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Karsient ShiftIQ

Understand Legacy. Plan the Shift. Modernize With Intelligence.

ShiftIQ analyzes complex legacy applications — code, dependencies, business rules and data flows — to tell you exactly what you have, what it does, and how it should be modernized, before migration begins.

karsient-shiftiq — dependency graphLEGACY_PROC.SQLCREATE OR REPLACE PROCEDURE calc_customer_ltv(cust_id NUMBER)IS v_total NUMBER := 0;BEGIN SELECT SUM(amount) INTO v_total FROM orders WHERE customer_id = cust_id; RETURN v_total;END;-- complexity: high, 3 refsBusiness rule detected: LTV calcDEPENDENCY GRAPHorderscustomerscalc_ltv()ltv_calcdim_customerrpt_ltv
ShiftIQ Execution FlowDeterministic Pipeline · AI Intelligence
01Applications
→
02Databases
→
03ETL Workloads
→
04Dependencies
→
05Business Rules
→
06Data Flows
→
07Migration Intelligence

Targeted Challenges

Critical Problems ShiftIQ Solves

Millions of lines of legacy code with no current inventory

Undocumented business rules buried in stored procedures and jobs

Complex, hidden dependencies across applications and workloads

No consistent way to score technical debt or migration risk

No defensible way to estimate effort before committing to a migration

Under The Hood

How ShiftIQ analyzes your legacy code

ShiftIQ doesn't just scan file names — it parses every object into a dialect-aware abstract syntax tree, then reasons over that structure with AI models trained on legacy SQL and ETL patterns.

Step 01

Parses SQL, stored procedures, and ETL job definitions into a dialect-aware AST

Step 02

Cross-references every table, view, and procedure to build a live dependency graph

Step 03

Uses AI pattern-matching to infer business rules embedded in procedural logic

Step 04

Scores each object for complexity, risk, and technical debt using a weighted model

Comprehensive Feature Matrix

Legacy code discovery

Automated inventory of applications, jobs, schemas, and code across the legacy estate.

AI-powered code analysis

Deep static analysis of SQL, stored procedures, and ETL logic using AI-assisted parsing.

Dependency analysis

Maps every dependency between tables, views, procedures, and jobs into a queryable graph.

Business-rule identification

Surfaces the business logic embedded in legacy code so it isn't lost in translation.

Data-flow analysis

Traces how data actually moves through the estate, not just how it's documented.

Application & workload classification

Groups applications and workloads by type, criticality, and modernization pattern.

Migration complexity scoring

Scores every object and application so the easiest, highest-value work can go first.

Technical-debt assessment

Quantifies technical debt across the estate to justify and prioritize modernization.

Migration-readiness assessment

Flags what's ready to migrate as-is versus what needs redesign first.

Source-to-target technology mapping

Maps legacy constructs to their Databricks-native equivalents ahead of conversion.

Migration effort estimation

Rolls complexity and readiness scores up into a defensible effort and timeline estimate.

Automated modernization assessment reports

Board-ready reports summarizing scope, risk, effort, and recommended sequencing.

Enterprise Compatibility

Supported Technologies & Platforms

Integrates directly into your existing cloud infrastructure, code repositories, and lakehouse platforms.

TalendTALENDVERTICAOracleORACLEInformaticaINFORMATICASSISTeradataTERADATASQLSQLMicrosoft SQL ServerSQLSERVERDatabricksDATABRICKSSnowflakeSNOWFLAKEMicrosoft FabricFABRICMicrosoft AzureAZUREAWSAWSGoogle CloudGOOGLECLOUD

Frequently Asked Questions

Technical Questions About ShiftIQ

No — ShiftIQ is read-only. It analyzes code, metadata, and exported definitions and never writes back to a source system.

Deploy ShiftIQ in your environment

Talk with a technical solutions engineer to scope an assessment, evaluate sample logic, or schedule a sandbox walkthrough.