LangChain

At Together AI, we believe software quality comes from research-driven innovation and genuine collaboration. Our engineers and researchers work side-by-side, contributing to open-source advancements like FlashAttention, Mamba, and RedPajama while building infrastructure that powers the next generation of AI. We optimize for impact over hierarchy - meaning you'll own substantial technical challenges from day one, whether it's designing distributed inference engines or pioneering new model architectures. We're committed to open and transparent AI systems because we believe the best outcomes for society emerge from shared knowledge. Our purpose-built GPU cloud platform empowers developers and organizations of all sizes to train, fine-tune, and deploy generative AI models without lock-in. We foster a culture of deep technical curiosity where tackling frontier problems in distributed systems, model optimization, and AI infrastructure is the norm - not the exception.

Clarifai is a full-stack AI platform founded in 2013 by Matthew Zeiler, Ph.D. The company enables organisations to build, train, deploy, and monitor AI models across the entire machine learning lifecycle, handling unstructured data in the form of images, video, text, and audio. Its platform spans data preparation, model training, MLops, and production deployment, with edge deployment supported through its Local Runners feature and large-scale compute managed via AI Compute Orchestration. The platform serves over 400,000 users across 170+ countries and provides access to more than one million AI models, delivering billions of predictions. On the infrastructure side, Clarifai has benchmarked throughput of 544 tokens per second using the GPT-OSS-120B model. Clients include Amazon, Siemens, NVIDIA, Canva, Vimeo, and OpenTable. The company has been recognised as a leader in Forrester's New Wave Computer Vision report. Clarifai's technical roots trace to the ImageNet 2013 competition, where it took all five top places in image classification. The company has raised $100 million in total funding, including a $60 million Series C round, with backing from Menlo Ventures, Union Square Ventures, Google Ventures, NVIDIA, and Qualcomm.

Duku AI builds an autonomous testing platform designed to remove the manual burden of software quality assurance. Its platform deploys AI agents that simulate real customer journeys after every build, catching failures before users encounter them. Rather than requiring teams to write and maintain test scripts, the system self-heals as codebases evolve - eliminating the flaky tests and stale test suites that slow down engineering teams. The company is led by operators with experience scaling Meta's testing infrastructure, launching Uber's global playbooks, and growing Deliveroo from its early stages to hypergrowth. That background informs both the product's technical architecture and its positioning: giving engineering and product teams the confidence to ship quickly without sacrificing reliability. Despite being a three-person team, Duku AI has reached $330,000 in revenue in 2025. The company is venture-backed.

Descript makes a video and audio editing platform built around a straightforward idea: editing should work like editing a document. Rather than working with traditional timelines, users edit by manipulating a transcript - cutting text cuts the corresponding audio or video. The platform supports solo creators and distributed teams, and claims a user base of millions. The product spans video editing, audio editing, podcast production, and collaboration tools, with an expanding suite of AI-assisted features. These include automated design and the ability to generate content from a text description. The technical domains the company works across include generative AI, speech processing, and human-centered design - with a stated emphasis on building AI that augments rather than complicates the creative process. Descript describes its team as drawing from both the creator world and the technology industry. The company places weight on human-centered design and positions itself against the complexity of conventional editing software. Its culture signals point toward a team that values invention and forward-looking thinking - people, as the company puts it, who think about things that don't yet exist.

In 2019, Edo Liberty was working as a research director at AWS and at Yahoo before that, where he witnessed the tremendous power of combining AI models and vector search to dramatically improve applications such as spam detectors and recommendation systems. While building custom vector search systems at enormous scales, he assumed there was already a packaged solution available for everyone else who didn't have access to the same engineering and data-science resources. To his surprise, there wasn't. This gap in the market led Edo to found Pinecone, creating the vector database category of solutions from scratch. The company was born from the recognition that developers and engineering teams of all sizes needed accessible storage and retrieval infrastructure for building and running state-of-the-art AI applications. This founding principle of accessibility drove Pinecone's evolution into a fully managed service known for its ease of use, enabling thousands of companies to ship AI applications faster and more confidently.

Sea12 Technologies builds AI-powered workflow orchestration platforms for critical industries, including manufacturing, logistics, construction, and facilities management. Its flagship product, Sea12 Orchestrator, integrates data across enterprises to automate entire departmental workflows end-to-end - going well beyond basic chatbot functionality to eliminate manual data entry and deliver operational efficiency at scale. The platform's technology is built around secure, high-performance backend services and cloud-based workflow execution engines, and its reach extends to millions of people daily. The engineering team brings deep expertise in distributed systems, real-time processing, and large language model (LLM) integration, with talent drawn from leading universities. The core technology stack includes Go, TypeScript, React, PostgreSQL, and Redis. Enterprise partners include Yale, Ritz, Eastern Exterior Wall Systems, and Snap-on. Technical domains: AI workflow orchestration, LLM integration, distributed systems, real-time processing, cloud-based execution Stack: Go, TypeScript, React, PostgreSQL, Redis Industries served: Manufacturing, logistics, construction, facilities management Enterprise partners: Yale, Ritz, Eastern Exterior Wall Systems, Snap-on