AI Solutions

AI agents, WhatsApp and website chatbots, augmented search (RAG) connected to your business data.

We integrate artificial intelligence into your products and processes: conversational agents, RAG, voice AI, LLM fine-tuning, and intelligent automation. From POC to production.

Learn more

Features

WhatsApp chatbot ready quickly
Knowledge base connected to your data
Autonomous agents for your business processes
Performance and cost monitoring

Benefits

Autonomous AI agents for your business processes
RAG to leverage your internal data
Voice AI for reception and prospecting
Domain-adapted LLM fine-tuning

Process

01

AI Scoping

Identifying high-impact AI use cases for your business.

02

Rapid POC

Functional prototype in 2-4 weeks to validate feasibility.

03

Data Collection & Prep

Cleaning, structuring, and vectorizing your data.

04

Model Development

LLM integration, RAG pipeline, or fine-tuning as needed.

05

Testing & Evaluation

Quality benchmarks, user testing, and adjustments.

06

Deploy & Scale

Production deployment with performance and cost monitoring.

Our Work

Voice AI Prospecting Agent

Autonomous voice agent for cold-calling with VAD, Whisper STT, and fine-tuned LLM for B2B prospecting.

Voice AIWhisperLLMRAG

B2B Platform Dartank

Full CRM with prospect management, Stripe billing, and Zoho sync for a distribution company.

ReactFlaskSupabaseStripe

African Fashion E-commerce

Online store with AI recommendations, Meilisearch, and multi-currency payments.

framework SSRDrizzleMeilisearchStripe

Ready to bring your project to life?

Let's discuss your needs and find the perfect solution together.

Start a Project

Free quote · reply within 24h

Frequently asked questions

Quick answers about this service.

Chatbots, RAG agents on internal documents, Voice AI for phone/WhatsApp, autonomous agents (extraction, classification, reports).

LLMs: OpenAI GPT-4o, Claude 4.7, Mistral Large. Orchestration: LangChain, LlamaIndex. Vector DBs: Pinecone, Weaviate, pgvector, Qdrant. Voice: Whisper, ElevenLabs, Vapi.

Pipeline: (1) document ingestion → chunks; (2) vector embeddings; (3) vector DB storage; (4) retrieval + LLM generation. Accuracy 85-98%.

🍪 We use cookies

We use cookies to analyze site traffic and improve your experience. By accepting, you consent to our use of cookies for analytics. See our Privacy Policy.