Generative & Agentic AI.
We engineer multi-agent systems that produce verified work products under human command: planner, executor, critic, and referee roles with typed tool contracts, hybrid retrieval, and evaluation harnesses.
Agents engineered like systems, not demos.
Role separation, deterministic tool use, persistent memory, and evaluation harnesses on every agent. The same discipline that runs our own platforms in production, with human-in-the-loop checkpoints wherever the stakes are high.
- Planner, executor, critic, and referee architectures
- Typed tool contracts with deterministic call logs
- Approval layers on consequential actions
- Evaluation harnesses, regression tests, and audit logs
Every answer carries its evidence.
Hybrid retrieval combines vector search, lexical search, and structured filters with re-ranking, so generation stays grounded in your sources. Citation-grounded output links each claim to the document behind it, and hallucination scoring runs in the evaluation loop.
- Hybrid RAG: vector, lexical, and structured filters
- Citation-grounded generation with source links
- Multi-model routing across closed and open weights
- Custom MCP servers that expose your platform to agents
From cloud to fully air-gapped.
We start from a real workflow, wire agents to the tools and data it already uses, and ship with supervision built in. The same stack deploys in the cloud or entirely air-gapped on local models, for environments that cannot accept internet egress.
We run what we sell.
FreightCortex operates a tool-using freight analyst with a public MCP server. SPCio runs supervised quality workflows fully air-gapped on local LLMs. EvidAI runs multi-model consensus screening, and AlchemyLake runs verified creative pipelines with sealed provenance. These are deployed systems, not slideware.
Proof in Production
Platforms behind this serviceSignals
Agentic AI EngineeringHuman-in-the-Loop That Doesn’t Kill Velocity
Local and Air-Gapped LLMs, What Actually Works Offline
GraphRAG and Knowledge Graphs, When the Extra Structure Pays
Long-Horizon Agents, Memory, Compaction, Context Discipline
Questions, answered
Generative & Agentic AI · common questionsWhat does Zorost's Generative & Agentic AI service include?
Production multi-agent systems and LLM applications that reason, plan, call tools, retrieve, and ground every claim in evidence. Agents that do real work under supervision, not chatbots. We engineer multi-agent systems that produce verified work products under human command: planner, executor, critic, and referee roles with typed tool contracts, hybrid retrieval, and evaluation harnesses.
How does Zorost approach Generative & Agentic AI?
Agents engineered like systems, not demos. Role separation, deterministic tool use, persistent memory, and evaluation harnesses on every agent. The same discipline that runs our own platforms in production, with human-in-the-loop checkpoints wherever the stakes are high.
Is Generative & Agentic AI available for federal contracts?
Zorost delivers this commercially, and brings the same discipline to federal missions when required (SAM.gov registered, NAICS 541511, 541512, 541715, 518210).
How do we engage Zorost for Generative & Agentic AI?
Engagements start with a working session on your goals and constraints, then a scoped first phase. Contact [email protected] or ask the concierge on this page.
Serving those who
need to stay ahead.
We don't pitch slide decks. We show you what we've already built in your domain, then engineer what your mission requires.