About This Site
Custom AI agents and consulting with dedicated human support, live in one day. Sentie is an AI consulting firm and platform that specializes in deploying custom AI agents for businesses within 24 hours. Unlike generic AI tools, Sentie combines an autonomous agent platform with dedicated human support. It features a 'Business Brain' that ingests specific company data—such as files, calls, and links—to ensure agents operate with custom intelligence rather than generic knowledge. Every client is assigned a dedicated human Success Manager who handles technical configurations like tool integrations (connecting to over 248 apps) and agent tuning, ensuring that the AI delivers real business outcomes rather than just automated chat.
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Kanwas
Shared context workspace for product teams and AI agents to collaborate using specific company data.
Kanwas is a shared context board and workspace designed specifically for product teams and AI agents. It serves as a living 'context brain' that holds a team's critical know-how, research, decisions, and data. Unlike traditional storage or isolated AI chats, Kanwas provides a spatial environment (canvas) where humans and AI agents collaborate. It integrates strategy docs, market signals, and agent workflows, allowing AI to execute tasks using real, specific company context rather than generic training data. The system is built on a Git-backed filesystem using plain .md files to ensure transparency and prevent vendor lock-in.
Key Features AI
Core Features
Business Brain knowledge ingestion
Dedicated Human Success Manager
Task Builder with proven templates
248+ native tool integrations
Model routing and optimization for cost and speed
Real-time action logging and audit trails
Advantages
Extremely fast deployment (live in a day)
Dedicated human support included in every plan
No-code setup for the user (Success Manager handles webhooks/OAuth)
High security with encrypted data and scoped permissions
缺点：Starting price for production may be high for micro-businesses
缺点：Credit-based system on lower tiers
缺点：Limited transparency on specific 'open-weight' models used
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