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Here's the pitch deck a startup for Wall Street traders used to win $30 million from investors like Stanley Druckenmiller and Greg Coffey

1 December 2024 at 04:14
Collage of two head shots of men outside.
Reflexivity cofounders Jan Szilagyi and Giuseppe Sette.

Reflexivity

  • Reflexivity is a startup cofounded by two former hedge fund traders.
  • It sells software to hedge funds and institutional investors to speed up the research process.
  • The 4-year-old upstart just raised its $30 million Series B.

A startup looking to transform how investors and traders use data just received funding from some of the biggest names in the hedge fund world.

Reflexivity, formerly known as Toggle AI, raised its $30 million Series B in late October. Interactive Brokers and Greycroft led the round, which included participation from billionaire investor Stanley Druckenmiller and Greg Coffey, the Australian founder of hedge fund Kirkoswald. Existing investors include Millennium Management's founder, Izzy Englander, and General Catalyst.

Reflexivity was founded by two former hedge fund traders who were all too familiar with the woes of wrangling disparate data sets to find an investing edge, or at the very least, to not miss out on an opportunity others are seizing. The startup aims to mitigate that by combining third-party data from a dozen providers like S&P Global and newsfeeds, in addition to proprietary internal information, for a full-view analysis and also flagging the potential impact world and market events may have on a portfolio.

"When you are an investor inside a major hedge fund, one big fear that is always present is that you are going to miss something," cofounder and CEO Jan Szilagyi told BI. "It's always exciting to have a trade that you are the only one that's in it, but the thing that is far worse is to miss on the trade that everybody else but you is in."

The four-year-old startup recently changed its name to more closely align with how the platform helps with the investment process, Szilagyi told Business Insider.

"Reflexivity is the act of examining one's own assumptions, beliefs, and judgment systems, and thinking carefully and critically about how these influence the research process," he said, referring to a term popularized by legendary investor George Soros.

Szilagyi was a portfolio manager for nearly 20 years at firms including Druckenmiller's Duquesne Capital Management and Fortress Investment Group. The fintech's president and other cofounder, Giuseppe Sette, also worked in asset management including a stint at macro giant Brevan Howard. They remember the investment analysis process as one that "seemed hopelessly broken" because critical data sources were fragmented and spread out across different providers and systems, Szilagyi said.

The firm estimates the potential market for its services is $16.4 billion. Reflexivity so far has about 20 institutional clients, tallying some 15,000 individual users. Clients include trading platforms like Interactive Brokers, banks, including Japan's largest in MUFG, and several hedge funds, including Millennium Management, Soros Fund, and ExodusPoint. The startup was highlighted as one of Business Insider's up-and-coming fintechs in 2023.

It has a valuation between $115 million and $150 million, Szilagyi said.

How Reflexivity works

The upstart's platform lets stock-picking investors analyze data that covers about 40,000 securities from a dozen different providers, including Refinitiv and the London Stock Exchange Group, the Federal Reserve, and S&P Global. It is also built to alert customers, mostly discretionary investors who work at hedge funds and asset managers, to market events and their potential ripple effects on a given portfolio.

If there's a big move in treasury yields, Reflexivity will automatically examine the ripple effects and see how that could impact banking stocks. In this hypothetical example, Reflexivity would see that its user, say a hedge fund trader, has Wells Fargo stock in her portfolio, and flag to her that Wells Fargo stock historically reacts very well to a rise in yields.

Behind the scenes, a proprietary knowledge graph and generative AI-powered user interface helps users connect the dots and better understand investing relationships, Szilagyi said.

Szilyagyi says he also has an answer to a question many Wall Street technologists are facing with hallucinations, or generative AI's tendency to make up answers that are presented as fact.

Reflexivity's answer is a so-called closed system, wherein the AI models can only pull answers from data that's been pre-vetted by the startup. The reason other models, like OpenAI's ChatGPT, hallucinate is because it operates on an open system that takes in data from anywhere on the internet, Szilagyi said. If it can't find anything, it'll be inclined to make up an answer because these tools are built to deliver some kind of answer, he said.

On top of that, Reflexivity also programmed its models to not force an answer to every question. About 5% of the time, Reflexivity will say it doesn't have the ability to answer a given question if it's unable to generate an answer from the data it's been given, Szilagyi said.

"For finance professionals, the ability to get the candid and honest answer is absolutely critical because it only takes one, two hallucinations to be extremely costly when it comes to trading," Szilagyi said.

Here's Reflexivity's pitch deck it used to raise its Series B.

(Because the startup only recently changed its name, these slides include its former name, Toggle AI.)

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Pitch deck Reflexivity, formerly Toggle AI, used for its Series B
Pitch deck that Reflexivity, formerly Toggle AI, used for its $30 million Series B

Reflexivity

Read the original article on Business Insider

15 AI-powered fintechs that top VCs think are most promising

6 December 2024 at 04:46
Head shot composite of startup founders.
Iris Finance's Intel Chen; Brico's Snigdha Kumar; Materia AI's Lucas Adams; Clerkie's Guy Assad

Iris Finance; Brico; Materia AI; Clerkie

  • Business Insider asked 27 venture-capital investors to nominate the most promising fintechs.
  • Fintechs using AI to help Wall Street firms, bankers, and consumers lead this year's series.
  • Here are the top 15 AI fintechs, according to VCs.

Fintech investors still see at least one bright spot in the industry, despite funding to the sector hitting one of its lowest points since the pandemic.

Total funding to fintechs fell once again last quarter, according to CB Insights' third-quarter data. Only 753 deals were inked, notching the lowest quarterly level since 2017.

However, the dealmaking drought could ease up in the next year as a result of antitrust scrutiny softening and VCs might be more willing to open up their pocketbooks. One area that investors will likely hone in on once they do is AI.

Earlier this year, Business Insider asked dozens of VCs to identify the most promising fintechs to watch. Nearly one-quarter of the startups they named are leveraging AI as a key part of their offering. Indeed, it is difficult to point to one area of finance where AI startups aren't threatening to change the way people bank, invest, save, and work.

Some of the startups on this list are business-facing, helping dealmakers negotiate debt agreements, streamlining tedious processes for junior bankers, or automating manual processes for accountants and CFOs. Others use AI to serve consumers, whether it's helping them figure out the best way to pay off debts or maintaining access to healthcare between jobs.

The startups named haven't raised beyond a Series C and include a mix of investors' portfolio companies and ones they have no financial interest in.

Here are 15 of the most promising AI fintechs to watch, according to top VCs.

BeatBread
Head shot collage of two men posing in their respective head shots outdoors in front of some plants.
BeatBread cofounders, Peter Sinclair, CEO, and John Haller, COO and chief data scientist.

BeatBread

Cited by: Deciens Capital (investor)

Total raised: More than $150 million

What it does: BeatBread uses AI to analyze and predict revenue potential for the music industry, providing funding advances to a broad range of artists.

Why it's on the list: "Artists of all sizes want independence and ownership over their music, to work with their preferred partners, and to control their own destinies. Historically, there hasn't been a real alternative to the major label advance for artists to get the capital they needed to scale their careers, which locks them into the label ecosystem," Dan Kimerling, the managing partner at Deciens Capital, said.

"2024 has been a pivotal year for BeatBread, marked by strategic moves and partnerships that further solidify its mission," Kimerling said, referring to its partnerships with the administrative publishing company Kobalt and its subsidiary AMRA to offer artists increased royalties and faster payments. Other strategic moves include a series of deals providing funding to independent labels to expand how BeatBread provides capital to artists.

Brico
A man and woman sit on a white couch posing in a group shot with some plants in the foreground.
Brico cofounders Edward Swiac and Snigdha Kumar.

Brico

Cited by: TTV Capital, Homebrew

Total funding: $8.1 million

What it does: Brico helps financial institutions and fintechs manage their licensing by using AI to automate applications and renewals.

Why it's on the list: "With Brico, businesses can effortlessly navigate the complexities of acquiring, renewing, and managing compliance for various financial licenses β€” including Credit, Money Transmitter, Mortgage Loan Originator, and more β€” in all 50 states," Lizzie Guynn, a partner at TTV Capital, said. "Brico makes regulatory compliance seamless and cost-effective with its user-friendly tools that reduce time and money spent on financial licenses."

"It's addressing a very manual and expensive process that nearly every financial services company needs to deal with on an annual basis," Satya Patel, a partner at Homebrew, said.

Cascading AI
Two young men pose in Stanford Engineering sweatshirts with the New York City skyline in the background.
Cascading AI cofounders Isaiah Williams, CTO, and Lukas Haffer, CEO.

Cascading AI

Cited by: QED Investors, Vesey Ventures

Total raised: $4.1 million

What it does: Cascading AI, through its main product Casca, offers loan-origination software for the banking sector with an integrated AI assistant that allows firms to extend their hours.

Why it's on the list: "Customers do not operate on the 9-to-5, Monday-to-Friday schedules that banks do," Laura Bock, a partner at QED Investors, said. "When a pizzeria's oven breaks, the owner is inquiring about a loan after closing shop. While today, it might take nearly three days to hear back from a loan officer after submitting an application, financial institutions using Casca's AI platform are able to unlock 24/7, 365 support for current and potential customers."

Dana Eli-Lorch, a founding partner at Vesey Ventures, said: "Their flagship product, an AI-powered loan assistant, enables manifold increases to banks' productivity and loan conversion rates, all while enhancing both accuracy and applicant experience. Casca exemplifies the powerful impact AI can have on financial services, driving significant operational efficiency and customer satisfaction."

Clerkie
Compilation of two photos of men posing in their head shots.
Clerkie's Guy Assad, CEO, and Sebastian Wigstrom.

Clerkie

Cited by: Flourish Ventures (investor)

Total raised: $41 million

What it does: Clerkie embeds its AI debt-automation software in financial institutions' mobile apps, allowing consumers to make financial decisions about their debts and discover solutions if they're struggling to pay them off.

Why it's on the list: "Clerkie's data flywheel and network create a win-win scenario for both consumers and financial institutions. Consumers enjoy a seamless experience within their banking app, with flexible solutions tailored to their specific cash flow needs, helping them avoid the collections process and protect their credit scores. Banks benefit from direct ROI through loan repayment while maintaining customer relationships," while also expanding loan-to-value ratios, Flourish Ventures' Emmalyn Shaw said.

She added that "Clerkie assumes no balance-sheet risk, serving as the debt-network and debt-payment infrastructure for financial institutions."

Comulate
Two men sit at an outdoor chess table in a park, smiling and looking at the camera.
Comulate cofounders Jordan Katz, CEO, and Michael Mattheakis, CTO.

Comulate

Cited by: Pathlight Ventures (formerly Exponent Founders Capital)

Total raised: About $5 million

What it does: Comulate automates insurance statement processing, reconciliation, revenue recovery, and forecasting.

Why it's on the list: "Leveraging AI to drive real revenue lift for insurance carriers is driving success in a category" that's historically been hard to break into, Charley Ma, a cofounder and managing partner of Pathlight Ventures, said.

Coris
Composite of two headshots of men posing outside.
Coris cofounders Shyam Maddali, CTO, and Vinodh Poyyapakkam, CEO.

Coris

Cited by: Pathlight Ventures (investor)

Total raised: $3.7 million

What it does: Coris builds software for fintechs and other tech companies to manage risk and fraud among small- and medium-size business clients.

Why it's on the list: "Aggregating unstructured data on SMBs to generate insights at scale is challenging. Coris is at the forefront, leveraging a variety of methods across LLMs, ML, and good old-fashioned software to establish itself as the leading platform for managing SMB risk and fraud β€” already working with clients like Mindbody and ClassPass," Pathlight's Ma said.

Fintary
A woman smiles in her head shot wearing a purple and white color block shirt.
Fintary founder Qiyun Cai.

Fintary

Cited by: Harlem Capital (investor)

Total raised: $2.5 million

What it does: Fintary helps insurance companies manage their finance and accounting needs by using AI to automate workflows.

Why it's on the list: "They have been invited to their customers' conferences in order to share the product with their customers' customers," Henri Pierre-Jacques, the cofounder and managing partner of Harlem Capital, said. He said Fintary has grown more than 10 times since Harlem's investment last fall, adding that "the quick ramp has been one of the fastest we've seen for a preseed company."

Greenlite
Two men in business casual clothes stand in front of a table at a conference exhibition with a TV screen beside them that reads "At Greenlite.ai"
Greenlite cofounders Will Lawrence and Alex Jin.

Greenlite

Cited by: Greylock (investor)

Total raised: $4.8 million

What it does: Greenlite automates compliance processes using AI for fintechs and banks.

Why it's on the list: "Greenlite has seen exceptional customer demands with enterprise banks and fintechs and has proven one of the few enterprise-grade applications for generative AI β€” automating tedious compliance workflows like alert handling, periodic reviews, and document processing, improving efficiency and reducing human error," Seth Rosenberg, a general partner at Greylock, said.

Iris Finance
Composite of three men's head shots.
Iris Finance cofounders Alex Heckmann, Drew Fallon, and Intel Chen.

Iris Finance

Cited by: Redpoint Ventures

Total raised: $3.5 million

What it does: Iris Finance offers consumer-facing companies AI-powered financial planning and analysis software.

Why it's on the list: "While the notion of AI bookkeeping is very much in vogue today, replacing Quickbooks is hard β€” and not something most brands or outsourced accountants are looking to do in the near term," Redpoint's Clark said. "Iris, instead, complements Quickbooks with a more holistic AI-powered CFO-in-a-box for brands, enabling them to seamlessly track and improve day-to-day sales and margin performance across channels, which much more closely aligns with what founders want and how modern brands are managed."

Materia AI
Composite of two men posing in their head shots outside with their arms crossed.
Materia AI cofounders Kevin Merlini and Lucas Adams

Materia AI

Cited by: Bain Capital Ventures

Total raised: $6.3 million

What it does: Materia AI helps accountants organize their data, enabling them to automate parts of their work.

Why it's on the list: "With a decline in new auditors and an immense volume of manual data entry, professional-service audits are the perfect place for an AI copilot," Alysaa Co, principal at Bain Capital Ventures, said. "LLMs enable the automation of work like ingesting large sets of unstructured financial data, searchability, comparing against historicals and across the industry, and direct citations for where the data comes from."

Nilus
A man and woman pose in a group shot inside an office.
Nilus cofounders Daniel Kalish and Danielle Shaul.

Adi Eckstein

Cited by: Vesey Ventures (investor)

Total raised: $8.6 million

What it does: Nilus offers an AI-powered cash and treasury management platform for fintechs, financial firms, marketplaces, and other companies moving money.

Why it's on the list: Nilus "provides better data connectivity combined with AI to transform the CFO suite: a trend we are actively investing behind," Lindsay Fitzgerald, a general partner and the cofounder of Vesey Ventures, said.

"With Nilus, treasurers can skip the manual reconciliation work that previously took most of their day and focus on actions that can drive bottom-line impact. We think Nilus is poised to become the default software for modern treasury teams, displacing decades-old workflow tools like Kyriba and GTreasury," she said.

Noetica
Three men sitting on some steps inside an office, smiling into the camera.
Noetica AI cofounders Dan Wertman, Tom Effland, and Yoni Sebag.

Noetica AI

Cited by: Avid Ventures, Index Ventures

Total raised: $7.85 million

What it does: Noetica helps deal professionals negotiate debit agreements with their data using an AI platform that benchmarks terms in corporate debt transactions.

Why it's on the list: "Noetica is a capital-markets data company for corporate debt, a market valued at trillions of dollars. Its AI-powered software allows professionals to upload any credit or bond document and compare all terms to similar public and private deals," Jahanvi Sardana, a partner at Index Ventures, said.

"Corporate debt terms are time-consuming and difficult to benchmark, leading deal professionals, such as lawyers and investment managers, to often miss higher-risk terms, as well as opportunities for negotiation. By building the largest proprietary dataset of corporate debt terms, Noetica is changing how these deals are negotiated and transacted," Tali Miller, a founding investor at Avid Ventures, said.

Novella
A man in a black t-shirt poses in his head shot in front of some plants.
Novella founder and CEO Max Kane.

Novella

Cited by: Avid Ventures (investor)

Total raised: $2.5 million

What it does: Novella is an AI-powered insurance wholesaler specializing in excess and surplus insurance, which addresses higher-risk situations that standard carriers don't usually cover.

Why it's on the list: "Given the complexity of E&S insurance, it is sold through wholesalers who have relationships with specialty carriers, and retail brokers must work with these wholesalers to access these carriers. However, brokers have been frustrated by the leading wholesalers such as Ryan Specialty, Amwins, and CRC Group, whose lack of technology and system integrations lead to slow, inefficient, and opaque quoting processes," Avid Ventures' Miller said.

"The E&S market continues to grow," Miller said, adding that E&S direct premiums written in the US climbed to more than $86 billion in 2023, more than doubling since 2018.

"Using data and AI, Novella aims to reinvent this massive industry by making the information transfer between brokers and carriers fast and error-free and, ultimately, automating quote creation," she added.

Rogo
Three young men sit on a brown leather couch posing in a group shot.
Rogo cofounders Tumas Rackaitis (CTO), Gabriel Stengel (CEO) and John Willett (President).

Rogo

Cited by: Two Sigma Ventures

Total raised: $26 million

What it does: Rogo is building a generative AI assistant to help investment bankers and analysts do their jobs more efficiently.

Why it's on the list: "Rogo's platform is purpose-built for the complex data needs of the financial sector, allowing nontechnical users to query vast amounts of financial data using natural language processing. This is a game changer for institutions like banks, investment firms, and insurers," Frances Schwiep, a partner at Two Sigma Ventures, said.

"I see immense potential in Rogo's ability to give first-of-its-kind access to critical financial analytics, positioning them as a key player in transforming how financial institutions interact with their data to drive more informed decisions across the industry," she added.

See the pitch deck for Rogo's $7 million seed.

When
A man smiles in his head shot wearing a periwinkle dress shirt and grey sport coat.
When cofounder and CEO Andy Hamilton.

When

Cited by: TTV Capital (investor)

Total raised: $7 million

What it does: When uses an AI assistant to help exiting employees maintain access to healthcare by providing affordable alternatives to COBRA and making it easy to compare pricing and deductibles.

Why it's on the list: "There are more than 700,000 companies in the United States with 20-plus employees, which means they are required by law to offer COBRA. Last year's 721,677 planned job cuts brought some of the largest reductions in company head count that we've seen in the past two decades," TTV Capital's Guynn said.

"Offering an alternative to expensive, inflexible COBRA not only makes common sense but also economic sense. COBRA participants are three times more costly than active employees, which is especially burdensome for self-insured companies. To date, companies that offer When's fixed-dollar health-insurance premium reimbursement have seen an 80% conversion rate from COBRA. Employees that applied their When benefit to available plans have saved as much as 50% in out-of-pocket healthcare costs," Guynn said.

Read the original article on Business Insider

Say hello to your new coworker: Autonomous AI agents are coming to banks

27 November 2024 at 10:59
A robot dressed in suit and tie stands in front of glass-covered office buildings.
Banks are keen to develop AI agents to assist human employees.

mikkelwilliam/Getty Images

  • Finance firms are keen on AI agents that can automate combinations of tasks.
  • Demand for AI agents is giving birth to a new class of startups and VCs hungry to invest in them.
  • It was a topic of conversation at the Evident AI Symposium in New York on Thursday.

"Talk to this like a teammate and treat it like a teammate."

That's Danny Goldman's guidance to private-equity customers of his startup, Mako AI, which offers a generative AI assistant for junior finance professionals and is backed by Khosla Ventures, an early investor in OpenAI.

His hope is that "engaging with Mako looks much more like engaging with a real human associate than a software tool," he previously told BI. Goldman, who worked in private equity before cofounding Mako AI, predicts that in a year or two, every junior on Wall Street will have their own AI direct report.

It's not just juniors, either. JPMorgan CEO Jamie Dimon, is a "tremendous user" of the bank's generative AI assistant suite. Teresa Heitsenrether, JPMorgan's chief data and analytics officer, said at a conference last week that JPMorgan is working toward giving employees AI assistants that are specific to them and their jobs.

Wall Streeters, say hello to your new coworker. Across the industry, AI agents are beginning to permeate the labor force as assistants who can help humans prep for meetings, write their emails, and wade through troves of information to answer questions almost instantaneously.

In many cases, AI agents are still limited to specific, individual tasks like querying internal data and creating PowerPoints and emails. To take AI agents a step further, technologists and startup investors are fueling a shift to so-called multi-agent systems that coordinate several AI agents to complete more complex tasks more autonomously.

Some tech executives at the Evident AI Symposium said they could see a world with more artificial intelligence agents than humans by 2025. But what will work and life look like in an increasingly hybrid world with humans and bots? Well, that's still being worked out, according to a number of tech executives at the Evident AI Symposium Thursday.

"What's really exciting about agents is that we are still figuring out the tasks they're actually good at, the tools they know how to use, the tools we have to teach them how to use," said Gabriel Stengel, cofounder and CEO of Rogo, which is building the generative AI equivalent of a junior banker.

Another question that still needs to be answered is how to define when an agent is smarter or not than a human, said Kristin Milchanowski, chief AI and data officer of BMO Financial Group.

To some extent, benchmarking humans against AI agents is already happening. In a recent University of Cambridge study that compared who could run a business better, AI outperformed humans on most metrics including profitability, product design, and managing inventory. But they fell short when it came to making decisions on the fly.

Heitsenrether, speaking at the Evident AI conference, told the audience that, over time, she expects AI to be seamlessly embedded in an employee's workflow. By this time next year, she said that she hopes to have a clearer picture of what a more personalized AI assistant for each employee might look like.

But unlocking more autonomous uses of AI is going to require more than technological breakthroughs.

"We don't have a lot of trust right now in these systems," Sumitra Ganesh, a member of JPMorgan's AI research team, said at the symposium.

"We have to slow-walk it to release it to people who are experts who can verify the output and go, 'Okay, that looks fine, you can take that action,'" Ganesh said. "But that's kind of babysitting these agents at this point," she added. "But hopefully, it's like training wheels β€” at some point, we will be confident enough to let them go."

Read the original article on Business Insider

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