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We're redefining how machine intelligence reasons about data. Sphinx is AI that thinks in statistics and patterns — not just language or code.

Enterprise search and AI agents plateau without organizational context. BehaviorGraph adds the behavioral layer — relevance, routing, escalation, and people context — so your AI knows who to route to, who's available, and how work actually flows.

Rowboat is a desktop app that turns your work into a living knowledge graph and uses it to accomplish tasks on your computer.

Schema management, source‑to‑target mapping, data lineage, and governance — all in one metadata‑driven platform.

Harness is a unified, end-to-end AI software delivery platform to manage the SDLC using purpose-built AI agents.

PromptQL is trusted by platform and AI transformation teams responsible because it eliminates the three main bottlenecks that prevent AI from working at scale.

The digital knowledge twin for critical cost surfaces. Answers your teams can act on and your organization can stand behind.

The Semantic Layer Shift: From Niche to Critical Infrastructure "By 2030, universal semantic layers will be treated as critical infrastructure, alongside data platforms and cybersecurity. Developing a universal semantic layer is now a must‑do for D&A leaders either leading or supporting AI. It is the only way to improve accuracy, manage costs, substantially cut AI debt, align multiagent systems, and stop costly inconsistencies before they spread. D&A leaders must budget for semantic capabilities as a nonnegotiable foundation." - Gartner, 2026 Two years ago, "semantic layer" was a niche term in data circles. "Ontology" often drew confused looks or worse, associations with onCology. The explosion of AI and multi-agent systems has changed everything. What was specialized technology is now mission-critical infrastructure. Why Semantic Layers Matter Now At its core, a semantic layer is metadata management on steroids. It integrates siloed data, information, and knowledge across the enterprise in a business-understandable way. The secret? Graph structures. And that makes perfect sense because enterprise information is inherently connected: customers link to orders, orders to products, products to suppliers, suppliers to contracts, and so on. The AI Amplifier Effect For AI systems, semantic layers unlock something powerful: they're simultaneously machine-readable and human-understandable. Agents can query the semantic layer to navigate complex data relationships, use it as a "lookup system" to find relevant information, then dive deeper only where needed, slashing token costs from the start. But here's where it gets interesting. At adorsys, we've extended the concept to meet todays needs. Our prototype integrates metadata about the AI ecosystem itself: - Available MCP servers - Deployed LLMs (on-premise and cloud) - Running agents and their capabilities This creates a self-aware AI infrastructure layer that can answer strategic questions like: Which business processes lack agent or tool support? What AI capabilities exist for a specific business domain? What's the impact of a 20% LLM cost increase from provider X? Which critical datasets are exposed to agents and external models? From "Nice to Have" to "Must Have" Gartner's prediction isn't aspirational, it's inevitable. Semantic layers are how we'll manage accuracy, control costs, reduce AI debt, align multi-agent systems, and prevent inconsistencies from cascading across the organization. The question isn't whether to build a semantic layer. It's whether you'll build it proactively or reactively. #semanticLayer #AI #AgenticAI #KnowledgeGraphs

AstroBee connects your marketing, sales, and analytics data into one clean data layer so you can understand performance, attribution, and pipeline in plain language, not dashboards.

Dragonfly, a London, UK-based provider of a software discovery platform, raised £2.6M in Pre-Seed funding

Graph Everywhere | 494 followers on LinkedIn. Nos obsesiona ayudar a nuestros clientes a convertir los datos en información de valor para sus negocios | GraphEverywhere es una empresa especializada en grafos. Ayudamos a nuestros clientes en diferentes sectores y a nivel mundial a obtener beneficios en sus negocios utilizando soluciones de grafos con la tecnología de Neo4j. Nos centramos en ofrecer la mejor solución para su negocio y el asesoramiento imparcial en tecnlogías noSQL.

The Blueprint-Driven Architecture for Agentic AI. Generate immutable data models that constrain AI Agents. Turn vibe coding into enterprise engineering.

Add long‑term memory to your LLM apps. Fast Memory API + Router. Store, recall, personalize in milliseconds.

Ontdek onze nieuwste inzichten en trends in de wereld van AI en data. Blijf op de hoogte van ontwikkelingen en doe inspiratie op voor jouw eigen organisatie.

ApertureDB simplifies the complexities of handling images, videos, and related metadata. We use a graph database to combine keyword and label search with vector search and multimodal data management to give you a single data layer for all your multimodal AI needs. ApertureDB is not just an enterprise ready vector database for unstructured data, but goes beyond that to provide a unified data layer to seamlessly support your entire machine learning pipeline. Try ApertureDB: https://www.aperturedata.io/demo-request

Rippletide | 1,906 followers on LinkedIn. The Database that decides : forward-deployed to make AI agents production-grade | Rippletide is building the database that decides. Large Language Models can generate language but they are not control systems. They hallucinate, drift, and ignore rules.

Not everything in AI is about LLMs—#KnowledgeGraphs are quietly powering the future. Proud to sponsor and join the Turing Knowledge Graph Symposium this year. Huge thanks to @Ernesto Jiménez-Ruiz for bringing together such a sharp group of researchers and practitioners. #KnowledgeGraphs remain the backbone of #TrustworthyAI and #ExplainableAI—and they’ll be central to the next wave that blends symbolic and statistical methods.

Graphable is one of the top data analytics, engineering, and AI companies in the nation. Let our team help you navigate your data analytics journey.

Transform your enterprise data into actionable insights with Corvic AI’s no-code solutions, featuring Automated Feature Engineering and Generative AI. Discover now!

XOPS Raises $40 Million in Funding

Discover how Aktiver helps businesses accelerate decisions with AI-driven insights, data lineage, and knowledge graph automation. See a demo today.

GNOSS Semantic Artificial Intelligence Platform permite a las organizaciones incorporar inteligencia a su negocio y construir un nuevo mundo de inventiva, crea...

Discover hidden insights with Rocketgraph’s scalable graph analytics. Analyze massive datasets swiftly and securely.

Cognee is an open source AI memory engine. Try it today to find hidden connections in your data and improve your AI infrastructure.