Adapt is a very early-stage AI product (founded 2025) built on a modern stack—Next.js, Node.js, TypeScript, Kubernetes, pgvector—that positions itself as an AI layer on top of existing business software. The tech choices (vector databases, GCP/AWS, Salesforce/HubSpot connectors) signal a focus on semantic search and multi-tool integration. The hiring profile is heavily senior-weighted and balanced between engineering and sales, suggesting they're in the critical phase of proving product-market fit and scaling customer onboarding.
Adapt is a San Francisco-based AI platform that acts as a conversational interface for business teams, allowing them to ask questions and take actions across their existing tool stack—Salesforce, HubSpot, Snowflake, BigQuery, and others. The product uses large language models and vector search (pgvector) to understand business context and execute workflows in response to natural language. Current focus areas include building playbooks and template libraries, designing connector ecosystems, and running 4-week pilot engagements with early customers. The company is tackling known pain points around low trial-to-adoption conversion and onboarding friction.
Adapt builds on Next.js, Node.js, TypeScript, Kubernetes, and pgvector (vector database), deployed on GCP and AWS. It integrates with Salesforce, HubSpot, Snowflake, BigQuery, Stripe, and Figma via REST and OAuth.
Core projects include playbooks and template libraries, AI workflow architecture, a connector ecosystem strategy, custom integrations with critical business tools, and developer programs to expand integration coverage.
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