SPREEV

Databricks

Unified analytics and AI platform

Databricks provides a unified platform for data engineering, data science, and machine learning. It enables teams to collaborate on big data processing and AI model development at scale.

Snowflake

Cloud data platform for AI

Snowflake is a cloud-based data warehousing platform that enables organizations to store, process, and analyze large volumes of data. It supports AI and machine learning workloads with seamless integrations.

Generatebg

Generate high-res backgrounds with one click

Generatebg allows users to create high-resolution backgrounds instantly with a single click, eliminating the need for manual design work. It uses AI to produce professional-quality backgrounds suitable for various digital projects. Ideal for designers and content creators who need quick visual assets.

Microsoft Clarity

Free user behavior analytics with heatmaps.

Microsoft Clarity is a 100% free behavioral analytics tool built by Microsoft, widely used by US web developers, digital marketers, SaaS founders, and e-commerce store owners. It gives you a complete visual picture of how real visitors interact with your website — where they click, how far they scroll, and exactly where they lose interest and leave. Clarity's two core features are heatmaps and session recordings. Heatmaps show you aggregate click, scroll, and move patterns across your entire site in a color-coded visual. Session recordings let you replay individual user visits, including the ability to automatically flag frustration signals like rage clicks (rapid repeated clicking) and dead clicks (clicking on non-interactive elements). For US businesses managing CCPA compliance, Clarity is fully CCPA- and GDPR-compliant and automatically masks sensitive input fields — passwords, credit card numbers, and personal data — without any manual configuration.

Unstructured

Enterprise document ingestion & unstructured ETL pipeline for RAG

Unstructured is the leading enterprise ETL (Extract, Transform, Load) platform engineered to prepare messy, unstructured business documents for Retrieval-Augmented Generation (RAG) and LLM fine-tuning. Over 80% of enterprise data lives in complex formats like scanned PDFs, PowerPoint decks, Word files, HTML tables, and email threads that break standard text scrapers. Unstructured utilizes specialized computer vision and vision-language models to segment documents into structural semantic elements (titles, paragraphs, headers, embedded tables, and image captions) while preserving exact spatial and hierarchical context. Available as an open-source Python library and a high-throughput serverless cloud API, Unstructured integrates directly with LangChain, LlamaIndex, and major vector databases to power mission-critical enterprise knowledge retrieval.

Modal Labs

Serverless cloud for AI models, batch jobs, and GPU workloads in Python

Modal Labs is a high-performance serverless cloud platform that enables AI engineers and developers to run Python code in the cloud with instant access to thousands of CPUs, GPUs, and persistent network volumes. Founded by former Spotify CTO Erik Bernhardsson, Modal reimagines cloud computing with sub-second cold starts and zero infrastructure configuration. With Modal, you define your container image, dependencies, and GPU hardware directly inside standard Python code using simple decorators (e.g. `@app.function(gpu="H100")`). Modal handles container building, volume mounting, GPU scheduling, and automatic scaling down to zero in milliseconds, making it the premier choice for running generative AI models, ComfyUI video pipelines, and massive parallel batch jobs.