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Gavan Infotech

Capability statement & corporate profile

Engineering precision.Digital impact.

Gavan Infotech is an agile digital product engineering partner. We help growing enterprises, SMEs and digital-first businesses design, build, modernise and scale high-performance software, cloud infrastructure and data systems.

Explore services

Delivery engine

Every release passes four automated gates

Running gates
  1. 01Schema & OpenAPI validationRunning
  2. 02Shift-left Playwright E2E gateQueued
  3. 03Terraform multi-AZ deploymentQueued
  4. 04Private enterprise RAG vector syncQueued
Founder-led · a senior architect on every engagement
Direct senior engineer accessSprint 0 in 10 days
Day 1IP ownershipZero vendor lock-in
6–8 wksProduction MVPTwo-week agile sprints
99.9%Uptime architectureTerraform IaC & CI/CD

01Executive overview

Direct practitioner collaboration. Zero bureaucratic layers.

Traditional IT outsourcing is slowed by heavy management layers, opaque reporting and code that accumulates technical debt. Gavan Infotech was established to give clients direct access to skilled practitioners, complete transparency and modern engineering standards.

Our purpose

Why Gavan Infotech was established

When growing companies hire external vendors, they are often handed to non-technical coordinators while junior developers learn on their budget.

We remove the middlemen. You work directly with senior architects who validate schemas, enforce automated testing and transfer the complete repository and IP to your organisation from day one.

Open-book Git access
Segment 01

Mid-market enterprises

Businesses modernising legacy systems, automating manual workflows and migrating to the cloud without disrupting daily operations.

Legacy modernisation
Segment 02

Startups & scale-ups

Fast-growing ventures that need senior engineering capacity to turn ambitious roadmaps into production-ready web and mobile platforms.

High-velocity MVP & scale
Segment 03

Software vendors (ISVs)

Technology and SaaS companies that need a co-engineering partner to ship features, integrate third-party APIs and refactor single-tenant architecture.

Multi-tenant SaaS co-development

02The problem & our value proposition

Why software initiatives stall, and how we engineer around it

We replace fragile outsourcing practices with defensive architecture, modular code and continuous verification.

Market challenges

Why traditional vendor projects struggle

  • Transformations stall on weak foundations

    Most digital initiatives run into trouble because requirements were rushed and the architecture was never validated up front.

  • AI pilots rarely reach production

    Enterprise AI experiments stay stuck in pilot when operational data remains fragmented, siloed and uncleaned.

  • Junior resource bait-and-switch

    Vendors often assign unvetted junior resources to mid-market accounts, producing fragile code and slipping timelines.

The Gavan Infotech solution

Disciplined engineering that ships

  1. 01Architecture-first planning

    We validate relational schemas, API data flows and security requirements before application code is written.

  2. 02Clean, modular codebases

    Maintainable, containerised applications with clean data pipelines that keep your stack AI-ready and free of vendor lock-in.

  3. 03Shift-left quality assurance

    Automated regression and contract tests run on every pull request, so bugs are caught early rather than in production.

03Direction & guiding principles

Vision, mission and the values we engineer by

Vision

Architectural integrity and durable value

To be recognised across India and international markets as an exceptional digital engineering partner, respected for architectural integrity, disciplined delivery and durable business value.

Mission

Resilient products and intelligent systems

To empower growing enterprises with resilient digital products, scalable cloud environments and intelligent data systems through collaborative, transparent and disciplined engineering.

  • 01

    Engineering rigour

    Clean architecture, defensive security and long-term maintainability.

  • 02

    Radical transparency

    Direct client access to repositories, sprint boards and test metrics.

  • 03

    Value pragmatism

    Proven, production-grade tools over short-lived hype.

  • 04

    Collaborative agility

    Fast communication and personal accountability without bureaucratic delay.

  • 05

    Reliability by design

    Automated testing, continuous integration and peer review from day one.

04Core service portfolio

Full-cycle engineering practices

Select a practice to see its technical scope, recommended production stack and direct business value, or switch to the complete capability matrix.

Practice 01 — Full-stack applications & microservices

Digital Product & Custom Web Engineering

Enterprise web applications, customer portals, high-concurrency backend microservices and phased legacy modernisation without operational disruption.

Key deliverables

  • Modern single-page and server-rendered web portals
  • REST and GraphQL microservices with strict OpenAPI 3.1 contracts
  • Legacy codebases refactored into modular, containerised services
  • Multi-tenant SaaS architecture with isolated database schemas

Production stack

ReactNext.jsTypeScriptNode.jsPython (FastAPI / Django)GoJava (Spring Boot)PostgreSQLRedis

Direct business value

Faster time to market, fewer manual spreadsheet bottlenecks and clean, maintainable software your internal team can own.

05Agentic Development Lifecycle (ADLC)

AI agents accelerate the build. Engineers stay accountable.

Coding agents now write a large share of production code. We run them inside the same architecture-first, test-gated process as human engineers, never around it, so speed never comes at the cost of ownership, security or maintainability.

A continuous loop, not a one-way pipeline
  1. 01Stage 01

    Intent & context engineering

    Requirements, domain rules, schemas and coding conventions are codified into agent-readable specs: repository guides, architecture decision records and API contracts.

    Artifact: Context pack & spec

  2. 02Stage 02

    Agent-assisted design

    Agents draft options, trade-offs and sequence flows. Our architects choose, challenge and record the decision before any implementation begins.

    Artifact: Reviewed ADR & contracts

  3. 03Stage 03

    Supervised agentic build

    Agents implement in small, scoped pull requests under repository policies. Every change is reviewed by an engineer who understands the system.

    Artifact: Reviewed pull requests

  4. 04Stage 04

    Automated verification

    Agent-generated tests run alongside deterministic CI gates: contract checks, end-to-end regression and evals for any AI-powered features.

    Artifact: Test & eval report

  5. 05Stage 05

    Governed release

    Human sign-off, provenance for every commit and rollback-safe deployments. Agents prepare the release; people approve it.

    Artifact: Release record & audit trail

  6. 06Back to 01

    Observe & learn

    Production telemetry flows back into the context pack. Agents triage incidents and propose fixes, and the loop starts again with better information.

    Artifact: Telemetry-driven backlog

Non-negotiable guardrails

Agents work for the architecture, not the other way round

  • Humans own the architecture

    Agents propose; engineers decide. Schema, security and acceptance criteria are never delegated to a model.

  • Same gates for every change

    Agent-written code passes the identical review, test and CI gates as human-written code. No fast lane.

  • Full audit trail, your repository

    Every agent action is attributable and committed to your Git history. You own the code, the context pack and the tooling.

Faster first increment

Working software in the first sprint, because scaffolding, tests and boilerplate no longer wait on a human calendar.

More tests per feature

Agents make thorough test coverage cheap, so regression suites grow with every change instead of lagging behind.

Predictable review load

Small, well-described pull requests keep senior reviewers focused on design and risk rather than typing.

Start with one bounded workstream and measure the difference.

06Forward Deployed Engineer (FDE)

A senior engineer embedded in your team, shipping in your environment

Most software initiatives fail in the gap between the vendor and the people who use the system. A forward deployed engineer closes that gap by working inside your repositories, your tooling, your rituals and your time zone until the outcome is live.

Duration
Two-week to six-month embeds
Location
Remote-first in your time zone, on-site by arrangement
Ownership
Your repositories, your tooling, your IP

How an embed works

  1. 01Week 1

    Embed

    Access, stand-ups and a system map. The engineer joins your channels and reads your code before proposing anything.

  2. 02Weeks 1–2

    Map the real workflow

    Shadowing the operators and users of the system to find where the actual friction is, not where the ticket says it is.

  3. 03Weekly

    Ship in production

    Small, frequent releases into your environment, using agentic delivery where it speeds things up and your conventions everywhere.

  4. 04Final fortnight

    Hand over

    Documentation, runbooks and paired sessions so your internal team owns and extends the work after the embed ends.

When to bring in a forward deployed engineer

  • A platform or AI initiative is stuck between teams and nobody owns the last mile.
  • Your internal team is strong but short on senior capacity for a critical quarter.
  • A vendor delivered a system that never quite landed with the people who use it.
  • A modernisation needs someone on the ground who can read the legacy code and the business.
  • A pilot has to reach production, not another slide deck.

07Engineering velocity

From concept to production in weeks, not quarters

We remove boilerplate setup delays by combining rapid clickable prototyping with pre-engineered service modules.

10-day turnaround

“See it before you build it” prototyping

Interactive Figma prototypes and Storybook component libraries let stakeholders test user flows on screen before committing budget to backend code.

  • Fixed-scope cost clarity
  • No wasted rewrite cycles
  • Seamless design-to-code handoff
6–8 week launch

Production MVP in six to eight weeks

Pre-vetted architectural foundations for authentication, role-based access, billing webhooks, audit logging and CI/CD pipelines accelerate backend delivery.

  • Scoped milestones, not guesswork
  • Web, iOS and Android ready
  • Your Git repository from day one
Zero-downtime cutover

Parallel modernisation and AI readiness

No risky big-bang rewrites. We incrementally strangle legacy monoliths, clean operational schemas and integrate private enterprise RAG search safely.

  • Phased, rollback-safe releases
  • pgvector and private LLM guardrails
  • ERP, CRM and legacy wrappers

Special practice — stalled project recovery

Is your current vendor missing deadlines or shipping fragile code?

We rescue stalled builds. Instead of forcing a costly rewrite, our senior architects audit your existing repository within 48 hours, isolate the critical bottlenecks, stabilise the deployment pipeline and take over sprint delivery.

  1. Step 0148 hours

    Forensic repository audit

    Static analysis, schema lock inspection and dependency security triage.

  2. Step 02Days 3–5

    Pipeline stabilisation

    Containerising broken environments and wrapping core flows in end-to-end tests.

  3. Step 03Day 6 onward

    Go-live takeover

    Predictable two-week sprints to clear the remaining backlog and launch safely.

08Target industries & practical use cases

Pragmatic operational scenarios

Concrete engineering blueprints showing how our capabilities remove high-friction bottlenecks across key verticals.

Logistics & supply chain

Integrated dispatch console and offline driver app

A dispatch web console paired with an offline-capable driver app, connected to legacy inventory databases through secure REST APIs for real-time route tracking and automated proof of delivery.

ReactFlutterSQLite SyncNode.js

Zero lost delivery receipts

Healthcare & clinic operations

Encrypted patient intake and tele-consultation

A secure browser-based patient intake, scheduling and tele-consultation platform with strict role-based access control and encrypted relational databases to protect clinical data.

Next.jsFastAPIPostgreSQLWebRTC

End-to-end privacy governance

Financial services & NBFCs

Digital KYC onboarding and credit rule workflows

An automated onboarding and loan verification workflow that connects customer apps to national identity APIs, document OCR and automated credit scoring rules.

Java Spring BootKafkaKong APIReact

Audit-ready underwriting

B2B SaaS & ISVs

Single-tenant to multi-tenant cloud re-architecture

Legacy single-tenant applications re-architected into scalable multi-tenant platforms using containerised microservices, tenant-isolated schemas and automated CI/CD pipelines.

GoDockerKubernetesTerraform

Significant cloud FinOps savings

09Engineering governance

A six-stage disciplined delivery lifecycle

A transparent, predictable methodology designed to eliminate scope ambiguity and production surprises.

  1. Days 1–5Stage 01

    Discovery & scope framing

    Reviewing technical requirements, mapping relational data schemas and setting clear, testable acceptance criteria before code begins.

    Artifact: Scope blueprint & ERD

  2. Days 6–10Stage 02

    Solution architecture & design

    Data models, system sequence flows, OpenAPI contracts, wireframes and clickable Figma prototypes.

    Artifact: Clickable Figma & API spec

  3. Bi-weekly cadenceStage 03

    Agile sprint delivery

    Two-week sprints with strict clean-code standards, peer pull-request review and automated daily staging builds.

    Artifact: Live staging releases

  4. Continuous CI gateStage 04

    Multi-layer quality assurance

    Automated Playwright regression suites, Postman API contract validation and k6 concurrency stress tests.

    Artifact: Automated QA test report

  5. Zero downtimeStage 05

    Secure production deployment

    Blue/green releases using Terraform Infrastructure as Code, container orchestration and automated migrations.

    Artifact: Production IaC & runbooks

  6. Long-term SLAStage 06

    Platform evolution & support

    Ongoing L2/L3 maintenance, DevSecOps patching, cloud cost optimisation and feature enhancements under clear SLAs.

    Artifact: Real-time telemetry & SLA

10Founder & governance

Leadership & governance

Gavan Infotech is led by its founder, a practising senior architect who sets the firm's technical standards and personally owns architecture quality and delivery commitments on every engagement.

Governance
Hands-on architecture
Security standard
DevSecOps built in
Every engagement is structured around clean schemas, verifiable test gates and full client IP ownership from day one. Clients talk to the people who design and build their systems, not to an account layer.
Founder-led engineering leadershipFounder & Managing Director, hands-on senior architect

11The partnership advantage

Why growing enterprises choose Gavan Infotech

  • Direct senior access

    Talk to practising engineers, not layers of non-technical account managers.

  • Total IP transfer

    All source code, Figma designs and Terraform scripts belong to you from day one.

  • Open-book visibility

    Continuous real-time access to Git repositories, test dashboards and sprint boards.

Commercial flexibility

Engagement models

Three ways to work with us, matched to how your roadmap is funded and governed.

Model 01

Dedicated engineering pods

Cross-functional teams of senior developers, a QA automation engineer and an architect, integrated into your long-term product roadmap.

Monthly pod retainer

Most popularModel 02

Milestone-based fixed delivery

Well-defined projects with fixed scope, clear bi-weekly milestones, verifiable acceptance criteria and a defined commercial budget.

Guaranteed budget certainty

Model 03

Time & materials sprints

Flexible sprint-by-sprint billing, ideal for exploratory discovery, legacy refactoring or rapidly evolving product requirements.

Bi-weekly sprint agility

Due diligence & governance

Enterprise procurement FAQs

You own 100% of all intellectual property, including source code, Figma design systems, OpenAPI specifications and Terraform scripts, from day one. We commit directly into your organisation's private GitHub or GitLab repositories.

We practise strict DevSecOps and data isolation. Your proprietary documents and operational databases are indexed in private vector stores, such as pgvector inside your own VPC, with role-based access control and no training leakage to public models.

After an initial 45-minute technical consultation and an architecture blueprint proposal, we configure repositories, provision CI/CD staging environments and start Sprint Zero within ten business days.

How to get started

Three simple steps to kick off delivery

  1. 01

    Initial technical consultation

    A confidential 45-minute discussion directly with our founder and lead architect to review your project and architecture.

  2. 02

    Architecture blueprint & proposal

    A clear proposal covering stack recommendations, sprint milestones and transparent commercial terms.

  3. 03

    Sprint zero kickoff

    We configure repositories, provision automated cloud environments and start development within ten business days.

Direct commercial desk

Let's build durable software together

Reach out directly for new product engineering, legacy modernisation, QA automation or a confidential project rescue assessment.

Official website

www.gavaninfotech.com

Headquarters

India

Serving domestic and international clients

Request an architecture blueprint & proposal

Every submission is reviewed directly by our founder and lead architect.

Every submission is reviewed personally by our founder within 24 business hours.