Exploring the frontier of intelligent systems
Blacktail maintains an active R&D practice focused on emerging capabilities in AI, automation, and infrastructure. We build internal prototypes, conduct limited field experiments, and document our findings in engineering notes.
Research Themes
AI Architectures
Experimenting with novel approaches to LLM orchestration, context management, and multi-agent systems.
Intelligent Document Systems
Pushing the boundaries of document understanding, extraction, and automated reasoning over unstructured data.
Automation Frameworks
Building reusable patterns for workflow orchestration, error handling, and human-in-the-loop automation.
Cloud & Performance
Investigating cost optimization strategies, serverless patterns, and edge computing architectures.
How We Explore
Our R&D work is deliberately low-key. We don't publish whitepapers or seek conference speaking slots. Instead, we:
- Build internal prototypes to test new technical approaches - Run limited field experiments with partner organizations - Document findings in engineering notes for internal reference - Gradually incorporate proven techniques into client work
This approach lets us stay current with emerging capabilities while avoiding the hype cycle around "bleeding edge" technologies.
Engineering Notes
Browse our technical notes and observations from ongoing research