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Byron

Also known as: usebyron

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Enterprise operations agentindependentVerified 2026-07-07

AI agent platform for business tax preparation that automates the CPA workflow from client document intake to review-ready workpapers and returns, with every number source-linked and every step gated by human approval.

Byron is a San Francisco company, founded in 2025, that builds AI agents for business tax preparation. Founded by Blaze O'Byrne and Wilm Kranz, the team combines artificial intelligence and accounting experience from Amazon's Artificial General Intelligence group and the Big Four firm Deloitte. Byron announced a six and a half million dollar seed round led by Square Peg, with Sorenson Capital, Liquid 2 Ventures, and Correlation Ventures participating, and launched publicly in May 2026 after first customers went live in January. Its thesis is that accounting firms face a capacity problem, not a demand problem, with more than one hundred twenty thousand open roles each year, and that recent advances in large language models finally make it possible to automate the complex business tax process rather than just simple individual returns.

Byron supports 1065, 1120, and 1120-S business returns and works inside the tools firms already use, from email and file storage to accounting systems, Excel, and tax software. A system of AI agents, each trained for a specific task, rolls forward prior year returns and workpapers into a current year Excel workbook, requests missing client information, extracts data from Excel and PDF files, handles partnership allocations and K-1 forms, and produces review ready output. Each extracted number is source linked and confidence scored, and the agents use tools like Python to run the math accurately and reduce hallucinations. The design keeps accountants in control: nothing exports to the tax engine until the firm reviews, approves, and signs off, with source links, confidence scores, approval gates, and audit trails built into every line. Edits made in Excel flow back into Byron without rekeying.

Byron is built for the sensitive data behind every return, with SOC 2 Type II compliance, encryption in transit and at rest, United States based data hosting, role based access controls, and a commitment not to train models on customer data. It integrates with platforms such as Canopy and Truss, which are bringing Byron into their own workflows. It is a strong fit for CPA firms that want to automate the manual preparation behind complex business returns while keeping reviewers firmly in control. It is a weaker fit for firms focused only on individual returns, or those needing open model choice or self hosted deployment, which are not offered.

Vendor details

Canonical URL

https://www.usebyron.com

Category

Enterprise operations agent

Subcategory

AI tax preparation for CPA firms

Funding status

Independent, based in San Francisco, founded in 2025 by Blaze O'Byrne (CEO) and Wilm Kranz, with a team drawn from Amazon's Artificial General Intelligence group and Deloitte. Byron raised a six and a half million dollar seed round led by Square Peg, with participation from Sorenson Capital, Liquid 2 Ventures, and Correlation Ventures. The company began building in September 2025, brought its first clients live in January 2026, and launched publicly in May 2026, with distribution partnerships through platforms including Canopy and Truss.

Company status

independent

Use cases & customers

Primary use cases

Business tax return preparationWorkpaper generation and rollforwardClient document intake and data extractionPartnership allocations and K-1 processing

Target customers

CPA and accounting firmsBusiness tax preparation teamsTax professionals handling 1065, 1120, and 1120-S returnsFirms facing staffing constraints

Deployment options

Cloud

Integrations

Byron works across the tools CPA firms already use, including email, file storage, accounting systems, Excel, and tax software, and it moves approved data into existing tax engines without manual rekeying. Edits made in Excel flow back into Byron automatically. The platform integrates with accounting platforms such as Canopy and Truss, which embed Byron's capabilities into their own workflows, implying an integration surface beyond a single application.

In practice

A firm rebuilds prior year workpapers by hand every busy season. Byron rolls them forward into a current year Excel workbook with this year's data and requests whatever client information is missing.

Business returns are too complex and review heavy to trust to generic AI. Byron's task specific agents source link every number and gate each step, bringing the CPA back in whenever something needs a human.

Client data arrives as messy PDFs and spreadsheets. Byron extracts and reconciles it, prepares review ready output, and syncs approved data into the firm's existing tax software.

Capability coverage

9.0 / 14 capabilities · 64%

Integrations & Tool CallingWorks across email, file storage, accounting systems, Excel, and tax software, moving approved data into existing tax engines and syncing Excel edits back without rekeying, Byron docs 2026-07-07 Full
Workflow OrchestrationA system of task specific AI agents runs the tax preparation pipeline end to end, from document intake through review ready output, Byron docs 2026-07-07 Full
Knowledge Grounding & RAGExtracts and structures data from client documents and prior year returns and source links every number to its origin, Byron docs 2026-07-07 Full
Human Oversight & GuardrailsNothing exports until the firm reviews, approves, and signs off, with approval gates, and an agent that hits an issue brings the CPA back in before continuing, Byron docs 2026-07-07 Full
Security, Identity & GovernanceDocuments SOC 2 Type II compliance, encryption in transit and at rest, United States based data hosting, role based access controls, and no training on customer data, Byron docs 2026-07-07 Full
Observability & AuditabilityEvery workflow is logged for auditability with source links, confidence scores, and audit trails built into every line, Byron docs 2026-07-07 Full
Memory & State PersistenceRolls prior year returns and workpapers forward and keeps outputs synchronized, but a first class persistent agent memory store is not documented, Byron docs 2026-07-07 Partial
Deployment & Data ResidencyDelivered as cloud with United States based data hosting documented, though no self hosted or on premise option is offered, Byron docs 2026-07-07 Partial
Prebuilt Agents, Templates & PacksShips prebuilt task specific agents for each stage of the tax workflow and works within the firm's existing templates, but not a customizable pack library, Byron docs 2026-07-07 Partial
Triggers & Channel CoverageTriggered by client document intake and engagement events, with coverage centered on the tax preparation workflow, Byron docs 2026-07-07 Partial
Model Flexibility & RoutingUses large language models with tools like Python, but no customer model choice or routing is documented, Byron docs 2026-07-07 Unable to verify
APIs, SDKs & MCP ExtensibilityPartner platforms such as Canopy and Truss embed Byron's capabilities, implying an integration surface, though a public developer SDK or MCP is not documented, Byron docs 2026-07-07 Partial
Testing, Debugging & OptimizationConfidence scores every extracted number and rigorously tests pipeline steps, a domain accuracy check rather than a general agent evaluation harness, Byron docs 2026-07-07 Partial
Browser & Computer UseNo browser or computer use capability is described, Byron docs 2026-07-07 Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Not public; sold to CPA firms through a demo, typically under annual subscription agreements

annual subscription for CPA firms, quoted through sales

Contact onlyMedium variable cost

What is public

No list prices or entry point are published. Byron is demo gated and sold under annual subscription agreements to firms.

Billing mechanics

Presumed annual subscription negotiated with sales, believed to scale with firm size or return volume.

Cost watchouts

Busy season volume can raise effective cost if pricing scales with returns processed.

Variable cost rationale

Scope likely scales with the number of returns, entities, or seats a firm processes, so cost can grow with volume, though pricing is negotiated under annual agreements rather than metered by usage.

Additional watchouts

Confirm how pricing scales with returns, entities, and seats, and how access is provided when reached through partner platforms like Canopy or Truss.

Sales call required

Yes — required for paid access

Free / trial

Demo led evaluation; no public free tier

Key ambiguities

No public anchor for entry price or scope units.

Verified 2026-07-07

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