Duku AI

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.

At Baseten, we're a team of engineers and designers who believe the best products emerge when you work directly with the people using them. Our engineers spend time embedded with customers, learning from their operational challenges and turning those insights into infrastructure that just works. We ship daily, optimize obsessively, and measure our success by the real-world impact of the AI products running on our platform. We're an internationally diverse group of builders who take pride in our craft but not ourselves too seriously. Whether we're optimizing kernel-level performance for inference or building delightful developer tools, we believe software quality comes from small teams with real ownership. We optimize for shipping, not process - which is why we've been focused on rapid iteration and hands-on problem solving since day one.

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.

LangChain builds the frameworks and platforms that developers use to construct, test, and deploy AI agents and large language model (LLM) systems. Its open source offerings - the LangChain and LangGraph frameworks - together exceed 90 million downloads per month and connect to more than 1,000 integrations, making them among the most widely adopted tools in the agent engineering ecosystem. The company operates on an open-core model, pairing its open source frameworks with LangSmith, a commercial platform that adds observability, evaluation, and deployment capabilities for production LLM systems. The open source frameworks provide pre-built architectures and developer tooling for assembling AI agents, while LangSmith addresses the reliability and monitoring demands that arise when those systems move into production. Together, the products cover the full development lifecycle - from early prototyping through to live deployment - targeting both the individual developer and the AI team operating at scale. LangChain's user base spans major enterprises and early-stage startups alike, with millions of developers relying on its frameworks worldwide. The company is focused specifically on agent engineering: the discipline of building LLM-powered systems that can reason, plan, and act reliably in real-world environments.

SAP LeanIX provides a modern SaaS platform for Enterprise Architecture Management, giving organizations a single source of truth to navigate complex IT transformations. In an era where enterprises face constant pressure to modernize applications, migrate to the cloud, and upgrade ERP systems, LeanIX exists to eliminate the spreadsheet chaos that typically stalls these critical initiatives. The platform enables finance and IT teams to make data-driven decisions about their technology landscape, reducing risk and accelerating transformation timelines by up to 85%. Founded in 2012 in Bonn, Germany, LeanIX has grown from a bootstrapped startup to a global operation serving 700+ customers worldwide, including industry leaders across every sector. The company was acquired by SAP in November 2023, extending its reach and capabilities while maintaining its mission to democratize enterprise architecture for organizations of all sizes. With offices in Boston, London, Paris, Amsterdam, and Ljubljana, SAP LeanIX continues to innovate at the intersection of AI and enterprise architecture, recently introducing an AI agent hub to help organizations govern artificial intelligence across their technology stack.

Conifers.AI is transforming security operations centers (SOCs) with CognitiveSOC™, an agentic AI platform that enables enterprises and managed security service providers to achieve SOC excellence. The company addresses a critical challenge in modern cybersecurity: SOCs are drowning in alert volumes - processing an average of 960 alerts daily, with large enterprises facing over 3,000 alerts from 30+ security tools. This overload forces security teams to make difficult trade-offs between comprehensive coverage and thorough investigation quality. CognitiveSOC™ stands apart as the industry's first mesh agentic AI platform built specifically to solve complex, multi-tier SOC challenges at scale. Unlike traditional automation tools that focus solely on basic triage, Conifers delivers comprehensive coverage across all investigation tiers with verified performance: 87% faster investigations, 3x SOC throughput, approximately 2.5-minute average investigation time, and greater than 99% accuracy. The platform combines multiple AI techniques - including large language models, domain-specific language models, machine learning, statistical analysis, and static analysis - in an intelligent orchestration layer that applies the optimal combination of capabilities to each incident. This patent-pending architecture continuously learns from organizational policies, procedures, and risk tolerances, ensuring investigations align with each customer's unique context. Founded in 2024 by security industry veterans and backed by SYN Ventures, PICUS Capital, and Washington Harbour Partners, Conifers has been recognized by Gartner as "the company to beat in AI SOC Agents for threat investigation."