R&D Ledger is not affiliated with or endorsed by Onshore (formerly SPRX). This independent comparison is based on publicly available information and is provided for educational purposes.
Last competitor information verified: August 2026
Note: The SPRX domain (sprx.tax) currently resolves to Onshore’s website (onshore.com). This page uses the current official brand, Onshore, to describe the provider’s current offering. Buyers should verify the current brand and offering directly with the provider.
Businesses evaluating automated R&D tax credit options may encounter Onshore, which combines AI agents with credentialed tax professionals. This page provides an independent comparison of Onshore’s publicly described model and the year-round internal documentation approach represented by R&D Ledger. For a broader framework, see our page on how to choose an R&D tax credit provider.
What Onshore Publicly Offers
According to Onshore’s current website (onshore.com), Onshore provides R&D tax credit services using AI agents and credentialed tax professionals. The website describes a three-step process: connect or drop documents, AI agents process the data against the full tax code, and experts verify and deliver the audit-ready package.
Onshore’s website describes its model as "AI speed. Human judgment." — AI agents read every line of data, and a credentialed tax professional reviews everything before filing. The website states that Onshore integrates with systems including John Deere, Climate FieldView, Deltek, QuickBooks, and ConnectWise.
Onshore’s website describes industry-specific AI models for agriculture, architecture and engineering, manufacturing, and oil and gas. The website states that Onshore has served 500+ companies, delivered $600M+ in tax incentives, and has a 2–3 week average turnaround. The website describes SOC 2 Type II compliance and a contingent-fee model (a share of what is recovered, with a free assessment).
Provider and Engagement Model
Onshore describes itself as a hybrid AI-plus-expert service provider. According to its website, the model involves AI agents processing data and credentialed tax professionals verifying and delivering results. The website states that a credentialed tax professional reviews every number and signs off before filing, and that the software does the legwork while a real expert owns the account.
Onshore’s pricing model, as described on its website, is a contingent fee: the assessment is free, and if credits are found, the fee is a share of what is recovered.
How the Process Appears to Work
According to Onshore’s website, the process involves three steps: (1) connect systems or drop documents, (2) AI agents read everything against the full tax code and surface every dollar earned, and (3) a credentialed tax professional verifies, amends returns, and delivers the audit-ready package.
Documentation Approach
Onshore’s documentation approach, as described on its website, involves AI agents processing data and producing an audit-ready package that includes forms, calculations, and source files. The website states that every filing ships as a complete packet, sealed and ready, and that the documentation is designed to hold up under examination.
Role of Software
Software is central to Onshore’s model. According to its website, AI agents read every line of data against the full tax code. The website describes industry-specific AI models and integrations with existing business systems. The software does the data processing, with human verification before filing.
Role of Human Professionals
Human professionals are integral to Onshore’s model. According to its website, a credentialed tax professional reviews every number, signs off before filing, owns the account, and answers the phone. The website states that the software does the legwork but a real expert owns the account.
Year-Round vs. Study Considerations
Onshore describes a process with a 2–3 week turnaround, which appears oriented toward a study or engagement cycle rather than continuous year-round documentation by the internal team. Year-round internal documentation, as represented by R&D Ledger, involves the business’s own team organizing project, technical, cost, and evidence records throughout the year for professional review. For more on this distinction, see our page on year-round R&D documentation vs. annual study.
What a Buyer Should Compare
A buyer evaluating Onshore against year-round internal documentation software may consider:
- AI-plus-expert vs. documentation-first: Onshore combines AI agents with credentialed tax professionals. Does the buyer want a provider that processes data and files the claim, or does the buyer want to organize records internally for its own CPA?
- Industry models: Onshore describes industry-specific AI models for agriculture, architecture/engineering, manufacturing, and oil and gas. Does the buyer’s industry align?
- Turnaround: Onshore describes a 2–3 week average turnaround. Does the buyer want a fast engagement cycle or continuous year-round documentation?
- Contingent fee: Onshore describes a share-of-recovery fee model. How does this align with the buyer’s preference?
- System integrations: Onshore describes integrations with specific business systems. Does the buyer use those systems?
For a broader comparison, see our page on R&D tax credit software vs. consultant.
When Onshore’s Model May Make Sense
Onshore’s model may make sense for a business that:
- wants a provider that processes data with AI and has credentialed tax professionals verify and file;
- operates in an industry Onshore serves, such as agriculture, manufacturing, or oil and gas;
- wants a fast engagement cycle with a contingent-fee structure;
- uses business systems that Onshore integrates with; and
- prefers the provider to handle the claim end-to-end.
When Year-Round Internal R&D Tracking May Make Sense
Year-round internal R&D documentation may make sense for a business that:
- wants to organize project, technical, cost, and evidence records throughout the year internally;
- already has a CPA who handles filing and needs organized records to support that work;
- prefers continuous documentation rather than a study-cycle engagement; and
- wants a documentation workspace that is not tied to a specific provider engagement.
For more, see our page on best R&D tax credit software.
Can the Two Approaches Coexist?
A business could maintain year-round project and evidence records in a documentation workspace and also engage a provider like Onshore for the claim process. The internal records could supply organized project, cost, and evidence data to support the provider’s AI processing and expert review. The two approaches are not mutually exclusive: a business might use internal documentation for ongoing recordkeeping and a provider for the claim computation and filing.
Questions to Ask Before Choosing
- Does the business want a provider that processes data and files the claim, or does it want to organize records for its own CPA?
- Does the business operate in an industry the provider serves with specific AI models?
- How does the contingent-fee model align with the business’s preferences?
- Does the business use systems that the provider integrates with?
- What is the expected turnaround, and how does it fit the business’s filing timeline?
Key Takeaway
Onshore (the current brand associated with the SPRX domain) is a hybrid AI-plus-expert provider that processes data with AI agents and has credentialed tax professionals verify and file R&D tax credit claims, with industry-specific models and a contingent-fee structure. Year-round internal R&D documentation, as represented by R&D Ledger, involves the business’s own team organizing project, technical, cost, and evidence records throughout the year for professional review. The two approaches differ in who processes the data and files the claim, and a buyer’s choice depends on its preference for provider involvement and internal documentation. For more on choosing a provider, see our page on how to choose an R&D tax credit provider.