Black Ore, an AI automating tax prep, gets $60MM from a16z & Oak HC/FT
Lex Sokolin
Managing Partner @Generative Ventures | ex Consensys Chief Economist & CMO | Fintech, AI, Web3
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FINTECH: Black Ore Emerges From Stealth With $60MM In Funding To Bring AI To Financial Services
Black Ore, an AI fintech startup, has emerged from stealth mode after securing a $60MM funding round. The company dedicated the past two years to developing its tech architecture and training its models. Eyal Shinar, the CEO of Black Ore, is a repeat fintech founder, having previously built Fundbox, a $1.1B fintech unicorn that powers payments and lending solutions for SMBs.
Black Ore’s product, Tax Autopilot, is designed to streamline the tax process by using AI to accelerate federal and state tax processing for individuals. The platform lets accounting firms upload tax documents and data, where algorithms transform data and calculate the tax return. It generates both the tax return and supporting workpapers, with a review workflow. Black Ore supplements this tech with a team of CPAs, who conduct a preliminary review of the machine labor before returning final documents to the accounting firm for submission.
During an interview with Bloomberg, Eyal Shinar, the CEO of Black Ore, discussed the company's tech stack. While Tax Autopilot uses Machine Learning and Computer Vision (a subset of machine learning that enables computers to analyze videos and digital images), Black Ore partners with a third party for Language Model Models (LLMs) due to the cost associated with building their own.
However, Shinar emphasized that while LLMs play a role, they account for only 10% of Black Ore's proposition. Tax regulations involve domain-specific terminology, so LLMs have to be augmented to capture the nuances and intricacies of tax-related language with the required precision.
Black Ore's $60MM Series A is large relative to fintech trends, but par for the course for AI startups. However, the company's products align more closely with other wealthtech / personal financial management (PFM) deals we have encountered. There are a variety of financial planning software solutions that use AI to automate financial processes, including tax-related tasks — notable examples include Range, which secured $12MM in its Series A funding round, Canoe Intelligence, which raised $25MM in its Series B, and Conquest Planning, which raised $24MM (CAD).
There is about $10B of annual revenue at play in the tax preparation market. AI opens up ways to reduce meaningful parts of the workflow and make automation far more powerful. For now, the hybrid approach of human and machine collaboration will do the job. The substantial funding round for this company reflects such potential, as well as the oligopoly in tax that could be disrupted. Further, relevant machine learning and generative models could be used in more complex use cases down the line as well, growing the TAM. There are also ways to plug into downstream parts of the industry, like financial and wealth planning, which could bring in product revenues around assets.
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Long Take: An Obituary For Mint.com, Which Inspired A Fintech Revolution
Intuit's decision to shut down Mint.com marks the end of an era for one of the original pioneers in personal financial management (PFM) software.
Mint's intuitive platform revolutionized how users interacted with their finances, offering a seamless experience that aggregated personal banking and investment information. Despite its innovative start, Mint's growth stagnated over the years, leading Intuit to transition users to Credit Karma, a platform with a stronger emphasis on financial product offerings. As Mint.com sunsets, we reflect on its significant contribution to making financial oversight accessible and user-friendly, as well as bootstrapping the embedded finance movement.
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1 年Exciting news.
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1 年Lex, thanks for sharing!
Managing Partner @Generative Ventures | ex Consensys Chief Economist & CMO | Fintech, AI, Web3
1 年For the full newsletter, see here?https://lex.substack.com/p/fintech-brazilian-embedded-finance CC:?Spiros Margaris?Efi Pylarinou?Urs Bolt?Richard Turrin?Mohamed Roushdy, MBA?Theodora Lau?Jason Mikula?Alex Johnson?Marcel van Oost?Christopher Tedrick?Ron Shevlin Props:?Laurence Smith?Matthew James Low?Farhad H.?Daniel Marques?Bo Brustkern