Scalytics Connect Blogs With The Topic: Private AI

Smart Data Concierge: Enterprise Integration in 3 Steps

Enterprise data integration typically takes 6+ months. Our Smart Data Concierge uses AI to automatically discover data sources, understand schemas, and generate access patterns—reducing integration time to days while delivering 35% cost savings through intelligent query routing.

Author:

Dr. Mirko Kämpf

RFP Response AI: Win More Proposals with AI Intelligence

RFP responses consume weeks of expert time with inconsistent results. Our Strategic Proposal Assistant retrieves relevant past proposals, identifies compliance requirements, assesses bid/no-bid risk factors, and generates tailored response drafts—improving win rates while cutting response time by 60%.

Author:

Dr. Mirko Kämpf

Deep Search AI: Grounded, Trustworthy Enterprise Search

Enterprise search needs more than semantic similarity. Our Deep Search Optimization (DSO) Agent delivers grounded results with source citations, trust scores based on source authority, and relevance ranking tuned to your domain—eliminating hallucinations in high-stakes knowledge retrieval.

Author:

Alexander Alten

SynthLink Benchmark: Testing Enterprise AI Accuracy

How accurate is your enterprise AI on complex queries? SynthLink benchmark tests multi-hop reasoning, evidence chain construction, and fact verification across 60 carefully designed questions. Evaluate Llama, Mistral, GPT-4, and Claude on real enterprise knowledge tasks.

Author:

Alexander Alten

Enterprise LLM Runtime: Deploy Open Source Models Securely

Deploying Llama or Mistral in production requires more than a GPU. Enterprise LLM runtime needs request queuing, prompt injection protection, context window management, token budgeting, and audit logging. Scalytics Connect provides the missing operational layer for self-hosted AI.

Author:

Alexander Alten

AI Agent Framework: Build Agentic RAG with Data Control

AI agents need secure access to enterprise data without centralization risks. Our Agentic RAG framework uses the Agent Communication Protocol (ACP) for controlled data access, verifiable reasoning chains, and collaborative multi-agent workflows—all while keeping data at the edge.

Author:

Alexander Alten

Agentic RAG: The Enterprise AI Architecture You're Missing

Basic RAG retrieves documents and generates responses. Agentic RAG reasons about what information it needs, uses tools to acquire it, and orchestrates multi-step workflows autonomously. Learn why Fortune 500 companies are moving from static RAG to agentic architectures.

Author:

Dr. Mirko Kämpf

Multi-Agent LLM Systems: Collaborative AI Architecture

Single AI agents hit capability limits. Multi-agent systems combine specialized agents—researchers, analysts, critics, executors—that collaborate through structured communication. Learn architecture patterns powering autonomous research, code generation, and complex enterprise workflows.

Author:

Dr. Tristan Behrens