ConchoProblem
Business logic is buried
Rules that decide pricing, eligibility, billing, and operations live inside old code instead of clear documentation.
Concho Technology: The Digital Architect
Understand enterprise systems in hours, not months.
Concho reveals the architecture, dependencies and business logic hidden in complex codebases, so you can modernize, migrate and optimize with confidence.
Concho
Digital
Architect
system-atlas.scan
> ingest repository, docs, dependencies
build digital architect - vend validated slices through MCP
// How Concho works
From code to clarity in three simple steps.
Critical software keeps running the business, but the map of how it works is scattered across code, integrations, and a few people. Concho scans the system, understands the hidden logic, and delivers a model teams can trust.
Problem
Knowledge sits with a few people
The people who understand the system are busy, retiring, or no longer available when modernization begins.
Problem
Every change feels risky
Leaders cannot see dependencies, blast radius, or what will break before funding a migration or rewrite.
A map before the modernization.
Concho connects code, rules, workflows, systems, and AI into one validated source of truth.
Concho
Scan
Connect your repositories or systems. Concho securely scans and analyzes the code, documentation, and technical evidence.
Concho
Understand
AI models build a context graph of the architecture, dependencies, workflows, and business logic.
Concho
Deliver
Receive interactive diagrams, reports, and modernization recommendations your team can validate and use.
Concho in the field
Use Cases
Common thread: teams and private equity operators bring Concho the codebases they cannot afford to misunderstand.
20M+ LOC under Concho
Healthcare Platform
- One developer completed a 5-month integration project in 5 weeks
- Critical feature timeline pulled forward by 9 months
- Expanded to 9 systems across the full portfolio
PE portfolio intelligence
Hospitality Platform
- CTO oversees 12 companies with 5-15M LOC each
- Self-serve visibility into portfolio health without interrupting engineers
- Meetings shifted from status updates to strategic direction
Knowledge cliff averted
Medical Coding System
- Lead architect announced retirement from a poorly documented system
- Concho built a comprehensive model in 3 working days
- Team now has an AI guide for life after the architect leaves
// The people behind Concho
Meet the team.
Concho draws on deep experience across healthcare, hospitality, reinsurance, logistics, and private equity — the sectors where legacy systems carry the most risk and the least visibility.
Proven results
Structure you can validate against.
Concho produces queryable outputs that support scoping, API design, risk assessment, migration planning, and technology decisions.
Sample model output from one production system
45
Aggregate Roots
31 merged from multiple sources
23
Bounded Contexts
Maps to 23 proposed microservices
163
Business Rules
95.6% code-derived, not inferred
112
Workflows
73 are multi-step processes
168
Integration Boundaries
42 RPC endpoints, 46 file integrations
190
Implementation Constraints
73 compatibility, 41 architectural
Integration mapped
Medical practice platform
- Untamable codebase from multiple acquisitions
- Concho revealed exact integration points and data flows
- Conversations changed from status updates to fixing the payment stack
Rules extracted in 4 days
Logistics automation system
- 50 years of PICK BASIC stored procedures
- Concho extracted all business rules in 4 days
- First viable migration path in 50 years
FAQ
Claude accelerates coding. Concho accelerates understanding.
Concho is built for modernization foundations: verified, queryable structure that AI tools and executives can trust.
We already bought Claude. Why do we need Concho?
Claude accelerates coding. Concho accelerates understanding by producing a verifiable atlas of complex systems.
Our team produced documentation using AI. Is that the same?
If you cannot query it, validate new code against it, or show a completeness guarantee, you have documents, not a modernization foundation.
Can't we just do the same thing with ChatGPT?
Large-context chat produces plausible text. Concho produces verified system knowledge that distinguishes critical business rules from incidental code.
Customer signal
Bring us your worst system.
Modernization is where Concho is pulled first because uncertainty is existential. Start with the complex, outdated software your team cannot safely ignore.
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Field notes
Field notes on legacy modernization, code knowledge graphs, AI context, and the hidden system intelligence inside critical software.
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