Modernize legacy COBOL with AI precision
COBREV converts millions of lines of mainframe COBOL into clean, verified Python or Java — achieving 99.2%+ behavioral equivalence in weeks, not years.
IDENTIFICATION DIVISION.
PROGRAM-ID. ACCOUNT-CALC.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-BALANCE PIC S9(9)V99.
01 WS-RATE PIC 9V9(4).
01 WS-INTEREST PIC S9(9)V99.
PROCEDURE DIVISION.
COMPUTE WS-INTEREST =
WS-BALANCE * WS-RATE / 12
IF WS-INTEREST > 0
ADD WS-INTEREST TO WS-BALANCE
END-IF.
STOP RUN.from decimal import Decimal
class AccountCalc:
def __init__(self):
self.balance = Decimal("0.00")
self.rate = Decimal("0.0000")
self.interest = Decimal("0.00")
def run(self):
self.interest = (
self.balance * self.rate / 12
)
if self.interest > 0:
self.balance += self.interestBehavioral Equivalence
Kairos-1 AI Pipeline
Faster Than Manual
Verification Stack
Enterprise migration, reimagined
Every component is purpose-built for converting mission-critical COBOL systems with mathematical precision and full auditability.
Multi-Pass AI Refinement
Five specialized Kairos-1 passes — structural analysis, logic fidelity, domain optimization, reconciliation, and ensemble consensus — deliver production-ready code.
Formal Verification
Z3 theorem prover validates behavioral equivalence at the mathematical level. Combined with AST diffing and runtime sandboxing for triple-layer confidence.
Language-Agnostic IR
COBOL source is parsed into a rich intermediate representation capturing data types, control flow, and business logic — enabling clean target code generation.
COBOL Dialect Support
Native support for Enterprise COBOL, Micro Focus, AcuCOBOL, and GNU COBOL. Automatic dialect detection and COPYBOOK resolution across dependency graphs.
Real-Time Monitoring
Track every stage from ingestion through verification. Live updates, per-pass confidence scores, token usage, and cost tracking for full transparency.
Compliance-Ready Output
Full audit trail with immutable logs. Confidence maps, human review queues, and complete traceability from source to target for regulatory compliance.
From COBOL to production in five stages
A deterministic, auditable pipeline that transforms legacy code while preserving every business rule.
Ingest & Analyze
Upload COBOL sources. ANTLR4 parses every dialect, resolves COPYBOOK dependencies, and scores complexity.
Parse & Lower
AST is built, then lowered to a language-agnostic intermediate representation preserving all business logic.
Generate Code
Jinja2 templates emit clean Python or Java from the IR, maintaining idiomatic patterns and type safety.
Kairos-1 Refinement
Five specialized AI passes refine the output — structural, logic fidelity, domain patterns, reconciliation, and consensus.
Verify & Deliver
Z3 formal proofs, behavioral tests, and coverage analysis ensure 99.2%+ equivalence before delivery.
Ready to modernize your legacy systems?
Upload your COBOL sources and let COBREV handle the rest. From parsing to verified output — powered by Kairos-1.