BrandJet AI Launches Agent Protocol

- The Artemis protocol is designed to solve context limitations in LLMs by creating a standardized way for AI agents to connect with external tools and data, allowing them to tackle more complex, multi-step tasks. Unlike traditional API integrations which must be custom-coded for each tool, a Model Context Protocol (MCP) allows an agent to dynamically discover what tools are available and how to use them. - BrandJet AI was founded in 2025 in Seattle by Marsad Aurangzeb and Nirav Shah and, according to November 2025 data, the company is currently unfunded. The company's stated goal is to reduce the fragmentation of sales and marketing tools by unifying brand monitoring and outreach into a single platform. - The company's platform is designed to unify brand monitoring across social media and news with multi-channel outreach capabilities, including email, LinkedIn, Twitter, and WhatsApp. This allows users to move from detecting a "buying signal" online to initiating an outreach sequence within the same environment. - Artemis is a protocol layer, not a specific agent. It is designed to work with various AI models, allowing users to connect their own keys for models from OpenAI, Google, Claude, and others. - The newly introduced "Forward Deployed Account Executive" (FDAE) role is a commercial position focused on helping customers implement the AI platform to achieve specific revenue goals. This appears to be a sales and strategy-focused version of the "Forward Deployed Engineer" role seen at other AI companies like Scale AI, which is a technical, customer-facing role responsible for deploying AI into client environments. - The core problem BrandJet AI aims to solve is the "tool soup" that go-to-market (GTM) teams face, where they must stitch together multiple separate systems for social listening, data enrichment, sales engagement, and analytics.