Zorost Intelligence designs and deploys next-generation generative AI and agentic systems tailored for real-world, mission-driven applications. From copilots in aviation to autonomous knowledge agents for federal workflows, we architect secure, explainable, and high-performing generative models grounded in your data and context.
Our expertise spans Retrieval-Augmented Generation (RAG), multi-agent orchestration, LLM tuning, and multimodal AI systems. We integrate directly into enterprise cloud stacks—whether you’re leveraging Azure AI Foundry, AWS Bedrock, SageMaker, or Databricks Model Serving. Our solutions don’t just generate—they reason, adapt, and comply.
What We Deliver:
Domain-Tuned LLMs & RAG Systems
Fine-tune models like LLaMA 3, GPT-4o, or Mistral using internal documents, secure repositories, telemetry streams, and GIS data. We deploy RAG architectures with vector databases and hybrid search techniques for high-accuracy, enterprise-ready retrieval.Aviation & Geospatial Agents
Build copilots for airport operations, flight forecasting, and geospatial intelligence—capable of querying databases, answering spatial queries, and simulating logistics outcomes.Agentic Architecture Design & Lifecycle
Construct agent-based workflows that include memory, planning, action-taking, and coordination—executed via frameworks like LangChain, CrewAI, or AutoGen.Multimodal Generative Interfaces
Deploy AI interfaces that handle text, imagery, audio, GIS layers, and video—useful in emergency response, medical diagnostics, or flight scenario visualizations.Secure Enterprise Integration
Seamlessly integrate agents into cloud-native pipelines using Azure AI Studio, Bedrock Agents, and Databricks ML Runtime. Include observability, drift detection, access control, and output validation layers.Evaluation & Guardrail Automation
Automate prompt testing, red-teaming, grounding evaluation, and fairness audits using tools like PromptLayer, LangSmith, and Azure Content Safety.
Zorost’s Edge:
Domain-Specific Intelligence at Scale:
We deliver agentic systems that understand aviation constraints, federal compliance requirements, or geospatial semantics—making AI truly useful.Composable Cloud-Native Architectures:
Use our modular blueprints built on Fabric Pipelines, Databricks Vector Search, and Azure OpenAI to avoid vendor lock-in and scale flexibly.Security & Governance by Design:
Implement role-based response tuning, audit logging, differential privacy layers, and retrieval tracing to meet security and compliance standards.LLMOps & Production Agility:
We enable version control, A/B testing, canary deployments, and continuous fine-tuning pipelines for LLMs, using Databricks MLflow and AWS SageMaker Pipelines.
Deploy copilots for delay prediction, flight safety recommendations, and operational optimization across airport operations and air traffic scenarios.
Equip analysts, policy experts, and field operators with secure generative AI tools for report drafting, situational awareness, and compliance assessment.
Power biomedical LLMs for literature review, molecule reasoning, clinical query agents, and trial optimization—securely integrated with internal databases.
Create agents that query terrain data, simulate flood models, or assist in zoning/planning with multimodal map-aware reasoning.
