Products

The TRACEABILITY Studio is a specialized product of SES ENGINEERING Studio (SES), fully devoted to the semantic traceability of any engineering item produced along the System Life Cycle. It can either work inside SES ENGINEERING Studio as a capability or as a Stand-Alone product TRACEABILITY Studio enables full, agnostic, and semantic traceability among workproducts even if they provide from different tools and different tool vendors. In essence, any workproduct (item, object...) managed by any

High performance knowledge graph and semantic reasoning engine.

RocketML's Image Embeddings using Singular Value Decomposition (SVD is a powerful algorithm designed to transform batches of images into meaningful vector representations. By applying SVD, this solution captures essential features of images, enabling efficient semantic search, dimensionality reduction, and anomaly detection. Integrated seamlessly with AWS infrastructure, it offers scalable and high-performance processing for large image datasets. Key Features and Functionality: - Semantic Sear

PageIndex is an advanced, reasoning-based Retrieval-Augmented Generation (RAG) engine tailored for analyzing extensive documents. Unlike traditional vector-based systems, it employs a vectorless approach, transforming documents into hierarchical tree structures. This method enables Large Language Models (LLMs) to navigate and extract information with human-like precision, ensuring higher accuracy and enhanced explainability without the need for vector databases or document chunking. Key Feature

ThinkSound AI is an innovative platform that transforms video content into rich, contextual audio using advanced Chain-of-Thought reasoning technology. By analyzing visual elements, it generates semantically coherent soundscapes through a three-stage process, making professional audio creation accessible to all. Key Features and Functionality: - Advanced AI Engine: Utilizes a state-of-the-art text-to-speech model with neural voice synthesis to produce studio-quality audio. - Interactive Audio

DataOS is the data activation layer for AI, applications, and analytics. It sits on top of an organization’s existing data stack and unifies semantics, governance, quality, lineage, and access into a single, reusable operating capability, without requiring rip-and-replace. Built to serve not only human analysts but also AI agents and automated workflows, DataOS makes data consistent, trusted, and ready for action at machine speed. DataOS delivers AI-ready data through four core pillars: 1) C

Basin MCP is a reliability-focused quality assurance (QA) infrastructure tool designed to enhance the dependability of AI-powered code generation. It integrates seamlessly with AI coding assistants like Cursor and Windsurf, aiming to prevent code generation errors, commonly referred to as "hallucinations," by rigorously testing the output and providing immediate feedback for improvement. This process ensures that developers can produce reliable, high-quality code with greater confidence. Key Fe

Ohmybot is an advanced AI-powered chatbot designed to enhance user engagement and streamline customer interactions. It offers a comprehensive suite of features tailored to meet diverse business needs, ensuring efficient and effective communication. Key Features and Functionality: - Access to Public Repositories: Users can interact with and retrieve information from all public repositories, facilitating seamless data access. - 10GB Private Repository: Provides a substantial private storage capa

AI company building semantic search, dental AI, and enterprise AI solutions

Semantic memory engine for AI apps and (LLM) Agents to improve the reliability of your AI infrastructure

Vespa Drones provides you with complete solutions for unmanned aerial vehicles, drones and copters. Vespa Drones offers its vast portfolio of products which are always up to date.

aiomatic provides an AI-driven predictive maintenance platform that helps manufacturers detect machine faults weeks before they lead to failures. By analyzing existing machine and process data, the software identifies anomalies, predicts potential damage such as bearing or motor issues, and supports maintenance teams with clear, actionable insights. This enables companies to reduce unplanned downtime, optimize maintenance cycles, and lower overall costs without the need for complex IT projects o

Anboto provides web customer service and e-Commerce technology based on semantics and natural language processing.

Qdrant is a high-performance, composable vector search engine built in Rust for production-grade semantic, hybrid, and agentic workloads.

THINK!EHR PLATFORM, build semantically interoperable applications, enterprise clinical information systems and apps for modern mobile devices.

Semantic integrity. Operational enforcement. Structured ontology. A manufacturing ERP that treats data architecture as a first-class concern.

Color palette generator for design systems. Create palette, map primitive and semantic tokens, export to CSS, Tailwind, and JSON.

PunBB is a fast and lightweight PHP-powered discussion board system designed to be a simpler and more efficient alternative to other forum software. Its primary goals are to be faster, smaller, and less graphically intensive compared to other discussion boards. PunBB has fewer features than many other discussion boards but is generally faster and outputs smaller, semantically correct XHTML-compliant pages. Key Features and Functionality: - Lightweight Design: PunBB is designed to be faster an

Basic Memory is a local-first knowledge management system designed to transform AI interactions into a persistent, interconnected knowledge base. By storing information in standard Markdown files on your local machine, it ensures complete data ownership and privacy. The system builds a semantic knowledge graph from these files, enabling both humans and AI to collaboratively create, edit, and enhance knowledge structures over time. Key Features and Functionality: - Local-First Storage: All data

LLMLingua is a suite of prompt compression techniques designed to enhance the efficiency and performance of large language models (LLMs) by reducing the length of input prompts without significant loss of information. By intelligently compressing prompts, LLMLingua addresses challenges such as increased computational costs, latency, and context window limitations associated with lengthy inputs. Key Features and Functionality: - Coarse-to-Fine Compression: Utilizes a budget controller to mainta