AI-Powered Software

AI Development

We build AI systems that ship. From autonomous agents and MCP servers to production-grade pipelines and LLM integration, our full-stack AI team turns hype into measurable business outcomes.

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What We Build

AI Expertise.
Real Impact.

We've shipped 30+ production-ready AI solutions across SaaS platforms, internal tools, and customer-facing products. From autonomous agents to data pipelines, our full-stack AI team delivers systems that work on day one — and keep working at scale.

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AI Consulting

We audit your workflows, identify high-impact opportunities, and define a practical roadmap. You invest in use cases that create measurable value, not hype.

AI Agents

Autonomous agents that reason, take action, and improve over time. Designed for support, analysis, content, and operations, with human oversight built in.

MCP Server

We build Model Context Protocol servers that provide secure, real-time access to your tools, databases, and APIs. We ship MCP in real production environments.

Pipelines

Production-grade data and AI pipelines covering ingestion, transformation, embedding, and fine-tuning. Built for reliability, visibility, and cost control.

Automations

We replace manual work with reliable automation. From document processing to reporting pipelines, we build systems that run without constant oversight.

LLM Integration

RAG search, summarization, intelligent routing, and context-aware interfaces integrated into your existing systems. No rebuilds. Just smarter software.

A Secure HR & Company-Management Platform Built In-House

Growee is an HR and company-management SaaS we built end-to-end — leave management, time tracking, invoicing, evaluations, document handling and reporting in one secure platform, with Laravel + Vue.js and a CTD-audited security posture.

Vue.js
Laravel
Full-Stack Development

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What Sets Us Apart

Why Teams Choose Us for AI

Production-First Mindset

We do not stop at proof of concept. Every AI system is built for production, with monitoring, fallbacks, and cost controls in place from day one.

Full-Stack AI Team

From prompt engineering and fine-tuning to backend infrastructure and frontend integration, one team owns the entire system.

Transparent & Iterative

Weekly demos, shared repositories, and clear timelines. You see progress every sprint, not just at delivery.

Proven Technology Stack

We work with OpenAI, Anthropic Claude, LangChain, vector databases, and MCP. We choose the right tools for your problem, not what is trending.

Data-Driven Decisions

AI systems instrumented from the start. Analytics, monitoring, error tracking, and performance metrics guide every decision.

Responsible AI

Guardrails, human oversight, and cost awareness are built in. Safe, explainable systems with no surprise bills.

What Clients Say

Client Reviews That Say It Best

Portrait of Khaled Kteily — Khaled Kteily — Founder & CEO
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Companies that trust us

Together From 2018

From early-stage startups to global enterprises, we've helped companies across industries ship complete products and scale with confidence. Backend, frontend, mobile, and AI, all under one roof, with a team that stays with you for the long run.

Ready to build something that lasts?

Bring us your idea, your challenge, or just a rough brief. We'll help you figure out the rest.

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COMMON QUESTIONS

AI Development FAQ

How do you price AI projects?

Most of our AI engagements are time-and-materials with a clear scope and milestones. For well-defined projects, we offer fixed-price phases so you always know what you're paying for.

Custom AI or off-the-shelf tools?

We start with what already exists. If a managed model or SaaS solves your problem, we'll integrate it. We only build custom when off-the-shelf tools fall short on accuracy, cost, or control.

How long does a typical AI project take?

A focused proof of concept usually ships in 4 to 6 weeks. Production-ready systems with monitoring, evaluations, and integrations typically run 3 to 6 months depending on scope.

Can you work with our existing tech stack?

Yes. We integrate with whatever you already run — Node, Python, Ruby, .NET, Vue, React, Postgres, your cloud, your queues. We add AI capabilities without forcing a rewrite.

What if we're not sure where AI fits?

Start with our AI Consulting engagement. We audit your workflows, identify the highest-impact opportunities, and give you a practical roadmap so you invest in use cases that move the business.

What is MCP server development?

Model Context Protocol servers give AI assistants secure, real-time access to your tools, databases, and APIs. We build production MCP servers that expose your systems to LLMs with proper auth, rate limits, and observability.

Can you help us hire or build an internal AI team?

Yes. We can run AI delivery alongside your team, mentor your engineers on prompts, evaluations, and infrastructure, and help you ramp up internal hires so the capability stays with you.

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