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    Vendor passport · Updated Nov 2026

    StratLytics

    AI Service Providers for Financial ServicesData Engineering Service ProvidersGenerative AI Service Providers

    Placed in 3 PeMa markets most often placed as a Challenger vendor, with its strongest showing in AI Service Providers for Financial Services and Data Engineering Service Providers.

    3

    PeMa markets

    0

    Leader placements

    4

    AIM reports

    2015

    Founded

    Bhubaneswar, Odisha

    Headquarters

    Where it sits, market by market

    Each card shows its position against everyone else in that market's latest study.

    0Leader
    0Seasoned
    3Challenger
    0Growth
    AI Service Providers for Financial ServicesSeasonedLeadersChallengers2026 · Quadrant →Download with StratLytics highlighted ↓
    Data Engineering Service ProvidersSeasonedLeadersChallengers2026 · Quadrant →Download with StratLytics highlighted ↓
    Generative AI Service ProvidersSeasonedLeadersChallengers2026 · Quadrant →Download with StratLytics highlighted ↓

    Placement history

    How its position has moved since 2018

    One row per market, one dot per PeMa study. Lines join consecutive years.

    201820192020202120222023202420252026
    AI Service Providers for Financial ServicesChallenger · 2026
    Data Engineering Service ProvidersChallenger · 2024Challenger · 2025Challenger · 2026
    Generative AI Service ProvidersChallenger · 2023Challenger · 2024Challenger · 2026
    ChallengerNot evaluated

    Profile

    About StratLytics

    StratLytics is a data science and decision intelligence consulting firm founded in 2015 and headquartered in Bhubaneswar, Odisha, with offices in India, the US and the UK.

    It builds governed analytics platforms for banks, utilities and industrial supply chains. Its SLERA platform covers credit risk, underwriting, portfolio monitoring and model governance for lenders, SLIQ addresses load forecasting and smart meter analytics for utilities, and SLICE handles demand forecasting, inventory optimisation and supplier risk. The firm sells two-week diagnostic assessments for each sector, followed by implementation services, and builds monitoring, explainability and auditability into its models so that regulated clients can meet model risk expectations. No company announcements dated October 2026 were confirmed during this review. AIM Research places StratLytics as a Challenger in AI Service Providers for Financial Services, Data Engineering Service Providers and Generative AI Service Providers, and it is also evaluated in data science and MLOps services.

    Steady

    Website stratlytics.com

    Deployments

    2 deployment briefs

    Anonymised client work, as told to our analysts.

    Core Data Engineering & Platform Build
    Inventory Data Platform
    Manufacturing & Industrials

    Inventory Visibility Platform for an Industrial Filtration Enterprise

    Client: Industrial Filtration Enterprise

    Problem

    The client lacked a unified view of inventory because inventory data was fragmented across multiple enterprise systems. The disconnected data landscape limited operational visibility, increased manual reconciliation effort, and made it difficult to maintain effective inventory control across the business.

    Solution

    StratLytics built centralized data pipelines and implemented a Snowflake-based enterprise data platform using its SLICE framework. The solution unified inventory data from multiple systems into a centralized platform, creating a single source of truth that improved operational visibility and enabled more effective inventory management.

    Business Impact
    ~25-30%
    Inventory Visibility Improvement
    Improved enterprise inventory visibility by approximately 25–30%.
    ~40%
    Effort Reduction %
    Reduced manual reconciliation effort by approximately 40%.
    Core Data Engineering & Platform Build
    Portfolio Analytics Platform
    Financial Services

    Portfolio Analytics Platform for a Financial Services Institution

    Client: Financial Services Institution

    Problem

    The client had limited visibility into its loan portfolio and risk metrics because business-critical data was distributed across siloed systems. The fragmented data environment slowed reporting cycles and limited timely access to portfolio analytics for business decision-making.

    Solution

    StratLytics developed scalable ETL pipelines and implemented an integrated enterprise data platform to consolidate portfolio data and support loan portfolio analytics. The solution established a unified data foundation that improved data availability and enabled more efficient reporting across the organization.

    Business Impact
    ~30%
    Cycle-Time Reduction
    Reduced portfolio reporting cycle time by approximately 30%.
    Improved
    Data Availability
    Improved availability of portfolio and risk data for business decision-making.

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    Reports featuring StratLytics

    4 AIM Research reports

    All reports →
    AI Service Providers for Financial Services report coverAI Service Providers for Financial ServicesPeMa · 2026Top Data Engineering Service Providers 2026 report coverTop Data Engineering Service Providers 2026PeMa · 2026Top Generative AI Service Providers 2026 report coverTop Generative AI Service Providers 2026PeMa · 2026Top Data Engineering Service Providers 2025 report coverTop Data Engineering Service Providers 2025PeMa · 2025

    Analyst scorecard

    Scores, strengths and buyer signals

    Market names and placements are public. Scores and buyer signals are for signed-in buyers.

    MarketPlacementPenetrationMaturityBuyer signal
    AI Service Providers for Financial ServicesChallengers
    Data Engineering Service ProvidersChallengers
    Generative AI Service ProvidersChallengers

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    Frequently asked

    Questions about StratLytics

    StratLytics is a data science and decision intelligence consulting firm founded in 2015 and headquartered in Bhubaneswar, Odisha, with offices in India, the US and the UK. It builds governed analytics platforms for banks, utilities and industrial supply chains.

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