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Officialis

Officialis offers an AI‑driven platform that continuously ingests public records, voting histories, donations, and social‑media statements to create up‑to‑date “living dossiers” of political actors. The service stores these data in a structured knowledge graph with source citations and provides real‑time sentiment rankings, influence graphs, and issue‑level scores through a web dashboard and RESTful API for government‑affairs, lobbying, and corporate policy teams.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Government‑affairs and lobbying professionals rely on static databases and manual research, which produce data that is often outdated by the time it informs strategy. This lag hampers timely decision‑making and increases compliance risk in a market where legislative outcomes shift rapidly.

Solution

Officialis delivers AI‑native “living dossiers” that continuously ingest public records, voting histories, donations, social‑media statements, and other verifiable sources. An automated pipeline updates sentiment rankings, influence graphs, and issue‑level scores in near real‑time, ensuring that users work with the latest intelligence. Each insight is stored in a structured, persistent knowledge graph, enabling fast queries and seamless integration with existing workflow tools. The platform provides full traceability by linking every metric to its original source, eliminating black‑box predictions and supporting audit‑ready reporting. Users access these analytics through a web dashboard and a RESTful API, allowing them to embed political risk metrics directly into lobbying CRM systems or compliance dashboards.

Target Audience

Primary customers are government‑affairs departments, lobbying firms, and corporate public‑policy teams that require up‑to‑date, verifiable political intelligence for strategy and compliance.

Features

  • AI‑driven sentiment ranking that quantifies an official’s alignment on specific issues, with citations to votes, public statements, donations, and social posts.
  • Dynamic influence graph mapping relationships among officials, donors, staff, and affiliated organizations, updated continuously as new data arrives.
  • Issue‑level scoring (“political credit score”) that aggregates multiple signals into a filterable metric, with historical trend visualizations.
  • Explainable analytics layer that surfaces the underlying source for every data point, supporting verification and regulatory compliance.
  • Structured knowledge‑graph storage optimized for fast, ad‑hoc queries and bulk export via a secure REST API.
  • Automated data ingestion pipeline leveraging domain‑specific large language models to extract and normalize information from heterogeneous public feeds.
  • Role‑based access controls and end‑to‑end encryption to protect sensitive intelligence while meeting industry security standards.
This profile is AI-generated and may contain inaccuracies.