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Enterprise-grade data query platform that supports natural language queries to databases and generates analytical results.

A data science consulting platform for designing and deploying customized AI systems and data analysis tools.

Road maintenance robot that automatically detects and seals asphalt cracks

A data science collaboration platform supporting interactive SQL and Python analysis and visualization.

AI data platform for annotating text, audio, images, video, and 3D data, plus model evaluation

A cloud platform for life science R&D, integrating experimental data, molecular design, and sample management

Tensorlake is a comprehensive AI data cloud platform designed to transform unstructured documents, images, and other file types into structured, ingestible data suitable for large language models and AI applications. It offers robust document ingestion APIs capable of parsing complex document layouts, preserving semantic structures such as tables, graphics, and text order. Additionally, Tensorlake provides a Python-based serverless workflow engine that enables users to build scalable, event-driven data pipelines and automate data transformations without managing infrastructure. The platform supports high-volume document processing with low latency and seamlessly integrates with databases and AI models to maintain data freshness and accessibility for efficient retrieval and analysis.

Soff AI is a supply chain operating system designed specifically for manufacturing enterprises, helping companies streamline procurement and supplier management processes. The platform automatically extracts information from PDFs, emails, and spreadsheets, eliminating the need for manual data entry into ERP systems. Soff also enables automated supplier communication, including automatic follow-ups on purchase orders and shipment status, as well as large-scale RFQ processes and automated three-way invoice reconciliation. By unifying supply chain data and processes, Soff helps manufacturers optimize procurement spending, improve supplier response rates, and achieve end-to-end visibility from quotation to delivery.

Midship is an advanced AI platform designed to accelerate and automate financial audit processes by transforming unstructured documents into structured, audit-ready workpapers within minutes. The platform automatically handles repetitive document audit tasks such as invoice matching, date verification, and sample testing, while ensuring full transparency and traceability of AI-generated conclusions throughout the process. Midship's AI can be customized to learn specific document formats and intelligently map data to standardized templates, supporting a wide range of document types across industries. Seamlessly integrating with existing workflows—including Excel—it enables auditors to focus on critical analysis rather than manual data entry.

HelloVerify is a leading background verification platform designed to streamline and automate screening processes for individuals and businesses. By integrating with multiple trusted data sources, it delivers instant, reliable verification of identity, employment history, education, credit scores, court records, and other critical background data. The platform replaces traditional manual and time-consuming background checks with efficient, technology-driven workflows, enhancing compliance, reducing fraud, and accelerating onboarding processes. Suitable for businesses of all sizes, HelloVerify supports hiring decisions, tenant screenings, and other verification needs through clear, actionable reports and real-time updates.

OmniAI is an advanced AI solution designed to automate document processes by reading, extracting, and structuring data from various document types, including PDFs, presentations, websites, and images. It eliminates manual data entry by converting unstructured content into actionable structured data, enabling seamless integration with data warehouses and business systems. Trusted by Fortune 500 companies, OmniAI supports scalable deployment via API and private cloud environments, and features security and compliance capabilities such as SOC 2 Type II certification and role-based access control.

Nyckel is a machine learning platform designed to simplify the creation, training, and deployment of custom image and text classification models. Users can upload their own labeled data and train models within seconds, enabling rapid iteration without requiring machine learning expertise. Nyckel's API seamlessly integrates into workflows to automate labeling, classification, and search tasks. With a focus on data security, privacy compliance, and scalability, the platform is ideal for businesses of all sizes looking to efficiently automate manual classification processes.