Multilingual AI Consulting

We build intelligent AI solutions for modern organizations

From chatbots to agentic systems, we deliver robust production-ready solutions with clean architecture.

Start a Project Explore Services

Projects

Industries

Support

GPC Neural Engine v3.2 Live

$ Initializing AI pipeline ...

→ LLM loaded: GPT-5 + RAG engine

→ Vector DB connected (1.2M docs)

→ Agent orchestration ready

✓ System ready · Latency: 42ms

Technology Stack

🧠 GPT-5 🔗 LangChain 📚 RAG 📐 Vector DB 🐍 Python ⚡ FastAPI 🔥 PyTorch 🤗 Hugging Face ✨ Claude Opus 🐳 Docker ☸️ Kubernetes ☁️ Azure AI 🦙 LlamaIndex 🌲 Pinecone 🤖 Agents 🎤 Whisper 🧠 GPT-5 🔗 LangChain 📚 RAG 📐 Vector DB 🐍 Python ⚡ FastAPI 🔥 PyTorch 🤗 Hugging Face ✨ Claude Opus 🐳 Docker ☸️ Kubernetes ☁️ Azure AI 🦙 LlamaIndex 🌲 Pinecone 🤖 Agents 🎤 Whisper

Core Services

Practical AI services from strategy to implementation — and much more.

Medical AI Projects

Specialized AI solutions for clinical triage, report analysis, and medical decision support.

Emergency Services Projects

AI and platform solutions for dispatch centers, incident coordination, prioritization, and emergency documentation.

AI Chatbots

Intelligent chatbots with natural language processing for customer support, internal workflows, and personalized interactions.

Workflow Automation

Automate recurring business processes with AI-powered pipelines and intelligent decision logic.

AI Agents

Autonomous AI agents that independently plan, execute, and optimize complex tasks.

RAG Systems

Retrieval-Augmented Generation for precise, context-aware answers from your enterprise data.

LLM Training

Fine-tuning and training large language models for your specific use cases and domains.

Web Platforms

Custom web platforms for healthcare, care services, security firms, and more – scalable, secure, and user-centered.

For Students & Startups

Workshops for Students & Startups

From AI basics to your own prototype — we guide you from idea to product.

Learn More

AI Engineering

Our AI Pipeline

From idea to production-ready AI in weeks

From Idea to Product – in Minutes

Enter a prompt – our AI generates complete, deployment-ready code. From concept to running product in a single session.

Step 01

Enter Prompt

Describe your idea in natural language – no technical knowledge required.

Step 02

AI Generates Code

Claude Opus analyzes, plans, and writes complete, tested production code in seconds.

Step 03

Automatic Deployment

CI/CD pipeline deploys the code containerized to the cloud – scalable and fault-tolerant.

Step 04

Product is Live

Monitoring, logging, and auto-scaling are integrated and active from day one.

prompt_to_product.py

# Your prompt in the input field:

"Build a REST API for customer data with auth"

from anthropic import Anthropic

client = Anthropic()

response = client.messages.create(

model="claude-opus-4-7",

messages=[{

"role": "user",

"content": user_prompt

}]

)

# → Code generated, tested, deployed

✓ API live in 4 minutes

AI Fraud Detection for Insurance Claims

Incoming claims and emails are automatically analyzed for fraud indicators. Suspicious cases are escalated in real time – before any payout is made.

Step 01

Capture Emails & Claims

Automatic ingestion of all incoming claims from email, portal, and forms.

Step 02

NLP Analysis & Embedding

Texts are semantically embedded and analyzed for linguistic fraud patterns.

Step 03

Fraud Classification

Fine-tuned BERT model evaluates the risk score: legitimate, suspicious, or fraud.

Step 04

Automatic Escalation

Suspicious cases are immediately escalated to case handlers. Result: claims ratio –34% in 3 months.

fraud_detector.py

from transformers import pipeline

from claims import load_claims, flag_case

# Fine-tuned BERT fraud model

classifier = pipeline(

"text-classification",

model="ankaa/fraud-bert-v2"

)

claims = load_claims("inbox")

for claim in claims:

result = classifier(claim.text)

if result[0]["label"] == "FRAUD":

flag_case(claim, result[0]["score"])

✓ Claims ratio –34% in 3 months

Intelligent Contract Analysis & Risk Detection

Legal documents are automatically analyzed for risk clauses, liability terms, and critical deadlines. Lawyers save up to 80% reading time.

Step 01

Upload Document

PDF, DOCX, or scan – the parser extracts structured text from any format.

Step 02

RAG-Powered Extraction

Paragraphs are embedded and compared against a legal precedent knowledge base.

Step 03

Flag Risk Clauses

The model classifies clauses by risk (high / medium / low) with reasoning.

Step 04

Report & Recommendations

Structured PDF report with concrete negotiation recommendations – in under 2 minutes.

contract_analyzer.py

from langchain import LLMChain

from vectordb import PineconeStore

# RAG pipeline for contract analysis

chain = LLMChain(

model="gpt-5",

retriever=PineconeStore("legal-kb")

)

doc = parse_pdf("vertrag_2025.pdf")

risks = chain.invoke({

"task": "Find risk clauses",

"doc": doc

})

✓ 3 critical clauses · Report in 90s

Predictive Maintenance with AI & IoT

Real-time sensor data from machines is continuously analyzed. The AI model detects anomalies and predicts failures – before they happen.

Step 01

Stream Sensor Data

IoT sensors transmit vibration, temperature, pressure, and RPM in real time to the AI pipeline.

Step 02

Anomaly Detection

An LSTM network detects deviations from normal operation and triggers alerts on critical patterns.

Step 03

Risk Forecast

The model calculates failure probability for the next 48h and assesses urgency.

Step 04

Schedule Maintenance Automatically

Maintenance order is created directly in the ERP. Result: failure rate –67%, maintenance costs –41%.

maintenance_ai.py

import torch

from sensors import stream_iot, schedule_repair

# LSTM model for anomaly detection

model = torch.load("lstm-v3.pt")

stream = stream_iot(machine_id="M-447")

for reading in stream:

risk = model.predict(reading)

if risk > 0.85:

schedule_repair("M-447", risk)

✓ Failure rate –67% · Costs –41%

Medical AI

AI Solutions for Healthcare

We develop AI systems that assist physicians with diagnosis, triage, and clinical decision-making — privacy-compliant and clinically validated.

AI-powered triage and clinical case prioritization
Intelligent document analysis for medical reports
GDPR-compliant data processing and model hosting

Learn More

Enterprise Ready

We combine AI strategy, engineering, and operations for long-term productivity.

View Success Stories Learn About Us

★ What People Say

What Our Participants Say

Real feedback from workshop participants and clients.

★ ★ ★ ★ ★

Ich konnte direkt praktische Kenntnisse anwenden.

Fatima Ibrahim

NLP Workshop