Overview The Challenge Tech Stack Brand Color & Typo What We Built Technical Highlights Testimonials

Case Study - InsightGig

The AI-native operating layer transforming modern insight workflows.

An AI-powered research platform built for insight teams — combining qualitative analysis, workflow orchestration, connected intelligence, and multilingual capabilities into one scalable ecosystem.

InsightGig is an AI-native operating layer purpose-built for modern insight and market research teams. iCodeLabs designed and built the platform from the ground up — replacing fragmented research tools with a unified ecosystem that automates qualitative analysis, synthesises cross-study findings, orchestrates multi-agent AI workflows, and generates multimodal insights at scale.

Enterprise-ready from day one, the platform is built for non-technical research professionals who need the power of AI without the complexity of setting it up.

The Challenge

Modern insight teams work across disconnected tools — fragmented qualitative data, manual synthesis, scattered research outputs, and rapidly evolving AI systems with no clear integration path. InsightGig needed to unify these research operations into a single intelligent operating layer while remaining intuitive for non-technical professionals.

The build required orchestrating AI-driven workflows across qualitative and quantitative research, building automated synthesis pipelines, enabling multimodal analysis beyond text, and delivering enterprise-grade governance with full auditability — all while maintaining a human-in-the-loop approach that keeps researchers in control of AI-generated outputs.

Websitewww.insightgig.com

Tech Stack

An AI-native stack engineered for enterprise research operations — combining multi-agent orchestration, multimodal intelligence, and full governance in a single platform.

LAYER

TECHNOLOGY

Frontend

React.js

Backend / APIs

Node.js

AI Infrastructure

Multi-Agent AI Architecture

Research Processing

NLP + Multimodal Analysis

Workflow Engine

AI Workflow Orchestration

Reporting & Insights

Automated Synthesis Engine

Security & Governance

Enterprise Audit & Permission System

Bright brand colours and bold typography of InsightGig

A vivid blue-and-orange palette paired with a clean, geometric type system gives InsightGig a confident, modern feel. The contrast keeps the product readable while still making the interface feel energetic and design-forward.

Azul

#0F53EE

RGB: 15, 83, 238

Yellowish Orange

#FAAD0B

RGB: 250, 173, 11

Blaze Orange

#FD7200

RGB: 253, 114, 0

Dark Jungle Green

#1D1D1D

RGB: 29, 29, 29

Snow Drift

#F8F9FA

RGB: 248, 249, 250

Poppins
Semi-Bold

abcdefghijklmnopqrstuvwxyz0123456789/*!~$%&()_+

DM Sans

Regular

What We Built

AI-Native Research Operating Layer

iCodeLabs architected a scalable AI-native platform that centralises the entire insight workflow into one connected ecosystem. Teams manage research analysis, AI synthesis, workflow orchestration, and reporting inside a single operating layer — eliminating the tool fragmentation that slows down modern research operations.

Automated Qualitative Research Analysis

The platform automates processing of interviews, focus groups, immersion sessions, and discussion recordings end to end. AI-driven pipelines generate transcripts, summaries, theme extraction, quote mapping, and insight synthesis — dramatically reducing manual analysis time while preserving full researcher oversight and auditability at every stage.

Multi-Agent AI Workflow Orchestration

A modular workflow infrastructure was implemented to orchestrate AI tasks across different stages of the research lifecycle. Automated processing pipelines, intelligent workflow routing, context-aware AI operations, and scalable multi-agent systems support both qualitative and quantitative insight operations — adapting dynamically to the complexity and scale of each research programme.

Connected Intelligence & Cross-Study Synthesis

InsightGig connects insights across multiple research projects and historical datasets. The system surfaces recurring themes, knowledge gaps, and connected findings across studies — enabling organisations to move from isolated, one-off research projects to continuous, compounding intelligence generation over time.

Multimodal Emotion & Sentiment Analysis

The platform goes beyond text-based NLP by incorporating tone, sentiment, and expression-based analysis from interview recordings and media-based research inputs. Researchers can identify emotional signals, behavioural patterns, and contextual responses directly from the source — capturing insight dimensions that transcript-only analysis misses.

Enterprise Governance & Auditability

Enterprise-ready governance systems were built in from the ground up — covering permissions, workflow tracking, quality assurance, and full audit trails across all research operations. The human-in-the-loop architecture ensures every AI-generated output is transparent, traceable, and researcher-controlled — meeting the accountability standards enterprise clients require.

Technical Highlights

AI-native operating layer architecture unifying fragmented insight workflows into one ecosystem
Automated qualitative analysis pipelines — transcripts, theme extraction, synthesis, and reporting
Multi-agent AI orchestration system powering scalable, context-aware research workflows
Multimodal emotion and sentiment analysis for richer, media-based consumer understanding
Enterprise-grade governance with permissions, audit trails, and human-in-the-loop AI validation
Cross-study connected intelligence infrastructure for continuous insight discovery

Ready to Build a Complex Marketplace?

InsightGig runs on 50+ async microservices with AI-powered matching and research automation — built using our AI-augmented process. If your marketplace needs custom logic, integrations, or AI features, let's talk.