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10th December 2024

Sherlock – AI platform from CloudFerro

We proudly introduce Sherlock, an innovative platform providing access to advanced AI models. This groundbreaking development opens new possibilities for companies and organizations seeking to leverage the potential of artificial intelligence.

Sherlock is an innovative Generative AI service created by CloudFerro. The platform is designed for organizations aiming to utilize AI capabilities without the need to manage complex infrastructure. By using endpoints compatible with OpenAI libraries, Sherlock ensures seamless integration with existing solutions, allowing businesses to focus on innovation instead of technical challenges.

Sherlock – security and data privacy

One of Sherlock's core pillars is data security. The models operate within a Polish data center, which ensures that data is always fully protected and remains under the user’s control. Moreover, users’s data inputted into the platform are neither stored nor used for further model training. This approach makes Sherlock an ideal solution for sectors demanding the highest standards of privacy, such as healthcare, public administration, and banking.

A rich variety of advanced AI models

Sherlock offers language models customized for various applications. Bielik 11B v2.3 Instruct is the first advanced language model developed specifically for Polish-language data, created in collaboration with the open-science initiative SpeakLeash (Spichlerz) and the Academic Computer Centre Cyfronet AGH. This model delivers a unique ability to process Polish-language documents and datasets, capturing local nuances and cultural specifics in communication. Meanwhile, Llama 3.1 70B is the largest and most advanced model in the lineup, perfect for complex multilingual tasks involving in-depth analysis and content generation. Both models are easily integrated via a standard API compatible with OpenAI.

The Sherlock platform also provides access to two embedding models: BGE-Multilingual-Gemma2 and e5-mistral-7b-instruct, which enable advanced semantic search systems and large-scale data analysis. For instance, Sherlock can be employed to develop systems that identify key similarities between texts, making it especially valuable in fields such as law, medicine, and science.

Seamless Integration

Sherlock is designed with maximum integration simplicity in mind. You only need to replace a few lines of code in the popular OpenAI library:

from openai import OpenAI
import os
client = OpenAI(
    api_key=os.environ['SHERLOCK_API_KEY'],
    base_url="https://api-sherlock.cloudferro.com/openai/v1"
)
model = "Llama-3.1-70B-Instruct"

This simplicity means that organizations can quickly start using advanced AI models without complex integration processes or changes to their existing infrastructure.

Versatile applications

The platform offers models tailored to various use cases:

  • Conversational and dialogue systems enabling natural interactions with users.
  • Advanced document analysis and content generation.
  • Automation of complex workflows.
  • Advanced RAG (Retrieval-Augmented Generation) implementations, allowing the creation of intelligent systems that answer questions based on proprietary knowledge bases.

As Sherlock is a high-performance cloud-based platform equipped with powerful GPU processors, the user does not need to invest in and manage their own IT infrastructure. Organizations can immediately start using advanced AI models, focusing on developing their solutions rather than managing technical infrastructure.

The development of the AI ecosystem and the future of the Sherlock platform

Sherlock is part of a larger technological ecosystem created by experienced specialists and innovative companies. CloudFerro is building a network of business connections and opportunities, fostering the development of advanced AI solutions. This pragmatic approach lets us create tangible business value based on the latest advancements in artificial intelligence.

Sherlock shows that local, independent AI solutions can not only match global players, but also offer value that models developed with an international audience in mind will not provide. This is a step towards decentralised AI development based on local knowledge, resources and needs.

The launch of the platform is just the beginning of ambitious development plans. In the near future, Sherlock will be systematically expanded to include:

  • Additional open AI models.
  • Capabilities for image interpretation and generation.
  • Dedicated models for Earth Observation (planned for Q1 2025).

As an experienced provider of cloud services for the most demanding sectors, CloudFerro guarantees not only high-quality services but also dedicated technical support from a team of experts. Our knowledge and experience in handling advanced projects for the space and climate research sectors allow us to deliver reliable and scalable AI solutions.

AI embeddings for Earth Observation

As a result of CloudFerro’s cooperation with Φ-lab, a research laboratory of the European Space Agency (ESA),global AI embeddings for Earth Observation have been introduced. These embeddings transform vast satellite data collections into easily analysable vector-based numerical representations. Embeddings, i.e. vector image descriptions processed by artificial intelligence models, are gaining increasing importance in Earth Observation. They can be utilised by remote sensing scientists, GIS analysts, and environmental researchers working with satellite imagery and geospatial data. By processing over 62 TB of data from the Copernicus program and leveraging advanced AI models like DINOv2, 170 million embeddings have been created, significantly simplifying and accelerating work in remote sensing and environmental management.

The creation of embeddings for Earth Observation stems from CloudFerro's specialisation in the space sector. The company provides innovative cloud services for processing and storing multi-petabyte satellite data collections for Earth Observation and is the prime contractor for key projects for the European Space Agency. Together with consortium partners, CloudFerro develops and operates the Copernicus Data Space Ecosystem platform, the primary access point to data from the Copernicus programme.