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Our Services

Full spectrum AI led development. Every service delivered with LLM coding agents as standard, not as an add-on.

What We Build

Full spectrum AI led development

Every service we offer is now delivered with AI native tooling as standard, not as an add-on.

📞
VoIP & AI Call Centers

Over 7 years of deep telecom expertise. We build intelligent call center automation, interactive voice bots, and chatbots using FreeSWITCH, Asterisk, WebRTC, and LLMs.

Voice BotsChatbotsCall Center AutomationFreeSWITCHWebRTC
☁️
DevOps & Cloud

CI/CD pipelines, AWS/GCP/Azure infrastructure, containerisation, auto scaling, monitoring, and site reliability engineering. AI generated IaC and pipeline config as standard.

AWSDocker + K8sGitHub ActionsTerraformMonitoring
🧠
AI / ML Integration

Integrate LLM capabilities into your own products, document parsing, semantic search, intelligent screening, chatbots, sentiment analysis, and face recognition solutions.

OpenAI / Claude APIElasticsearchChatbotsFace RecognitionNLP
🔍
QA & Testing

AI generated test suites, automation frameworks, VoIP testing, and API testing. We build quality in from the start, not as a separate phase at the end of development.

PlaywrightVitest / JestAPI TestingVoIP TestingQA Automation
Our Method

How AI led development works

We don't use AI as a search engine. We deploy LLM coding agents as active members of every engineering team, executing tasks end to end under expert human oversight.

01 🏗️
Human architects, AI executes

Senior engineers design the architecture and business logic. Claude Code and Cursor agents scaffold the implementation, routes, models, tests, migrations, at machine speed.

02 🧪
Tests written automatically

AI writes unit tests, integration tests, and edge case coverage on every module as it's built. Nothing merges without a passing test suite. QA happens continuously, not at the end.

03 👁️
Every line reviewed by humans

All AI generated code is reviewed by a senior engineer before merging. Business logic, security modules, and compliance code are always written and owned by humans.

04 🚀
Ship faster, iterate faster

The result: features delivered in days rather than weeks. Faster sprints. Earlier feedback from real users. A tighter loop between your business needs and working software.

The Numbers

AI native vs. traditional development

Task by task comparison based on real project data. AI handles the volume work; humans handle the judgment work.

Development Task Traditional Team RG INSYS AI Native Speed Gain
10 CRUD API endpoints with validation8–10 developer days2–3 developer days~4×
React UI module (forms, tables, filters)5–7 developer days1–2 developer days~4×
Database schema design + migrations3–4 developer days1 developer day~3×
Third-party API integration (1 service)5–6 developer days2 developer days~3×
Full unit + integration test suite4–5 developer days1 developer day~4×
Authentication system (JWT + RBAC)6–8 developer days2–3 developer days~3×
Full-text / semantic search module8–10 developer days3–4 developer days~3×
CI/CD pipeline + cloud deployment3–4 developer days1 developer day~4×
API + technical documentation3–5 developer daysAuto generated inline~5×
Average across a full project Baseline (1×) 3–4× faster delivery ~3.5× overall
Legacy Modernisation

Is your old platform
holding you back?

Slow page loads. Developers afraid to change anything. A system that costs more to maintain every year. We've rebuilt these platforms before, and we do it without shutting you down.

1
Discovery & Audit

We spend one week auditing your existing codebase, database schema, and undocumented business logic before writing a single line of new code.

2
Modern Stack Architecture

We design the new system: Node.js + React, clean REST API, PostgreSQL with proper indexing, Redis caching, and managed cloud infrastructure.

3
AI Accelerated Build

Claude Code agents migrate business logic, generate boilerplate, write tests, and produce documentation, cutting rebuild time by 60%.

4
Parallel Cutover

New system runs alongside old during a 30–60 day stabilisation period. You switch over when you're confident, not when we tell you to.

Before vs. After, Typical Results
Page load time
Before: 10–15sAfter: <1s
Manual staff tasks per job posting
Before: 6 manual stepsAfter: 1 click
Monthly engineering cost
Traditional: $7,000–9,000/moAI native: $3,000–4,000/mo
Test coverage
Before: ~0% automatedAfter: 80%+ coverage

~60% faster rebuild
vs. traditional redevelopment approach
Our AI Tooling Stack

The agents powering our velocity

These aren't search tools or autocomplete. They're agentic systems that read your codebase, write multi file implementations, run tests, and iterate on failures, autonomously.

🤖
Claude Code

Terminal-based coding agent with full codebase access. Writes, runs, tests, and fixes code across multiple files end to end.

Primary Agent
Cursor IDE

Real-time pair programmer with full project context. Multi-file edits from natural language. 30–40% faster on all frontend work.

Daily Driver
🐙
GitHub Copilot

Inline code completion across all files. Best in class for repetitive patterns, boilerplate, and refactoring assistance.

Always On
🎨
v0.dev

Instant React + Tailwind UI generation from plain English. Complex UI components in hours, not days.

UI Scaffolding
See Us in Action

Watch how we work

Get a closer look at our AI native development process, our team, and the results we deliver.

RG INSYS company video
RG INSYS company video
Free consultation, no commitment

Ready to build faster
and spend less?

Tell us about your project. We'll send a written scope, timeline, and cost estimate within 48 hours.

Typical response within 4 business hours · Flexible hours aligned to your timezone

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