Discovery tools
Source and dependency analysis, documentation review, workflow observation, and authorized artifact inspection.
Output: an application map with evidence and open questions.Tools & evidence
State-of-the-art AI. Evidence you can check.
We use the latest AI models, coding and analyst agents alongside proven engineering tools — and we show our work. Every claim we make about your application comes with evidence.
Coding & analyst agents
Bounded tasks for implementation drafts, requirement analysis, documentation, and candidate test generation.
Output: reviewable changes tied to a defined task.Validation harnesses
Reference inputs and outputs, held-out acceptance cases, regression checks, and report reconciliation.
Output: observed results and specific mismatches.Built in our lab
ReplicaLens:
our first evidence loop.
The local Python harness orchestrates a scoped Claude Code CLI attempt, artifact inspection using REA and ILSpy, and independent evaluation of a synthetic .NET pricing application.
This is a working internal prototype, not a self-service product or a production-isolated customer assessment environment. Customer work requires an agreed scope and an appropriate isolated environment.
What the experiment established
- Baseline
- 150 of 156 total cases matched
- Minimized resources
- 152 of 156 total cases matched
- Pricing subset
- 144 of 144 in both attempts
- Original compatibility
- 156 of 156 after resource removal
- Experiment limits
- One small synthetic fixture; one attempt per variant
The recommendation standard
Every recommendation
needs a reason to exist.
- Observed exposure
What was actually found, and under which access conditions?
- Specific intervention
Which component, boundary, or resource changes?
- Validation method
What before-and-after comparison would support the claim?
- Product tradeoff
What does it cost in latency, connectivity, usability, or operations?
Free application review
Your customers are already being sold AI. Let’s make sure it’s yours.
Pick one workflow. We’ll show you what an AI-native version looks like, what it would take, and what your app exposes today — free.