NextGen-AI

AGENTIC AI PLATFORM

Every workflow deserves an agent.

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.
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Explore NexGenAI
PLATFORM AT A GLANCE
15
Agent Builder Steps
Multi-LLM
GPT-4, Claude, Gemini
Multi-Cloud
Cloud Integrations
24×5
Monitoring & Response
Zero-Trust
Security Architecture
No-Code
to Low-Code
SOC 2
HIPPA ISO 27001
99.9%
Uptime
PLATFORM CAPABILITIES

One Control Plane for All Your Agents

The full lifecycle of enterprise AI – from agent creation to compliance audit. Built to work together from day one.

Build Agents in Minutes with a Guided Wizard

Our 15-step wizard walks you through every aspect of agent creation — from basic info and LLM configuration to security policies, tools, and deployment.
  • ●
    15-step guided creation wizard
  • ●
    Low-Code & No-Code development modes
  • ●
    AI-assisted system prompt generation
  • ●
    Supports GPT-4, Claude, Gemini, and custom LLMs
  • ●
    One-click deployment to live endpoints

Manage All Your AI Agents in One Place

View, search, and manage all your deployed and draft agents from a single dashboard. See model configurations, versions, and status at a glance.
  • ● Unified agent inventory across projects
  • ● Filter by status, model, and provider
  • ● One-click edit, view, and clone actions
  • ● Version tracking and deployment status
  • ● Shared resource management across teams

Full Visibility Into Every Agent's Lifecycle

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.
  • ● Live chat sandbox for testing agent behavior
  • ● Terminal-style deploy and runtime log viewer
  • ● Full configuration inspector with LLM details
  • ● Multi-file code editor with syntax highlighting
  • ● Memory and scheduler data exploration

Design Complex Multi-Agent Workflows Visually

Design complex multi-agent workflows on an interactive canvas. Connect agents with drag-and-drop, configure triggers, and visualize the entire execution pipeline.
  • ● Drag-and-drop workflow canvas — no coding required
  • ● Conditional branching and parallel execution paths
  • ● Agent nodes as first-class steps in any workflow
  • ● Webhook, schedule, and event-based triggers
  • ● Live execution monitoring and automatic error recovery

Organize and Track All Workflow Pipelines

A centralized registry of every workflow across your organization — draft, active, or archived. Search, filter, and manage pipeline configurations from one place.
  • ● Centralized workflow registry across all teams
  • ● Filter by status, trigger type, and execution history
  • ● Version control with instant rollback capability
  • ● Execution analytics and performance benchmarks
  • ● Cross-project workflow sharing and discovery

Agents That Collaborate, Delegate, and Self-Coordinate

Build agent networks that collaborate, delegate, and self-coordinate across complex enterprise tasks.
  • ● Agent-to-agent delegation and chaining
  • ● Event-driven and scheduled triggers
  • ● Shared memory and context across agents
  • ● Human-in-the-loop approval gates
  • ● Define triggers, hand-offs, and fallback logic without orchestration code

Zero-Trust Security for Every Agent, Every Action

A comprehensive security platform built into every agent. Monitor PII detection, track threat intelligence, analyze attack paths, and maintain full audit trails.
  • ● Agent-level role and permission controls
  • ● Data access scoping and PII protection rules
  • ● Real-time behavioral monitoring and anomaly alerts
  • ● Policy-as-code enforcement layer
  • ● Integration with enterprise SSO and identity providers

Connect Any Tool. Extend Any Agent.

Build, manage, and publish MCP servers to extend agent capabilities with custom tooling — all governed in-platform.
  • ● Visual MCP server builder with drag-and-drop tool registration
  • ● Publish private or shared MCP servers to your org’s inventory
  • ● Connect agents to databases, APIs, file systems, and internal tools
  • ● Version-controlled MCP schemas with rollback support
  • ● Test tools directly in-builder before agent deployment

One Platform for All Your External Integrations

A centralized hub for managing all external API integrations — import, configure, monitor, and govern every connection from one place.

  • ● Visual API builder with OpenAPI/Swagger import
  • ● Centralized API inventory across all agents and workflows
  • ● Authentication management (OAuth2, API keys, bearer tokens)
  • ● Request/response transformation and mapping
  • ● Rate limiting and usage monitoring per integration

Enterprise Governance, Built Into Every Action

Full accountability across your entire AI operation with immutable audit logs, policy enforcement, and exportable compliance reports.
  • ● Immutable audit logs for every agent action and decision
  • ● Role-based access control at agent and workflow level
  • ● Policy enforcement rules with automated flagging
  • ● Exportable compliance reports for SOC 2, GDPR, HIPAA readiness
  • ● Real-time anomaly detection and security alerts

Real-Time Visibility Into Every Workflow

Know what triggered it, what each node did, and how long it took — with live execution tracing and root-cause drill-down.
  • ● Live workflow execution trace view
  • ● Step-by-step node status and output logs
  • ● Error detection with root-cause drill-down
  • ● SLA tracking and execution time benchmarks
  • ● Alert configuration for failures and anomalies
FRAMEWORK SUPPORT

One Platform. Every Framework. Zero Lock-In.

Connect tools, automate workflows, enforce security, and audit every action from one unified platform, without writing orchestration code.

LangChain

15-STEP WIZARD INTEGRATION

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.

  • ● No Rewrite Required
  • ● Governed Deployment
  • ● Full Monitoring
  • ● Enterprise Security

LangGraph

VISUAL GRAPH WORKFLOWS
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.
  • ● No Rewrite Required
  • ● Governed Deployment
  • ● Full Monitoring
  • ● Enterprise Security

AG2 / AutoGen

NATIVE MULTI-AGENT SUPPORT
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.
  • ● No Rewrite Required
  • ● Governed Deployment
  • ● Full Monitoring
  • ● Enterprise Security

LlamaIndex

RAG PIPELINE INTEGRATION
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.
  • ● No Rewrite Required
  • ● Governed Deployment
  • ● Full Monitoring
  • ● Enterprise Security

Custom Agents

NO-CODE TO FULL-CODE
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.
  • ● No Rewrite Required
  • ● Governed Deployment
  • ● Full Monitoring
  • ● Enterprise Security

MCP Protocol

ONE-CLICK TOOL CONNECTIONS
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.
  • ● No Rewrite Required
  • ● Governed Deployment
  • ● Full Monitoring
  • ● Enterprise Security
PARTNER ECOSYSTEM

Works With the Infrastructure You Already Run.

180+ connectors across model providers, cloud platforms, vector databases, and enterprise tools — available from day one.
Google Cloud
AWS
Azure
OpenAI
Anthropic
Google Gemini
Mistral AI
Meta
Pinecone
Qdrant
PostgreSQL
MongoDB
Slack
Snowflake
Jira
Okta
APPLICATIONS

A Complete Operating System to Scale Enterprise AI

IT OPS

Infrastructure Automation

  • ACTION

IT Ops deploys specialised Provisioning Agents via the Agent Builder. These agents anticipate load and autonomously spin up the necessary cloud infrastructure.

  • DAY-TO-DAY

Utilising Agent Monitoring, the team oversees automated health checks and self-healing protocols, guaranteeing zero-downtime execution.

SEC OPS

Proactive Compliance

  • ACTION

Sec Ops leverages Agent Security to seamlessly inject compliance checks directly into the deployment pipeline.

  • DAY-TO-DAY

Through Workflow Security, agents continuously audit data streams and configurations, ensuring proactive alignment with global privacy frameworks (e.g., GDPR, SOC2) without stalling development.

DEVOPs

Rapid Multi-Cloud Deployment

  • ACTION

To ensure high availability, DevOps utilises the MCP Builder to target a distributed cloud architecture.

  • DAY-TO-DAY

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.

SALES

Instant Go-to-Market Readiness

  • ACTION

The moment the campaign goes live, Sales leadership activates Lead Routing Agents from the Agent Inventory.

  • DAY-TO-DAY

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.

USE CASES

Where This Works in Practice

FINTECH
  • Customer Onboarding Automation
Onboarding takes 5-7 days across siloed systems with errors across sales, legal, IT, and support teams.
A multi-agent system running KYC extraction, AML screening, document verification, risk scoring, and system setup in parallel – not sequentially.
SPEED
90%
reduction in onboarding time
AUTOMATION
80%+
process automation
QUALITY
5%
error rate
CSAT
+20%

improvement 

FinTech client: Onboarding 12w to 2w. 77% automated. $2.1M accelerated revenue.
FMCG / OPERATIONS
  • Intelligent Document Processing
Unstructured, multi-language, handwritten documents require manual entry – slow, error-prone, and unscalable.
A four-agent pipeline covering preprocessing, language detection, QA validation with re-OCR fallback, and structured JSON assembly with full audit trail.
APPROVAL
90%

auto-approval rate

MANUAL
~0

near-zero processing

COVERAGE
Multi
language at scale
FMCG client: 85-90% auto-approval. Significant reduction in manual effort.
ENTERPRISE ANALYTICS
  • Data Intelligence - DobsyGPT
Business users depend on data teams for ad hoc analysis, creating multi-day delays and bottlenecks at scale.
Natural language analytics converting plain English questions into charts, tables, and narratives in seconds – no SQL or BI tools required.
SPEED
Days→sec
insight turnaround
ACCESS
Self-serve
non-technical users
REACH
All BUs

across functions

Consumer credit org: Self-serve insights across analytics teams in production.

CORPORATE FINANCE
  • M&A Due Diligence Platform
Due diligence is manual, fragmented, and checklist-driven across multiple functions – causing delays and blind-spot risk.
Multi-agent system across all workstreams. Pre-discovery agents surface structured intelligence; execution agents build risk-ranked integration plans with human approval gates.
SPEED
10w→2w
DD cycle
AUTOMATION
65%
doc review
RISK
Earlier
before capital committed
Enterprise deal team: 10w to 2w. 65% doc review automated. 25+ stakeholders.
ENTERPRISE IT
  • AI Gateway Deployment
LLM deployments lack governance, cost control, and auditability across enterprise usage at scale.
A centralized control plane layered over existing models in 30-60 days. Token budgeting, semantic caching, PII redaction, and MCP-based tool integration – without changing infrastructure.
COST
70%+
LLM cost reduction
GOVERNANCE
Day 1
full audit trail
DISRUPTION
Zero
infra changes
Mid-sized enterprise: 60%+ cost reduction in 6 weeks. 12+ tools. Zero infra changes.
PUBLIC SECTOR
  • RFP Proposal Automation
RFP responses require heavy manual effort, SME dependency, and long turnaround cycles – limiting throughput.
An LLM + RAG system that extracts requirements, drafts responses, and validates compliance against past proposals and regulatory standards.
EFFORT
60-70%
less drafting
COMPLIANCE
95%+
coverage
THROUGHPUT
2-3x
RFP OUTPUT

Public sector org: 3w to under 10 days. ~60% drafts automated. No added headcount.

ADOPTION TIMELINE

From Pilot to Production in 30 Days

  • How it usually goes
  • ● Agent development is uncoordinated – different tools, different standards, no shared ownership
  • ● LLM costs accumulate invisibly – no one ties spend to specific agents until the invoice arrives
  • ● Tool connections are handbuilt – no version history, no access controls
  • ● Every new workflow is an engineering project – manual wiring, one use case at a time
  • ● Problems surface when end users report them – not from monitoring
  • ● Nobody can explain what an agent decided or why – compliance teams are blind
  • ● Security varies by deployment – what’s enforced in one environment doesn’t carry to the next
  • How it runs on NexGenAI
  • ● Central Agent Catalog gives every agent an owner, version, and lifecycle
  • ● LLM Gateway tracks token usage and cost in real time – per agent, workflow, team
  • ● MCP Builder manages every tool connection with version control and scoped permissions
  • ● Workflow Canvas handles orchestration – business teams automate without code
  • ● Monitoring runs continuously – anomalies surfaced before they become incidents
  • ● Every decision, invocation, and config change logged immutably – audit on demand
  • ● Zero-trust security and policy-as-code across every deployment and environment
Get a Demo

Pricing aligned to how you run agents.

  • Starter
Essential tools to start building and deploying agents
  • Up to 5 agents & 5 workflows
  • 5 MCP servers & 100 APIs
  • 5 GB RAG knowledge base (shared vector database)
  • Basic security, governance & analytics
  • SaaS deployment with 30-day audit logs
  • Email support (best-effort SLA
  • MOST POPULAR
  • Enterprise
Advanced scaling, security, and integration for growing teams.
  • Unlimited agents, workflows & MCP servers
  • Unlimited APIs with expanded CI/CD integrations
  • Full gateway suite (AI, LLM & prompt management)
  • 100 GB RAG knowledge base (dedicated vector database)
  • Advanced security, OWASP scanning & SSO
  • SaaS or private cloud with 1-year audit logs
  • Business support (8x5) with 99.90% SLA
  • Enterprise Plus
Maximum control, optimization, and air-gapped security for large organisations.
  • Unlimited + advanced AI agents & optimized workflows
  • MCP Marketplace access & enterprise API governance
  • Multi-LLM routing & enterprise prompt governance
  • Unlimited RAG knowledge base (enterprise cluster)
  • Fine-grained ABAC/RBAC & enterprise policy engine
  • SaaS, on-prem, or air-gapped with unlimited log retention
  • 24/7 premium support with 99.99% SLA
See Pricing