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Title: AI Agent Directory - Few Shots LLM Models
Date: 2026-04-10
Category: GenAI
Tags: GenAI, AI-agents, LLM, startups, directory
Slug: ai-agent-directory-few-shots-llm-models

The AI agent ecosystem is growing fast. Here's a quick directory of notable AI startups and a couple of few-shot LLM models worth knowing about. Two lines each — just enough to know what they do and why they matter.

## AI Agent Directory

**Can of Soup** — An AI-powered app that lets you create fictional photos of you and your friends in imaginary scenarios. Built during Y Combinator, it uses generative AI to place people into any meme, outfit, or movie scene.

**Deepgram** — A foundational voice AI platform offering speech-to-text, text-to-speech, and voice agent APIs. Their Nova models deliver high accuracy and low latency, supporting 30+ languages for real-time transcription.

**Diffuse Bio** — Building generative AI for protein design, using diffusion models to engineer new proteins with control and accuracy. Their foundation model DSG-1 can generate 3D protein structures and design binders from user prompts.

**Draftaid** — An AI-powered CAD tool that converts 3D models into precise 2D manufacturing drawings automatically. It reduces manual drafting time by up to 90%, acting like a copilot for mechanical engineers.

**Edgetrace** — A YC-backed AI video analytics platform that lets users search camera networks using natural language. Primarily used by law enforcement and transportation for real-time threat detection and suspect identification.

**EzDubz** — A real-time AI dubbing tool that translates videos, livestreams, and phone calls while preserving the original speaker's voice. Their proprietary models clone voices on the fly and even replicate emotions across 20+ languages.

**Exa** — An AI-powered search engine and API built for developers and AI agents. Unlike traditional keyword search, Exa uses neural embeddings for semantic understanding, powering tools like Cursor and Lovable.

**Guide Labs** — Building interpretable AI foundation models that can explain their reasoning and are easy to audit. Their open-source Steerling-8B is an 8-billion-parameter LLM designed for transparency and debuggability.

**Infinity AI** — Now known as Lemon Slice, they build a video foundation model for human motion and emotion. Their tech generates expressive, talking characters across styles from photorealistic to cartoon.

**K-Scale** — Building open-source humanoid robots for developers, with models starting at $999. Their integrated software, hardware, and ML stack lets developers focus on building applications for embodied AI.

**Sevn** — A generative design startup using AI to automate and optimize the creative design process. Users define parameters and constraints, and Sevn generates a range of design options to explore.

**Linux Inc** — An AI startup focused on bringing intelligent tooling to the Linux ecosystem. They aim to simplify Linux administration and development workflows through AI-powered automation.

**Metalware** — A copilot for firmware engineers that automates low-level programming for embedded systems. Their binary analysis tool fuzzes ARM-based software to detect defects earlier in the development lifecycle.

**Naiver AI** — Navier AI provides a web-based platform for running CFD (computational fluid dynamics) simulations at scale. Their AI agents handle geometry cleanup, meshing, solver configuration, and cloud resource management autonomously.

**Osium AI** — An AI-powered platform that accelerates materials and chemicals R&D for industry leaders. Their software helps engineers design new materials faster, spanning alloys, polymers, textiles, and bio-based materials.

**Phind** — An AI search engine purpose-built for developers that generates direct, code-inclusive answers to technical questions. It combines real-time web search with specialized models trained on programming languages and frameworks.

**Piramidal** — Building a foundation model for the brain, trained on a massive corpus of EEG brainwave data. Their AI interprets neural signals for neurological diagnostics, already being deployed in ICU settings.

**Playground** — A browser-based AI image generation and design platform used by over 9 million users. It combines text-to-image generation with a full graphic design suite for logos, social media posts, and more.

**PlayHT** — An AI voice generation platform that offered ultra-realistic text-to-speech with 900+ voices in 142 languages. Known for voice cloning and custom voice creation through deep learning algorithms.

**Sonauto** — An AI music editor that turns prompts, lyrics, or melodies into full songs in any style. It supports thousands of styles with full-length songs up to 4.5 minutes, complete with vocals and instrumentation.

**Tavus** — An AI video personalization platform that creates hyper-personalized videos at scale from a single recording. It uses deep learning for voice synthesis and face cloning to generate thousands of unique video variations.

**YonduAI** — Building the robotic workforce of the future, starting with logistics automation in warehouses. They deploy humanoid robots with remote teleoperation that gradually transitions to full AI-driven automation.

**Yoneda Labs** — Building a foundation model for chemical reactions to help chemists optimize drug discovery. Their AI defines parameters like temperature, concentration, and catalyst to make synthesis faster and cheaper.

**SyncLabs** — An AI lip-sync video generator that creates perfectly synchronized mouth movements from any audio track. Their zero-shot model handles any face in any video context without prior training on specific individuals.

## Few-Shot LLM Models

**Llama 3.1** — Meta's open-source large language model available in 8B, 70B, and 405B parameter sizes. It supports 128K context length and multilingual capabilities, making it one of the most versatile open-weight models for fine-tuning and deployment.

**Mixtral** — Mistral AI's open-source mixture-of-experts (MoE) model that activates only a subset of parameters per token for efficient inference. It delivers performance comparable to much larger dense models while being significantly faster and more cost-effective to run.