Startup Ideas AI

Create a serverless vector database in under 120 seconds

SciPhi is a cloud platform for developers that simplifies building and deploying serverless RAG pipelines.

Peaka is a serverless connector infrastructure that integrates with 300+ relational and NoSQL databases, SaaS tools, and APIs in seconds, supporting real-time, cross-sourced querying without the need of copying or syncing.

"Teammate Lang" is an all-in-one solution for LLM App developers and operations. It elevates the Time-to-value, Reliability and ROI of your LLM Apps with features like "No-code App Builder", "Prompt Manager", "Built-in Multimodal AI" and "A/B Testing & Analytics".

Pipeless Agents is a computer vision platform that allows users to convert video feeds into actionable data streams. It enables the automation of tasks triggered by visual inputs from cameras, streaming platforms, or any video source, without requiring any prior knowledge of computer vision. The platform automatically extracts structured data and events from video sources, allowing users to build agents that can process this data and perform actions such as calling webhooks, sending messages, or storing information in a database.

Defang is a platform that simplifies cloud application development, deployment, and debugging. It allows users to deploy applications from Docker Compose to secure and scalable cloud environments in minutes. Defang supports various languages, frameworks, and cloud providers, offering features like AI-enabled debugging, pre-built samples, and production-ready security.

Deep Infra offers cost-effective, scalable, easy-to-deploy, and production-ready machine-learning models and infrastructures for deep-learning models. It provides a platform to run top AI models using a simple API, with pay-per-use pricing and low-latency inference. Users can deploy custom LLMs on dedicated GPUs and access various models for text generation, text-to-speech, text-to-image, and automatic speech recognition.

Prompteus is a platform designed for developers to build, deploy, and scale AI workflows using a no-code editor. It offers features like multi-LLM orchestration, adaptive caching, and built-in guardrails to ensure cost-effective, compliant, and robust AI operations. It provides observability, cost reduction, safety guardrails, and intelligent request routing for AI integrations.

Lamatic.ai is a managed PaaS (Platform as a Service) designed for building, testing, and deploying GenAI (Generative AI) applications on the edge. It features a low-code visual builder, VectorDB powered by Weaviate, and integrations to apps and models. It offers tools for flow building, integrations, edge deployment, monitoring, and seamless integration with GraphQL and webhooks. Lamatic.ai aims to simplify the development and deployment of AI agents, providing a collaborative builder and zero-ops serverless platform.