App Modernization Services & Solutions | Polestar Analytics
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    App modernization by data & AI engineers

    Modernize apps.
    Unlock data.Activate AI.

    Polestar Analytics’ AI-accelerated, data-led approach to moving legacy applications onto cloud-native, AI-ready foundations.

    A legacy app moving onto a layered stack: experience, integration, application services, data foundation and intelligence

    Platforms we modernize to

    Microsoft Amazon Web Services Google Cloud Databricks Snowflake Microsoft Amazon Web Services Google Cloud Databricks Snowflake

    Why modernize now?

    Legacy applications have become the bottleneck to AI

    71%

    of modernization initiatives have exceeded their planned costs1

    61%

    of organizations have paused, delayed, scaled back or abandoned modernization1

    60%

    of AI projects without AI-ready data will be abandoned through 20262

    Sources: 1.Ensono, State of IT Modernization research, survey of US and UK IT leaders, September 2026. 2.Gartner, “Lack of AI-Ready Data Puts AI Projects at Risk,”February 2025 (prediction).

    What we decide

    Every application gets a deliberate disposition

    Decommission and archive the data

    Exit quadrant: low business value, high complexity. Retire or replace with SaaS.

    When we recommend itLow usage or duplicated capability

    Assess & RoadmapExitDecided in Design

    Retire tab preview

    Keep as is, revisit later

    Keep-it-simple quadrant: rehost or retain until the economics change.

    When we recommend itStable, low-cost, no near-term change needed

    Assess & RoadmapKeep it simpleDecided in Design

    Retain tab preview

    Lift and shift to cloud infrastructure

    Keep-it-simple quadrant: rehost or retain until the economics change.

    When we recommend itData-centre exit deadline, little change budget

    Migrate & ReplatformKeep it simpleDecided in Design

    Rehost tab preview

    Move with targeted optimizations

    Quick-wins quadrant: replatform or refactor first; ideal lighthouse candidates.

    When we recommend itQuick wins from managed services or containers

    Migrate & ReplatformQuick winsDecided in Design

    Replatform tab preview

    Restructure into services and APIs

    Quick wins first, then strategic bets refactored in planned waves.

    When we recommend itHigh-change, business-critical applications

    Refactor & RebuildStrategic betsDecided in Design

    Refactor tab preview

    Rewrite on a modern stack

    Strategic-bets quadrant: high value, high complexity, rebuilt in planned waves.

    When we recommend itCode too brittle to evolve, rules still valuable

    Refactor & RebuildStrategic betsDecided in Design

    Rebuild tab preview

    Move to SaaS or a packaged product

    Exit quadrant: low business value, high complexity. Retire or replace with SaaS.

    When we recommend itCommodity capability with no differentiation

    Assess & RoadmapExitDecided in Design

    Replace tab preview

    Start with a Modernization Assessment

    A fixed-scope, 4-week engagement that turns your portfolio into a costed roadmap.

    How we modernize

    AI accelerates every stage.With engineers in the loop.

    AI does the slow analysis, conversion and testing across the lifecycle. Our engineers review every change and own what ships.

    01

    Understand

    Code comprehension and auto-documentation of legacy systems.

    02

    Extract

    Business rules, data lineage and dependencies pulled from code.

    03

    Convert

    Assisted code translation and refactoring proposals.

    04

    Validate

    Generated test suites and functional-equivalence checks.

    05

    Operate

    AIOps anomaly detection and incident triage after go-live.

    Every AI-generated change is engineer-reviewed, tested and traceable to its source.

    Engagement models

    Three ways to start, each building on the last

    Assess the portfolio, prove the pattern on one application, then scale in waves.

    Modernization Assessment

    4 weeks

    fixed scope, to a scored and costed roadmap

    • PortfolioScan and scoring
    • ApplicationsDisposition per app
    • Target stateArchitecture and wave plan
    • OutcomeBusiness case

    Lighthouse PilotBuilds on the assessment

    One app

    end to end, on the target stack

    • Target patternProven
    • AI acceleratorsProven
    • Factory baselineSet
    • StakeholdersConfidence built

    Modernization FactoryBuilds on the pilot

    Wave-based

    delivery at scale

    • DeliveryDedicated pods per wave
    • MethodRepeatable playbooks
    • RunOptional managed run
    • CommercialsOutcome-linked

    Modernizingapplication delivery for aglobal manufacturera legacy Anaplan estate for aglobal IT software GCClegacy BI access for aglobal building materials GCC

    Glowing globe in a high-tech factory with robotic arms

    Application environments now build automatically, not by hand.

    Global manufacturing leader’s GCC

    Manual servers to automated provisioning on Azure

    Read the case study →
    • 100%of manual server builds eliminated
    • 1unified CI/CD pipeline for provisioning
    • 5+engineering and business teams enabled
    Digital globe with circuit lines on a glass base

    A 10-year-old planning estate, rebuilt into a strategic planning engine.

    Global IT software GCC

    10+ year-old Anaplan models rebuilt after a PE acquisition

    Read the case study →
    • 35-37GBof Anaplan storage freed
    • 3 weeksahead of schedule
    • 6-7more Anaplan projects scoped
    Three construction workers reviewing building plans on site

    QlikView now signs in through Google MFA, with zero user disruption.

    Global building materials GCC

    Legacy Ping Federator to Google SAML across Dev, QA and Prod

    Read the case study →
    • 6 weeksto complete the migration
    • 0disruption during production cutover
    • 100%of Ping Federator dependency eliminated

    Business transformation

    Build the rest of your AI transformation

    Executive looking at a holographic AI core

    AI Consulting

    Pick the AI bets that move P&L, with use-case sizing and an operating model.

    Explore AI Consulting →
    Neural network visual representing decision intelligence

    Decision Intelligence

    Every insight arrives with an action attached.

    Explore Decision Intelligence →
    Executive reviewing plans and charts on a tablet

    Business Planning

    Plans that update when the business does.

    Explore Business Planning →

    Target state

    Cloud-native apps on an AI-ready data foundation.

    Experience, integration and app services sit on a governed lakehouse, with AI agents, insights and ML models on top. Operated with SRE and FinOps on AWS, Azure or Google Cloud.

    Data FoundationStudio Apps (1Platform IP)Data Services
    AI ServicesIndustries

    Real Estate CPG Retail Pharma & LS Capital
    Markets
    Private
    Equity
    Agent
    Engineering
    AI Readiness Migration/
    Modernization
    AgentOps DataOps Data Readiness
    assessment
    MLOps AI & Data
    Governance
    Foundation
    Studio
    MDM
    Studio
    Governance
    Studio
    Insight
    Studio
    Agent
    Studio
    ML Studio Data
    Foundation

    CXO AI roundtable series

    Where AI leaders compare notes

    A roundtable series on taking AI from pilots to production, hosted by Polestar Analytics with CIOs from complex enterprises.

    CXO Roundtable: From AI pilots to enterprise impact

    Featured experts from

    Ajinomoto Nestlé Unilever Church & Dwight BIC Coca-Cola McCain Holcim BAT GoTo Foods Opella Kellogg’s Diageo PepsiCo Reyes Albertsons Mondelēz International

    Why Polestar Analytics for app modernization?

    The team behind the move

    1000+

    successful implementations across data, AI and planning

    800+

    practitioners across the US, Europe and India

    35%+

    less migration time and cost with MigrationStudio

    4.8/5

    Gartner Peer Insights rating (28 reviews)

    • Data-first by design

      Data is decoupled before code moves, governed and reusable.

    • AI-native delivery

      AI speeds the engineering and ships in the target state.

    • Platform-backed

      MigrationStudio and Foundation Studio mean less bespoke build.

    • Certified secure

      SOC 2 Type II and ISO 27001 certified.

    Trusted partnerships

    Anaplan Intelligence Trusted AI Partner
    Databricks Brickbuilder Silver Partner
    Microsoft Managed Partner
    Google CloudPartner
    Amazon Web ServicesPartner
    SnowflakePartner

    Latest app modernization insights

    Gartner's Top 10 Technology Trends for 2025
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    FAQ

    Questions IT leaders ask

    We score business value against technical complexity and risk, then assign a disposition.

    Cost, speed, resilience and data & AI readiness, baselined in Discover and tracked every wave.

    A shortlist of applications, plus access to code repositories, CMDB and run-cost data.

    Four weeks, fixed scope, ending in a disposition, wave plan and business case.

    Every AI-generated change is engineer-reviewed, tested and traceable to its source.

    Every AI ambitioneventually hits a legacy app.

    Modernization is now a precondition for AI, not an IT hygiene project.

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    Talk to our Experts

    ankit rana

    Ankit Rana

    Pre Sales Head

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    Bablu Chakraborty

    Bablu Chakraborty

    Data & Analytics Head

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