The most interesting AI story in this week's fintech funding is not a model. It is a trust problem. Baselayer, a San Francisco startup that helps financial institutions verify businesses and assess fraud risk, raised $35 million to extend its identity technology to AI agents.1 The Series A was led by M13, with Picus Capital, Torch Capital, Afore Capital and Matt Thompson of Socure also participating.2 The bet is that before agents can spend money, someone has to establish who they are acting for.
This piece separates what the sources establish from what they only suggest. The AI-agent claims here come from company announcements and interviews, which are less reliable than filed accounts. The only SEC-checked numbers in our dossier belong to Robinhood. They are useful context, but they do not measure agent adoption.
The product: identity for software that appears and vanishes
On September 22, 2026, Baselayer launched an Agentic Identity Suite. It extends the company's identity network from businesses to the AI agents transacting on their behalf.3 The pitch is a simple observation from Baselayer's Jonathan Awad: "Agents spin up and they spin down. How can you trust this random one-task agent?"1
Awad also describes the failure mode if the industry gets this wrong. Unless agents can establish that they act for legitimate people or businesses, he says, "agents will just get blocked everywhere."1 For practitioners, this is the useful framing. The bottleneck for agentic commerce here is not what the model can do. It is whether a merchant or bank will let the agent in at all.
Awad also gave a sense of how slow this kind of infrastructure is to sell. Relationships with financial institutions typically take 12 to 18 months to establish, he said, and large merchant partnerships can take up to 24 months.1 He added: "We've essentially streamlined 10 years' worth of selling into two years."1 That is a founder's description of his own company. It is not an independently measured result.
A sceptic in the same funding cycle
The enthusiasm has an internal counterweight. Sean Jacobsohn of Norwest, who invests in HR and fintech software, argues that AI has a hard limit in finance: "You don't want AI doing calculations because it is not good at math. There are certain workflows it can handle where it doesn't produce precise numbers. But when you need precision, accuracy and calculations, you can't rely on AI for that."4
He is not arguing that AI has no place in finance. He is drawing a line between workflows that tolerate imprecision and those that do not. He also says disruption is easier outside the core of big enterprise vendors. In his words: "I think it would be very hard to disrupt the core products of Workday, ADP, SAP, UKG and Dayforce. But it's easier to disrupt some of their secondary products, where the category isn't their core business."4
On ERP, he sees an opening: "I think there's a potential opportunity to disrupt NetSuite and Sage. Those companies have been around for a very long time. I'm seeing more disruption downmarket, and some of these companies will eventually move upmarket."4 He gives a structural reason CFO tooling is vulnerable: "There's actually one less layer of approval when they're buying their own software, so it is a little easier to replace it when they're the direct buyer."4
Taken together, the investor view is a map of where AI-native finance products can realistically win. It is not a claim that agents will run the books.
Robinhood: the retail platform adding agents
The retail trading platform Robinhood, which the SEC regulates, offers the best-documented numbers in this story. Its filed figures show a company that has changed scale in two years. Revenue was $1.865 billion in fiscal 2023, $2.951 billion in 2024 and $4.473 billion in 2025.5 Net income moved from a loss of $541 million in 2023 to a profit of $1.411 billion in 2024 and $1.883 billion in 2025.5 Earnings per share went from -$0.61 to $1.56 to $2.05 over the same years.5
For a technology audience, the most telling line may be research and development spending. It was $349 million in 2023, $323 million in 2024 and $355 million in 2025.5 Revenue more than doubled while R&D stayed roughly flat. The dossier does not say why, so we do not speculate on the cause.
Cash is volatile rather than climbing. The filings show $4.835 billion at the end of fiscal 2023, $4.332 billion in 2024 and $4.261 billion in 2025.5 At Q2 2026 it was $5.362 billion.5 Operating cash flow swung from $1.181 billion in 2023 to -$157 million in 2024 and $1.638 billion in 2025.5
One seam is worth showing. Two records give Robinhood's cash at September 30, 2025 as $4.331 billion and $4.3 billion, a difference of about $31 million. The $4.331 billion figure is the SEC-checked one, which is the one we use. The gap looks like rounding, but the dossier does not say so.5
On September 29, 2026, at its HOOD Summit, Robinhood announced a long product list. It included Robinhood Social, Robinhood Agent, take-profit and stop-loss orders, perpetuals, 24/7 trading, extended options hours, earnings predictions, intraday buying power and 10X crypto leverage.6 The dossier names Robinhood Agent but does not describe what it does, so we cannot say how it works or how it handles the precision problem Jacobsohn raises.
The trading side: KPI contracts
The next day, Cboe said it plans to launch binary contracts tied to company-specific key performance indicators. They are expected in October 2026, subject to regulatory approval.7 The contracts are tied to 23 companies, and Robinhood will be the first retail broker to offer them.7 Cboe will charge no fees on them through the end of 2026, subject to regulatory review, and Robinhood will also offer them with no fees through year-end.8 Cboe's Steve Quirk said: "Earnings contracts give retail investors another tool to inform their strategies and offer an even more precise way to trade on anticipated company KPIs."7
This is a trading story rather than an AI story, and the dossier draws no direct link between KPI contracts and agents. Regulatory status matters here. The Commodity Futures Trading Commission regulates Kalshi, a competitor in prediction markets, and Sequoia Capital has invested in it.9
Consolidation by incumbents
On October 22, 2026, LSEG agreed to acquire Octus, a provider of credit intelligence, data and workflows, for cash from funds advised by Permira and Octus management.10 The topic brief also lists Circle–Tazapay, Grab–Atome and Adobe–Rilo as consolidation deals. Our dossier holds no deal terms or documents for those three, so we do not characterise them.
How much to trust the sources
Reliability varies sharply. Across 6,376 claims we checked, 53% of those from the Cboe and Robinhood announcement's source feed held up. For the Crunchbase News reports used here, 49% of 41 checked claims held up.71 Those are low rates, so every non-SEC claim in this piece should be read as reported rather than confirmed. The Baselayer funding details come from a single outlet's exclusive, and the quotes come from the speakers' own interviews.
The topic frames the whole picture as bullish. That framing is the sentiment tag on the narrative. The evidence we hold does not measure agent usage, revenue from agentic products, or the volumes any of these new contracts will see.
What to watch
- Whether KPI contracts launch in October as planned. Cboe says approval is still required, and the zero-fee period ends with 2026.78
- What Robinhood Agent actually does. The product is named, but its scope and safeguards are not described in our sources.6
- Whether agent identity becomes a gating requirement. Awad's warning of agents being blocked everywhere is a prediction, and the 12-to-24-month sales cycles he describes suggest adoption will be slow.1
- Whether R&D stays flat at Robinhood as it adds AI features. It has stayed between $323 million and $355 million over three filed years.5