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Boast.ai Review 2026: R&D Tax Credits, Pricing, Integrations, and Coverage

Last Updated: 23 May 2026

Our take

Best for: North American software and tech companies

Strengths

  • Hybrid model combining AI automation with in-house tax experts

Limitations

  • Percentage-based fees may be costly for very large claims

Top summary

FeatureDetails
Product/vendorBoast.ai
Main categoryExpense management (R&D tax credit automation)
Best forNorth American software and tech companies
Not ideal forMassive enterprises with exceptionally large tax credit returns
Pricing visibilityQuote-based
Starting price$0 for AuditShield add-on; base fee is a contingency percentage
Key strengthsHybrid model combining AI automation with in-house tax experts
Key limitationsPercentage-based fees may be costly for very large claims
Evidence confidence75/100
Last verifiedMay 2026

Editorial verdict

Boast.ai is an expense management and tax automation platform focused strictly on securing R&D tax credits for businesses in the United States and Canada. [02] [03] [04] The platform differentiates itself by combining automated data ingestion from project management and financial tools with in-house specialized tax experts, ensuring both streamlined claim preparation and comprehensive audit defense. [21]

The vendor is best suited for SMB and midmarket software companies seeking a hands-off approach to capturing non-dilutive innovation capital. [23] Boast natively integrates with widely used operational systems—such as Jira, Gusto, and Rippling—to automatically identify qualifying research activities, minimizing the manual effort typically required by traditional accounting firms. [09] [10] [13]

Buyers should note that Boast.ai operates on a contingency fee model. [26] While this structure eliminates upfront costs, third-party sources estimate the success fee ranges from 15% to 25% of the claimed credit. [27] For large enterprises with substantial R&D operations yielding highly valuable claims, this percentage-based approach may result in significantly higher overall costs compared to flat-fee alternatives. [07] [22]

Quick facts

FactDetail
VendorBoast.ai [01]
Founded2011 [01]
HeadquartersUS [01]
Ownership statusPrivate [01]
Customer count~1700 [01]
Main use casesR&D tax credit automation, SR&ED claims, Audit defense [02] [25]
Pricing modelQuote-based contingency fee [26]
Main marketsNorth America [23]
ComplianceSOC 2 Type II [08]

What is Boast.ai?

Boast.ai is a cloud-based expense management platform designed to automate the complex process of claiming Research and Development (R&D) tax credits. [02] [25] Rather than functioning as a core HRIS or payroll system, Boast.ai integrates with a company's existing technical, financial, and HR tools to automatically track and calculate Qualified Research Expenses (QREs). [02]

The platform connects to systems like GitHub, Jira, and Slack to aggregate evidence of innovation, pairing this AI-driven data collection with oversight from an in-house team of tax specialists. [11] [13] [20] Boast.ai provides services mapping specifically to US Internal Revenue Code Section 41 and Canadian SR&ED credits. [03] [04]

Who is Boast.ai best for?

Best for

  • North American software and tech companies: Boast seamlessly connects with development tools and HRIS platforms to automatically track qualifying R&D activity for growing software organizations. [23]
  • SMBs: The platform alleviates the need for deep internal tax documentation bandwidth, allowing smaller companies to access capital without extensive finance teams. [05]

Good fit for

  • Midmarket organizations: The platform is built to handle the enterprise-scale data volumes typical of midmarket operations and multi-entity structures. [06]

Not ideal for

  • Massive enterprises with exceptionally large claims: Because Boast relies on a percentage-based contingency fee, organizations running substantial R&D operations may find the service significantly more expensive than fixed-fee alternatives. [07] [22]

Buyers should verify first

  • Exact contingency rates: The vendor does not publish exact percentage fees publicly; buyers should verify the specific rate quoted for their expected claim size. [26]

Products and modules

Boast AI Platform

The core Boast AI Platform (also referred to as the R&D Tax Credit Platform) is a cloud-based solution that automates data collection, activity identification, and documentation generation for tax credits. [25] It is designed to minimize the time technical teams spend on manual claim preparation while maximizing financial returns through continuous data ingestion. [05]

Pricing

Boast.ai uses a value-based, contingency pricing model tied directly to the value of the tax credit delivered. [26] Note: Because exact percentage rates are not published publicly by the vendor, buyers must undergo a sales conversation to receive a precise quote. [26]

  • Base fee: The vendor quotes exact fees individually based on the engagement. [26] According to third-party industry intelligence and accounting partners, this success fee is estimated to range from 15% to 25% of the claimed R&D credit amount. [27]
  • Audit defense: Comprehensive audit defense (AuditShield), which includes IRS or CRA representation, is included in every Boast engagement at no additional cost ($0). [28]

Region and country coverage

Boast.ai provides native support for R&D tax credit programs in North America. [03] [04]

Region/CountryCapabilityCoverage TypeEvidenceSource
United StatesUS Section 41 R&D tax creditsNativeVerified[03]
CanadaSR&ED tax creditsNativeVerified[04]

Integrations

Boast.ai connects natively to a wide variety of HR, payroll, accounting, and productivity platforms to pull the data required for tax credit validation. [09] [10] [11] [17]

IntegrationCategorySupport LevelEvidenceSource
RipplingHRISNativeVerified[09]
GustoPayrollNativeVerified[10]
WorkdayHRISNativeVerified[15]
ADPPayrollNativeVerified[16]
NetSuiteAccountingNativeVerified[17]
QuickBooksAccountingNativeVerified[18]
SlackCommunicationNativeVerified[11]
Microsoft TeamsCommunicationNativeVerified[12]
JiraProductivityNativeVerified[13]
AsanaProductivityNativeVerified[14]

Security and compliance

Boast.ai maintains security protocols designed to protect sensitive financial, technical, and employee data ingested from third-party systems.

  • Certifications: The vendor lists SOC 2 Type II certification. [08]
  • Data Protection: The vendor states that it utilizes enterprise-grade encryption across its platform. [08]

Implementation and support

Boast.ai provides dedicated human oversight alongside its automated platform.

  • Dedicated expertise: The vendor provides an in-house technical team that acts similarly to a dedicated customer success setup. This team proactively checks in to ensure all federal and state credit opportunities are captured. [20]
  • Audit representation: If a claim is examined, Boast's expert team represents the client throughout the entire IRS or CRA audit process. [20]

Pros and cons — Pros

ProWhy it mattersEvidenceCaveat
AI and Human Expert HybridCombines automated data ingestion from technical tools with in-house tax experts, reducing manual work while ensuring compliance.Verified [21]None

Pros and cons — Cons

ConWhy it mattersEvidenceCaveat
Pricing Scaling for Large ClaimsPercentage-based contingency fees scale directly with the refund size, making it potentially cost-prohibitive for massive enterprises.Verified [22]Based on third-party competitive analysis.

Buyer checklist

Before engaging Boast.ai, organizations should verify the following:

  • Confirm exact contingency percentages: Ask for the specific percentage fee that will apply to your expected claim size.
  • Validate integration depth: Ensure your specific configurations of Jira, GitHub, or your HRIS are supported for automated data extraction.
  • Confirm audit defense terms: Verify the exact scope of the included AuditShield program and whether any extreme scenarios incur extra fees.

FAQ

Evidence audit

MetricStatus
Overall page confidence score75/100
Number of sources14
Number of vendor-owned sources8
Number of third-party sources6
Strongest evidence areasNative integrations, region coverage, and compliance
Claims buyers should verifyExact contingency pricing percentage for their organization
Publication readinessGood page with caveats regarding third-party pricing estimates; suitable for publication.

How we reviewed this article:

We review vendor pages regularly and update them as pricing, coverage, and capabilities evolve.

Current VersionMay 24, 2026
Written ByHR.software Editorial Team