cartographie logicielle

Make code built by your teams and AIs reliable.

1 Import

Import front/back source code

Import the source code of your frontend and backend application.

2 CARTOGRAPHIE LOGICIELLE

Cartographie logicielle

CoreAnalyzer analyse, relie et structure le projet pour produire une cartographie logicielle lisible, vérifiable et réutilisable.

3 Secure exports

Secure exports

Native .CDP, optional JSON, encrypted .CDP.

4 Final purge

Non-retention & final purge

Source files are purged after processing; reports follow the documented retention window for the selected workflow.

TECHNOLOGIE COREDEVPRO™

Control the engine. And the proof.

PROPRIETARY ENGINE

Code analysis is not delegated to an AI model.

CoreAnalyzer runs the analysis with a deterministic proprietary engine. AI agents can use the artifacts afterwards, without replacing the analysis itself.

NON-RETENTION

Source code is not retained.

CoreAnalyzer processes imports temporarily, generates the report, then purges files and reports according to the intended flow.

Incubée par TechForward

EDHEC · EURECOM · Institut Mines-Télécom

accompagnée par NiceStartUp

TechForward

Why CoreAnalyzer?

Powerful engines are often too complex.

The CoreAnalyzer engine turns code analysis into clear, correlated and directly actionable technical proof.

Classic analysis engines
CoreAnalyzer engine
01Start an analysis
Classic analysis engines Installation, rules or integration often required.
CoreAnalyzer engine Import, analyze and read the report without complex setup.
02Understand the result
Classic analysis engines Technical findings that still need interpretation.
CoreAnalyzer engine Clear, prioritized and directly exploitable proof.
03Connect signals
Classic analysis engines Correlation is often manual or limited to an engine scope.
CoreAnalyzer engine Files, routes, dependencies and evidence are connected.
04See the project
Classic analysis engines A rule or security-centered reading.
CoreAnalyzer engine A global view of structure, flows and contextualized alerts.
05Reuse the output
Classic analysis engines Mostly a technical report to consult.
CoreAnalyzer engine Native .CDP, optional JSON and presentation exports.

Useful signals, but often dispersed, technical and slow to turn into decisions.

The CoreAnalyzer engine links evidence, maps context and produces reusable artifacts.

SAI, STATIC APPLICATION INTELLIGENCE

SAI: useful context before AI

Instead of sending the entire raw codebase to an AI model, SAI extracts useful structures, routes, dependencies, file/line evidence and technical relationships. Context becomes shorter, cleaner and directly actionable.

Reduce noise

Only useful technical context is extracted from the project.

Evidence preserved

Each signal stays linked to file, line and application structure.

Structured context

AI agents receive cleaner context, fewer tokens and better grounding.

Use the technical proof

One analysis, three ways to use the evidence.

CoreAnalyzer produces a verifiable foundation whose native .CDP artifact carries a locally verifiable CoreDevPro origin proof.

Classic CoreAnalyzer report view
Classic reportBrowse results, categories, filters and file/line evidence.

OFFRES

Commencez simplement. Montez ensuite au niveau adapté.

RUN lets you try CoreAnalyzer. RACE covers autonomous use. FLY adds advanced workflows. Space covers higher volumes, team constraints and dedicated enablement.

À qui s’adresse l’offre :

Pour les workflows avancés, les exports sécurisés et les usages CLI/CI-CD.

Exports inclus :

.CDP natif, JSON, .CDP chiffré, PDF, HTML, CSV

  • Jusqu’à 100 analyses par mois
  • Projets jusqu’à 50 Mo et 1 projet actif
  • Accès Web, CLI et CI/CD
  • Exports signés, chiffrés et compliance

Essayez CoreAnalyzer

Analyze a project. Get an actionable report.

Try CoreAnalyzer in minutes — no complex integration required.