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

    Vendor passport · Updated Nov 2026

    DotKonnekt

    Gen AI Application Development Platform Providers

    Placed in 1 PeMa market most often placed as a Seasoned vendor, with its strongest showing in Gen AI Application Development Platform Providers.

    1

    PeMa market

    0

    Leader placements

    0

    AIM reports

    2022

    Founded

    Singapore

    Headquarters

    Where it sits, market by market

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

    0Leader
    1Seasoned
    0Challenger
    0Growth

    Profile

    About DotKonnekt

    DotKonnekt is an enterprise AI execution company headquartered in Singapore with offices in Bengaluru, New York, Palo Alto, and Dubai.

    Its core business helps retail, consumer, manufacturing, and supply chain organizations move from fragmented AI pilots to production-ready systems. Its technology stack centers on Kompass Studio , a cloud-, model-, and framework-agnostic orchestration platform for agentic workflows, paired with pre-built industry agent templates and Sangria , an experiential commerce application. DotKonnekt excels at Enterprise AI Sovereignty, vertical domain execution, and rapid production deployment without vendor lock-in . Through a unique Build-Operate-Transfer model, its forward-deployed engineering teams build custom AI workflows directly on a client’s existing infrastructure, optimize token and infrastructure costs, and contractually hand over full ownership of the code, context, and capabilities to the enterprise.

    Deployments

    2 deployment briefs

    Anonymised client work, as told to our analysts.

    Gen AI & Agentic AI
    Retail & E-Commerce

    Personalized Wedding Planning and Vendor Discovery Platform for a Leading US Bridal Retailer

    Client: David’s Bridal

    Problem

    Modernize wedding planning and deliver personalize customer experiences at national scale.

    Solution

    AI-powered wedding-planning platform (Pearl Planner) built on Kompass Studio, combining planning tools, budgets, timelines and AI- matched vendor marketplace, built for David’s Bridal as their own IP.

    Business Outcome: 100K+ brides served; 200K+ vendors connected. Reported launch in under four months, 3× faster time to market, 80% lower TCO and 90% lower token costs versus the initial proof of concept.

    Gen AI & Agentic AI
    Industrial Equipment Manufacturing

    Shop-Floor Knowledge Management and Aftermarket Operations for a Global Industrial Equipment Manufacturer

    Client: Bretting Manufacturing

    Problem

    Machine operators and technicians need fast, reliable answers on the shop floor. Support knowledge is fragmented, which leads to slowdown, downtime and lost productivity. With operator churn, institutional knowledge is lost, and expertise becomes harder to scale.

    Solution

    An agentic AI assistant for machine operators and technicians, piloted on a production line at an end-customer site. It is being extended into a broader operating layer covering the entire aftermarket process across a large installed base.

    Business Outcome: Expertise retained as a shared asset despite turnover; one operating standard

    across sites, narrowing the gap between best and weakest performers; higher output from existing

    capacity without added capital or headcount; and network-wide visibility into how each site actually operates.

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    Analyst scorecard

    Scores, strengths and buyer signals

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

    MarketPlacementPenetrationMaturityBuyer signal
    Gen AI Application Development Platform ProvidersSeasoned

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    Frequently asked

    Questions about DotKonnekt

    DotKonnekt is an enterprise AI execution company headquartered in Singapore with offices in Bengaluru, New York, Palo Alto, and Dubai. Its core business helps retail, consumer, manufacturing, and supply chain organizations move from fragmented AI pilots to production-ready systems.