Our offer

Our focus lies on the practical integration of LLMs in companies. We develop the business case and service design, evaluate the existing database, implement and operate the chosen solution. Perelyn uses various technologies that are already helping companies make better-informed decisions, automate recurring processes and work more cost-effective.

→ GenAI/LLM strategy & Implementation (Product development, Software engineering)

→ Proof of Concept (PoC) & Prototyping

→ MLOps (Optimisation of existing infrastructure)

→ Similarity search, Summarisation, Guided generation

→ Benchmarking & Evaluation

→ Governance & Reporting

→ Anomaly detection

Get started now!

In order to successfully advance your LLM project, we first prepare a needs and "Maturity Assessment". In a short and targeted survey, we record your specific challenge and the current state of technical development in the company (GDPR-compliant). You will receive a report that summarises the problem in the context of your company's stage of development. Based on this, we would be happy to provide you with a service offer.

How we work

Partnerships with leading technology companies are used to the advantage of our customers and to make our services even better. In this way, we improve the customer experience, optimise the productivity of business processes, reduce costs and increase the security of our solutions. Perelyn is a certified Amazon Web Services (AWS) partner and part of the NVIDIA Inception Program. We have repeatedly proven our expertise in terms of technological knowledge and innovative potential.

The development of LLMs is not static, it is a dynamic process. And it is in full swing.

Experts

“With LLMs and Generative AI, we are taking customer experience to a new level and driving digital transformation. Our approach: Practice-oriented implementation and cost efficiency for companies that want to be more than just trend followers.”

Tech Stack

Machine Learning & AI Services

AWS Bedrock, Amazon Comprehend, Google VertexAI, Azure Open AI, HuggingFace Transformers, LangChain, LangSmith, LLamaIndex

Graphdatabases

Neo4j, FAISS, Azure Cosmos DB, Amazon Neptune

Vector Databases

Pinecone, MongoDB, Chroma, Weaviate

Deep Learning Frameworks

TensorFlow, PyTorch

Programming Languages

Python, Java, Golang, C++

Relevant insights

Generative AI
The next big leap in retail

Discover the impact of generative AI in retail. This technology unites departments, personalises content, and transforms customer experiences. Leading brands such as Coca-Cola and Walmart are already using their potential to optimise operations and drive innovation. Explore the future of retail with generative AI...

#LLM
#Generative AI
Sebastian Fetz
28.2.2024
Read
Generative AI
How do you use LLMs with internal company data?

This article explores how large language models such as ChatGPT can be integrated with proprietary data. The recent advent of large language models opens up numerous opportunities for companies, but connecting with proprietary data is a challenge in such a transformation. This article discusses the various approaches to solve this problem, such as fine-tuning and contextual learning. In addition, the associated challenges and risks are addressed.

#LLM
#Generative AI
Dominik Filipiak
19.2.2024
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Generative AI
Superhuman Assistant - LLMs as a Strategic Priority

In this article, our CEO Sebastian highlights the transformative power of large language models (LLMs) in a corporate context and provides guidance for their implementation. This is not just a dream of the future, but a strategic necessity that future-oriented companies are taking on today to drive groundbreaking innovations.

#LLM
#AI Strategy
#Generative AI
#LLMOps
Sebastian Fetz
10.1.2024
Read

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