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Selected engagements

Works Case studies from iDefender IT Services

Technology solutions across Development, DevOps, QA, Compliance, and AIOps — built to scale. Four platforms below: two products we build and run ourselves, two delivered for clients. Each one links to the engineering write-up behind it.

A construction worker in a hard hat and hi-vis vest on a part-built site at dusk, reading the Niyantā app on a phone, cranes and city lights behind him
012024 · Construction client

Niyantā

A WhatsApp-first construction execution & ERP platform on ERPNext — maker-checker governance, audit trails, and real-time field visibility.

Construction ERPInfrastructure Execution
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022024 · Open / Free

Vivechana

An AI meeting-understanding system that captures, transcribes and structures conversations into searchable, actionable knowledge.

AI ProductivityKnowledge Intelligence
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Four colleagues around a boardroom table mid-conversation, a translucent holographic panel above the table showing a speech waveform, speaker markers and bar charts
The BazaarBandhu wordmark over the aisle of a wholesale distribution warehouse, pallet racking stacked high on both sides
032022 · Bazaar Bandhu

BazaarBandhu

Enterprise e-commerce enablement — a modular, governance-led commerce architecture aligning technology, data and governance into one scalable ecosystem.

E-commercePlatforms
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A quiet desk beside a window - a ceramic mug, a closed notebook and reading glasses on worn wood in warm morning light
042026 · iDefender product

RelayZap

Self-hosted email-to-chat monitoring — Gmail, Zoho and any IMAP mailbox forwarded into Mattermost, Google Chat or any webhook. Flat-priced, runs on your own servers.

SaaS ProductEmail → Chat
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Patterns

What these four projects have in common

A construction ERP, a wholesale commerce platform, an AI meeting tool and a mail-relay product do not look alike. The delivery approach underneath them is the same one every time, and it is the part worth judging us on.

Shipped, not prototyped

Every platform on this page is in production with real users and real consequences for downtime. Niyantā governs live construction sites for a civil-construction contractor in Patna; BazaarBandhu handles wholesale orders. Nothing here is a pilot that never left staging.

Governance designed in, not added

Maker-checker approval, audit trails and role separation are architectural decisions taken at the data-model stage. Retrofitting an audit trail onto a system that was not built for one is close to a rewrite — which is why compliance sits in the same engagement as development rather than after it.

Built on the platform the client can keep

ERPNext for the construction ERP, standard web stacks elsewhere, self-hosted where data has to stay put. We pick boring, well-documented foundations with a hiring market around them, because the second engineer to touch a system is rarely one of ours.

Handed over with the delivery platform

Each project shipped with its infrastructure defined as code, its pipeline running, and its tests inside that pipeline — the working DevOps setup, not just the application. That is what lets a client take over operations or keep us on a retainer as a genuine choice rather than a dependency.

Adopted by non-technical users

Niyantā runs on WhatsApp because site supervisors will not log into an ERP, and that decision came out of watching how the work already happened. A platform nobody uses is indistinguishable from a platform that was never built.

Still maintained

These are not launch-and-leave engagements. Security patches, dependency upgrades and platform changes continue after go-live, which is the difference between a system that is three years old and one that is three years behind. See how that works in our engagement models.

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