transparent and efficient.
Matthew Cohen and Ruben de Vries founded the company in 2020. The SEC filing indicates the total offering size is $13.5M, with two investors participating in this close. The company has not disclosed who those investors are.
Securities lending is a $3 trillion-plus market globally, dominated by a handful of large custodians and prime brokers. Startups have struggled to break in because the incumbents control both the supply (institutional lenders) and demand (hedge funds). Provable Markets' SEC registration gives it regulatory credibility, but the real test is whether it can aggregate enough liquidity to matter.
Context on the broader fintech funding environment this quarter
Petra Labs bets on AI search visibility
Petra Labs raised $5.2M in Seed funding led by Work-Bench, with Afore Capital and Pathlight Ventures participating. Founded in 2025 by Sami Akkawi, Rishi Penmetcha, and Ramie Khoury, the company targets a new problem: how do brands appear in AI-generated answers, and can they tie that visibility to actual revenue?
Traditional SEO tools like Semrush, Ahrefs, and Clearscope focus on ranking in Google's blue links. Petra Labs focuses on a different interface: the AI answer boxes and summaries generated by ChatGPT, Perplexity, and Google's own AI Overviews. As more users get answers without clicking through to websites, brands face a visibility problem that existing SEO stacks don't solve.
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Work-Bench, which led the round, focuses on enterprise software and has backed companies like Cockroach Labs and Catalyst. The fund's thesis often centers on infrastructure that enterprises will need regardless of which AI models win. AI search optimization fits that mold.
Comparing the two rounds
| Company | Amount Raised | Stage | Sector | Founded | Lead Investor |
|---|---|---|---|---|---|
| Provable Markets | $7.5M (of $13.5M offering) | Not disclosed | Fintech / Securities Lending | 2020 | Not disclosed |
| Petra Labs | $5.2M | Seed | AI / Marketing Tech | 2025 | Work-Bench |
The rounds share a common thread: both companies are building infrastructure for markets undergoing structural change. Provable Markets targets the shift toward electronic, transparent securities lending. Petra Labs targets the shift from click-based search to AI-generated answers.
Another recent infrastructure-focused funding round
What this signals for founders
Infrastructure bets require patience. Provable Markets has been at this for six years and is still raising sub-$20M rounds. That's not a criticism; securities lending is a slow-trust, high-stakes market where relationships take years to build. Founders considering regulated fintech should plan for long cycles.
Petra Labs, by contrast, is moving fast into a category that barely existed 18 months ago. The risk is different: the AI search landscape could consolidate, shift, or fragment in ways that make today's optimization strategies obsolete. But the upside is that early movers in a new category can define it.
Logicity's Take
Provable Markets faces the classic fintech infrastructure challenge: it needs liquidity to attract participants, and participants to build liquidity. Six years in, a $7.5M raise suggests steady progress, not breakout traction. Petra Labs is the more speculative bet, building for a search paradigm that's still forming. If AI answers continue replacing traditional search clicks, demand for this tooling will spike. If Google claws back traffic or AI interfaces fragment, the market may not materialize. For founders watching: both deals show investors still have appetite for infrastructure plays, but the bar for 'why now' has gotten higher.
More infrastructure startups attracting investor attention
Frequently Asked Questions
What is Provable Markets?
Provable Markets is a fintech company that operates an SEC-registered alternative trading system for securities lending and equity finance transactions.
How much has Provable Markets raised in total?
The company has raised $15.5M in total reported equity funding, including the latest $7.5M close.
What does Petra Labs do?
Petra Labs provides an AI search optimization platform that helps enterprise brands track their visibility in AI-generated answers and attribute that visibility to revenue.
Who invested in Petra Labs?
Work-Bench led the $5.2M Seed round, with participation from Afore Capital and Pathlight Ventures.
When was Petra Labs founded?
Petra Labs was founded in 2025 by Sami Akkawi, Rishi Penmetcha, and Ramie Khoury.
Need Help Implementing This?
If you're a founder building in fintech infrastructure or AI-native marketing tools and want to discuss go-to-market strategy or fundraising positioning, reach out to the Logicity team. We connect founders with operators who've scaled in these categories.
Source: AlleyWatch
Manaal Khan
Tech & Innovation Writer
Produced with AI assistance and reviewed by the Logicity editorial team. Learn more in our Editorial Policy.
