Farseer Tech Stack

Real-time financial planning platform with AI-driven scenario modeling

Software Development Zagreb 11–50 employees Founded 2016 Privately Held

Farseer builds an in-memory financial planning engine (Rama) designed for multidimensional modeling and real-time collaboration in enterprise finance. The stack reveals a data-forward architecture: Dagster, Airflow, Airbyte, Fivetran, and DuckDB power data ingestion and transformation pipelines, while Claude integration points to AI-assisted analytics. The project list shows a classic enterprise sales motion—proof-of-value tasks, implementation workshops, and customer-specific data pipeline work—paired with a small, senior-heavy engineering team (3 engineers, mostly senior level), indicating they're building depth in core IP rather than scaling headcount.

Tech Stack 15 technologies

Core StackPython Dagster Prefect Apache Airflow Airbyte Fivetran Great Expectations AWS Claude Codex SQL Parquet DuckDB Arrow GCP

What Farseer Is Building

◆Challenges

Painful spreadsheets
Backward looking number crunchers
Complex enterprise software implementation
Adoption of new planning platform
Bloated workflows
User-hostile screens
Double-counting across customer tenants
Modeling anti-patterns in finance
Debugging aggregations and rollups
Data ingestion from erps

▲Active Projects

Design planning models and reporting structures
Build scalable solutions for customer processes
Proof of value tasks
Solution proposals
Demo workshops
Implementation of farseer platform for finance teams
Implementation projects
Real-time collaborative planning and reporting platform
Building the modeling brain of modern finance
Data pipelines for real customers

Hiring Activity

Accelerating6 roles · 3 in 30d

Department

Engineering

Sales

Data

Seniority

Senior

Mid

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About Farseer

Farseer is a financial planning and performance management platform for enterprise organizations replacing static spreadsheet-based forecasting with dynamic, continuous scenario modeling. The product centers on Rama, a proprietary calculation engine optimized for complex multidimensional finance models, combined with agentic AI capabilities that automate routine finance tasks and surface insights via natural language (including WhatsApp). Founded in 2016 and based in Zagreb, Farseer serves enterprise finance teams who need to move from backward-looking reporting to driver-based planning and rapid what-if analysis. Implementation and customer success are core operational activities, with active projects spanning customer onboarding, data pipeline setup from ERPs, and proof-of-value engagements.

HeadquartersZagreb

Company Size11–50 employees

Founded2016

Hiring MarketsCroatia

Frequently Asked Questions

What technology does Farseer use to build its platform?

Farseer uses Claude for AI, Python and SQL for development, Dagster and Airflow for orchestration, Airbyte and Fivetran for data integration, DuckDB for analytics, and GCP/AWS for infrastructure. The core engine, Rama, is proprietary and built for in-memory multidimensional calculations.

What does Farseer's platform do?

Farseer provides real-time financial planning and forecasting with driver-based modeling and AI-assisted scenario analysis. It replaces spreadsheet-based planning with a collaborative platform that integrates data from ERPs and enables finance teams to run continuous what-if scenarios and access insights via natural language.