PromptQL
PromptQL positions itself as an AI workspace for discussion, decision-making, and action, capable of connecting existing data and writing code to answer business questions.
Who it is for: Internal teams across technical, business, operations, and management; teams wishing to embed PromptQL as a branded component in customer-facing products; other agents needing to invoke PromptQL for analysis, retrieval, and reasoning
Core capabilities
- In-place data connection and unified data graph: Connect data warehouses, databases, SaaS applications, and APIs, build a unified data graph by inspecting schema, without moving or reshaping data.
- Business context import: Import business context from Slack, Google Drive, and GitHub, without pre-establishing a semantic layer on day one.
- Code-driven multi-source analysis: Write code to answer business questions, covering descriptive questions and multi-source, multi-hop investigations.
- Dashboard and report generation: Generate dashboards and reports tailored to brand style and audience.
- Collaborative threads and context retention: Support team members reviewing, clarifying, correcting, and refining analysis within threads, and convert decision traces in conversations into persistent, shared understanding.
Pricing
OLU introductory price is $0.14 per OLU for a limited time, standard rate is $0.20 per OLU; new projects receive up to $100 free credit, with each added teammate adding up to $70, no credit card required to get started. After connecting your own OpenAI Codex subscription, the OLU consumed by this model is billed at $0.00 to PromptQL, while other models are billed normally.
Updated 2026-08-24