AI Model Development
Develop intelligent, AI-powered applications for your business, from LLM-based assistants to automated transactions and workflows.
AI that fits your business
From idea to production-ready AI
Develop highly intelligent and sophisticated AI-powered applications for your business.
Our team designs, builds and integrates large language models (LLMs) and natural-language models around your use case, from assistants that understand customers in their own language to models that automate transactions and workflows. Models are trained and fine-tuned on our in-house GPUs and grounded in the data you already have.
What we deliver
Everything you need to turn an AI idea into an application your customers use.
LLM-Powered Assistants
Conversational assistants that understand intent and answer in natural language, across your channels.
Answers Grounded in Your Data
Connect models to your documents and data lake with retrieval-augmented generation (RAG), so answers are based on your own content.
Natural Language Processing
Classify, extract and summarise information from text, documents and conversations.
Multi-lingual Models
Serve customers across markets with models that work in the languages they speak.
Automated Transactions & Workflows
Let models trigger actions and complete routine processes from start to finish.
Analytics & Human Handover
Track every interaction, and hand over to a human agent whenever it is needed.
Machine learning in production since 2017
In 2017 a mobile operator asked us to screen the content of 120 million SMS a day, in real time, for fraud and phishing, in a language our team did not speak.
Machine learning made it possible, and we have been building ML and AI systems ever since. Today the same expertise powers WayMore, our AI-powered operating system for companies, and chat.waymore.ai, the AI platform behind it.
Big data meets in-house GPUs
AI applications draw on your data in the Hadoop ecosystem, with Delta Lake, Apache Cassandra and Trino providing context and Apache Kafka streaming real-time events, while models are trained and fine-tuned on AMD Telecom's in-house GPU infrastructure.
How we work
Easy consultation up front, and enhancement and support long after launch.
1. Consult
Define the use case, the success metrics and the data available, together with your team.
2. Build & Fine-tune
Develop the application and fine-tune the model on your data, validated with you at every step.
3. Enhance & Support
Deployment, monitoring and continuous improvement as your business and your data evolve.
Explore our Data & AI services
Each service stands on its own, and together they take you from raw data to AI in production.
AI Model Training
Train and fine-tune deep-learning models and LLMs on our in-house GPUs, with data collected at scale.
Model Development
Predictive and machine-learning models for forecasting, scoring and anomaly detection, built on big data.
Data Cleansing
Eliminate errors and inconsistencies with automated cleansing pipelines that keep your data reliable.