Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
AI has revolutionized the finance industry. These examples show how.
If there’s one technology paying dividends for the financial sector, it’s artificial intelligence. AI has given the world of banking and finance new ways to meet the customer demands of smarter, safer and more convenient ways to access, spend, save and invest money.
Artificial intelligence (AI) in finance transforms the way people interact with money. AI helps the financial industry streamline and optimize processes ranging from credit decisions to quantitative trading and financial risk management.
The market is growing too, with the market value of AI in finance estimated to be worth over $166 billion by 2035.
And as the market expands, it’s important to know some of the key players. Let’s take a look at the areas where artificial intelligence in finance is gaining momentum and highlight the companies that are leading the way.
Related ResourcesTech & Startup Jobs on Built In
Founded: 2015
Headquarters: Singapore and San Francisco, California
Type of financial company: Payments and financial management
What it does: Airwallex provides its global payments and financial management solutions to over 150,000 businesses. It’s applying AI in a variety of ways, which includes using machine learning and large language models to strengthen real-time risk assessments, streamline onboarding processes and automate KYC.
Founded: 2013
Headquarters: Sherman Oaks, California
Type of financial company: Accounting
What it does: FloQast makes a cloud-based platform equipped with AI tools designed to support accounting and finance teams. Its solutions enable efficient close management, automated reconciliation workflows, unified compliance management and collaborative accounting operations. More than 2,800 companies use FloQast’s technology to improve productivity and accuracy.
Founded: 2011
Headquarters: San Francisco, California
Type of financial company: Payroll management
What it does: Gusto is an HR tech company that supports thousands of small and medium-sized businesses. Its product portfolio features fintech solutions that apply AI across payroll, tax filings, compliance and more, helping employers save time and money and ensure their team members are comprehensively supported.
Founded: 2020
Headquarters: New York, New York
Type of financial company: Taxes
What it does: Onshore is working to help its client companies maximize their tax incentives by leveraging industry-specific expertise along with a blend of software and AI. Its services encompass R&D tax credits, 179D deductions and cost segregation, with audit-ready work delivered in an average turnaround time of two to three weeks.
Founded: 2016
Headquarters: New York, New York
Type of financial company: Procurement and spend management
What it does: Order.co helps businesses to manage corporate spending, place orders and track them through its software. Its clients can use the platform to manage costs and payments on a single unified bill for their operating expenses. The company also offers recommendations for spend efficiency and how to trim their budgets.
Founded: 2010
Headquarters: Aimargues, France
Type of financial company: Financial operations automation
What it does: Yooz’s cloud-based platform uses proprietary AI and robotic process automation technologies to enable automated, intelligent financial operations across industries like manufacturing, construction and engineering, hospitality and automotive. Its solutions help thousands of users worldwide streamline invoice processing and other tasks to improve productivity and reduce waste, errors and fraud.
Founded: 2021
Headquarters: New York, New York
Type of financial company: Market fund management
What it does: Maybern provides an AI-driven operating system that combines fund, investor and performance data into a single record, replacing manual workflows and fragmented spreadsheets for fund management. It layers the foundation for AI-powered capabilities with clear explanations of how results are generated. This allows finance teams to automate complex fund operations, improve accuracy and transparency and move from reactive reporting to proactive, insight-driven decision-making.
Founded: 2023
Headquarters: Chicago, Illinois
Type of financial company: Value orchestration
What it does: Teragonia has developed an AI-powered platform that private equity firms and their portfolio companies use to turn fragmented operational data into real-time, function-specific intelligence. For example, chief financial officers can continuously monitor cash flow and demand forecasts through Teragonia’s technology. Since its 2023 founding, the company has grown to support private equity sponsors responsible for managing more than $400 billion in assets.
Founded: 1966
Headquarters: Purchase, New York
Type of financial company: Payment card services
What it does: Mastercard delivers payment solutions across more than 210 countries and territories. The company employs over 2,000 data scientists, engineers and consultants who are focused on leveraging data and AI to make commerce more secure and personalized. For example, Mastercard’s use of generative AI for fraud mitigation has doubled the detection rate for compromised payment cards.
Founded: 2012
Headquarters: Incline Village, Nevada
Type of financial company: Fraud detection
What it does: Socure created ID+ Platform, an identity verification system that uses machine learning and AI to analyze an applicant’s online, offline and social data, which helps clients meet strict KYC conditions. The system runs predictive data science on information such as email addresses, phone numbers, IP addresses and proxies to investigate whether an applicant’s information is being used legitimately. Socure is used by institutions like Capital One, Chime and Wells Fargo, according to its website.
Founded: 2009
Headquartered: New York, New York
Type of financial company: Alternative investment
What it does: CAIS uses artificial intelligence in its alternative investment platform that covers hedge funds, digital assets and private equity. Its AI-powered CAISey solution is built to improve the discovery, comparison and analysis of alternative funds.
Founded: 2017
Headquarters: New York, New York
Type of financial company: Alternative investment
What it does: Canoe ensures that alternate investments data, like documents on venture capital, art and antiques, hedge funds and commodities, can be collected and extracted efficiently. The company’s platform uses natural language processing, machine learning and meta-data analysis to verify and categorize a customer’s alternate investment documentation.
Founded: 2012
Headquarters: Remote-first
Type of financial company: Cryptocurrency
What it does: Coinbase’s platform allows users to securely trade crypto, stocks and more. The company is building an AI-powered financial management solution called Coinbase Advisor. Through the Coinbase app, users will be able to ask the advisor questions, share context about their goals and receive personalized financial guidance.
Founded: 2018
Headquarters: New York, New York
Type of financial company: Real estate investment
What it does: Entera is an AI-powered investment platform for real estate investors. The platform lets investors buy, sell and operate single-family homes through its SaaS and expert services. Investors can access homes from on and off-market sources. Additionally, Entera can discover market trends, match properties with an investor’s home and complete transactions.
Founded: 2019
Headquarters: New York, New York
Type of financial company: Exchange and prediction market
What it does: Kalshi estimates probabilities for real-world events traded on its prediction markets by analyzing large datasets like news coverage, economic indicators and social signals with the power of artificial intelligence. Traders use AI through its API to build automated trading strategies that detect mispriced markets and execute trades. Internally, the company uses AI tools to accelerate product research, analyze user feedback and generate marketing content.
Founded: 2013
Headquarters: Cambridge, Massachusetts
Type of financial company: Financial data retrieval
What it does: Kensho, an S&P Global company, created machine learning training and data analytics software that can assess thousands of datasets and documents. Its data training software uses a combination of machine learning, cloud computing and natural language processing, and it can provide easily understandable answers to complex financial questions, as well as extract insights from tables and documents quickly. Traders with access to Kensho’s AI-powered database in the days following Brexit used the information to quickly predict an extended drop in the British pound, Forbes reported.
Founded: 2025
Headquarters: New York, New York
Type of financial company: Financial AI
What it does: Kepler is building an AI platform that provides fully traceable outputs. When users ask Kepler’s technology a question, its AI interprets their intent, then deterministic code retrieves the data and runs the calculation. This means every figure the Kepler for Finance offering delivers for investment banking and financial analysis can be traced to its source and every answer is reproducible.
Founded: 2000
Headquarters: New York, New York
Type of financial company: Institutional electronic trading
What it does: MarketAxess develops automated and algorithmic trading solutions, enabling greater transparency, efficiency and competition across the fixed income marketplace. CP+ is the company’s AI-powered algorithmic pricing engine, which leverages a combination of public and proprietary data to deliver real-time pricing for global credit and rates markets.
Founded: 2017
Headquarters: Chicago, Illinois
Type of financial company: Company intelligence and investment research
What it does: Powered by their AI and machine learning algorithms, Tegus is an investment research platform. The company helps clients research investment opportunities more efficiently by providing AI-generated summaries of expert interviews to help them make informed investment decisions.
Founded: 2014
Headquarters: New York, New York
Type of financial company: Electronic trading
What it does: Trumid is a fintech and fixed income trading platform. The company applies advanced analytics and AI technologies to develop products and data-driven tools that can optimize the experience of credit trading. Trumid also uses its proprietary Fair Value Model Price, FVMP, to deliver real-time pricing intelligence on over 20,000 USD-denominated corporate bonds. This AI-powered prediction engine is designed to quickly analyze and adapt to changing market conditions and help deliver data-driven trading decisions.
Founded: 2001
Headquarters: Wakefield, Massachusetts
Type of financial company: Assets management
What it does: Vestmark offers a range of wealth management solutions, enabling personalized investing and fueling growth for its customers. The company serves firms, advisors and investment managers and has integrated AI capabilities into its offerings to enable automated, efficient workflows and deliver insights that support optimized portfolio management.
Founded: 2018
Headquarters: Chicago, Illinois
Type of financial company: Capital raising and asset management
What it does: Wealthblock.AI is a SaaS platform that streamlines the process of finding investors. It helps businesses raise capital and handle automated marketing and messaging and uses blockchain to check investor referral and suitability. Additionally, Wealthblock’s AI automates content and keeps investors continuously engaged throughout the process.
Founded: 2012
Headquarters: San Francisco, California
Type of financial company: Lending
What it does: Affirm offers a variety of fintech solutions that include savings accounts, virtual credit cards, installment loans and interest-free payments. It aims to equip businesses and consumers with the tools necessary to purchase goods and services. The company’s platform supports commerce via mobile or digital.
Founded: 2004
Headquarters: Chicago, Illinois
Type of financial company: Credit assessment and financial analysis
What it does: Enova uses AI and machine learning in its lending platform to provide advanced financial analytics and credit assessment. The company aims to serve non-prime consumers and small businesses and help solve real-life problems, like emergency costs and bank loans for small businesses, without putting either the lender or recipient in an unmanageable situation.
Founded: 2018
Headquarters: Boston, Massachusetts
Type of financial company: Insurtech
What it does: Gradient AI specializes in AI-powered underwriting and claims management solutions for the insurance industry. For example, the company’s products for commercial auto claims are able to predict how likely a bodily injury claim is to cross a certain cost threshold and how likely it is to lead to costly litigation.
Founded: 2021
Headquarters: New York, New York
Type of financial company: Embedded financing
What it does: Gynger uses AI to power its platform for financing tech purchases, offering solutions for both buyers and vendors. The company says creating an account is quick and easy for buyers who can get approved to start accessing flexible payment terms for hardware and software purchases by the next day.
Founded: 2014
Headquarters: New York, New York
Type of financial company: Financial document automation and analysis
What it does: Ocrolus offers document processing software that combines machine learning with human verification. The software allows business, organizations and individuals to increase speed and accuracy when analyzing financial documents. Ocrolus’ software analyzes bank statements, pay stubs, tax documents, mortgage forms, invoices and more to determine loan eligibility, with areas of focus including mortgage lending, business lending, consumer lending, credit scoring and KYC.
Founded: 2014
Headquarters: New York, New York
Type of financial company: Credit decisioning and underwriting
What it does: Scienaptic AI provides several financial-based services, including a credit underwriting platform that gives banks and credit institutions more transparency while cutting losses. Its underwriting platform uses non-tradeline data, adaptive AI models and records that are refreshed every three months to create predictive intelligence for credit decisions.
Founded: 2009
Headquarters: Burbank, California
Type of financial company: Credit underwriting and fraud detection
What it does: Zest AI is an AI-powered underwriting platform that helps companies assess borrowers with little to no credit information or history. The platform uses thousands of data points and provides transparency that helps lenders better assess populations traditionally considered “at risk.” The company reported that auto lenders using machine-learning underwriting cut losses by 23 percent annually, more accurately predicted risk and reduced losses by more than 25 percent.
Founded: 2020
Headquarters: New York, New York
Type of financial company: Financial guidance
What it does: Addition Wealth provides employers with tools, courses and content they can offer to enhance their employees’ financial wellness. Its solutions use artificial intelligence to personalize experiences, show insights into financial scenarios and scale customization. The company is putting an emphasis on shifting away from static AI tools and enabling adaptive, intelligent technology.
Founded: 2012
Headquarters: San Francisco, California
Type of financial company: Banking
What it does: Chime provides banking services that can be accessed online or in-app. Users can receive their paychecks up to two days early and build their credit without monthly fees for overdrafts of $200 or less. It has a network of over 600,000 ATMs from which users can withdraw money without fees. The company partners with FairPlay to embed fairness into its algorithmic decisions.
Founded: 2013
Headquarters: New York, New York
Type of financial company: Lending and banking
What it does: MoneyLion’s platform connects consumers with a variety of financial solutions, ranging from personal loans and money-making side hustles to giveaways and educational resources. Users can interact with the company’s AI-powered search tool to access personalized, actionable guidance to support their finance goals.
Founded: 2011
Headquarters: San Francisco, California
Type of financial company: Banking
What it does: SoFi makes online banking services available to consumers and small businesses. Its offerings include checking and savings accounts, small business loans, student loan refinancing and credit score insights. The company applies AI in multiple ways. For example, SoFi members looking for help can take advantage of 24/7 support from the company’s intelligent virtual assistant.
The finance industry uses artificial intelligence (AI) to:
Available AI finance tools range from automated financial advising and algorithmic trading platforms to AI-driven fraud detection software and specialized accounting platforms. Additionally, consumer-facing apps may use AI for smart expense tracking and personalized financial coaching.
Yes, AI excels at recognizing patterns in historical spending data to generate cash flow forecasts and automated budget recommendations. By analyzing market trends and internal data, AI can help both individuals and businesses predict future financial outcomes and plan accordingly.
While reputable AI finance tools often use bank-grade encryption and strict data security protocols, they are not entirely without risk regarding data privacy and potentially incorrect financial advice. Users should always verify a tool’s security compliance and privacy policies, avoid sharing sensitive credentials with unverified applications and review critical decisions with a human financial professional beforehand.
This content is for informational and educational purposes only. Built In strives to maintain accuracy in all its editorial coverage, but it is not intended to be a substitute for financial or legal advice.
Ana Gore, Jessica Powers, Margo Steines and Rose Velazquez contributed reporting to this story.
