Search Companies

Pangolin is an open-source, identity-aware remote access platform built on WireGuard that enables secure, seamless connectivity to private and public resources. It combines a tunneled reverse proxy with zero trust access controls, allowing organizations to expose internal applications and infrastructure without complex firewall configurations.

Scira is an open-source AI-powered research agent that searches the web in depth, cites every claim, and connects to 100+ apps via MCP. Built by solo founder Zaid Mukaddam and licensed under AGPL-3.0, Scira offers 18 search modes including web, academic, X, stocks, and code search. It supports 100+ AI models from major providers and features agentic research capabilities, scheduled lookouts, voice mode, and AI image generation. Scira has surpassed 5M+ searches and 100K+ users, with 11.7k+ GitHub stars.

Malak is an open-source investor relationship management platform built for startup founders. It enables founders to send rich investor updates via email, track and share key performance indicators and metrics from integrations such as Stripe, Brex, Mercury, and QuickBooks, manage pitch decks and data rooms, and run a fundraising pipeline CRM. The platform is self-hostable on a founder's own infrastructure or available as a hosted cloud service at app.malak.vc, and is built on Golang, PostgreSQL, Redis, and Next.js.

Stella is an open-source legal workspace for legal teams, offering matter management, document storage, AI-powered document review, and a tabular review tool for analyzing documents at scale. The platform is free to use for core features, with AI capabilities available on a bring-your-own-key basis, and can be self-hosted on a team's own infrastructure. Stella is built around principles of transparency, data portability, and responsible AI use, with all AI outputs grounded in citations and traceable source material.

dbt Labs develops dbt (data build tool), an open-source framework that enables data analysts and engineers to transform raw data in their warehouses using SQL-based models. The company pioneered the practice of analytics engineering and offers dbt Cloud, a managed service for running dbt in production with collaboration, scheduling, and governance features. dbt Labs also maintains the dbt Semantic Layer, which allows teams to define business metrics centrally and query them consistently across tools.

Maxim AI builds Bifrost, an open-source high-performance AI gateway that provides unified access to 23+ LLM providers through a single OpenAI-compatible API, with automatic failover, load balancing, semantic caching, and enterprise guardrails. The company also offers a commercial AI evaluation and observability platform that helps engineering teams test, simulate, and monitor AI agents and applications throughout the development lifecycle.

dstack is an open-source control plane for provisioning compute and running AI workloads across GPU clouds, Kubernetes, and bare-metal clusters. It supports NVIDIA, AMD, TPU, and other accelerators, and provides primitives for dev environments, training tasks, inference services, and fleets. dstack is designed for both engineers and AI agents, offering a unified interface that eliminates the need for Kubernetes or Slurm expertise.

DeepSeek is an AI company focused on developing and applying advanced artificial intelligence technologies. Their core product is built on large language models and aims to serve enterprise clients. They specialize in tools and solutions for various industries.

Zyphra is an open-source AI research company focused on building frontier foundation models and AI infrastructure. The company develops state-space and hybrid architectures for large language models, as well as multimodal and text-to-speech systems. Zyphra's models, including the Zamba and Zonos series, are released under open licenses and are designed for high performance at competitive price-to-performance ratios. The company is backed by IBM and AMD and targets enterprise AI deployments.

NanoCo is the company behind NanoClaw, a secure, lightweight, open-source AI agent framework that runs in containers. NanoClaw was built as a privacy-focused alternative to OpenClaw, isolating each AI agent in its own Docker container to prevent unauthorized data access. The framework supports integrations with WhatsApp, Telegram, and other communication tools, and is designed to be understood and customized by developers. NanoCo is building a commercial offering on top of the open-source project, targeting enterprise customers who need secure, auditable AI agents.

Sync-in is an open-source collaborative platform for file storage, sharing, synchronization, and real-time document editing. It is designed for organizations seeking digital sovereignty and data governance, offering granular access controls, self-hosting capabilities, and integrations with WebDAV and office editors such as OnlyOffice and Collabora Online. The platform supports Windows, macOS, and Linux desktop synchronization clients alongside a web interface, and is released under the AGPLv3 license.

FlexPrice provides a dynamic pricing platform that helps businesses optimize their pricing strategies through AI-powered analytics and real-time market data. The platform enables companies to implement flexible pricing models that respond to market conditions and customer behavior.

OpenRouter provides a platform for accessing and using large language models (LLMs) through a unified API. It focuses on simplifying the integration of various LLMs for enterprises, enabling them to leverage AI technologies effectively.

ClickHouse is an open-source, column-oriented database management system (DBMS) designed for online analytical processing (OLAP). It excels at handling massive datasets efficiently, making it a popular choice for real-time analytics, observability, business intelligence, and financial services.

VectorChord is a PostgreSQL extension developed by TensorChord that provides scalable, high-performance, and disk-efficient vector similarity search. It succeeds pgvecto.rs and uses RaBitQ compression to store vectors at significantly lower cost, enabling billions of vectors to be hosted on a single machine. VectorChord is fully compatible with pgvector data types and syntax, and supports external index builds to offload resource-intensive indexing to separate machines.