NexGen is the complete operating system for enterprise AI that unifies multi-agent orchestration with native framework integration, predictive cost controls, and complete lifecycle governance - moving you from pilot to production in up to 30 days.
The full lifecycle of enterprise AI - from agent creation to compliance audit. Built to work together from day one.
Our 15-step wizard walks you through every aspect of agent creation — from basic info and LLM configuration to security policies, tools, and deployment.
View, search, and manage all your deployed and draft agents from a single dashboard. See model configurations, versions, and status at a glance.
Deep-dive into any agent with a comprehensive detail view — test conversations, inspect deploy logs, review config, browse code, and monitor memory and scheduler data.
Design complex multi-agent workflows on an interactive canvas. Connect agents with drag-and-drop, configure triggers, and visualize the entire execution pipeline.
A centralized registry of every workflow across your organization — draft, active, or archived. Search, filter, and manage pipeline configurations from one place.
Build agent networks that collaborate, delegate, and self-coordinate across complex enterprise tasks.
A comprehensive security platform built into every agent. Monitor PII detection, track threat intelligence, analyze attack paths, and maintain full audit trails.
Build, manage, and publish MCP servers to extend agent capabilities with custom tooling — all governed in-platform.
A centralized hub for managing all external API integrations — import, configure, monitor, and govern every connection from one place.
Full accountability across your entire AI operation with immutable audit logs, policy enforcement, and exportable compliance reports.
Know what triggered it, what each node did, and how long it took — with live execution tracing and root-cause drill-down.
Connect tools, automate workflows, enforce security, and audit every action from one unified platform, without writing orchestration code.
LangChain, LangGraph, AG2, LlamaIndex, or custom — whatever your stack, KR Elixir adds the governance layer your enterprise needs. Import agents directly into the Agent Builder and configure LLM, memory, and tools through the 15-step wizard without rewriting your chain logic.
Build stateful, graph-based agent workflows visually in the Workflow Builder. Human-in-the-loop and rewind logic map directly to our approval gate and trigger steps — no additional configuration required.
Multi-agent conversation flows are natively supported via Sub-Agent configuration in Step 8 of the Agent Builder — define delegation, hand-off, and fallback logic without code.
Connect RAG pipelines as data sources in Step 6 (Data & Memory). Point your LlamaIndex query pipeline to any vector store in the Shared Resources library — no restructuring of existing pipeline logic required.
Use the Agent Builder's no-code mode to define your own agent from scratch — or bring your own code and wrap it in a governed, monitored deployment via our API. Full flexibility at every level of the stack.
Native MCP Builder lets you connect any external tool — Filesystem, GitHub, PostgreSQL, Slack, Google Drive, Jira, AWS S3, and more — directly to your agents with one click. Governed, versioned, and monitored from day one.
180+ connectors across model providers, cloud platforms, vector databases, and enterprise tools — available from day one.
IT Ops deploys specialised Provisioning Agents via the Agent Builder. These agents anticipate load and autonomously spin up the necessary cloud infrastructure.
Utilising Agent Monitoring, the team oversees automated health checks and self-healing protocols, guaranteeing zero-downtime execution.
Sec Ops leverages Agent Security to seamlessly inject compliance checks directly into the deployment pipeline.
Through Workflow Security, agents continuously audit data streams and configurations, ensuring proactive alignment with global privacy frameworks (e.g., GDPR, SOC2) without stalling development.
To ensure high availability, DevOps utilises the MCP Builder to target a distributed cloud architecture.
Relying on Workflow Monitoring, they supervise AI agents that autonomously orchestrate the CI/CD pipeline, executing automated testing and deploying the application code across the multi-cloud environment with precision.
The moment the campaign goes live, Sales leadership activates Lead Routing Agents from the Agent Inventory.
Utilising the API Hub, these agents ingest campaign data, autonomously enrich and score incoming leads, and inject them directly into the CRM — instantly arming the sales force with actionable intelligence.