Fluency Tech Stack

Enterprise AI observability platform measuring GenAI ROI through process intelligence

Technology, Information and Internet San Francisco, CA 11–50 employees Founded 2023 Privately Held

Fluency maps enterprise execution across all tools and teams, connecting work activity directly to business outcomes. The stack—Python, dbt, Dagster, Databricks, PyTorch, Neo4j—reflects a data-first architecture built for billions of events per day, with heavy investment in pipelines, data primitives, and evaluation frameworks. The engineering-heavy hiring mix skews toward data and research roles, matching active work on real-time processing, ground truth datasets, and automation discovery.

Tech Stack 28 technologies

Core StackPython dbt Terraform Dagster Apache Airflow Prefect PostgreSQL Iceberg Databricks PyTorch Kubernetes TypeScript NestJS React Vite Docker Swift Rust AWS AWS RDS AWS Glue AWS Lambda Neo4j SQL SQLMesh Ray Neptune

What Fluency Is Building

◆Challenges

Creating universal taxonomy for work
Real-time processing at massive scale
Handling complex enterprise data environments
Enterprise readiness at scale
Continuous compliance without slowing velocity
Execution across continents without bureaucracy
Messy input data
Ambiguous ground truth
Rigorous evaluation frameworks
Processing billions of events per day

▲Active Projects

Build pipelines processing billions of events per day
Invent new data primitives and paradigms
Build data infrastructure for enterprise workflows
Enterprise deployment operations
Security & compliance operations
Deal execution infrastructure
Evaluation pipeline development
Ground truth dataset creation
Prompt engineering experiments
One-click automation platform

Hiring Activity

Accelerating6 roles · 3 in 30d

Department

Data

Engineering

Ops

Research

Seniority

Senior

Lead

Mid

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About Fluency

Fluency helps enterprise leaders visualize how work happens across processes, projects, and ad-hoc tasks, tying activity directly to revenue, cost, speed, and quality outcomes. The platform operates across all tools and teams without requiring integrations, building a live map of enterprise execution. Core capabilities include measuring ROI on GenAI investments with precision, automatically discovering and optimizing workflows, and identifying automation opportunities. Founded in 2023 and based in San Francisco, Fluency operates as a private company with 11–50 employees.

HeadquartersSan Francisco, CA

Company Size11–50 employees

Founded2023

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Fluency use?

Fluency's core stack includes Python, SQL, dbt, Dagster, Databricks, PyTorch, Kubernetes, and Neo4j. Data infrastructure runs on PostgreSQL and Iceberg, with orchestration via Apache Airflow and Prefect. Deployment runs on AWS with Lambda, Glue, and RDS.

What is Fluency working on?

Current projects include building pipelines for billions of daily events, inventing new data primitives, developing enterprise deployment and security operations, creating ground truth datasets, and building a one-click automation platform. Evaluation pipelines and prompt engineering are also active areas.