Build agents that execute real work
Model multi-step logic once, then run it repeatedly
- Design multi-step workflows with branching logic
- Call internal tools and custom services
- Use the LLMs that fit each workflow
AI platform
Automate business workflows with AI agents.
Nexus helps enterprise teams automate operational workflows with AI agents that can call tools, query data, and take action. Build visually for speed, add code for precision, and deploy on-prem or in the cloud without rewriting core logic.
A message arrives, a classifier decides what kind of request it is, and the agent picks the model that fits — with memory attached and every tool call routed through the same graph you designed.
Nexus gives teams one place to design, test, and deploy multi-step agents that call real tools and move real workflows forward.
Model multi-step logic once, then run it repeatedly
Answer questions, create tasks, and trigger actions from channels your team already uses
Self-host, air-gap, or use cloud based on your requirements
Iterate quickly without rerunning everything
Use 10+ templates for common automation patterns. Connect your systems, adjust the business logic, and ship a working flow the same day.
Roll out automations with governance, observability, and team controls from day one.
Give end users access to 500+ integrations under your brand, with self-serve automation experiences they configure themselves.
Three stages, in order — from raw input to the decision your team actually makes.
Design branching AI workflows quickly, then layer custom code only where deeper control is needed.
Use integrations and custom connectors so agents can query data, trigger actions, and update records.
Promote tested flows to production with logging, scheduling, and policy controls built in.
500+ connectors
Connect SaaS, databases, APIs, and internal systems.
Multi-step agents
Support long-running workflows with branching and tool calls.
Cloud or on-prem
Run in the environment that matches your data constraints.
Automate business workflows with AI agents. Tell us about your systems and your timeline, and we will show you what a first deployment looks like.
Whether you’re scoping a first AI initiative or scaling one that’s already live, we reply from Riyadh — in Arabic or English.