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Achievable - AI adaptive learning
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Adaptive online exam prep for finance, insurance, healthcare and academic tests using spaced review and a pass guarantee.
737K visits/mo
Pricing
No public pricing
No public pricing
Free trial available
No public pricing
Free: $0 / month
Team: $150 / month
Enterprise: Custom
AI Consulting: Custom
No public pricing
Core features
- ✦AI-driven learning platform
- ✦Personalized learning paths
- ✦Skill benchmarks for assessment
- ✦Wide range of courses (leadership, tech, compliance)
- ✦Mobile accessibility
- ✦Complete written course content
- ✦Adaptive spaced-repetition review
- ✦Tracked intelligent quizzes
- ✦Progress and memory tracking
- ✦Mobile-first study experience
- ✦Pass guarantee / money-back
- ✦Curated collection of Sora prompts
- ✦Weekly updated resources and tutorials
- ✦Example prompts for video creation
- ✦Discovering prompts and videos for Sora from Open AI
- ✦Evaluation: Test and track performance over time, debug failures.
- ✦Human Review: Collect human feedback, annotate and label logs.
- ✦Prompt Playground & Deployment: Tinker with prompts, test on datasets, and deploy.
- ✦Observability: Log data, debug issues, run online evals, and track cost, latency, and quality.
- ✦Datasets: Incorporate logs into test datasets and fine-tune models.
- ✦Orchestration
- ✦SDK
- ✦Prompting
- ✦Evaluations
- ✦Retrieval
- ✦Deployment
- ✦Observability
- ✦Visual Workflow Builder
- ✦LLM Playground
Use cases
- →Upskilling and reskilling the workforce
- →Developing leadership programs
- →Ensuring compliance and ethics training
- →Improving technology skills
- →Creating a safer workplace
- →Pass securities licensing exams
- →Prepare for insurance or healthcare licensing
- →Study for the GRE, SAT or AP exams
- →Fit exam prep around a busy schedule
- →Generating video content from text using OpenAI's Sora with provided prompts.
- →Testing and evaluating LLM application performance.
- →Collecting human feedback for model improvement.
- →Debugging issues in production and staging data.
- →Optimizing prompts and deploying them to production.
- →Fine-tuning models using production data.
- →Building agentic AI workflows
- →Generating a LinkedIn post from a URL
- →Testing prompt designs and model configurations
- →Evaluating AI system quality
- →Deploying AI updates
- →Monitoring AI decisions
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