The Scalytics Blog

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Intelligent Routing for Event-Driven Systems: The Scalytics Connect DLQ Agent

The Scalytics Assist DLQ Agent addresses challenges in regulated data environments by using AI-based routing to manage dead letter queue messages within Kafka-based systems. It comprises containerized agents for message analysis and routing, along with a management system for monitoring. This system ensures traceability and governance through a transparent decision-making pipeline and audit logs. Scalytics Connect provides a secure infrastructure for these operations, maintaining data within enterprise boundaries.

AI-Powered Proposal Intelligence with Scalytics Strategic Proposal Assistant

The Scalytics Strategic Proposal Assistant uses AI to revolutionize responses to client briefs, saving time and improving accuracy. Manual reviews are slow and error-prone; this system delivers extracted requirements, capability matches, risk assessments, and strategic advice in minutes. Powered by the DSO-Agent, it ensures responses are data-driven, transparent, and compliant. Each recommendation includes a trust score, enhancing confidence. Integrating with internal data, it unlocks hidden knowledge. Operating securely, it protects data privacy.

Introducing DSO-Agent for Grounded, Trustworthy, and Relevant Deep Search

Scalytics introduces DSO-Agent, a groundbreaking framework designed to address key challenges in AI-powered deep search. This blog post explores how DSO-Agent's distributed microservice architecture, iterative verification loops (featuring a "Librarian Check"), and explicit trust scoring mechanisms significantly enhance the factual grounding, trustworthiness, and contextual relevance of AI agents using open LLMs like Mistral and Llama. By engineering for reliability through methodical information retrieval, critical review, and quantifiable confidence, DSO-Agent aims to make AI agents more dependable for complex, knowledge-intensive tasks. The post details the core workflow, including its innovative approach to quantifying trust with the T_score formula, and discusses the impact of this technology on building more reliable AI systems for the future.

Benchmarking Contextual AI

Scalytics introduces SynthLink, an open-source framework for benchmarking contextual AI in enterprise settings. Unlike simple Q&A tests, SynthLink’s 60 multi-hop challenges measure an AI’s ability to link evidence, verify claims, and synthesize insights across diverse sources. A transparent five-metric scoring system—covering answer accuracy (F1), retrieval precision (P@5), reasoning quality (RQS), fact-checking (FCS), and iterative efficiency (IE)—yields an aggregate score that reflects research-grade performance.

Scalytics Connect - The Runtime for Open Models

Scalytics Connect is the missing runtime for securely operating open-source LLMs in enterprise environments. It solves the core limitations of stateless, blocking models—adding session-aware queuing, enforced system prompts, context window management, and global privacy controls. With full audit logs, admin-configurable behavior, and a token-aware inference router, Connect turns raw model weights into a compliant, reliable AI stack. Built for real-world usage, not just demos.

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Blog
Intelligent Routing for Event-Driven Systems: The Scalytics Connect DLQ Agent
AI-Powered Proposal Intelligence with Scalytics Strategic Proposal Assistant
Introducing DSO-Agent for Grounded, Trustworthy, and Relevant Deep Search
Benchmarking Contextual AI
Scalytics Connect - The Runtime for Open Models
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