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Gigmo Solutions Tech Stack

Hybrid customer support platform combining AI chatbots with distributed gig workers

Information Technology & Services Bengaluru, Karnataka 51–200 employees Founded 2018 Privately Held

Gigmo Solutions operates a support services platform that pairs AI conversational agents with on-demand gig workers. The tech stack (Excel, Power BI, SQL, Python, R) reflects a data-driven operations backbone focused on cost optimization and service metrics—priorities underscored by their stated pain points around NSAT scores, support costs, and operational efficiency. Hiring velocity is accelerating across HR and operations, suggesting the platform is scaling its worker onboarding and workforce management capabilities.

Tech Stack 11 technologies

Core StackPower BI Python Excel SQL R VBA Microsoft 365 Windows 11 Exchange Online SharePoint Teams

What Gigmo Solutions Is Building

◆Challenges

Improving nsat scores
Reducing support costs
Optimizing support processes
Reducing operational costs
Statutory compliance

▲Active Projects

Continuous service improvement plans
Risk and dependency management

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

HR

2

Data

1

Operations

1

Support

1

Seniority

Manager

3

Lead

1

Senior

1

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About Gigmo Solutions

Gigmo Solutions provides technical customer support services through a hybrid model combining AI-powered chatbots with a curated global network of gig-economy support agents. The company built the Gigmos platform to handle L1 and L2 support workloads, with a vetting process that includes rigorous testing and ID validation for all onboarded workers. The core appeal is cost reduction and efficiency improvement for support teams at mid-market and enterprise clients. Founded in 2018 and based in Bengaluru, the company operates as a privately held firm with 51–200 employees.

HeadquartersBengaluru, Karnataka

Company Size51–200 employees

Founded2018

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Gigmo Solutions use?

Gigmo's operational stack centers on Excel, Power BI, SQL, Python, R, and Microsoft 365 tools (Teams, Exchange Online, SharePoint). The mix indicates heavy reliance on analytics and data transformation for support metrics and workforce management.