About
Orbis Discovery transforms how intelligence professionals gather, analyze, and act on open-source information. Rather than forcing analysts to manually search across dozens of platforms, Discovery submits a single question and simultaneously queries real-time news feeds, open-web sources, cyber threat intelligence, geospatial data, social media, financial records, and user-uploaded documents — returning structured, cited findings in minutes instead of hours. Every answer is backed by inline citations, and evidence gaps are explicitly flagged so analysts never have to speculate or defend unsourced claims in a briefing. The platform's zero-knowledge architecture ensures that queries and results are never stored, trained on, or accessible to other users, with project-specific encryption protecting every investigation. Additional capabilities include instant identity resolution from a single identifier (name, email, phone, or social handle), automatic translation of foreign-language content into English, and structured project workflows with automated collection and reporting pipelines. Discovery is a managed commercial SaaS operated entirely by Orbis Operations, requiring no client-side deployment or infrastructure maintenance. It holds FedRAMP Moderate, SOC 2 Type II, and ISO 27001 certifications, making it a credible enterprise alternative to Babel Street, Fivecast, Maltego, Recorded Future, and Palantir Gotham. Access is license-based with per-user, capability-tiered pricing suited for intelligence teams and national security organizations.
Key Features
- Multi-Source Intelligence Gathering: Simultaneously queries real-time news, open-web, cyber, geospatial, social, financial, and uploaded data sources from a single question — eliminating manual, platform-by-platform research.
- Cited Answers with Evidence Tracing: Every finding is backed by inline citations traceable to its original source. Evidence gaps are explicitly flagged, so analysts can fully source and defend their intelligence products.
- Zero-Knowledge Query Privacy: Queries and results are never stored, logged, or used for model training. Project-specific encryption ensures complete analytic privacy for every investigation.
- Person Search & Identity Resolution: Instantly resolves identities across open sources from a single identifier — name, email, phone number, or social handle — without manual correlation.
- Automated Translation & Structured Workflows: Foreign-language content is automatically translated into English, and structured project workflows with automated collection pipelines reduce analyst error and processing time.
Use Cases
- National security analysts researching threat actors, foreign entities, or geopolitical events across multiple open-source data platforms simultaneously.
- Intelligence teams producing briefing-ready reports that require every claim to be sourced and traceable to a verifiable origin.
- Counterterrorism and law enforcement investigators performing rapid identity resolution from a single identifier — name, email, phone, or social handle.
- Organizations monitoring maritime activity, infrastructure changes, or geopolitical escalation using correlated news, satellite imagery, and vessel tracking data.
- Intelligence units working with foreign-language sources who need automatic translation into English without relying on dedicated linguists or separate translation tools.
Pros
- Government-Grade Security Certifications: FedRAMP Moderate, SOC 2 Type II, and ISO 27001 certifications make Discovery suitable for national security and classified-adjacent use cases requiring strict compliance.
- Fully Cited, Defensible Intelligence: Inline citations and explicit evidence-gap flagging allow analysts to trace every claim to its source, producing briefing-ready products rather than unsourced AI summaries.
- Unified Multi-Source Search: Replaces a fragmented stack of ten or more OSINT tools with a single structured workflow, dramatically reducing the risk of missed signals and analyst fatigue.
- Zero Stored Queries: The zero-knowledge architecture ensures sensitive investigations remain completely private — no queries are retained, trained on, or visible to other users or Orbis staff.
Cons
- No On-Premises or Government-Cloud Deployment: Discovery is exclusively a managed commercial SaaS product and does not support deployment to client infrastructure, government-managed cloud, or air-gapped environments.
- Enterprise Pricing: License-based, per-user pricing tiered by capability is designed for organizational teams, making it cost-prohibitive for individual researchers or small teams without dedicated intelligence budgets.
- Specialized Audience: As a highly opinionated tool built specifically for national security professionals, it may not be well-suited for general-purpose research, journalism, or commercial competitive intelligence use cases.
Frequently Asked Questions
What data sources does Orbis Discovery query?
Discovery simultaneously queries real-time news, open-web content, cyber threat intelligence, geospatial data, social media, financial records, video sources, and user-uploaded documents — all from a single query.
Is my data or my queries used to train Orbis AI models?
No. Discovery operates on a zero-knowledge architecture. Queries and results are never stored, trained on, or accessible to other users. Project-specific encryption ensures complete analytic privacy.
What security certifications does Orbis Discovery hold?
Discovery is FedRAMP Moderate authorized, SOC 2 Type II certified, and ISO 27001 certified, making it suitable for sensitive government and national security use cases.
Can Discovery be deployed on-premises or in a government cloud?
No. Discovery is a fully managed commercial SaaS product operated on Orbis-owned cloud infrastructure. It does not support on-premises, government-managed cloud, or client-side deployment.
How does Discovery differ from a general-purpose AI chatbot like ChatGPT?
Discovery is a structured analytic workflow purpose-built for intelligence professionals — not a chatbot. It queries live, multi-source data and returns fully cited answers with explicit evidence gaps, rather than generating plausible but potentially unverifiable responses.
