Brinker was founded in 2023, alongside the rise of generative AI. AI is not something we adapted to or retrofitted into legacy infrastructure. It is foundational to our system, embedded across the entire workflow, from collection through analysis to mitigation.
Our customers benefit from multiple LLMs, each purpose-built for specific capabilities. These models are powered by proprietary data and a broad range of sources, including social platforms, AI tools, and news, unavailable to public LLMs. This data is enriched and analyzed using methodologies modeled on the practices of highly experienced intelligence analysts.
AI is inherently sycophantic. It aims to please, not necessarily to be accurate, a nonstarter in the world of intelligence. Brinker grounds its analysis in evidence and internal analysis, helping teams identify emerging threats earlier and providing intelligence they can trust.
Delivering this level and speed of insight requires significant token consumption. Our patent-pending token processes reduce these costs to a fraction of those typically associated with AI processing.
At the center of this approach is HANS, our AI agent.
Analysts can ask HANS plain-language questions and get clear, evidence-based answers across their risk environment, from which narratives need attention, to who is driving a conversation, to how much activity appears to come from bots.
HANS can also prepare for what comes next. A team can discuss an upcoming event with the system and ask it to monitor relevant narratives, actors, and risks as they emerge. As an intelligence-grade agentic OSINT analyst, HANS can autonomously act on a customer’s risk landscape, not only enhancing analysts, but effectively giving them a team to work with.
This approach has positioned Brinker as a trusted partner to organizations worldwide, from Japan to Australia to the United States, across sectors including banking, government intelligence, NGOs, and energy.