AIM Research · specialised in data and AIIndependent · Analyst-led · Vendor-neutral

    Vendor passport · Updated Nov 2026

    Aays

    Data Science Service ProvidersGenerative AI Service ProvidersDatabricks Services PartnersData Engineering Service Providers

    Placed in 4 PeMa markets most often placed as a Seasoned vendor, with its strongest showing in Data Science Service Providers and Generative AI Service Providers.

    4

    PeMa markets

    0

    Leader placements

    5

    AIM reports

    2018

    Founded

    Singapore

    Headquarters

    Placement history

    How its position has moved since 2018

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

    201820192020202120222023202420252026
    Data Engineering Service ProvidersChallenger · 2023Leader · 2024Seasoned · 2025Seasoned · 2026
    Databricks Services PartnersSeasoned · 2026
    Generative AI Service ProvidersSeasoned · 2023Leader · 2024Seasoned · 2026
    Data Science Service ProvidersChallenger · 2022Challenger · 2023Seasoned · 2024Seasoned · 2025
    LeaderSeasonedChallengerNot evaluated

    Profile

    About Aays

    Aays is a data and AI consulting firm founded in 2018 and headquartered in Singapore, with delivery teams in India.

    It builds analytics and AI solutions focused on corporate finance, supply chain and ESG reporting, and serves large enterprises including Fortune 1000 companies. Its work spans data engineering on modern cloud platforms, data science models for forecasting and operational analytics, and generative AI applications for finance and supply chain teams. The firm is a Databricks partner and has built its practice around lakehouse-based data foundations for analytics use cases. AIM Research places Aays as a Seasoned vendor in four markets: Data Engineering Service Providers, Data Science Service Providers, Databricks Services Partners and Generative AI Service Providers, and also lists it among Data Modernization Service Providers. Buyers seeking a specialist mid-sized partner with finance and supply chain depth will find Aays a fit.

    Steady

    Website aaysanalytics.com

    Deployments

    2 deployment briefs

    Anonymised client work, as told to our analysts.

    Gen AI & Agentic AI
    Competitor Intelligence RAG Platform
    Consumer Packaged Goods (CPG)

    Client GPT (Competitor Intelligence RAG Platform)

    Client: Global CPG Company

    Problem

    The client's strategy and competitive intelligence teams were manually reviewing competitor reports of more than 200 pages across 16 competitors. This made it difficult to extract and query competitive intelligence at scale.

    Solution

    Aays built a Retrieval-Augmented Generation (RAG) pipeline on Microsoft Azure using Azure Document Intelligence for document ingestion, Azure OpenAI Embedding Model for vectorization, and a semantic search layer with seven customizable focus-area filters for querying competitive intelligence.

    Business Impact
    Days to minutes
    Cycle-Time Reduction
    Reduced the time required for competitor analysis from days to minutes.
    16 competitors
    Coverage
    The platform enabled analysis and querying of reports covering 16 competitors.
    200+ page reports
    Document Size
    Built to process and query competitor reports exceeding 200 pages
    Core Data Engineering & Platform Build
    Enterprise Data Foundation
    Consumer Packaged Goods (CPG)

    Global CPG Enterprise Data Foundation

    Client: Fortune 500 CPG Company

    Problem

    The client had fragmented data across SAP, Kinaxis, Veritas, and more than 10 source systems. As a result, there was no unified and trusted data layer to support analytics and AI use cases across global business units spanning Supply Chain, Finance, and Demand.

    Solution

    Aays designed and delivered a Medallion lakehouse architecture with Bronze, Silver, and Gold layers on Databricks and Azure Data Lake Storage Gen2 (ADLS Gen2). The implementation included Microsoft Purview governance, Collibra DIC integration, Unity Catalog access control, and a Domain Data Mesh organized across six functional pods.

    Business Impact
    40%
    Cycle-Time Reduction
    Reduced the analytics development cycle time after establishing a unified enterprise data foundation.
    14+ Global markets
    Deployment Scale
    The enterprise data foundation was deployed across more than 14 global markets.
    10+ source systems
    Data Consolidation
    Consolidated data from more than 10 enterprise source systems into a single enterprise data foundation.

    Shortlisting a generative ai partner? Get an analyst-reviewed shortlist built from PeMa evidence.

    Build my shortlist →

    Reports featuring Aays

    5 AIM Research reports

    All reports →

    Analyst scorecard

    Scores, strengths and buyer signals

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

    MarketPlacementPenetrationMaturityBuyer signal
    Data Science Service ProvidersSeasoned
    Generative AI Service ProvidersSeasoned
    Databricks Services PartnersSeasoned
    Data Engineering Service ProvidersSeasoned

    Buyers only

    Sign in to see the full scorecard

    Free for enterprise buyers with a work email.

    Sign in →

    The vendor is a growing firm with approximately 150 employees and a presence across North America, Europe, the UK, and APAC, operating six offices. They are recognized for their expertise in data science and AI, focusing on integrated solutions with strong capabilities in data engineering and generative AI, while actively hiring talent in data architecture and DevOps engineering. Leadership has a stable tenure of over four years, with a talent mix heavily weighted towards engineering roles.

    Frequently asked

    Questions about Aays

    Aays is a data and AI consulting firm founded in 2018 and headquartered in Singapore, with delivery teams in India. It builds analytics and AI solutions focused on corporate finance, supply chain and ESG reporting, and serves large enterprises including Fortune 1000 companies.