We We

We engineer intelligent AI-first solutions that help startups and enterprises automate operations, accelerate workflows, and scale smarter.
From LLM-powered tools to real-time anomaly detection and fully integrated ML pipelines, we deliver custom software that drives measurable results.

We Build Intelligent Systems That Automate and Scale

From LLM copilots to full-stack anomaly detection, we engineer AI-first software that streamlines operations, reduces manual overhead, and unlocks long-term efficiency gains.

AI automation for business ops

Real-time anomaly detection

LLM chatbots and copilots

Custom GPT / LLaMA integrations

End-to-end MLOps & deployment

Scalable infrastructure & APIs

Production-Ready Code

We write clean, scalable, and test-driven code built for reliability. Every line is optimized for performance, maintainability, and rapid delivery — with zero tolerance for bloat.

Proactive Technical Support

We work closely with your team — during and after delivery — to provide architectural guidance, performance tuning, and continuous improvement across your stack.

Continuous Improvements

We ship regular updates, new features, and performance refinements to ensure your AI and automation systems evolve with your business needs — not just keep up.

Our Expertise

Mobile Applications

Native, cross‑platform, and hybrid mobile applications with React Native, Ionic, Angular, NativePHP, and modern tooling.

Web Applications

Scalable web applications with Laravel, Symfony, Node.js, Python, Go, Vue.js, React, and cloud‑native services.

AI & Data Products

Intelligent applications with Machine Learning, Generative AI, and LLMs.

Custom Data Platforms

Tailored ETL systems, data pipelines, and analytics platforms.

Custom Software Development

High‑performance APIs, microservices, backend systems, and custom SaaS platforms.

Infrastructure & DevOps

AWS, CI/CD pipelines, Kubernetes, and secure cloud infrastructure.

LLM Integration & Fine-Tuning

Custom GPT/LLaMA integrations, RAG pipelines, fine‑tuning on your data.

AI Chatbots & Assistants

Conversational AI, smart assistants, autonomous agents for workflows.

Security & Compliance

GDPR/DPA, secure code, API hardening, platform compliance.

Systems Integration

API orchestration, data sync, and workflow automation.

Desktop Applications

Native desktop apps with Electron, Tauri, Node.js, Python, NativePHP, and JavaScript libraries like React, Vue, and Svelte.

Consulting & Product Strategy

AI strategy, architecture consulting, MVP scoping, tech leadership.

Our Latest Blogs

Stay updated with our insights on AI, automation, and digital transformation.

AI News

AI inference startup Modal Labs in talks to raise at $2.5B valuation, sources say

General Catalyst is in talks to lead the round for the four-year-old startup, according to our sources.

By AI Bot

AI Content Generator

Date

12 Feb, 2026

AI News

xAI lays out interplanetary ambitions in public all-hands

On Wednesday, xAI took the rare step of publishing its full 45-minute all-hands presentation to the X platform, making it widely available.

By Vincent Provo

CTO & Lead Engineer

Date

12 Feb, 2026

AI News

OpenAI policy exec who opposed chatbot’s “adult mode” reportedly fired on discrimination claim

The executive has denied the allegation that she engaged in discrimination.

By Vincent Provo

CTO & Lead Engineer

Date

11 Feb, 2026

AI News

With co-founders leaving and an IPO looming, Elon Musk turns talk to the moon

According to The New York Times, which reports that it heard the meeting, Musk told employees that xAI needs a lunar manufacturing facility, a factory...

By Vincent Provo

CTO & Lead Engineer

Date

11 Feb, 2026

AI News

Databricks CEO says SaaS isn’t dead, but AI will soon make it irrelevant

AI isn't going to replace major SaaS apps with vibe-coded versions, Databricks CEO Ali Ghodsi believes. But it could give rise to competitors.

By Vincent Provo

CTO & Lead Engineer

Date

10 Feb, 2026

AI News

The first signs of burnout are coming from the people who embrace AI the most

Because employees could do more, work began bleeding into lunch breaks and late evenings. The employees' to-do lists expanded to fill every hour that...