From fragmented public data to a unified political insights assistant.

AI Agent for Political Intelligence

Client Background

The client works in the political research and public communication space. Their users include:

  • Policy analysts

  • Journalists

  • Research teams

  • NGOs

  • Political observers

  • Citizens

Their challenge: political data was everywhere — but nowhere in one place.

black and white robot toy on red wooden table
black and white robot toy on red wooden table
man in blue crew neck shirt covering his face
man in blue crew neck shirt covering his face

The Problem: Political Data Was Fragmented, Slow To Search, and Hard To Analyse

Political information lives across dozens of public sources:

  • Parliament and government portals.

  • Debate transcripts and committee reports.

  • Voting records and bill summaries.

  • Party websites, manifestos, press releases.

  • Elections and open data portals.

  • Official media and communication channels.

For analysts and researchers, this caused major problems:

  • Time-consuming manual searches.

  • Hard to see how positions change over time

  • Impossible to compare parties or individuals quickly

  • No neutral, structured view of political information

The client wanted a single AI assistant that could answer questions like:

  • “How has Party X positioned itself on climate policy over the last 5 years?”

  • “How did Representative Y vote on housing-related bills?”

  • “What are the differences between Party A and Party B on education?”

With sources, citations, and full traceability.

Solution Overview

Tenplus designed and delivered an end-to-end Data + AI platform on Databricks using:

  • Automated data ingestion.

  • Medallion architecture (Bronze → Silver → Gold).

  • Unity Catalog governance.

  • A domain-aware RAG pipeline.

  • A custom political AI agent with citations.

Below is how the full system works.

Data
Analysts

Our in-house data analysts have a hands-on approach to data.

5

45

Companies analyzed

Last year, we were able to help nearly 50 companies.

person catching light bulb
person catching light bulb

Process

Step 1: Ingesting Political Data From Multiple Public Sources

Step 2: Processing Data Through the Databricks Medallion Architecture

Step 3: Building the Domain-Aware LLM Layer and AI Agent

Step 4: Risk Modelling With SageMaker

Step 5: Automated Alerts and Reporting

Data designers

Our designers have an extensive background in data analysis.

3

1340

Visualizations made

From presentations to marketing materials and beyond.

23

Ongoing projects

Data changes, but our team stands by your side when you need us.

Results

Tenplus delivered a powerful, trusted, AI-driven platform that:

  • Centralises fragmented political data.

  • Provides structured political intelligence.

  • Supports analysts, journalists, NGOs, and citizens.

  • Powers a domain-aware AI agent with citations.

  • Ensures full data transparency through Unity Catalog.

  • Enables fast, real-time political analysis.

This solution gives users a clear, modern way to understand politics with accuracy and trust.

yellow and white trophy
yellow and white trophy

⭐⭐⭐⭐⭐

“Tenplus built exactly what we needed, an AI system that gives clear, trusted political insights with full citations.
Our team can now answer complex questions in seconds instead of hours. The combination of Databricks, structured data, and a grounded AI agent is a game changer.”

Director of Research, Political Intelligence Organisation

We’ve helped them

We've partnered with many household brand names to deliver insights and solutions to their problems with big data.

Happy clients

Don't just take our word for it – our clients frequently stay in touch with us and work with us on future projects that require big data insights.

John Bjerrand

I work in agricultural consulting, meaning that we often need to use big and complex datasets to justify expensive investments for our clients. Lilo's consultants helped us see the big picture with their visualization tools and expertise.

Anna Claudio

As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. Lilo's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.

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