# AI SaaS - Page: https://shared.btbytes.com/p/ai-saas - Date: 2024-03-29 - Tags: llm [Adaptive Engine](https://www.adaptive-ml.com/engine), [Roe AI](https://www.getroe.ai/) -- "AI for Risk, Compliance and Trust. Create AI workers to automate your risk operations." ^e9eac9 [Stack-AI.com](https://www.stack-ai.com/) -- The No-Code Generative AI Platform. Deploy custom AI Assistants, Chatbots, and Workflow Automations to make your company 10x more efficient. [Ray.IO - Productionizing and scaling Python ML workload](https://www.ray.io/) -- "Ray is an open-source unified compute framework that makes it easy to scale AI and Python workloads — from reinforcement learning to deep learning to tuning, and model serving." See [presentation](https://assets.ctfassets.net/bguokct8bxgd/26Vuu2NJLVnWkX4TkalSmB/fbc74da45885ca8e5048583f8a7e9d25/Ray_OSS_Datasheet_-_Final.pdf) **Flexible Distributed Python for Machine Learning**. See also [Ray](https://shared.btbytes.com/p/ray) [Defog.ai - Fine-tuned AI models for enterprise SQL](https://defog.ai/) Deploy fine-tuned LLMs for enterprise analytics. Speed up data analyses in SQL, Python and R with AI assistants and agents tailored for your business - without sharing your data; [twitter](https://x.com/DefogData); [Cofounder: Rishab](https://x.com/rishdotblog) [Workhack.ai](https://workhack.ai) -- Turn your Forms into Great AI Conversations; [twitter](https://x.com/workhackai); [Siddish](https://x.com/siddish_) [Cohere](https://cohere.com) -- Optimized for enterprise generative AI,  search and discovery, and advanced retrieval. [modal labs](https://modal.com) -- Run generative AI models, large-scale batch jobs, job queues, and much more. Eg: host your own mistral model etc. "Bring your own code — we run the infrastructure." [LlamaIndex, Data Framework for LLM Applications](https://www.llamaindex.ai/) -- Connect your data with the industry-leading framework for LLMs: - loading - indexing - querying - evaluating With applications like - Q&A, Structured Extraction, Chat, Semantic Search, and Agents.
LLamaIndex
LLaMa Index
[Taylor - API for Text Classification](https://www.trytaylor.ai/) -- Proprietary text classifiers designed for speed. Classify all your text data in real time: every user SMS, every support ticket, and every document. [crewAI - Multi AI Agents systems.](https://www.crewai.io/) -- "AI Agents reimagined for engineers". [Docs website](https://docs.crewai.com). Core Concepts: [Agentic Systems](https://shared.btbytes.com/p/agentic-systems), Tasks, Tools, Processes and Crews. [Agenthub](https://www.agenthub.dev/) -- "Automate any workflow with AI. Drag, drop, and deploy custom tools your business needs." [Hercules](https://hercules.ai) -- "Multi-Agent AI solutions that automate complex workflows. Transform complex workflows with Generative AI solutions built on the Hercules Platform." [Get Coral](https://www.getcoralai.com) -- one more 'chat with your PDF' app. [Sedai: AI-Powered Cloud Cost Optimization and Performance Tuning](https://www.sedai.io/) [CommandBar | AI-powered user assistance](https://www.commandbar.com/) via Dwarkesh's [podcast](https://x.com/dwarkesh_sp/status/1780990840179187715) [Magick - Cutting-edge tools for AI creators](https://www.magickml.com/) - "Artificial Intelligence Development Environment (AIDE) is similar to existing tools you know, as well as platform agnostic, and open-source, allowing full control to always be in your hands." [Gumloop | AI Automation Framework](https://www.gumloop.com/) "Drag, drop, and deploy custom tools your business needs. No AI expertise needed." ( previously AgentHub) ## LLM API companies - [Together AI](https://www.together.ai/) -- offers Inference, fine-tuning, custom-models, and GPU Clusters. eg: $1.20/million tokens of Mixtral-8x22B [(Apr 11, 2024)](https://x.com/simonw/status/1778282582750503078) (login:github ) - [Deep Infra](https://deepinfra.com) -- "Fast ML Inference, Simple API. Run the top AI models using a simple API, pay per use. Low cost, scalable and production ready infrastructure." [$0.65/Million tokens](https://x.com/simonw/status/1778289485228474536) - [Fireworks.AI](https://fireworks.ai) "The production AI platform built for developers"; [$0.9/M](https://x.com/simonw/status/1778289917451546650) - [OpenPipe](https://openpipe.ai/) "Fine-Tuning for Developers", "Software engineers and data scientists use OpenPipe’s intuitive fine-tuning and monitoring services to decrease the cost and latency of their LLM operations. You can use OpenPipe to collect and analyze LLM logs, create fine-tuned models, and compare output from multiple models given the same input." > [@OpenPipeAI](https://x.com/OpenPipeAI) makes fine-tuning a model a 1 hour project instead of months. And when a new better model drops it's a 5 minute project to fine-tune *it* and switch. - [From prompt to model: fine tuning when you've already deployed LLMs in prod](https://x.com/HamelHusain/status/1798208703872864359) by [corbtt](https://x.com/corbtt) ## Platforms [Restack — Restack](https://www.restack.io/)