Your AI. Your Rules.
Your Privacy.

Run Private AI Models at Scale.
Fully Managed, Secure, and Built for Enterprise.

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Own Your AI. Secure, Private, and Built for Enterprise.

Request a Demo

How does it work?

1. Log Into Your Private AI Stack

2. Download Your Models from HuggingFace

3. Scale Your Private AI Across Teams & Countries

4. Refine Your Model With Your Data — Securely

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Watch our videos and see how we enable innovation across industries.

Blossom Sky enables Federated Learning for Data Science in any Industry

Why Scalytics Connect?

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‍✅ Privacy-First Architecture: Architected for compliance: GDPR, HIPAA, PIPL, and future-ready data governance.
✅ Fully-Managed Service: We handle deployment, optimization, and maintenance, eliminating DevOps overhead.
‍✅ Multi-Model Support: Deploy Llama, Mistral, or Gemma on your terms. Combine open models with APIs from OpenAI, Anthropic, and Gemini—all inside a secure, compliant AI stack.
✅ Enterprise Model Context Protocol (MCP): Private Semantic Search. Multimodal AI, powered by your data. Kafka-native MCP. Digital Twins. Federated AI (coming soon). All inside your environment—no leaks, no lock-in.
✅ Flexible Deployment: We support AWS, Azure, GCP, and any Linux-based on-prem or private cloud with compatible NVIDIA or similar GPUs.

Build AI Agents Where Data Lives.

With the Model Context Protocol (MCP) and next-gen federated learning at its core, Scalytics transforms how enterprises build secure, explainable AI. From Healthcare to Defense, we bring privacy, scalability, and transparency to the edge — helping organizations innovate faster, stay compliant, and unlock the true power of AI with decentralized machine learning.
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👉 Explore real-world use cases and discover how companies are scaling private AI across borders — without sacrificing control.

Backed by Leading Researchers & Trusted by Innovators

“Scalytics gave us a secure, explainable way to scale private AI models across our organization into multiple European countries — fully aligned with GDPR and the AI Act.

CTO, Large Travel Agency

“Building an efficient and scalable data architecture with Scalytics reduced our development time and costs dramatically. From demo to proof of concept in just 2 days, now I wonder why we waited so long.”

SVP Data and AI | FinTech Asia

“Easy to use API, makes the training of ML pipelines faster as it can run on distributed platforms such as Spark for example.”

Gartner Digital Markets | Verified Customer, Information Technology and Services

“What I like the most about this platform is its ease of use. One has to only express the business logic within its API, and then the platform optimizes for the underlying system usage. This way, one does not need to implement system-specific details.”

Gartner Digital Markets | Haralampos G., Research

"Ease of consulting distributed data sources, intuitive graphical interface, efficiency in data consultation, friendly use of the system.”

Gartner Digital Markets | Williams R., Especialista Tecnico

"It's an open source product, and pretty solid and stable. The simplicity to integrate - just add 3! lines into your _already_ existing code, and it does the rest.”

Gartner Digital Markets | Adam M., Principal Architect

"I could execute my Spark job on Flink by changing only one line of code. I also liked a lot the optimizer that can select the platform based on a cost model.”

Gartner Digital Markets | George P., Engineering manager

"My tasks can be transferred between platforms with just minor changes.”

Gartner Digital Markets | Matoula M., Software engineer

"I see real potential in the application that can have significant impact on pipeline creation and transformation leveraged by a larger user base. That and the obvious abstraction layer that allows for multi-data technologies to be accessed, acquired and operated on without specific subject matter expertise is invaluable."

Senior Quantitative Engineer | Treasury Engineering, US Bank

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Your AI. Your Rules.Your Privacy.