The sovereign decision fabric. Software that holds the line.

Joined December 2020
39 Photos and videos
Sovereign decision fabric defense architecture keeps AI recommendations inside auditable, jurisdiction-controlled workflows while preserving human accountability. Read the full post at scalytics.io/blog/sovereign-…
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You can't audit a promise. Software that holds the line. Every decision on the record, inside your network, under your jurisdiction. The sovereign operating system for AI agents. Built in Europe. Open to inspection. scalytics.io
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Lascaris by Scalytics is a sovereign decision fabric for AI agents. Sense, decide, and act inside your own network, keeping data, prompts, reasoning, and decisions fully under your control. Read the full post at scalytics.io/blog/strategic-…
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The sovereign decision fabric that keeps auditable sense-decide-act loops within your boundary. AI engine, live memory graph, and agent runtime for defense, intelligence. Read the full post at scalytics.io/blog/lascaris-s…
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🚀 We’re launching Lascaris. It’s the open alternative to Palantir’s Gotham and Apollo. Lascaris is the Sovereign Decision Fabric: a fully supported AI agent operating system built for the hardest problems in defense, reactive warfare, and industry. scalytics.io/lascaris
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AI is no longer hardware-bound. It is power-bound. Scalytics Helios bridges extreme-scale compute with the physical grid. Turn massive data center demand into a dispatchable energy asset. scalytics.io/helios
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Agentic RAG adds tool chaining and looping to overcome basic RAG limits but governance remains the gap. ACP extends MCP with control layers and auditability for governed multi-agent systems in production. scalytics.io/en-gb/blog/agen…
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Centralized control planes fail for agentic AI deployed at the edge due to latency, intermittent connectivity and data sovereignty constraints. This article details how a Kafka-native Decision Fabric. Read the full post at scalytics.io/blog/policy-enf…
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EO data is generated across satellites, ground stations and institutes. Training models locally and aggregating only parameter updates scales global climate analytics while respecting data boundaries. scalytics.io/en-us/blog/eart…
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