AdvocacyLab
AI-powered tools for nonprofits to enhance their advocacy, research, and communication.
Helping nonprofits produce evidence-based reports, stress-test advocacy, and turn data into persuasive narratives. With ethical, open weights models instead of Big Tech AI.
We focus on strengthening human expertise, not replacing it.
What we're building
AdvocacyLab is an AI-powered platform designed specifically for nonprofits. It provides access to ethical, open weights AI models at comparable performance to Big Tech, with nonprofit-specific features built in.
Use AdvocacyLab the same way you use AI today: for summarising texts, getting feedback on your writing, brainstorming ideas, and more.
Get AI feedback on draft reports from different stakeholder perspectives (experts, policymakers, journalists, funders, and critics) to stress-test arguments before publication.
Upload data for insight suggestions and analysis advice, search through your knowledge base for relevant evidence, or accelerate your research workflow.
Our approach
Clear standards for responsible AI in nonprofit work.
1 Ethical AI sourcing
We build on open weights models (DeepSeek, Qwen, Kimi) from providers without military, surveillance, or advertising contracts. No Big Tech dependencies, no opaque algorithms.
2 Data protection & privacy
Your data stays yours. We don't use your content to train models, don't share it with third parties, and will soon offer optional self-hosted deployment. We use model providers with strict data-privacy guarantees.
3 Strengthening human work
Our tools provide feedback and analysis to help you produce better, more rigorous work. We focus on augmenting nonprofit expertise, not replacing it: we don't facilitate the generation of low-effort content, grant applications, or full reports.
4 Transparency about limitations
AI has limits: it can hallucinate, reflect biases, and miss context. We're clear about what our tools can and cannot do, and we encourage human review and validation for all critical outputs.
Our expertise
We built AdvocacyLab because we needed better review and analysis tools for our own advocacy research. Our evaluation framework and benchmark are how we ensure it delivers.
AI evaluation framework
A structured methodology for assessing AI models across ethics, security, privacy, and fitness for nonprofit work. Every model and capability in AdvocacyLab is vetted through this framework.
See our AI evaluation training →Nonprofit AI benchmark
The first AI benchmark designed for nonprofit advocacy, testing models' ideological positioning, bias detection, source and evidence assessment, and sensitive content handling. Results directly inform model selection and capability development.
What AdvocacyLab can do
Features are rolled out based on nonprofit feedback and funding.
Coming first Planned
Report analysis & review
Basic report review
Coming firstUpload a draft report and get AI feedback on language, logical flow, bias, evidence strength, and more. Identify weaknesses before publication.
Peer and adversarial review
Coming firstUpload a report and select which stakeholder perspectives to include. AI personas (experts, policymakers, journalists, funders, critics) provide feedback to stress-test arguments before publication.
Fact-checking
PlannedAutomatically verify claims in reports against trusted sources and knowledge bases. Ensure evidence is accurate and well-supported.
Data narrative builder
PlannedWeave data into persuasive narratives. Transform survey results, program metrics, and other data into draft report outlines, visualisations, and key messages.
Research assistant
Deep research
Coming firstSearch through databases of previous reports (from your organisation or external sources) to find relevant information, precedents, and evidence.
Document analysis
Coming firstUpload source documents for AI-assisted review: check sourcing quality, identify gaps in evidence, and extract key findings to support your research.
Knowledge base integration
PlannedBuild a custom knowledge base with RAG (Retrieval-Augmented Generation) to ground AI responses in your organisation's past work and trusted sources.
Data analysis advisor
Data advice & KPI suggestions
PlannedUpload data files and get immediate recommendations on appropriate statistical methods, key performance indicators, and visualisation approaches.
Advanced data pair-analysis
PlannedFor data science teams: collaborative AI analysis that reviews your methodology, suggests improvements, and helps interpret complex results.
What makes AdvocacyLab different
Our approach versus generic AI tools
Nonprofit-first design
We've worked in social and humanitarian sectors for years. We understand nonprofit needs, constraints, workflows, and ethical considerations.
Ethical AI foundation
Built on open-source AI models from labs without military, surveillance, or advertising contracts. We focus on strengthening human work, not generating low-effort content or automating core nonprofit functions.
Integrated solution
One tool for report review, research, and data analysis. Reduces complexity and cost compared to juggling multiple subscriptions.
Cost-effective access
Tiered pricing based on organisation size. Smaller groups pay less.
Data sovereignty
Your data stays yours. No training on your content, no sharing with third parties, and optional self-hosted deployment for full control.
Interested in supporting AdvocacyLab?
AdvocacyLab aligns with funder priorities: it strengthens nonprofit capacity, improves advocacy quality, and ensures evidence-based approaches. We focus on review, feedback, and analysis. Not on generating content.
Development has started and we are planning to beta test with 5 nonprofits. We're seeking support for continued development.
Reach out
Connect with us to find out how we can help you use data and AI for greater impact.
The initial consultation is always free.
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