Governments, parties, and regulatory bodies publish policy in complicated language across hundreds of pages. But people are unique. The same policy means entirely different things depending on who you are.
Hundreds of pages of legal and regulatory text that most citizens cannot parse, even when it directly affects their rent, pension, or rights.
The same policy means different things depending on where you live, what you earn, whether you have children, or what kind of work you do.
Election programmes, coalition agreements, and legislative proposals all require context citizens do not have to make informed democratic choices.
No way to know how citizens engage with the policies they make or propose. Publication is the end of the line.
Same regulation, different explanation depending on who is reading it
Which paragraph caused confusion, not just which policy
When citizens ask about something the policy does not address, BigGov flags it
AI recommends what to fix. Publish a clarification. Before/after comprehension tracked. Demographics, trends, and behaviour patterns inform every decision
Threshold monitoring, external event detection, document comparison. Push documents to citizens and track engagement. Structurally neutral
Policies, programmes, regulatory changes, and manifesto commitments enter BigGov. The platform processes them automatically, extracting every section, clause, and obligation.
Each document is explained in plain language and adapted to the citizen's personal circumstances. They read, ask questions, and interact. Every question they ask is a signal.
Every interaction generates anonymised data. Institutions see comprehension per section, sentiment, citizen questions, coverage gaps, demographics, behaviour patterns, and engagement trends. External events that spike engagement are detected automatically.
AI generates prioritised recommendations. Publish a clarification and track before/after comprehension. Push documents to citizens via Spotlight. Prepare guidance before scheduled events. The loop closes.
Choose which ministries, parties, or regulatory bodies matter to you. See every policy they publish.
Plain language summary. Concrete example with real numbers. Personal impact based on your job, location, family. What you can actually do.
AI answers from the source document. Personal impact analysis based on your profile. Like having a lawyer who speaks human.
Get notified when policies change, new ones are published, or a gap you asked about gets clarified by the institution.
BigGov AI answers using only the source document. Personal impact analysis based on your profile, grounded in the source document.
Every answer is traceable to a specific section of the original document. Nothing invented.
It knows where you live, what you do, what your family looks like. The answer is specific to your life.
Ask follow-ups. Change your scenario. Say "what if I have kids" or "what about Potsdam instead." It adapts.
Reach, comprehension, sentiment, and coverage gaps across all your documents. One live dashboard for your entire policy portfolio.
Which paragraph of which document caused confusion. Comprehension hotspots, not just document-level metrics.
Citizens asked about it but your document does not address it. Ranked by frequency, tracked by trend.
Conversation depth, session resolution, question sequences. How citizens actually navigate your content.
Which sections to clarify, which gaps to address, which documents to spotlight. Prioritised by citizen impact.
Issue a clarification and track how it changes comprehension over time. The feedback loop, closed.
External events that trigger engagement spikes, detected and correlated automatically. Prepare guidance before the wave arrives.
Citizens use BigGov for free. Always. Institutions pay for the anonymised intelligence that citizen engagement generates.
The platform is structurally neutral. Paying clients cannot influence how their policies are presented. The neutrality engine and mandate tracker are not modifiable by any external party.
BigGov is a company in formation, headquartered in Germany. We are targeting launch in 2027.
We believe democracy works better when citizens understand the policies that affect them.
LL.M. European Law. Drives strategy, institutional partnerships, and regulatory architecture.
Dipl.-Ing., 20+ years Java, enterprise systems. Builds the platform, the AI pipeline, and the intelligence engine.
BSc Mathematics (KNUST), MSc Technomathematics (Uni Hamburg). Machine learning, predictive modeling, and data intelligence.
If you are a government ministry, political party, regulatory body, or NGO interested in how BigGov can help you understand how citizens engage with your documents, we would like to hear from you.
biggoveu@proton.meBigGov launches in 2027. Join the waitlist to be among the first to use it. Free for citizens, always.
Join the waitlist →Free for citizens. Always. We will notify you when the app is ready.
BigGov is a civic intelligence platform operated by BigGov (company in formation), based in Germany. This privacy policy explains how we collect, use, and protect your personal data.
When you join our waitlist, we collect your email address. When you use the BigGov app (upon launch), we collect information you provide during onboarding, including your location, employment status, and family situation. This data is used exclusively to personalise policy content for you.
Your data is used to personalise policy explanations and to generate anonymised, aggregated intelligence for institutions. No individual data is ever shared. All institutional analytics are based on groups of 50 citizens or more.
You have the right to access, correct, delete, or export your personal data at any time. Contact biggoveu@proton.me.
All data is stored within the European Union. We do not transfer data outside the EU.
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BigGov (company in formation)
Germany
Jeffrey Banfro, BigGov (company in formation)
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