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Quixl.ai
✓ verifiedPaid
No-code/low-code platform for building and governing enterprise generative-AI agents with a shared prompt studio and data pipeline.
1.9K visits/mo2.6K saves
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DataCamp
✓ verifiedFreemium
Interactive online platform for learning data science and AI skills.
5.6M visits/mo
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Unsloth AI
✓ verifiedFreemium
Open-source library and desktop app for fast, memory-efficient local fine-tuning and inference of open LLMs.
1.1M visits/mo29K saves
Pricing
No public pricing
Basic: Free
Premium: $14/month billed annually
Teams: $14 per user /month billed annually
No public pricing
Core features
- ✦No-code AI agent builder with low-code flexibility for developers
- ✦Prompt Studio with templates for LLMs and domain-specific models
- ✦Data pipeline for batch and real-time processing with vector DB support
- ✦Centralized AI application, tenant, and subscription management
- ✦Prebuilt agent showcase (alt-text generation, publishing assistant, search)
- ✦Claimed 48-72 hour turnaround from design to deployment
- ✦Interactive courses and coding challenges
- ✦Skill and career tracks
- ✦DataCamp Workspace for data analysis
- ✦Skill assessments
- ✦Certifications
- ✦Optimized LoRA/FFT/PT training kernels for 500+ models
- ✦Local offline model runner for Mac and Windows
- ✦No-code dataset creation from PDFs, CSVs, and JSON
- ✦Unlimited tool-calling and web search inside model runs
- ✦Data Recipes workflow to turn documents into training datasets
- ✦Export to safetensors or GGUF for llama.cpp, vLLM, Ollama
- ✦Multi-GPU support on paid tiers
Use cases
- →Standing up enterprise AI agents without a large engineering team
- →Managing multiple client tenants and subscriptions on one platform
- →Building domain-specific prompt workflows with RAG-imported data
- →Piloting narrow AI use cases like alt-text or knowledge search quickly
- →Learning Python, R, SQL, Power BI, and Tableau
- →Upskilling in data analysis, data engineering, and machine learning
- →Preparing for data science and analytics careers
- →Team training for data literacy and AI skills
- →ML engineers fine-tuning open models on a single GPU for free
- →Teams building custom datasets from unstructured documents
- →Developers wanting to run and compare LLMs fully offline
- →Enterprises needing faster, more accurate multi-node training
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