Enterprise AI Infrastructure

Operate intelligence
at infrastructure
scale.

A unified control layer for AI agents, MCP orchestration, automation, analytics, market intelligence, and cloud-native workflows — built for the enterprise.

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99.98% Uptime SLA
200+ Integrations
<50ms p99 latency
Control Plane Live
99.98%
runtime reliability — last 90 days
KX-01 Core Operational
KX-02 Agents Operational
KX-03 Nexus Operational
KX-04 Markets Operational
09:42:07 Agent batch deployed → prod-cluster-a
09:42:05 MCP route resolved in 12ms
09:42:01 Policy check passed for agent-0x4f2
09:41:58 Market sync complete — 847 signals

Trusted by enterprise teams

The platform

Four modules.
One control plane.

KAEVIX is modular by design. Deploy the components you need, scale each independently, and manage everything from a unified interface.

KX-01

Core

The runtime foundation. Unified policy engine, identity, access control, and system-wide observability for every workload in your AI stack.

RuntimePolicyIAMObservability
Explore Core
KX-02

Agents

Full lifecycle orchestration for AI agents — provisioning, scheduling, sandboxing, memory, tool use, and cross-agent coordination at enterprise scale.

OrchestrationLifecycleMemoryTool use
Explore Agents
KX-03

Nexus

Intelligent MCP routing and integration fabric. Connect any AI model, data source, API, or cloud service into a single coherent control plane.

MCPRoutingIntegrationsAPIs
Explore Nexus
KX-04

Markets

Quantitative market intelligence and automation. Real-time signal ingestion, agent-driven analytics, and automated execution pipelines.

QuantSignalsAnalyticsExecution
Explore Markets
Capabilities

Built for enterprise
from the ground up.

Every layer of KAEVIX is designed for the demands of regulated, high-throughput, mission-critical AI deployments.

Agent Orchestration

Provision, schedule, and coordinate fleets of AI agents with full lifecycle control, memory management, and cross-agent communication.

Real-time Observability

End-to-end tracing, metrics, and logs across every agent, model call, and integration — with millisecond-resolution event streams.

MCP Routing

Intelligent Model Context Protocol routing across any AI model or provider. Semantic load balancing, failover, and cost optimization built in.

Market Intelligence

Ingest, normalize, and analyze market signals at scale. Agent-driven quant workflows with automated execution and risk controls.

Enterprise Policy Engine

Declarative, auditable access control and compliance policies. SOC 2 Type II, ISO 27001, and GDPR-ready from day one.

Cloud-native Scale

Horizontally scalable across any cloud. Multi-region active-active, 99.98% uptime SLA, and automatic capacity management.

By the numbers

Infrastructure-grade
reliability.

KAEVIX is engineered for the performance and compliance requirements of the world's most demanding AI deployments.

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99.98%
Uptime SLA
Active-active multi-region
4.2B+
Agent ops / day
Across all production tenants
<50ms
p99 latency
Global median 8ms
200+
Native integrations
APIs, clouds & data sources
How it works

From integration
to production in days.

01

Connect

Integrate your AI agents, models, data sources, and cloud infrastructure in minutes via KAEVIX Nexus. Supports every major cloud, 200+ APIs, and custom connectors.

AWS · Azure · GCP · Snowflake · OpenAI · Anthropic · Databricks

02

Orchestrate

Define policies, routing rules, and automation workflows in the KAEVIX Control Plane. Drag-and-drop builder or infrastructure-as-code — your choice.

Policy engine · Agent workflows · MCP routing · Audit logs

03

Scale

KAEVIX handles reliability, observability, compliance, and capacity automatically. Ship to production with confidence from day one.

Auto-scaling · Multi-region · SOC 2 II · Real-time metrics

Now accepting enterprise pilots

Ready to operate
intelligence at scale?

Join the enterprises building the next generation of AI infrastructure on KAEVIX. Get early access, dedicated onboarding, and direct line to our engineering team.

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No credit card required. Pilot slots are limited.