AI Infrastructure for Political Intelligence
General AI gives you language. Closed platforms give you workflow. PoliStack gives your AI a connected intelligence layer built on public political data.
Three layers, one missing piece
Your AI is fluent and your tools have workflows — but neither is grounded in how political power actually moves. PoliStack is the layer that connects them to the facts.
Gives you language
Fluent and fast, but ungrounded. It can phrase an answer about a bill or a donor — without a verifiable record behind it.
Give you workflow
Dashboards, seats, and exports locked inside one vendor. Powerful, but disconnected from the AI you already work in.
Gives your AI an intelligence layer
A connected knowledge graph of public political data your AI can query directly — grounded, traceable answers inside Claude or ChatGPT.
How PoliStack compares
A side-by-side look at general-purpose AI, closed policy platforms, and PoliStack as the intelligence layer between them.
General AI vs. closed platforms vs. PoliStack — side by side
| Layer 1General-Purpose AI Alone | Layer 2Closed Policy Platforms | The intelligence layerPoliStack | |
|---|---|---|---|
| What it is | ChatGPT / Claude without a structured political data layer | FiscalNote, Quorum, and similar policy workflow platforms | Political AI infrastructure: a public-data knowledge graph connected to the AI tools users already use |
| Best for | Drafting, brainstorming, summarizing, and explaining concepts | Bill tracking, alerts, dashboards, stakeholder workflows, and reporting | Structured intelligence across bills, members, committees, votes, money, lobbying, EOs, regulations, and relationships |
| Data sources | Open internet + model knowledge; quality varies and may be hard to verify | Licensed and curated legislative / regulatory data | Congress.gov, FEC, Senate LDA, Census, Federal Register, and public filings |
| Timeliness | Depends on model cutoff, browsing, or pasted context | Continuously updated platform data | Continuously updated political knowledge graph |
| Hallucination risk | Higher when the model lacks grounded, structured data | Lower because the corpus is curated | Lower because answers are grounded in structured entities, relationships, and source-traceable records |
| How it reasons | The model predicts and explains, but without a political data layer | Searches and summarizes records inside the vendor platform | PoliStack provides the political data layer; the LLM provides the reasoning, so better models make the insights more valuable |
| Infrastructure layer | No automatic connection to political data, filings, or institutional knowledge | AI is usually embedded inside the vendor’s own platform | PoliStack acts as the intelligence layer between public political data and the AI tools your team already uses |
| Where it runs | Inside the AI product itself | Inside a separate policy platform | Across Claude, ChatGPT, Claude Code, Codex, and future LLM workflows through the connector |
| Built-in tools | Generic AI tools; not built for political intelligence | Platform-specific tools for tracking, alerts, and workflow management | Purpose-built intelligence tools that generate briefs, profiles, comparisons, maps, and multi-hop analysis from simple prompts |
| Privacy | Data handling depends on model and workspace settings | Notes, positions, and workflows may live inside the vendor system | Prompts, queries, and questions stay within the customer’s organization and are not visible to PoliStack |
| Organizational context | Must be pasted repeatedly or managed through model memory/settings | Stored inside the vendor’s platform workflow | Can be configured around a client, issue, race, sector, organization, or policy objective |
| Policy analysis | Can summarize text, but often misses procedural, financial, and relational context | Strong for tracking and reporting on known issues | Strong for multi-hop intelligence: bill → sponsor → committee → vote → donor → PAC → lobbyist → regulator |
| Workflow burden | Easy to start, but users must keep finding, pasting, and verifying sources | Powerful, but often requires separate login, seat licenses, training, and workflow migration | Add the connector once; keep using the AI interface your team already knows |
| Analytical framing | May inherit internet bias, incomplete sourcing, or weak assumptions | Vendor-curated framing | Neutral house voice: public-data grounded, relationship-based, source traceable, and explicit about gaps |
A living political knowledge graph
Every member, bill, vote, donor, PAC, lobbying entity, and committee is structured as a node — linked through real-world relationships like SPONSORED, VOTED ON, DONATED TO, and LOBBIED FOR.
When your AI asks a question, it doesn’t guess — it follows those relationships to return answers you can trace, verify, and trust.
Built on the same class of knowledge-graph technology used by LexisNexis, NASA, and global financial institutions — adapted specifically for political intelligence.
What your AI gains
The intelligence layer turns a fluent model into a grounded political analyst.
Grounded, traceable answers
Responses are generated from structured public records — not scraped summaries or opinion content — so every claim can be traced back to a source.
Connected entities
Members, money, votes, and lobbying live in one graph, so your AI can follow the relationships others have to research by hand.
Works inside your AI
Connect once via the PoliStack connector and query it directly from Claude or ChatGPT — no new dashboard to learn.
Plain-English questions
Ask the way you think. PoliStack interprets the question and runs it against structured records to return a real answer.
Continuously updated
The graph is rebuilt from official sources on an ongoing basis, so answers reflect current filings, votes, and disclosures.
Cross-domain analysis
Span campaigns, Congress, lobbying, finance, and governance in a single question — the connections live in one place.
How it connects
PoliStack installs as a connector in the AI workspace you already use. Three steps, a few minutes.
Connect PoliStack
Add the PoliStack connector to Claude or ChatGPT. Setup is simple and takes just minutes.
Ask in plain English
Pose a question across elections, governance, money, or legislation — the way you'd ask a colleague.
Get grounded intelligence
Your AI queries the intelligence layer and returns a structured, sourced answer you can act on.
Built on public political data
The intelligence layer is assembled from official, publicly available structured datasets — independent of any government agency, party, campaign, or advocacy organization.
Give your AI a political intelligence layer
Start free in minutes. Ask plain-English questions across elections, governance, and money — and get structured intel you can act on.
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