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Onpilot
An AI workforce customized to your business and workflows.
What it does
• Deploys specialized AI agents across Slack, Microsoft Teams, WhatsApp, or embedded SaaS platforms to automate complex operational workflows. • Continuously monitors connected enterprise tools to identify risks, spot missed follow-ups, and surface real-time actionable insights. • Enforces enterprise-grade governance with mandatory human-in-the-loop approval gates before executing sensitive actions or updates. • Integrates with over 3,000 apps and data sources including Salesforce, HubSpot, SAP, databases, and custom APIs.
Why it works
Freemium entry model offering accessible no-code copilot builders with flexible bring-your-own-LLM options. Robust enterprise governance featuring tamper-evident audit logs and rigorous human-in-the-loop approval workflows. Proactive execution architecture that initiates tasks rather than passively waiting for user questions. Extensive ecosystem connectivity bridging fragmented internal software stacks across 3,000+ tools.
Category: AI & Automation
Team Size: 2-10
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As of 2026
AI & Automation
Revenue: 0-$100k ARR
An AI workforce customized to your business and workflows.
Overview
Onpilot is an advanced AI agent platform that enables enterprises to build, deploy, and govern customized AI workers. The platform connects seamlessly to diverse business systems like ERPs, CRMs, and support tools to monitor operations, identify risks, and execute automated actions. Featuring human-in-the-loop approvals, tamper-evident audit trails, and 3,000+ integrations, it moves organizations from simple chat to active workflow execution.
Funding status: Bootstrapped
Revenue source: Subscriptions
Customer type: B2B
Pricing: Freemium
Tech stack: Python, React, Node.js, LLM APIs, Cloud Infrastructure
Platform: Web
Integrations: Slack, Microsoft Teams, WhatsApp, Salesforce, HubSpot, SAP, Oracle, NetSuite, QuickBooks, Gmail, Microsoft 365
Founder story
Onpilot was founded in 2026 by Gunit Mayo and Nischay Dhiman to solve the fragmentation of business data and workflows. Recognizing that companies already possess ample data but lack connective tissue, the team built an operational AI workforce platform to bridge insights with direct actions.
What it does
- • Deploys specialized AI agents across Slack, Microsoft Teams, WhatsApp, or embedded SaaS platforms to automate complex operational workflows
- • Continuously monitors connected enterprise tools to identify risks, spot missed follow-ups, and surface real-time actionable insights
- • Enforces enterprise-grade governance with mandatory human-in-the-loop approval gates before executing sensitive actions or updates
- • Integrates with over 3,000 apps and data sources including Salesforce, HubSpot, SAP, databases, and custom APIs.
Who it's for
- Operations Teams
- Sales & CRM Managers
- Customer Support Teams
- Product & Engineering Teams
Why it works
- Freemium entry model offering accessible no-code copilot builders with flexible bring-your-own-LLM options
- Robust enterprise governance featuring tamper-evident audit logs and rigorous human-in-the-loop approval workflows
- Proactive execution architecture that initiates tasks rather than passively waiting for user questions
- Extensive ecosystem connectivity bridging fragmented internal software stacks across 3,000+ tools.
Growth strategies
- Targeted community launches on platforms like Product Hunt
- Content marketing around proactive enterprise AI workflow automation
- Direct B2B outreach focusing on operations and compliance teams
- Strategic implementation partnerships with system integrators
Alternatives
Comparison overview
- [Onpilot emphasizes proactive background monitoring, rigorous audit trails, and human-in-the-loop governance for operational business workflows , whereas standard conversational chatbots wait passively for user prompts and lack deep enterprise action controls]