F

Factspan Tech Stack

Data and AI consulting for enterprise analytics and LLM applications

Business Consulting and Services Seattle, Washington 201–500 employees Founded 2012 Privately Held

Factspan is a data and AI consulting firm built around Snowflake, Python, and modern cloud infrastructure (AWS, Azure, Databricks). The tech stack reveals a shift toward LLM-native workflows: they're actively adopting RAG and GraphRAG while deploying multiple generative AI platforms (OpenAI, Claude, Azure OpenAI, Vertex AI, AWS Bedrock). Current hiring is concentrated in senior data and engineering roles, and projects show a dual focus on conversational analytics products and legacy workflow modernization—suggesting they're repositioning from traditional analytics consulting toward AI-augmented services.

Tech Stack 22 technologies

Core StackSnowflake Snowflake Cortex Python FastAPI Redis Docker Kubernetes OpenAI Vertex AI Collibra GitLab GitHub AWS Databricks Claude Azure OpenAI AWS Bedrock SQL Gurobi Alteryx

AdoptingRAG GraphRAG

What Factspan Is Building

◆Challenges

Data quality for financial kpi reporting
Ensuring data accuracy and consistency
Migrating legacy workflows to databricks

▲Active Projects

Conversational analytics / genbi product
Llm evaluation framework
Financial kpi data quality initiatives
Dq and dip integration into pipelines
Custom sql profiling queries
Model migration of legacy workflows to databricks
Advanced analytics for b2b sector

Hiring Activity

Accelerating5 roles · 4 in 30d

Department

Data

3

Engineering

2

Seniority

Senior

4

Lead

1

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About Factspan

Factspan, founded in 2012 and headquartered in Seattle, is a data and AI consulting firm serving mid-to-large enterprises across financial services, supply chain, and B2B analytics. The firm operates a 201–500-person organization split primarily between data and engineering functions, with recent hiring velocity in senior-level roles in both disciplines. Core service areas span data strategy, analytics implementation (financial KPIs, risk, supply chain, marketing), and increasingly, AI product development—including internal work on LLM evaluation frameworks and conversational analytics tooling. They operate across the United States and India.

HeadquartersSeattle, Washington

Company Size201–500 employees

Founded2012

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does Factspan use?

Snowflake (including Cortex), Python, FastAPI, AWS, Azure, Databricks, OpenAI, Claude, Vertex AI, and Collibra for data governance. They're actively adopting RAG and GraphRAG for LLM-based applications.

What is Factspan working on?

Projects include a conversational analytics product, LLM evaluation framework, financial KPI data quality initiatives, and migration of legacy analytics workflows to Databricks. Data quality for financial reporting is a key internal challenge.

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