Major is an enterprise AI platform that lets non-engineers build governed AI agents and internal apps by describing them in plain language. The platform connects to 3,000+ business tools with IT-managed credentials, enabling teams to automate workflows like ticket triage and invoice reconciliation without writing code. It includes SOC 2 compliance, SSO, audit logs, and a credit-based pricing model that charges for actual usage rather than per-seat licenses.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise teams often lack the engineering resources to build custom internal tools and automations, leaving them reliant on manual processes, spreadsheets, or generic SaaS products that don't fit their workflows. Building AI-powered applications typically requires specialized development skills, creating a bottleneck where business needs go unmet or are addressed with fragile, ungoverned shadow IT solutions.
Solution
Major provides a platform where anyone in an organization can describe an AI agent or internal app in plain language, and the system builds it automatically using IT-managed credentials and governed connectors. The platform connects to over 3,000 business tools, allowing users to create automations that work inside their existing systems—such as triaging Zendesk tickets with Salesforce context or reconciling Stripe payouts against QuickBooks entries. Major's builder agent writes, tests, and iterates on the application, then deploys it to a hosted runtime with granular permissions, audit logs, and approval workflows. The platform is designed for enterprise governance, with SOC 2 compliance, SSO, and the ability to self-host or bring your own Anthropic key for organizations with specific security requirements.
Target Audience
Primary customers are mid-market and enterprise organizations that need to build internal tools and automations without dedicated engineering resources, including operations teams, customer success departments, and finance functions. The platform also serves IT and security teams seeking governed, auditable AI deployment across their organization.
Features
- Natural-language app generation that converts plain-English descriptions into working AI agents and internal applications without requiring engineering skills
- 3,000+ pre-built integrations with major business tools including CRMs, helpdesk platforms, and financial systems, all using IT-managed credentials
- Credit-based usage model that meters model calls, build time, preview environments, and hosting separately, with unused credits rolling over
- Granular role-based access control distinguishing builders from viewers, with audit logs and approval workflows for governed deployment
- Deployment of agents directly into Slack for in-context workflow execution
- Enterprise controls including SSO, SCIM provisioning, self-hosting options, and volume credit pricing
- LLM provider flexibility with the ability to route to different models (OpenAI, Anthropic Claude, Google Gemini) and bring your own API key
- Data security with TLS 1.3 encryption in transit, AES-256 at rest, and opt-out from model training programs by default