# Leapforge

*/Startups/Leapforge*

## Startup Overview

This on-premise refactoring engine maps legacy monolithic dependencies and extracts them directly into isolated microservice repositories. It traces deep code entanglements, identifies distinct domain boundaries, and generates self-contained service codebases.

Enterprise engineering teams manage intertwined monolithic applications where single code changes risk cascading system failures. Manual code rewrites demand years of dedicated engineering cycles, stalling new feature development and compounding technical debt.

Unlike cloud-dependent tools like vFunction or Moderne, the system deploys entirely behind the corporate firewall to keep proprietary source code strictly internal. Its extraction engine guarantees deterministic output, producing predictably structured microservices without relying on probabilistic generation or manual intervention.

## Startup Founding Hypothesis

**Approach**: that maps legacy monolith dependencies into isolated microservice repositories
**Competitors**:
- [Manual Code Rewrites](/Competitors/Manual_Code_Rewrites)
- [vFunction](/Competitors/vFunction)
- [Moderne](/Competitors/Moderne)
**Differentiator2x2**: deterministic in output and deployed entirely on-premise

## Startup Solution Coordinate

**Solution**: [Monolith Decomposer](/Software/Monolith_Decomposer)

## Startup Position2x2

```mermaid
quadrantChart
title Market Positioning
x-axis Cloud SaaS --> Entirely On-Premise
y-axis Heuristic & Manual --> Deterministic Output
quadrant-1 Automated On-Prem
quadrant-2 Automated Cloud
quadrant-3 Manual Cloud
quadrant-4 Manual On-Prem
Manual Code Rewrites: [0.9, 0.2]
vFunction: [0.4, 0.4]
Moderne: [0.2, 0.8]
Leapforge: [0.85, 0.85]
```

## Startup Offer

**Proof**:
- Targeting enterprise banking teams seeking to isolate legacy mainframe logic without cloud exposure
- Aiming to reduce the architectural discovery phase for 5M+ LoC Java monoliths from months to weeks
- Designed to deliver zero-hallucination dependency maps for regulated defense and healthcare contractors
**Tiers**:
- Name: Monolith Pilot · Price: ~$15k–$30k flat · Inclusions: Mapping for a single legacy application repository (up to 2M lines of code) with deterministic dependency extraction and architectural cut proposals.
- Name: Department License · Price: ~$60k–$90k/yr · Inclusions: On-premise deployment for up to 5 monolith repositories (up to 10M lines of code total), including visual boundary-tuning and continuous extraction.
- Name: Enterprise Fleet · Price: ~$120k–$200k/yr · Inclusions: Unlimited repository scanning and extraction across the organization, complete with custom proprietary library configurations and dedicated architect support.
**Guarantee**: If the initial scan fails to map your monolithic dependencies into clean, bounded contexts within 14 days, the pilot fee is fully refunded.
**Business Function**: ProvideService
**Objection Handlers**:
- On-premise deployment is too heavy to install: Designed as a self-contained appliance that runs on your internal infrastructure with zero external network calls.
- AI code tools usually hallucinate dependencies: Relies primarily on deterministic static analysis, restricting AI models strictly to naming and summarization of verified code paths.
- We use proprietary legacy libraries: The mapping engine exposes configuration rules designed to let you define and categorize internal libraries before extraction begins.
- The proposed cuts will be wrong: Delivers a visual boundary-tuning interface allowing enterprise architects to manually adjust module borders before any code is generated.
**Pricing Architecture**: Tiered

## Startup Brand

**Voice**: Authoritative and clinical, emphasizing deterministic precision over developer hyperbole.
**Tagline**: Extract isolated microservices from legacy on-premise monoliths.
**Icon Concept**: scalpel
**Palette Intent**: institutional-cool
**Visual Identity**: Monospaced typography pairs with a stark slate and frost-blue palette to communicate deterministic, air-gapped security.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Leapforge → Enterprise Engineering Leadership → Software Architects
**Gtm Motion**: Acquisition relies on direct technical sales to engineering leaders managing legacy modernization budgets, starting with an on-premise proof-of-concept to map a single monolithic application. Expansion occurs as the organization licenses the tool to decompose additional legacy codebases across their wider enterprise portfolio.
**Agent Channel**: Designed to list its architectural extraction APIs within the Model Context Protocol (MCP) ecosystem and LangChain tool directories, enabling autonomous coding agents to discover and invoke deterministic dependency maps during automated refactoring workflows.
**Primary Channel**: High-intent enterprise search and technical content marketing targeting specific architectural queries (such as 'on-premise monolith decomposition tool' or 'deterministic legacy codebase mapping'), leading system architects directly to technical documentation and sandbox requests.

## Startup Customer Journey

```mermaid
flowchart LR; A[Architecture Docs] --> B[Sandbox Environment]; B --> C[Pilot Appliance]; C --> D[Monolith Dependency Map]; D --> E[Department License]; E --> F[Boundary Tuning Interface]; F --> G[Enterprise Portfolio]; G --> H[Reference Architecture];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 14-day single-repository pilot (up to 2M lines of code) targeting the successful delivery of a complete, verifiable dependency map and architectural cut proposal.
- 30-day department-level pilot on up to 5 monoliths targeting the successful implementation of custom proprietary library configurations across multiple codebases without network egress.
**Target Metrics**:
- Target: 100% deterministic dependency extraction with zero AI-hallucinated code paths.
- Aim: Reduce the architectural discovery phase for 5M+ LoC monoliths from 6 months to 14 days.
- Target: 0 external network calls required during the scanning and boundary-tuning process.
**Target Case Studies**:
- Targeting a large retail bank Enterprise Architect to demonstrate isolating legacy mainframe logic into clean, bounded contexts entirely on-premise without cloud exposure.
- Targeting a healthcare technology VP of Engineering to validate reducing the architectural discovery phase for a 5M+ line-of-code Java monolith from multi-month projects down to a 14-day extraction.
- Targeting a defense contractor Chief Architect to prove the generation of zero-hallucination dependency maps that correctly categorize proprietary legacy libraries using deterministic static analysis.
**Testimonial Targets**:
- Enterprise Architect: Expressing relief that the visual boundary-tuning interface allows manual adjustment of module borders before any extraction code is generated.
- Chief Information Security Officer: Confirming total confidence in the security of the self-contained appliance that maps dependencies entirely on internal infrastructure.
- VP of Engineering: Highlighting satisfaction that the deterministic mapping engine accurately categorized their highly specific, undocumented proprietary libraries.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: The deterministic dependency mapping algorithm fails to parse highly coupled, undocumented legacy spaghetti code, rendering the extracted microservice boundaries unusable. · Mitigation Status: unmitigated
- Severity: high · Description: Enterprise sales cycles for on-premise core infrastructure modernization exceed 18 months, draining capital runway before closing initial anchor deals. · Mitigation Status: in-progress
- Severity: high · Description: Strict on-premise deployments prevent product telemetry collection, severely bottlenecking the parsing engine's ability to improve across different enterprise environments. · Mitigation Status: unmitigated
- Severity: moderate · Description: Incumbents like vFunction release fully on-premise, deterministic versions of their existing extraction tools to block Leapforge from entering highly regulated accounts. · Mitigation Status: in-progress
- Severity: moderate · Description: Client engineering teams lack the DevOps maturity to manage and operate the newly isolated microservices, leading to deployment failures and eventual churn. · Mitigation Status: in-progress

## Startup Competitors

- [Manual Code Rewrites](/Competitors/Manual_Code_Rewrites) — Status Quo
- [vFunction](/Competitors/vFunction) — Architecture Modernization
- [Moderne](/Competitors/Moderne) — Automated Refactoring
- [CAST Imaging](/Competitors/CAST_Imaging) — Legacy Visualization
- [AWS Microservice Extractor](/Competitors/AWS_Microservice_Extractor) — Cloud Ecosystem

## Startup Solution Stack

- [Microservice Extraction Service](/Services/Microservice_Extraction_Service) — Service-as-Software
- [Dependency Mapping Agent](/Agents/Dependency_Mapping_Agent) — Agent
- [Code Isolation Worker](/Agents/Code_Isolation_Worker) — Agent
- [Deterministic Parsing Engine](/Software/Deterministic_Parsing_Engine) — Software
- [On-Premise Deployment SDK](/Software/On-Premise_Deployment_SDK) — Software

## Startup Story Brand

**Hero**:
- **Need**: to lead a modernization effort that actually ships, not one that stalls in discovery
- **Want**: to decompose legacy Java monoliths into isolated microservices without cloud exposure
- **Identity**: the enterprise architect at a regulated banking or defense firm
**Plan**:
- Step: Scan · Detail: Run the on-premise appliance against your legacy repository to index every internal library and dependency.
- Step: Review · Detail: Adjust the visual boundary-tuning interface to finalize the specific module borders for your new microservices.
- Step: Extract · Detail: Generate isolated repositories containing the extracted logic and its verified dependency tree.
**Guide**:
- **Empathy**: Architecture wins are won in the first 14 days — but legacy monoliths usually bury those wins in months of manual code reviews.
**Problem**:
- **Villain**: architectural sprawl
- **External**: Manually mapping dependencies across 5M lines of code in a legacy repository takes months of detective work and error-prone spreadsheets.
- **Internal**: You feel paralyzed by the risk of breaking critical mainframe logic you didn't know was intertwined.
- **Philosophical**: Why should technical debt accept permanent residency when deterministic extraction is possible?
**Success**: You deliver isolated, deployable microservices and reduce architectural discovery from months to two weeks with verified dependency maps.
**One Liner**: Every quarter, enterprise architects stall on legacy codebases. Leapforge automates on-premise dependency mapping so teams can extract isolated microservices in weeks.
**Positioning**:
- **So That**: isolate microservices on-premise without cloud security risks
- **Unlike**: Manual Code Rewrites or vFunction
- **For Whom**: enterprise architects in regulated industries
- **Category**: Automated Legacy Decomposition Service
**Call To Action**:
- **Direct**: Book a Monolith Pilot
- **Transitional**: Download sample extraction report
**Failure Stakes**:
- Continued maintenance of brittle monoliths
- Failed modernization audits
- Developer attrition due to legacy toil
**Transformation**:
- **To**: shipping isolated microservices instead of managing legacy monoliths
- **From**: a systems archaeologist digging through 10M LoC
**Controlling Idea**: Deterministic extraction is the only way to modernize regulated legacy systems.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every quarter, enterprise architects stall on legacy codebases. Leapforge automates on-premise dependency mapping so teams can extract isolated microservices in weeks.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 9843b0c88e4cfd98

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Automated Legacy Decomposition Service for enterprise architects in regulated industries. Unlike Manual Code Rewrites or vFunction — isolate microservices on-premise without cloud security risks.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: b8c301ed86f96c04

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Manually mapping dependencies across 5M lines of code in a legacy repository takes months of detective work and error-prone spreadsheets.
Solution: Every quarter, enterprise architects stall on legacy codebases. Leapforge automates on-premise dependency mapping so teams can extract isolated microservices in weeks.
Customer: enterprise architects in regulated industries
Unlike: Manual Code Rewrites or vFunction
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: b807be06d7bcfc6a

## Startup Token M E D D P I C C

**Pain**: Manually mapping dependencies across 5M lines of code in a legacy repository takes months of detective work and error-prone spreadsheets.
**Metrics**: Target: You deliver isolated, deployable microservices and reduce architectural discovery from months to two weeks with verified dependency maps.
**Rendered**: Pain: Manually mapping dependencies across 5M lines of code in a legacy repository takes months of detective work and error-prone spreadsheets.
Economic buyer: Enterprise Engineering Leadership
Metrics: Target: You deliver isolated, deployable microservices and reduce architectural discovery from months to two weeks with verified dependency maps.
Competition: Manual Code Rewrites or vFunction
**Mechanism**: spine-derived-v1
**Competition**: Manual Code Rewrites or vFunction
**Economic Buyer**: Enterprise Engineering Leadership
**Vocab Fingerprint**: 73be39ba249b1469

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Automated Legacy Decomposition Service for enterprise architects in regulated industries

enterprise architects in regulated industries — Manually mapping dependencies across 5M lines of code in a legacy repository takes months of detective work and error-prone spreadsheets. Every quarter, enterprise architects stall on legacy codebases. Leapforge automates on-premise dependency mapping so teams can extract isolated microservices in weeks.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 4e5a83b852e01293

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Automated Legacy Decomposition Service. Every quarter, enterprise architects stall on legacy codebases. Leapforge automates on-premise dependency mapping so teams can extract isolated microservices in weeks. Serves enterprise architects in regulated industries.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 969726fa37af78e2

## Neighborhood

### Candidate solutions

- [Showroom Sample Tracking](/Problems/Showroom_Sample_Tracking) — candidate solution for · Problems

### Composed of

- [On-Premise Deployment SDK](/Software/On-Premise_Deployment_SDK) — composes · Software
- [Microservice Extraction Service](/Services/Microservice_Extraction_Service) — composes · Services
- [Dependency Mapping Agent](/Agents/Dependency_Mapping_Agent) — composes · Agents
- [Code Isolation Worker](/Agents/Code_Isolation_Worker) — composes · Agents
- [Deterministic Parsing Engine](/Software/Deterministic_Parsing_Engine) — composes · Software

### Competitors

- [Moderne](/Competitors/Moderne) — competes with · Competitors
- [Manual Code Rewrites](/Competitors/Manual_Code_Rewrites) — competes with · Competitors
- [vFunction](/Competitors/vFunction) — competes with · Competitors
- [CAST Imaging](/Competitors/CAST_Imaging) — competes with · Competitors
- [AWS Microservice Extractor](/Competitors/AWS_Microservice_Extractor) — competes with · Competitors

### Embodies

- [Software](/Theses/Software) — embodies · Theses

### What it offers

- [Monolith Decomposer](/Software/Monolith_Decomposer) — offers · Software

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