Case studies · Product evidence

Proof, documented with restraint.

Three products. Three real problem spaces. No invented customers, inflated outcomes or placeholder success metrics.

First-party product cases

Unverified customer metrics

Private beta / MVP

Evidence status shown openly

How to read these stories

Product progress is not the same as market proof.

Challenge

The documented product problem and the operating constraints around it.

Product response

What AiRedHQ has designed and engineered to address that problem.

Current evidence

What exists today, with product maturity stated explicitly.

What it demonstrates

The transferable product and engineering capability behind the work.

AI Recruitment Ecosystem

Making hiring intelligence explainable.

Explore the product

Challenge: Hiring teams work across fragmented tools, candidates face low-context job posts, and automated scoring can make consequential decisions harder to understand.
Product response: hiARed connects job-post quality, company transparency, resume intelligence, job-fit signals and end-to-end hiring stages in one multi-role product.
Current evidence: A working private-beta product experience with recruiter dashboards, transparency scoring, candidate screening and connected pipeline workflows.
What it demonstrates: Explainable AI, human review, multi-role SaaS architecture and trust-sensitive product design.

Hyperlocal Discovery Platform

Turning a city into an understandable discovery layer.

Explore the product

Challenge: Local businesses, bazaars, events and offers are scattered across maps, social posts and incomplete directories, making nearby discovery unreliable.
Product response: GoBazaar organizes local intent around an interactive map, structured place profiles, categories, current offers, events and merchant-managed context.
Current evidence: An India-focused private-beta product interface covering local search, map markers, discovery categories, nearby offers and merchant workflows.
What it demonstrates: Location-aware UX, search and mapping systems, marketplace trust and consumer-to-merchant product architecture.

Privacy-first Financial Planning

Designing financial clarity without demanding more data.

Explore the product

Challenge: Budgeting, emergency planning, insurance and long-term goals often live in separate tools, while connected finance products can ask for more sensitive data than users want to share.
Product response: YojIQ brings manual-first budgeting, emergency-fund progress, insurance awareness, savings goals and investment summaries into one calm mobile journey.
Current evidence: An MVP-stage product experience demonstrating monthly planning, financial readiness and user-controlled data entry.
What it demonstrates: Privacy-aware architecture, progressive disclosure, mobile product design and responsible decision support.

What we will publish when the evidence exists.

Verified adoption and usage

Measured workflow improvements

Approved customer narratives

Performance and reliability outcomes

Build the next documented story

Bring us a problem worth solving properly.

Start a project

Case studies · Product evidence

Proof, documented with restraint.

Three products. Three real problem spaces. No invented customers, inflated outcomes or placeholder success metrics.

First-party product cases

Unverified customer metrics

Private beta / MVP

Evidence status shown openly

How to read these stories

Product progress is not the same as market proof.

Challenge

The documented product problem and the operating constraints around it.

Product response

What AiRedHQ has designed and engineered to address that problem.

Current evidence

What exists today, with product maturity stated explicitly.

What it demonstrates

The transferable product and engineering capability behind the work.

AI Recruitment Ecosystem

Making hiring intelligence explainable.

Explore the product

Challenge: Hiring teams work across fragmented tools, candidates face low-context job posts, and automated scoring can make consequential decisions harder to understand.
Product response: hiARed connects job-post quality, company transparency, resume intelligence, job-fit signals and end-to-end hiring stages in one multi-role product.
Current evidence: A working private-beta product experience with recruiter dashboards, transparency scoring, candidate screening and connected pipeline workflows.
What it demonstrates: Explainable AI, human review, multi-role SaaS architecture and trust-sensitive product design.

Hyperlocal Discovery Platform

Turning a city into an understandable discovery layer.

Explore the product

Challenge: Local businesses, bazaars, events and offers are scattered across maps, social posts and incomplete directories, making nearby discovery unreliable.
Product response: GoBazaar organizes local intent around an interactive map, structured place profiles, categories, current offers, events and merchant-managed context.
Current evidence: An India-focused private-beta product interface covering local search, map markers, discovery categories, nearby offers and merchant workflows.
What it demonstrates: Location-aware UX, search and mapping systems, marketplace trust and consumer-to-merchant product architecture.

Privacy-first Financial Planning

Designing financial clarity without demanding more data.

Explore the product

Challenge: Budgeting, emergency planning, insurance and long-term goals often live in separate tools, while connected finance products can ask for more sensitive data than users want to share.
Product response: YojIQ brings manual-first budgeting, emergency-fund progress, insurance awareness, savings goals and investment summaries into one calm mobile journey.
Current evidence: An MVP-stage product experience demonstrating monthly planning, financial readiness and user-controlled data entry.
What it demonstrates: Privacy-aware architecture, progressive disclosure, mobile product design and responsible decision support.

What we will publish when the evidence exists.

Verified adoption and usage

Measured workflow improvements

Approved customer narratives

Performance and reliability outcomes

Build the next documented story

Bring us a problem worth solving properly.

Start a project