Forensic
Code Analysis.
R&D tax credits are based on uncertainty, not success. Our engine parses your git history to identify the struggle, failures, and iterations that prove your claim.
> Linking evidence [PR-402, PR-405, Jira-842]...
Compatible with your existing toolchain
The Analysis Pipeline
We convert raw engineering data into a defensible tax narrative through a rigorous 3-step process.
Cognitive Diff Analysis
We analyze the logic change in the diff to understand intent—distinguishing simple refactors from complex concurrency fixes.
Contextual Graphing
We map the relationship between tickets, PRs, and commits to build a timeline of the feature's lifecycle and struggle.
Narrative Construction
We synthesize the struggle found in the code graph into a coherent AIF-ready narrative, linking goals to evidence.
Code volume ≠ R&D.
Most developers write thousands of lines of "routine" code for every one line of "innovative" code. Merging them creates audit risk. We separate them using semantic analysis.
Routine Work (Ignored)
Standard patterns, CRUD operations, UI tweaks.
Qualifying R&D (Flagged)
Uncertainty, novel algorithms, performance optimization.
Audit Defense Ready
Every claim is backed by a digital paper trail linked directly to the source code. We don't just tell HMRC what you did; we show them.
To address the latency issues in the payment gateway, we initially attempted a synchronous processing model.
We resolved this by re-architecting the service to use an event-driven pattern with a dead-letter queue.
The AI is the Analyst.
You are the Judge.
Evidencestack is not a black box that auto-submits to HMRC. That would be reckless. We act as a forensic researcher—digging up facts and presenting a cited draft.
Full Edit Control: You can rewrite, delete, or expand any part of the generated narrative.
Advisor Collaboration: Invite your R&D tax advisor to review the evidence before downloading.
Forensic Extraction
COMPLETEDEngine analyzed 14k commits and identified 3 key technical uncertainties.
Engineer Review
ACTION REQUIREDReview the generated claims. Does this accurately reflect the technical difficulty?
Compliance Sign-off
Final check by tax advisor or finance team.
Built for the entire ecosystem.
R&D tax credits require collaboration between engineering, finance, and external advisors. Evidencestack bridges the gap.
Engineering First
Recover costs without distracting your team. Connect your git repo and let the engine handle the extraction.
Unshakeable Evidence
Differentiate your firm. Defend larger claims with line-by-line technical traceability that holds up to inquiry.
Audit-Proof Forecasting
Gain real-time visibility into R&D eligibility. Stop estimating at year-end and start measuring continuously.
Why LLMs fail at
code analysis.
Generic LLMs hallucinate code, forget context, and pose security risks. Evidencestack is a specialized graph database coupled with forensic agents, built specifically for this task.
Infinite Context Window
We analyze the entire repository history. An LLM sees a file; we see how Feature A in January caused Bug B in March.
Zero-Knowledge Training
We do not train our models on your code. Your IP remains your IP. Analysis runs in ephemeral sandboxes.