Plain builds an API-first customer support platform powered by AI, built on PostgreSQL, AWS Lambda, and models from OpenAI and Anthropic. The engineering-dominant hiring mix (49 of 54 roles) reflects the company's infrastructure-heavy roadmap: backend services for AI integrations, developer tooling, and internal AI APIs are active priorities. Pain points around AI accuracy, observability, and channel fragmentation signal they're solving real operational friction in multi-channel support workflows.
Plain is a London-founded AI support platform designed for technical teams and mid-market B2B companies handling complex support workflows across multiple channels. The product combines a backend API with AI-native features to automate and accelerate customer interactions. The stack (PostgreSQL, AWS Lambda/RDS/SQS, OpenAI, Anthropic) reflects a systems-focused approach to scaling support operations. Founded in 2020, the company operates as a lean, engineering-led organization and is actively hiring across Europe and the US.
PostgreSQL, AWS (Lambda, RDS, DynamoDB, SQS, EventBridge), OpenAI, Anthropic, n8n, Slack, Discord, PostHog, Linear, and Vercel for frontend.
Backend services for AI integrations, AI agents and assistants, backend architecture improvements, developer infra tooling, customer-facing channel integrations, and partnership ecosystem development.
Plain's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.