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AI advisory and services firm with an agent/tools marketplace, helping enterprises plan and implement AI adoption.
Applied-AI consultancy building custom GenAI, computer vision, MLOps, and predictive-analytics solutions for enterprises.
Applied-AI studio and R&D group building enterprise products like the FeatureOS feedback platform for product teams.
Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦AI strategy and advisory (roadmaps, ROI, change management)
- ✦AI solution and vendor-selection frameworks
- ✦Marketplace of AI agents and tools
- ✦Prebuilt agents (research, lead qualifier, planner)
- ✦Agent builder
- ✦Learning resources and case studies
- ✦Custom AI software development
- ✦AI agents and GenAI
- ✦LLM/VLM evaluation
- ✦Computer vision and edge solutions
- ✦MLOps and custom MCP servers
- ✦Predictive analytics and AI strategy
- ✦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
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- →Plan an enterprise AI adoption roadmap
- →Select the right AI tools/vendors
- →Use prebuilt agents for common tasks
- →Build custom agents
- →Enterprise AI implementation
- →Computer-vision projects
- →GenAI and agent deployment
- →MLOps and predictive analytics
- →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
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases