Artificial Intelligence and Data
Turning your records into decisions: data platforms, dashboards and practical AI.
Turn the records you already keep into decisions
Leaders want decisions backed by their own data, and operations teams want less manual work. The records often exist in the systems an organisation already runs, but they cannot easily be questioned. Buyers also ask that their data stays under their control and that privacy and data protection are planned from the start.
Who it is for
Start with the question worth answering, then bring the data together
TpISENT (SL) Limited finds the questions worth answering first, brings the data together, then builds, tests and rolls out. We have worked with public-interest data before. Tamba Lamin, TpGroup's co-founder and CEO, was co-founder, CTO and lead architect of Sierra Leone's first open election data platform (2018): open-source collection, visualisation and sharing of ballot results, candidate profiles, polling stations and incident reports. It was adopted by the Independent Media Commission, 29 monitors were trained, and it is hosted at Njala University.
- Questions first, so you build dashboards people will use
- Data brought together from the systems you already run
- Data governance and quality treated as part of the work
- Built and tested with you before roll-out
- Open-source building blocks, with support and maintenance afterwards
What you get
- Data platforms and dashboards
- Practical AI and automation
- Data governance and quality
How it works
- 01Find the questions worth answering
- 02Bring the data together
- 03Build, test and roll out
Questions about AI and data
Who does data analytics in Sierra Leone?
TpGroup, through TpISENT (SL) Limited in Freetown, builds data platforms, dashboards and practical AI for leaders and operations teams. Our public-interest data work includes Sierra Leone's first open election data platform, adopted by the Independent Media Commission in 2018.
What can a dashboard do for a ministry or an institution?
A dashboard puts figures from the systems you already run in front of leaders, so decisions rest on your own data. We start by agreeing the questions it must answer, then bring the data together and build it with you.
Have you built a data platform before?
Yes. We designed and built the open-source Sierra Leone open election data platform, with a data model for ballot results, polling stations and incident reports. We also designed a data management and analysis platform for election-violence monitoring networks in the Maldives and Senegal for IFES, with the Maldivian Democracy Network and the Goree Institute.
Is the election data platform open source?
Yes. It is open source under GPL-2.0, and the code is on github.com/TpISENT.
Do you build machine learning models?
Yes, as practical AI built on your own data, such as prediction and classification. We begin with the question you need answered, then build around the data you have.
How do you handle data quality?
Data governance and quality are part of the service. We have also published our view that the quality and diversity of data decide how far an AI system can be trusted, particularly in low-income economies.
Should I choose AI and data or the AI Practice?
Choose AI and data for data platforms, analytics, dashboards and machine learning. Choose the AI Practice for AI strategy, generative AI, agentic AI, AGI readiness and responsible AI.