Byron, an AI agent platform for tax preparation, today announced its public launch, introducing a system of AI agents designed to eliminate manual processes across the business tax preparation workflow of CPA firms – from processing unstructured client data to generating review-ready workpapers and output. The platform moves beyond point solutions, as the agents take on the series of tasks between receiving the client data and completing the finished tax return. Byron’s $6.5 million seed round was led by Square Peg, with participation from Sorenson Capital and Liquid2 Ventures.
Byron launches as accounting firms face a structural capacity constraint. The profession is dealing with more than 120,000 open accounting and auditing roles annually, a declining pipeline of new CPAs and a workforce increasingly nearing retirement. At the same time, business tax work is becoming increasingly more complex while workflows remain labor-intensive, with teams still manually completing tax returns, rebuilding prior-year workpapers, calculating book-to-tax adjustments and reconciling data across spreadsheets, PDFs and siloed systems. As a result, firms are struggling to keep pace as hiring cycles stretch, existing teams absorb more work, review timelines tighten and error risk increases.
“Accountants don’t have a demand problem, they have a capacity problem,” said Blaze O’Byrne, co-founder of Byron. “That’s been true for years, but what’s changed is the technology. Until recently, most automation for CPAs focused on 1040 returns because business tax workflows were too complex to automate reliably. Firms are dealing with unstructured documents, inconsistent client data, changing tax rules and review-heavy processes that legacy software couldn’t manage effectively. Advances in large language models over the last six months have changed that, and it’s now possible to automate most of the business tax process while still allowing accountants to work directly in Excel.”
Byron integrates with the systems CPAs already use to support 1065, 1120 and 1120-S business tax returns. The agents roll forward prior-year returns and workpapers into a current-year Excel workbook, request missing client information and process the data into review-ready output. Each stage of the workflow – including book-to-tax adjustments, depreciation schedules, state apportionments and partnership allocations – is handled by a specialized agent trained for that task. The system can also process highly complex documents such as K-1s and delivers more than 97% accuracy across federal, state, K-3 and footnote extractions.
Byron’s model is designed so AI agents prepare the work while human accountants verify the outputs, with each extracted number source-linked and confidence-scored. This approach allows firms to focus on high-value review and judgment rather than manual preparation. As engagements evolve, teams can continue working in Excel while Byron keeps outputs synchronized and moves approved data into existing tax software workflows.
“What stood out to us about Byron was that it wasn’t just another AI tool generating outputs in isolation; instead, it was built around how tax work actually gets done inside a firm,” said Anshul Chawla, director of corporate development at Chawla and Chawla. “The platform helps our team spend less time rebuilding workpapers and chasing down information, and more time focused on review and client service. That has a real impact on the day-to-day experience of our people during the busy season.”
Byron is SOC 2 Type II compliant, with encryption in transit and at rest, U.S.-based data hosting and role-based access controls. Customer data is not used to train underlying models, every output links back to its source, and every workflow is logged for auditability and review.
“At Canopy, our core mission is to help accounting firms reclaim their time so they can focus on what matters most – their clients,” said Davis Bell, chief executive officer of Canopy. “By integrating Byron’s advanced tax workflow capabilities directly into our platform, we are eliminating one of the most manual, time-intensive bottlenecks in return preparation. We’re thrilled to bring this seamless tax automation to our customers and continue driving true efficiency for the industry.”
“We spend a lot of time evaluating technology that can actually improve the workflow experience for accounting firms, and Byron stood out immediately,” said Dan Pinkous, founder and chief executive officer of Truss. “What impressed us most was the accuracy of the product, the consistency of the customer experience and the speed at which firms were seeing value. That gave us confidence to deepen the partnership and expand access to Byron through the Truss platform.”
Byron was built by AI and accounting experts from Amazon’s Artificial General Intelligence (AGI) team and Deloitte, bringing together experience developing large-scale AI systems with firsthand knowledge of how complex tax engagements are prepared and reviewed.
CPA firms interested in seeing Byron in action can book a demo to walk through a real business tax engagement – from document intake through generated workpapers and review-ready output. Byron invites firms to bring their most complex 1065 engagements and watch the platform process them in real time.
To learn more or book a demo, visit usebyron.com.
About Byron
Byron is a developer of AI agents for tax preparation. The platform helps CPA firms automate manual business tax workflows from document intake through generated workpapers and review-ready output, enabling accountants to focus on review, judgment and client service instead of manual preparation. Byron’s AI agents process complex tax documents, reconcile data and generate source-linked outputs while keeping accountants in control of the workflow. The platform integrates with existing systems, including Excel and tax software, and is built with enterprise-grade security and compliance standards, including SOC 2 Type II compliance. Byron was founded by AI and accounting experts from Amazon and Deloitte with experience building large-scale systems and working within complex tax engagements. To learn more, visit usebyron.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260527473048/en/
Media gallery
