From structured orchestration to verified generation. We're solving the reliability problem that stands between AI and enterprise-grade software.
LLMs lose coherence as complexity rises. We're building the orchestration frameworks and verification systems that restore reliability at scale.
Investigating novel neural architectures beyond the transformer paradigm. State-space models, graph neural networks, and hybrid approaches.
Multi-agent orchestration with test-driven development. Specialized agents that collaborate through structured artifacts and iterative verification.
Advanced retrieval-augmented generation, vector architectures, and semantic memory systems for grounded intelligence.
Exploring reward modeling, RLHF alternatives, and self-improving systems that learn from interaction and feedback.
Where research meets production. We're transforming our findings into tools that developers will actually use.
AI-native tools for the agentic era. Code analysis, visual documentation, and intelligent automation.
Reproducible experimentation for multi-agent systems. Benchmarks, evaluation harnesses, and orchestration.
Interested in what we're building? We're selectively exploring partnerships and conversations with aligned teams.
info@integrallis.com