PromptQL Tech Stack

AI platform for natural language analysis and automation on enterprise data

Software Development San Francisco, CA 51–200 employees Founded 2017 Privately Held

PromptQL builds an AI platform centered on natural language interfaces to data and systems. The tech stack—Python, Go, Rust, SQL, ClickHouse, with infrastructure automation via Pulumi and Terraform—reveals a systems-heavy engineering approach focused on reliability at scale. Active hiring concentrated in data roles signals the company is solving for data quality and pipeline integrity as the foundation for AI accuracy, addressing a core pain point: translating ambiguous business problems into reliable automated insights.

Tech Stack 10 technologies

Core StackPython Pulumi Terraform Grafana Prometheus ClickHouse Go Rust Honeycomb SQL

What PromptQL Is Building

◆Challenges

Diagnosing bottlenecks
Improving decision-making
Scaling ai systems for enterprise
Optimizing performance cost reliability
Building technical backbone for ai product
Optimizing cloud infrastructure
Building intuitive developer platforms
Automating routine production tasks
Translating ambiguous business problems into insights
High-volume operational environments

▲Active Projects

Promptql ai assistant
Promptql data engine
Promptql runtime infrastructure
Deployment primitives for internal teams
Multi-cloud infrastructure platform
Customer promptql installations
Ai-powered solutions built on promptql
Dashboard and analytical model development
Ai-analyst platform development
Customer adoption and support

Hiring Activity

Accelerating9 roles · 4 in 30d

Department

Data

Engineering

Talent

Seniority

Senior

Mid

Junior

Staff

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About PromptQL

PromptQL operates an AI platform designed to deliver natural language-driven analysis and automation for enterprise data environments. The product surfaces three layers: a runtime and data engine that execute queries, infrastructure primitives for deployment and orchestration, and customer-facing installations that embed the platform into workflows. The company targets mid-market and enterprise customers operating in high-volume operational environments where routine decision-making and production automation stand to benefit from AI. Founded in 2017 and based in San Francisco, PromptQL employs 51–200 people with active hiring across data engineering, platform engineering, and talent functions.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States, Syria, India

Frequently Asked Questions

What tech stack does PromptQL use?

PromptQL's primary stack includes Python, Go, Rust, SQL, ClickHouse for data, Prometheus and Grafana for observability, and Pulumi and Terraform for infrastructure automation.

What is PromptQL working on?

Core projects include the PromptQL AI assistant and data engine, runtime infrastructure, deployment primitives, multi-cloud platform capabilities, and an AI-analyst platform for dashboard and analytical model development.