Startups Directory

RebuilderAI is a generative 3D AI platform that converts photos, sketches, and text prompts into production-ready 3D manufacturing data. The company operates VRIN 3D for image-based 3D scanning and VRING:ON for end-to-end workflows spanning design, simulation, and manufacturing. Unlike consumer 3D tools, RebuilderAI specializes in creating domain-specific AI experts trained on real-world industrial data, delivering manufacturing-validated outputs for furniture, fashion, footwear, and consumer goods.

Mistral AI develops open-weight and proprietary large language models (LLMs) that enterprises can deploy as SaaS, on-premises, or across any cloud provider. The company offers a complete AI stack including Le Chat (web/mobile interface), Mistral Code (coding assistant), Workflows Studio (enterprise orchestration), and Mistral Forge (synthetic data generation). Founded by three former Meta and DeepMind researchers, Mistral differentiates through EU-based infrastructure, Apache 2.0 open models, and flexibility to avoid multi-cloud lock-in while maintaining GDPR compliance.

Fundamental builds Nexus, a Large Tabular Model (LTM) purpose-built for structured data analytics that delivers accurate predictions from raw tabular data with minimal configuration. Unlike traditional ML requiring months of preprocessing and data science work, Nexus learns complex feature interactions automatically, often through a single line of code. The company serves Fortune 100 enterprises using it for demand forecasting, price optimization, fraud detection, and customer churn prediction.

Lovable is an AI-powered full-stack application development platform that transforms natural-language descriptions into production-ready source code with React frontends and Supabase backends. It generates real, editable code rather than visual blocks, enabling both technical and non-technical builders to create fully functional applications with high-quality UI design. The platform differentiates itself through code ownership (users can export to GitHub), superior design aesthetics compared to competitors, and remarkably fast growth—reaching $200M ARR and a $6.6B valuation within two years of launch.

Upscale AI develops high-performance AI networking infrastructure combining custom silicon (SkyHammer ASICs), systems, and software to enable ultra-low-latency connections between GPUs, AI accelerators, and storage in large-scale AI clusters. The company competes directly with Nvidia's NVSwitch by building open-standards networking solutions designed for hyperscalers and AI infrastructure operators seeking scalable alternatives to proprietary architectures. Founded by serial entrepreneurs from Palo Alto Networks, Innovium, and Cavium, Upscale is backed by $300M+ in funding and positioning open standards as superior to closed ecosystems for AI infrastructure.

DataBahn.ai is an AI-powered data pipeline and fabric platform that enables enterprises to securely collect, enrich, orchestrate, and optimize telemetry across security, application, observability, and IoT/OT systems. The platform solves critical challenges in SOCs by automating the identification and filtering of redundant, duplicated, or noisy security telemetry—over 80% of which may be unnecessary—reducing SIEM costs by up to 50% while maintaining incident detection coverage. With 500+ integrations and AI agents like Cruz (which detects schema drift) and the newly launched AIDI (Autonomous In-Stream Data Intelligence), DataBahn processes data in transit rather than after delivery, ensuring it arrives normalized, classified, and ready for use.

LMArena is a crowdsourced AI evaluation platform where users compare anonymous model responses through blind pairwise voting, generating a public leaderboard ranked by human preference rather than static benchmarks. The platform serves AI labs, enterprises, and developers seeking production-ready model evaluations across domains including law and medicine. Its commercial AI Evaluations service generates $30M+ annualized run rate by providing enterprises access to community feedback data for model improvement. The platform has become the most-cited 'real user preference' leaderboard in AI, with 5M+ monthly users generating 60M+ conversations monthly.

fileAI is an AI-powered file processing platform that automates the extraction and enrichment of data from unstructured documents (PDFs, spreadsheets, emails, handwritten forms) at enterprise scale. The platform combines proprietary ML and vision language models to deliver deterministic, hallucination-free results with 28x better accuracy than AWS, Google, and OpenAI on real-world data tasks. It serves enterprises across insurance, finance, QSR, and professional services who need to automate document-intensive workflows without manual data wrangling.

KINEXON provides a real-time location intelligence platform (KINEXON OS) that converts UWB, BLE, RFID, and GPS data into a digital twin of industrial operations. The platform enables precise centimeter-level asset tracking and automated control of autonomous mobile robots (AMRs/AGVs) across manufacturing and logistics environments. With over 10,000 daily users across BMW plants, Continental, and other Fortune 500 manufacturers, KINEXON delivers measurable ROI through operational automation and cost savings. The company is a Gartner Magic Quadrant Leader for Indoor Location Services.

Jasper is an AI agent workspace that combines 100+ specialized agents, content pipelines, and brand governance tools to help teams execute marketing campaigns end-to-end. The platform integrates AI-powered content creation, image generation, research, and optimization capabilities with a brand context layer (Jasper IQ) that ensures on-brand consistency across channels. It's built for enterprises that need to scale content production while maintaining quality control and compliance, with notable customers including Wayfair, SentinelOne, and iHeartMedia.

Tessl is an AI-native software development platform that uses Spec-Driven Development to enable teams to write, test, and maintain code through natural language specifications. It prevents AI hallucinations and API errors by maintaining a registry of 10,000+ verified library specs, allowing developers to specify intent once and have the platform automatically maintain code alignment. Unlike traditional AI coding assistants that bolt automation onto existing workflows, Tessl reimagines development as spec-centric rather than code-centric.

Copy.ai is an AI-powered Go-To-Market (GTM) platform that helps sales and marketing teams generate high-volume content, from blog posts and product descriptions to sales outreach and account research. The platform uses advanced language models (GPT-4o, Claude 3.5) and features Content Agent Studio, which allows teams to create endless content variations while maintaining brand voice—without prompt engineering. Founded in 2020 and acquired by Fullcast in October 2025, Copy.ai serves enterprise customers like Datadog, Thermo Fisher, and Siemens across 50+ countries.

Eudia is an AI-powered legal intelligence platform that creates a 'Company Brain' by digitizing institutional legal knowledge from contracts, templates, and playbooks. It deploys specialized AI agents called MINDs to handle complex legal tasks like contract redlining and M&A due diligence, reducing review times from hours to minutes. The platform is purpose-built for Fortune 500 in-house legal teams, integrating into existing workflows via Microsoft 365, ServiceNow, and iManage while encoding how organizations actually make legal decisions.

Antithesis is a deterministic simulation testing platform that automatically validates software reliability by running fully automated, massively parallel simulations of entire system architectures in a controlled environment. It compresses months of production behavior into hours, injecting faults and exploring edge cases to uncover bugs before they reach production. The platform's key differentiator is complete determinism—any failure discovered can be perfectly reproduced, eliminating flaky tests and enabling engineers to diagnose even rare production mysteries. It's trusted by high-stakes organizations like Jane Street, Ethereum, and MongoDB where software failures carry significant consequences.

Together AI is an AI Acceleration Cloud platform that enables developers and enterprises to train, fine-tune, and deploy generative AI models with 2-3x faster inference than hyperscalers. Supporting 200+ open-source models across all modalities, it provides the complete AI lifecycle from training to inference without vendor lock-in or infrastructure management burden. The platform powers 450,000+ AI developers and enterprises including Salesforce, Zoom, and SK Telecom with enterprise-grade security, model ownership, and performance.

DevRev is an AI-native enterprise software platform that unifies customer data and automates work through OneCRM (a purpose-built CRM for SaaS teams) and Computer (an AI agent that powers enterprise workflows). The platform connects developers, support, product, and sales teams on a single system by using proprietary knowledge graphs and real-time data synchronization. DevRev targets SaaS companies looking to increase product velocity, reduce customer churn, and consolidate fragmented business tools.

Rossum is an AI-powered intelligent document processing (IDP) platform that automates data extraction from transactional documents like invoices, purchase orders, and bills of lading. Built on Rossum Aurora, a proprietary transactional large language model trained on millions of business documents, the platform helps enterprises eliminate 90% of manual document processing work while maintaining data security through in-house AI models. It serves over 450 global customers across finance, logistics, and manufacturing, including Bosch, Siemens, and PepsiCo, with human-in-the-loop validation that continuously improves accuracy without relying on third-party LLMs.

TensorWave is an AI and HPC cloud platform built on AMD Instinct GPUs that accelerates LLM training, inference, and research workloads without the supply constraints and premium pricing of NVIDIA. The platform leverages AMD's physical GPU partitioning for true hardware isolation and includes direct liquid cooling that reduces data center energy costs by up to 51%. With 192GB of VRAM per GPU, customers can fine-tune massive models like 405B parameter LLMs on single 8-GPU nodes. TensorWave targets enterprises seeking high-performance compute with dedicated infrastructure, managed inference services, and autoscaling capabilities.

Sakana AI develops foundation models using evolution-inspired techniques and collective intelligence to create domain-specific AI systems with minimal computational overhead. The company automates the entire AI development lifecycle through products like AI Scientist (automated research discovery) and Sakana Fugu (multi-agent model orchestration), serving enterprises in finance, defense, and research. Unlike traditional approaches requiring massive GPU clusters, Sakana's evolutionary model merge technique discovers optimal model combinations through natural selection, dramatically reducing energy consumption while achieving state-of-the-art performance.

Majestic Labs builds Prometheus, a custom AI server that solves the memory wall problem by disaggregating memory from compute, enabling up to 128 TB of ultra-fast, power-efficient memory per server—nearly 100x more than leading GPU servers. The system allows organizations to run multi-trillion-parameter LLMs, mixture-of-experts models, and agentic AI systems in a single unit while dramatically reducing power consumption and infrastructure costs. Built by veteran silicon architects from Meta and Google, the company targets hyperscalers and enterprises that need to deploy massive AI models efficiently.

Parallel Web Systems builds APIs that enable AI agents to reliably access and reason over real-time web data. The company's Deep Research API and complementary tools (Search, Extract, Task, FindAll, Monitor) are optimized to feed clean, verified content directly into AI context windows, reducing hallucinations and operational costs. Founded by former Twitter CEO Parag Agrawal, Parallel serves enterprise customers including banks, hedge funds, insurance companies, and AI-native platforms that need AI systems to perform complex research and automation tasks at scale.