Nexma AgentEngine
Orchestrate Agentic Spatial Workflows
Compose, schedule, and observe AI agents that design, analyze, and operate physical infrastructure end-to-end — with every action grounded in the world model and fully auditable.
Legacy Challenges
Why Spatial Automation Stays Stuck
Most spatial automation is a pile of brittle scripts with no awareness of the world they act on and no record of what they did. That doesn't scale to agents that design and operate real infrastructure.
Brittle Scripts
Hand-wired scripts and RPA break the moment a data source, projection, or schema shifts — and every new workflow starts again from scratch.
Core Capabilities
The Orchestration Layer for the agent
Nexma AgentEngine turns the agent into a governable workforce — composed into workflows, scheduled and triggered, and observed end-to-end.
From prompt to pipeline
Chain the agent steps — design, analyze, optimize, dispatch — into reusable spatial workflows that run the same way every time, across any domain.
Product Benefits
Put Agents to Work on Real Infrastructure
Move from one-off prompts to dependable, observable workflows that design, analyze, and operate your physical world — under your control.
From prompt to production
Capture a working agent flow once and run it reliably forever. The same workflow handles one site or a national program without rewrites.
Govern every agent action
Scoped tools, isolation, and a complete audit trail mean you can let agents act on live infrastructure with confidence and accountability.
Scale from one agent to a fleet
Start with a single workflow and grow to coordinated fleets across teams and missions, with deterministic handoff between every agent.
Feature Details
An Engine for Agentic Operations
Nexma AgentEngine gives you the controls to build, run, observe, and govern the agent across your entire spatial operation.
Workflow Composition
Assemble multi-step agent flows from reusable building blocks, versioned alongside the world model they act on.
Domain-Agnostic Steps
Every step uses the same generic primitives, so a workflow built for one domain ports to another by swapping the ontology.
Templates
Start from proven patterns for design, analysis, and operations, then tailor them to your data and constraints.
Related Products
Explore the Spatial AI OS
One platform for all spatial data and workloads, from design to field operations.
FAQ
Get the Facts About Nexma AgentEngine
Read the DocsIt is the orchestration layer for AI agents. You compose the agent into reusable spatial workflows, schedule and trigger them, and observe every step — so agents can design, analyze, and operate infrastructure end-to-end, under your control.
Conventional automation moves data between systems with no understanding of space. AgentEngine runs agents that reason against the world model and ontology, act through scoped spatial primitives, and leave a full audit trail of every decision.
Anything the agent can do — design a network, run an analysis, optimize a plan with the MathEngine, ingest a feed, or dispatch a crew — composed into a workflow that runs the same way every time.
Agents act only through eight generic primitives, run in scoped isolation, and can be gated by human approval. Every action is logged and reversible, so you can trust automation against the live world.
Yes. It runs fleets of agents across projects and organizations with deterministic handoff, isolation, and governance, rather than a single unmonitored loop.