slash ai · ai solutions studio

We build the future,
token by token.

SLASH AI is an AI solutions studio in Tunis, Tunisia that builds AI agents, RAG systems, and LLM solutions — cloud or fully offline — for businesses worldwide. From model training and fine-tuning to APIs, web, and mobile apps: production AI, not demos.

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300+projects
12+industries
slashai — "shipping ai, one command at a time"⌘ /
# live — slashai studio
building with agents, llms, rag pipelines…
/deploycustomer-support agent
→ agent live · 312ms cold start
about

Why we do this work.

We believe AI should be accessible, practical, and built for the businesses that actually use it — not just the ones on a roadmap deck.

our mission

Democratize AI technology.

Make AI accessible for businesses of all sizes through innovative, scalable, and efficient solutions — no vendor lock-in, no opaque systems.

our vision

The leading AI solutions partner.

Empower businesses worldwide with intelligent automation and innovative technologies that drive real growth and real efficiency.

our core values

Four things we refuse to bend on.

  • Innovation in AI technology
  • Client-focused solutions
  • Continuous learning and adaptation
  • Ethical AI development
expertise

Deep craft, across the stack.

The fundamentals we bring to every engagement — and the reason clients stay with us past the first project.

/ ai & ml

AI & Machine Learning

Deep expertise in LLMs, neural networks, and AI architectures.

/ full-stack

Full-Stack Development

End-to-end application development from backend to frontend.

/ cloud

Cloud Solutions

Scalable cloud deployments and infrastructure management.

/ security

Security & Privacy

Enterprise-grade security and data privacy compliance.

how we work

Discovery. Build. Deploy.

A tight three-step engagement — scoped so you know what you're signing up for before a line of code is written.

01

Discovery

A 1–2 week paid scoping sprint. You get a concrete spec, a fixed-price quote, and a written decision on fit before a line of production code is written.

02

Build

Weekly demos on working software. You see every merge, every agent run, every eval. We ship the happy path in week one and iterate on real outputs, not mockups.

03

Deploy

Production handoff with runbooks, monitoring, and an SLA. Two weeks of post-launch support included — then an optional retainer for ongoing iteration.

services

Comprehensive AI solutions.

Tailored to transform your business with cutting-edge technology. Each line below is a practice we've shipped in production.

/agents

AI Agents Development

Custom AI agents powered by cutting-edge LLMs for automated workflows and intelligent decision-making.

  • Autonomous task execution
  • Multi-agent systems
  • Smart decision-making & reasoning
  • Actions on APIs and databases
/llm

LLM Solutions

Comprehensive Large Language Model services for online and offline deployments.

  • Online LLM deployment
  • Offline LLM solutions
  • Model optimization
  • Custom implementations
/train

Model Training & Fine-tuning

Expert training and fine-tuning services for domain-specific AI models.

  • Custom dataset preparation
  • Model fine-tuning
  • Performance optimization
  • Domain adaptation
/api

API Development

Robust API creation and integration for seamless AI-powered services.

  • RESTful API design
  • GraphQL implementation
  • API gateway setup
  • Third-party integrations
/frontend

Frontend Development

Modern, responsive frontend applications with intuitive user interfaces.

  • React / Angular / Vue development
  • Responsive design
  • UI/UX optimization
  • Progressive web apps
/web

Web Applications

Full-stack web application development with AI-powered features.

  • Custom web solutions
  • Cloud deployment
  • Scalable architecture
  • Real-time features
/mobile

Mobile Applications

Native and cross-platform mobile apps with AI capabilities.

  • iOS development
  • Android development
  • Cross-platform solutions
  • AI-powered features
/rag

RAG Systems

Retrieval-Augmented Generation systems for enhanced AI responses.

  • Vector databases
  • Document processing
  • Semantic search
  • Knowledge management
/whatsapp

WhatsApp Integration

AI-powered WhatsApp bots and automation solutions.

  • Automated responses
  • Customer support bots
  • Business automation
  • Multi-language support
/email

Email AI Assistants

Intelligent email automation and AI-powered email assistants.

  • Smart email replies
  • AI-powered personalization
  • Automated workflows
  • Sales lead nurturing & conversion
faq

Frequently asked questions.

Straight answers on cost, timelines, and how we build AI agents, RAG systems, and LLM solutions.

/01

What does SLASH AI do?

SLASH AI is an AI solutions studio in Tunis, Tunisia that builds custom AI systems for businesses: AI agents, LLM applications (cloud or fully offline), RAG systems, WhatsApp and email AI assistants, model training and fine-tuning, APIs, and full-stack web and mobile apps. The studio has delivered 300+ projects across 12+ industries.

/02

How much does it cost to build an AI agent?

The cost depends entirely on the scope of the build. SLASH AI delivers anything from a focused chat agent to a complete product: web applications, background workflows, and agentic systems that take real actions — pulling and writing data across your stack. Every project is scoped up front and quoted at a fixed price before work begins — get in touch for a quote.

/03

How long does it take to build a custom AI solution?

Timelines depend on the scope of the build: a focused agent, a RAG system, and a complete product — web frontends, background workflows, and agentic systems acting on your data — are very different projects. Every engagement gets a concrete delivery plan up front, and SLASH AI ships working software in weekly increments from the first week.

/04

What is a RAG system and when do I need one?

Retrieval-Augmented Generation (RAG) connects a large language model to your own documents and data, so answers are grounded in your knowledge instead of the model's generic training. You need RAG when you want an assistant that answers accurately from internal docs, policies, or product data without hallucinating.

/05

Can a large language model run offline or on-premise?

Yes. Open-weight models can run entirely on your own servers, so sensitive data never leaves your infrastructure. Offline LLMs suit companies with privacy or compliance requirements, or unreliable connectivity. SLASH AI builds both cloud-hosted and fully offline LLM solutions, including model selection, deployment, and fine-tuning.

/06

What is the difference between fine-tuning and RAG?

RAG supplies knowledge at query time by retrieving your documents; fine-tuning retrains the model itself to change its behavior, tone, or domain skills. RAG deploys faster and keeps content current; fine-tuning suits specialized formats and terminology. Many production systems SLASH AI builds combine both approaches.

/07

How does a WhatsApp AI bot work?

A WhatsApp AI bot connects the WhatsApp Business API to a large language model so it can answer customer questions, qualify leads, and book appointments 24/7 in multiple languages. SLASH AI builds production WhatsApp assistants grounded in your product data that take real actions in your systems — bookings, orders, records — with human handoff for complex cases.

/08

Does SLASH AI work with international clients?

Yes. SLASH AI works remotely with clients worldwide from Tunis, Tunisia (UTC+1), fully overlapping European business hours and US mornings, with availability from 06:00 to 23:00. The team communicates in English, French, and Arabic over WhatsApp, email, and video calls.

contacts

Get in touch.

Ready to transform your business with AI? Let's discuss how we can help you achieve your goals.

address
Tunis, Tunisia
business hours
06:00 — 23:00 UTC+1 · Tunisia

Let's build something amazing together.

Whether you need AI agents, LLM solutions, or custom applications, we're here to help transform your ideas into reality.