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skcript.com
✓ verifiedPaid
Applied-AI studio and R&D group building enterprise products like the FeatureOS feedback platform for product teams.
1.9K visits/mo
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Abacus.AI
✓ verifiedPaid
AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.
4.3M visits/mo
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Dify.ai
✓ verifiedFreemium
Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.
1.1M visits/mo
Pricing
FeatureOS Starter: $60/mo (5 boards, 5 seats, 3 integrations)
FeatureOS Growth: $120/mo (10 boards, 10 seats, API access)
FeatureOS Business: $250/mo (unlimited boards, 15 seats, dedicated CSM)
Free trial available
No public pricing
Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year
Core features
- ✦In-house product line including FeatureOS and SupportWire
- ✦Feedback board, roadmap, changelog, and knowledge base modules (FeatureOS)
- ✦AI-powered feedback analysis and duplicate detection (FeatureOS)
- ✦API and webhook access for custom integrations
- ✦Applied AI R&D consulting engagements
- ✦Product engineering services for client teams
- ✦ChatLLM access to multiple top AI models
- ✦AI agents and automation
- ✦No-code full-stack app creation
- ✦Enterprise generative AI platform
- ✦Structured ML model building
- ✦Optimization and forecasting
- ✦Visual workflow studio for agents
- ✦RAG knowledge pipelines
- ✦Agent runtime with tools and memory
- ✦Marketplace of models and plugins
- ✦Publish as app, API or MCP tool
- ✦Logging, analytics and monitoring
Use cases
- →Product teams collecting and prioritizing customer feedback (via FeatureOS)
- →Companies needing custom applied-AI research or engineering
- →Startups outsourcing product engineering to a specialist studio
- →Chat with many AI models in one place
- →Build and deploy ML models
- →Automate tasks with AI agents
- →Building AI agents and chatbots
- →Creating RAG-based knowledge apps
- →Deploying LLM apps at enterprise scale
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