Features

Every artifact the IRS asks for, automated.

The Tax-Credit-R&D framework is a three-agent pipeline. Each agent passes structured evidence to the next, so the final narrative can be defended line-by-line in an audit.

Agent 1

4-Part Test Qualification

R&DCredit AI reads every commit, PR, and Jira ticket, then scores the project against each IRS §41 prong. Failed prongs are flagged with citations to the underlying artifacts — no black box.

  • ✓ Technological in nature — STEM-discipline classifier on commit messages, file paths, and language tags.
  • ✓ Eliminating uncertainty — surfaces design docs, spike branches, unresolved RFCs, and PR discussions.
  • ✓ Process of experimentation — reconstructs hypothesis → test → outcome timelines from git history.
  • ✓ Permitted purpose — ties work to a tangible business component (new feature, model, infra primitive).
Sample scoring
Project: Realtime vector indexQUALIFIES
Technological — pass · Uncertainty — pass · Experimentation — pass · Permitted — pass
Project: Marketing site redesignEXCLUDED
Failed prong 1: no STEM discipline tags, no experimentation evidence.
QRE inputs
Qualified wages$8.4M
Supplies (cloud, SaaS, test devices)$420K
Contract research (65% rule)$195K
Foreign research (excluded)-$310K
Funded research (excluded)-$85K
QRE base$8.62M
Agent 2

QRE Calculation

Aggregates qualified wages, supplies, and contract research, then enforces every exclusion in §41: foreign research, funded research, post-production, and the 65% contract cap. Picks the higher of the regular credit (20% over base, 10% AMT offset) or the Alternative Simplified Credit (14%, 6% AMT offset).

  • ✓ Direct integration with Gusto, Rippling, and Workday for wage data.
  • ✓ Time-allocation inference from commit authorship & ticket assignment.
  • ✓ Automatic ASC vs. regular comparison, with the larger amount filed.
  • ✓ Exportable to Form 6765, line-by-line, with citations.
Agent 3

Technical Narrative Writer

Writes the IRS-ready narrative using the chronology assembled by Microsoft RD-Agent and the commit evidence surfaced by CodeClaim. Each paragraph maps to a specific four-part-test prong and cites the underlying ticket, PR, or commit.

  • ✓ Chronology engine — merges Jira sprints, Git history, and onboarding dates into one timeline.
  • ✓ Diff-only evidence — CodeClaim serves relevant diffs, never full source code, so secrets stay safe.
  • ✓ Big-4 reviewed templates — narratives reviewed annually by external tax counsel.
  • ✓ Audit package export — ZIP with PDF narrative, source evidence, and Form 6765 ready for e-file.
Sample narrative excerpt

, "”": Project: Realtime Vector Index. During FY2025, the team faced uncertainty regarding sub-100ms retrieval latency on billion-scale vector sets. Evaluation of HNSW (PR #2418), IVF-PQ (PR #2487), and diskann (PR #2531) constituted a systematic process of experimentation. The resulting business component is a new retrieval engine shipped as v3.2.”

— cites PRs #2418, #2487, #2531, tickets ENG-1402, ENG-1499
Integrations

Connects to the tools you already use.

GitHub & GitLab

CodeClaim streams diffs — we never store full source code.

Jira & Linear

Tickets provide the chronology and uncertainty resolution artifacts.

Gusto, Rippling, Workday

Direct feeds for qualified wage allocation and contractor splits.

AWS, GCP, Azure

Cloud spend categorized into qualified supplies vs. excluded.

Microsoft RD-Agent

Provides the chronological backbone for every narrative.

CodeClaim

Diff-only evidence pipeline — auditor sees diffs, never secrets.

See it run on your codebase.

Connect GitHub and Jira. We'll generate a no-cost R&D credit estimate against your last fiscal year.

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