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Applied-AI studio and R&D group building enterprise products like the FeatureOS feedback platform for product teams.
AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.
Searchable directory of open-source AI agent 'skills' (SKILL.md files) for developers building with Claude, Codex, or ChatGPT agents.
Claims a fully autonomous AI system that runs companies 24/7; overreaching pitch, thin proof.
Open-source, self-hosted app to manage teams of AI agents like a company - org chart, goals, budgets and per-agent approvals.
Free trial available
No public pricing
No public pricing
No public pricing
No public pricing
- ✦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
- ✦Full-text search across millions of indexed SKILL.md files
- ✦Browse skills by creator or by occupation category
- ✦Inspect GitHub source links for each skill before use
- ✦REST API access to the skill catalog
- ✦One-click running of skills inside supported agent platforms
- ✦Autonomous planning, coding, and marketing
- ✦24/7 continuous business operations
- ✦Third-party tool integrations (Email, Social, Payments)
- ✦Self-adapting and data-driven optimization
- ✦Founder inbox management and VC negotiation
- ✦Live dashboard for real-time task tracking
- ✦Manage teams of AI agents
- ✦Bring-your-own-agent (any runtime/provider)
- ✦Org chart with roles and reporting lines
- ✦Goal alignment for tasks
- ✦Per-agent budget and cost controls
- ✦Ticket system with full audit trail
- →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
- →Finding an existing agent skill instead of writing one from scratch
- →Comparing similar skills across different creators
- →Building custom search or analytics on top of the skill catalog via API
- →Discovering skills relevant to a specific job function
- →Building and launching a startup with zero human staff
- →Automating multi-channel marketing and content promotion
- →Maintaining and updating software products on autopilot
- →Managing investor relations and daily business workflows autonomously
- →Orchestrating agents across business functions
- →Running dev, marketing and research agents
- →Building autonomous-business workflows
- →Governing and budgeting agent work