Seed stage · Legacy system intelligence

Every Legacy System
Has a Story.

Stratum AI reconstructs decades of software evolution into an interactive knowledge graph, making the world's most complex codebases understandable again.

Join Beta TestCOBOL · Java · C++ · .NET · PL/SQL · Mainframe
120M+
LOC analyzed
18,400
Repos indexed
92M
Dependencies
99.4%
Recon. accuracy

01 / Pipeline

How the reconstruction pipeline runs

01

Repository Import

git · svn · perforce · tarball

02

Code Parsing

AST · CFG · symbol resolution

03

Knowledge Graph Generation

entities · edges · embeddings

04

Architecture Reconstruction

layers · modules · boundaries

05

Behavior Analysis

traces · invariants · rules

06

Interactive Exploration

query · diff · simulate

02 / Platform

Six capability modules on one graph

arch.discoveractive

Architecture Discovery

Infers layers, bounded contexts and module boundaries from source, build files and runtime traces.

7

layers

412

modules

dep.graphactive

Dependency Intelligence

Resolves static, dynamic and configuration-level dependencies across languages and repositories.

92M

edges

138

cycles

logic.extractactive

Business Logic Recovery

Recovers undocumented rules embedded in decades-old procedures and translates them to specifications.

6,240

rules

88%

coverage

history.replayactive

Historical Evolution

Replays commit history to expose architectural drift, ownership shifts and abandoned subsystems.

1.4M

commits

23 yrs

span

impact.traceactive

Impact Analysis

Traces the blast radius of any change through call hierarchies, data flows and service contracts.

12

hops

5,700

services

migrate.planactive

Migration Planning

Sequences decomposition and cutover strategies with risk scoring on every extracted component.

9

waves

low

risk

03 / Explorer

One interactive model of the whole system

stratum · core-banking · main@a7f3c21graph synced
gatewayrouterledgerpostingclearingauthbatchreporting
−100%+

04 / Scale

Operating telemetry across indexed estates

120M+

live

Lines of code analyzed

18,400

live

Repositories indexed

92M

live

Dependency relationships

5,700

live

Microservices discovered

99.4%

live

Architecture reconstruction accuracy

Ingest queue

core-banking96%
claims-suite74%
telco-billing52%
gov-registry31%

Engineering Intelligence

Five subsystems, one reconstruction model

  • 01

    Knowledge Graph Engine

    Unifies code entities, artifacts and history into a single queryable graph.

  • 02

    Semantic Code Analysis

    Resolves intent behind procedures, not just syntax and symbols.

  • 03

    Cross-language Understanding

    Links COBOL, Java, C++, .NET and SQL through shared semantic types.

  • 04

    Runtime Behavior Modeling

    Correlates traces and logs with static structure to model real execution.

  • 05

    Historical Evolution Engine

    Reconstructs architectural change across decades of version history.

knowledge graphenginesemanticcross-langruntimehistory

05 / Use Cases

Workspaces for enterprise engineering programs

wk/monolith-decomp

Modernizing monoliths

Extract seams and service candidates from a 14M-line core.

wk/cloud-cutover

Cloud migration

Map stateful couplings and infrastructure assumptions before lift.

wk/diligence

M&A software due diligence

Quantify architecture health, debt and key-person risk in weeks.

wk/onboarding

Developer onboarding

Give new engineers a navigable model instead of tribal knowledge.

wk/debt-burn

Technical debt reduction

Rank refactors by dependency centrality and change frequency.

wk/living-docs

Architecture documentation

Generate diagrams and specs that stay synchronized with source.

06 / Beta Program

Request Beta Access

stratum://beta/enrollment