KANTEEK / Services
Artificial Intelligence
AI shipped to production. Not just demos.
KANTEEK
Artificial Intelligence
AI has left the lab. Today, companies that actually use it gain a tangible edge, provided they bridge the gap between demos and production.
Kanteek builds industrial-grade AI: private LLMs, multilingual conversational agents, computer vision, RAG on your documents. Everything is designed to run 24/7, be auditable and respect your data sovereignty.
What we build for you
- Self-hosted private LLMs
- Llama, Mistral, Qwen, hosted on your infrastructure or a sovereign cloud. No data leaves your perimeter.
- Multilingual conversational agents
- French, English, Modern Arabic and Darija. Support chatbots, internal assistants, voice bots with dialect recognition.
- RAG on your documents
- Turn PDFs, wikis, Confluence and emails into a knowledge base queryable in natural language.
- Computer vision
- Arabic and French OCR, anomaly detection, quality control, face/document recognition for KYC.
- Fine-tuning on your data
- Specialise an open-source model on your business terminology, brand tone and real use cases.
- Evaluation & guardrails
- Automated test suites (RAGAS, LLM-as-judge), hallucination detection, full audit logs.
Illustrative AI applications
Illustrative examples, not client references or guaranteed gains. Measure scope, period, human time, errors and costs before and after a pilot.
Banking
Hybrid AI + rules credit scoring
A private LLM reads KYC docs while a tabular scorer rates solvency. Analysts keep control of edge cases.
Measure in a pilot
National e-commerce
FR / AR / EN / Darija chatbot
24/7 handles returns, order tracking, product questions. Escalates to human according to agreed validation criteria.
Measure in a pilot
Law firm
RAG over a legal corpus
Multilingual contextual search across Moroccan legal databases. Traceable citations back to source.
Measure in a pilot
How we work
- 01
Scoping workshop (1 week)
We identify 2-3 priority use cases, map your data and quantify expected ROI.
- 02
Scoped PoC (3-4 weeks)
A working prototype hooked to a sample of your data, deployed in a test environment.
- 03
Production (4-10 weeks)
Industrialisation, dedicated infra, monitoring, guardrails, technical and business team training.
- 04
Run & improve
SLA support, periodic retraining, continuous improvement based on user feedback.
Our AI stack
- Llama 3.1
- Mistral Large
- Qwen 2.5
- Claude API
- OpenAI API
- LangChain
- LlamaIndex
- vLLM
- Ollama
- Pinecone
- FAISS
- Weaviate
01How long does a typical AI project take?
A useful PoC runs in 3 to 4 weeks. Full production (integrated into your IS, with monitoring and guardrails) takes 2 to 4 months depending on complexity. We ship in increments, never in tunnels.
02Do you need GPUs at our side?
Not necessarily. We can host on your cloud, on a Moroccan sovereign cloud (OCP), European (OVH, Scaleway) or American. For small volumes, a single A100 80GB is enough. Very large models can also be called via API (Claude, GPT-4o) through a zero-retention proxy.
03How do you handle Modern Arabic and Darija?
We use natively multilingual models (Qwen 2.5, Mistral Large) and fine-tune on Darija corpora when relevant. For speech, we combine Whisper with post-processing specific to Moroccan Arabic.
04Does my data stay confidential?
Yes. With a self-hosted private LLM, no data leaves your infrastructure. Logs are encrypted and audited. We sign NDAs and can host in fully air-gapped environments if required.
05How do you measure AI quality?
We define metrics at scoping time: precision, recall, hallucination rate, user satisfaction. We use RAGAS, LLM-as-judge, and manually-curated test sets. Everything is reported in a dashboard you can consult at any time.
06Can you fine-tune a model on our data?
Yes, it's one of our specialities. We use LoRA/QLoRA to keep costs down. For a 10,000-example dataset, fine-tuning takes 12-24h and costs about €300-800 in compute.
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KANTEEK / Contact us
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