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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Glean
✓ verifiedPaid
Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.
3.2M visits/mo
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Weights & Biases
✓ verifiedFreemium
Weights & Biases is a widely used MLOps platform for experiment tracking, model management and evaluating AI applications.
2.5M visits/mo
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Maestra
✓ verifiedFreemium
Web platform for AI transcription, subtitling, translation and dubbing across 125+ languages, aimed at video creators and teams.
1.5M visits/mo
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liteLLM
✓ verifiedFreemium
Open-source AI gateway giving dev teams unified access, fallbacks and spend tracking across 100+ LLMs.
703K visits/mo
Pricing
No public pricing
No public pricing
Pay As You Go: $12 (60 credits)
Lite: $23/mo (180 min)
Basic: $39/mo (360 min)
Premium: $79/mo (900 min)
Free trial available
Open Source: $0 (self-hosted, 100+ providers)
Free trial available
Core features
- ✦Enterprise search across company apps
- ✦Personal AI assistant grounded in work data
- ✦Agent builder, orchestration and governance
- ✦250+ connectors and actions
- ✦Enterprise knowledge graph and hybrid search
- ✦Security controls for scaling AI
- ✦Experiment tracking and visualization for ML training runs
- ✦Model and artifact versioning and management
- ✦Hyperparameter optimization tooling
- ✦Collaborative dashboards and reports for ML teams
- ✦LLM application tracing and evaluation tooling
- ✦Automatic transcription with speakers and timestamps
- ✦Subtitle generation, translation and editing
- ✦AI dubbing with voice cloning and lip sync
- ✦Real-time transcription, translation and captioning
- ✦Text-to-speech voiceovers in 125+ languages
- ✦Unified access to 100+ LLMs in OpenAI format
- ✦Cost/spend tracking per key, user and team
- ✦Budgets and rate limiting
- ✦Automatic provider fallbacks and retries
- ✦Virtual keys and team management
- ✦Logging and observability integrations
Use cases
- →Search across all company knowledge
- →Answer employee questions with grounded AI
- →Build and deploy custom AI agents
- →Automate cross-system workflows
- →ML engineers tracking and comparing training experiments
- →Research teams versioning datasets and model checkpoints
- →Teams building and evaluating LLM-powered applications
- →Organizations collaborating on machine learning projects
- →Subtitle and translate videos for global audiences
- →Transcribe meetings, interviews and media files
- →Dub audio and video into other languages
- →Caption live events and streams
- →Giving developers governed access to many LLMs
- →Attributing and controlling LLM spend
- →Keeping apps running during provider outages
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