See how your system really works
A visual map of your code's most important building blocks that unlocks AI's real potential. Cheap, regular scans keep it up to date and predictable, helping product teams see connections, generate complete docs and deliver faster with confidence.
How It Works
Noesis automates the process of understanding system architecture in four simple steps
Select your repositories
Point Noesis to the codebase you want to explore.
Define conventions with DSL
Specify your architectural rules and conventions in a lightweight domain-specific language.
Run deterministic static analysis
Noesis scans the code using static analysis and generates a repeatable map of the system's essential building blocks.
Use the map in multiple ways
Navigate, document, and integrate with AI for comprehensive system understanding.
Multiple Ways to Use Your System Map
Noesis UI
Navigate interactively through AI-described modules, entry points, and key components to visually explore their connections and analyze your system.
Documentation
Export Noesis map content to clear, static documentation - share it with clients or integrate with your internal wiki.
AI Integration
Expose the map or documentation to AI agents for more meaningful, context-aware conversations.
Real-World Applications
Noesis transforms how teams approach complex software challenges. Discover how our platform addresses critical scenarios in modern software development and delivery.
Project Takeover
Accelerate onboarding when taking over existing projects. Noesis provides instant visibility into system architecture, dependencies, and business logic, reducing ramp-up time from weeks to days.
Delivering Documented Software
Deliver comprehensive documentation alongside your software. Generate up-to-date system documentation automatically, ensuring clients receive complete technical and business context.
Architecture Audit/Review
Conduct thorough architecture reviews with complete system visibility. Identify technical debt, dependency issues, and optimization opportunities through visual analysis.
Requirements Preparation
Bridge technical and business requirements with clear system understanding. Translate complex technical constraints into business-friendly documentation for stakeholders.
Refactoring Planning
Plan refactoring initiatives with confidence. Understand impact analysis, identify dependencies, and create safe migration strategies with comprehensive system mapping.
Knowledge Transfer
Facilitate smooth knowledge transfer between team members. Create living documentation that evolves with your codebase, ensuring institutional knowledge is preserved.
Reliable Foundation, Smart AI Usage
Our deterministic static analysis creates precise system maps without AI, providing a solid foundation. This reliable approach allows you to use AI intelligently and efficiently only where it adds real value - giving you full control over costs and quality.
Precise System Map Creation
Static code analysis extracts complete system map structures according to the P3 model - encompassing Domain, Technology, People perspectives and their relationships with mathematical precision. P3 focuses on the most essential concepts in software development and system architecture, making system understanding easier and more accessible.
AI-Enhanced Element Descriptions
Once the system map structure is established, AI generates contextual descriptions for map elements. These descriptions leverage deterministic relationships to provide deeper insights into system components and their roles, making them understandable for both business stakeholders and development teams.
Comparable & Repeatable Analysis
Code can be scanned multiple times with consistent, comparable results. Our deep, comprehensive analysis is fully repeatable - allowing you to track architectural changes over time and compare results across different scans. This systematic approach sets us apart from AI-only competitors.
Cost-Optimized AI Usage
Critical analysis fragments are processed using inexpensive static code analysis, avoiding expensive AI costs. AI is applied selectively only where it adds value, giving you full control over costs while maintaining intelligent insights.
Pricing
On-premise deployment - your code never leaves your infrastructure. Pricing based on your codebase size. No hidden fees, no surprises.
Real Savings, Real Results
Stop wasting time and money on manual documentation. Noesis delivers comprehensive system knowledge at a fraction of the cost and time of traditional approaches.
Traditional Manual Approach
Time Investment
Cost Breakdown
Pain Points
- • Documentation quickly becomes outdated
- • High risk of human error
- • Difficult to maintain consistency
- • Time-consuming manual updates
Noesis Automated Solution
Time Investment
Cost Breakdown (for 200k LOC repository)
Benefits
- • Always up-to-date documentation
- • Zero human error in analysis
- • Consistent, structured output
- • Instant updates with code changes
- • Hosted by clients - no infrastructure costs
Your Annual Savings
ROI: 600-1300% - Your investment pays for itself in just 1-2 months
Research Sources & Methodology
Documentation Costs & Developer Rates:
- • GitLab State of DevOps Report 2024: "5,000+ DevSecOps professionals surveyed"
- • Stack Overflow Developer Survey 2024: "65,437 developers from 185 countries"
- • GitHub State of the Octoverse 2024: "Developer productivity and tool adoption trends"
- • Senior C# Developer rates: €80-100/hour in Europe (2024)
- • LLM costs: €5-10/100k LOC initial, €1-2.5/100k LOC monthly (2025)
ROI & Savings Analysis:
- • JetBrains State of Developer Ecosystem 2024: "Developer tool adoption and productivity"
- • SlashData Developer Economics 2024: "Developer productivity and compensation analysis"
- • Microsoft Research 2024: "Software maintenance and documentation costs"
- • Calculation basis: 200k LOC repository, client-hosted infrastructure
FAQ
Can Noesis handle multiple repositories for my libraries and microservices?
Absolutely! Noesis seamlessly scans multiple repositories and creates a unified, consistent model that gives you a complete view of your entire system architecture.
Does it hallucinate like other AI tools?
No. We build answers from deterministic code graphs first, then enrich with AI, so every fact is traceable.
Isn't it easy to replace Noesis with pure AI-based solution?
Pure AI solutions struggle with determinism and cost efficiency. LLMs can't guarantee consistent, repeatable results across multiple scans, and using them for repetitive code analysis becomes prohibitively expensive. Noesis combines deterministic static analysis with selective AI enhancement, ensuring reliable results at a fraction of the cost while maintaining full traceability of every architectural insight.
Is my code safe?
Absolutely. Currently we primarly support the on‑prem deployment model; your code never leaves your environment.
Our Founders
Marcin Markowski
Co-founder
Entrepreneur and seasoned software architect, consultant and trainer with deep knowledge of Domain Driven Design and .NET technologies. Focused on delivering high-quality solutions through efficient development practices.
Szymon Janikowski
Co-founder
Experienced software engineer, analyst and architect with strong background in Java technologies and system design. Passionate about thorough domain analysis and understanding business context before implementing technical solutions.
Łukasz Szydło
Co-founder
Renowned speaker, trainer and consultant with extensive experience in software architecture and JVM technologies. Expert in conducting technical audits, establishing effective development practices and building high-performing teams. Passionate about clear technical documentation and knowledge sharing.
Knowledge is power and Noesis is here to put it at your fingertips.
Be part of the future of software development! We're building Noesis to revolutionize how teams understand and navigate complex systems and their codebases. If you see the power of instant insights, automated visualizations, and deep system analysis, we need you in our community!