RavenPack Tech Stack

AI-powered financial intelligence from unstructured news and data

Financial Services Marbella, Málaga 51–200 employees Founded 2003 Privately Held

RavenPack processes news and alternative data across 40,000+ sources in 13 languages for hedge funds, banks, and asset managers. The project roadmap reveals a sharp pivot toward agentic AI: multi-agent systems, LLM fine-tuning, and intelligent workflow automation dominate the backlog, while pain points center on search relevance and alpha generation—suggesting the 2024 Bigdata.com launch represents a shift from traditional NLP-based scoring toward AI-native research workflows. Senior-heavy hiring (44 of 51 roles) across data, engineering, and research signals deep technical scaling rather than sales-led expansion.

Tech Stack 19 technologies

Core StackPython Linux SAP JavaScript Salesforce RAG Zapier n8n Make Postman SQL Windows macOS Google Workspace Excel Common Lisp HTML CSS LinkedIn

What RavenPack Is Building

◆Challenges

Complex challenges in information retrieval
Improving search relevance
Complex investment challenges
Alpha generation
Adopting llms for investment challenges
Compliance with ifrs
Seamless web-to-lead architecture
Personalizing content discovery
Seamless data orchestration
Ensuring user privacy

▲Active Projects

Alpha generation solutions
Semantic embedding techniques
Next generation search and recommendation intelligence
Intelligent agent workflow solutions
Poc development for ai solutions
Llm adoption and fine-tuning
Intelligent agent development
Llm adoption for investment challenges
Adopt llms/lrms multi-agent systems
Multi-agent system development

Hiring Activity

Steady55 roles · 25 in 30d

Department

Data

Engineering

Research

Marketing

Sales

Finance

Ops

Seniority

Senior

Mid

Junior

Manager

Company intelligence

Find more companies like RavenPack by tech stack, pain points and active projects

Get started free

About RavenPack

RavenPack is a financial data and intelligence platform that extracts structured insights from unstructured news, research, and alternative data sources. The company serves quantitative hedge funds, banks, and asset managers with sentiment analysis, entity mapping, relevance scoring, and impact metrics across 13 languages. In 2024, RavenPack launched Bigdata.com, an AI agent platform that bundles premium financial datasets with conversational and custom AI tools for accelerated research and portfolio optimization. The company operates from Marbella, Spain, with hiring footprint across Europe, North America, and recruiting heavily in technical roles.

HeadquartersMarbella, Málaga

Company Size51–200 employees

Founded2003

Hiring MarketsUnited Kingdom, Netherlands, France, Spain, Hungary, Greece, Germany, Romania

Frequently Asked Questions

What is RavenPack's tech stack?

RavenPack uses Python, SQL, Common Lisp, and JavaScript as core languages. Infrastructure spans Linux, Windows, and macOS. Integration and workflow tools include Zapier, n8n, Make, and Postman. CRM/enterprise systems include Salesforce and SAP.

What is RavenPack working on?

Active projects focus on alpha generation solutions, semantic embeddings, multi-agent AI systems, LLM adoption for investment workflows, and intelligent search and recommendation intelligence. The company is actively developing agentic AI and fine-tuning large language models.