AiNxt TechLLMNXT
Home Talk to an engineer
AiNXT · LLMNXT sovereign AI gateway

One governed gateway for every model, tool and agent call

LLMNXT sits between your apps and every model they use. It routes, secures, observes, governs and meters LLM traffic, MCP tool calls and agent-to-agent calls in one data plane, hosted in India and run inside your boundary.

Talk to an engineer See how it works
API
OpenAI-compatible
One endpoint for every model
MODELS
Frontier + open-weight
Swap models without code changes
PROTOCOLS
LLM · MCP · A2A
Models, tools and agents, governed
HOSTING
Hosted in India
Sovereign inference on your GPUs
What LLMNXT does

Three gateways. One binary. One policy model.

Most teams bolt on a proxy for models, another for tools and nothing for agents. LLMNXT handles all three in one data plane, with one set of keys, policies, logs and budgets.

LLM gateway
An OpenAI-compatible API in front of frontier and open-weight models, with credentials held centrally, failover between providers, token budgets, semantic caching and prompt redaction.
OpenAI APIFailoverCachingRedaction
MCP & A2A gateway
Treat MCP servers like microservices: discovery, versioning and signed, scoped tool calls. Route agent-to-agent calls between frameworks with identity and tracing on every hop.
MCPA2ATool scopesAudit trail
Inference routing
Latency-, cost- and model-aware routing for your self-hosted models. LLMNXT picks the warmest replica on your private GPUs and spills to approved capacity only when policy allows.
vLLMTGITritonPrivate GPU
How it works

Every request takes the same governed path

Apps, agents and developer tools call one endpoint. LLMNXT checks who is calling, applies policy, picks the model or tool, records the cost and returns the answer, with every hop traced.

SOURCES
Apps & copilotsWeb, mobile, branch tools
AI agentsAgentNXT, LangGraph, CrewAI
Voice agentsVoiceNXT calls
Developer toolsIDEs, CLIs, notebooks
DATA PLANE
LLMNXT
Route→Secure→Observe→Govern→Cost
Identity & virtual keysPII redaction & guardsModel & tool routingBudgets & rate limitsTraces, logs, metricsTamper-evident audit
CONTROL PLANEPolicies · keys · catalog · dashboards
DESTINATIONS
Open-weight modelsYour private GPUs in India
Frontier modelsOnly when policy permits
MCP toolsCore banking, CRM, LOS
Agents (A2A)Specialist agents, any framework
Everything in one gateway

Route, secure, observe, govern, cost

Five layers every request passes through, configured once and enforced everywhere.

01 · ROUTE
Send each request to the right place.
LLM gatewayOne OpenAI-compatible API for every provider, with central credentials and failover.
Inference routingLatency-, cost- and model-aware routing across self-hosted replicas.
MCP gatewayDiscovery, versioning and signed, scoped tool calls.
A2A gatewayAgent-to-agent routing with identity and tracing on every hop.
Service gatewayHTTP, gRPC and TCP with TLS 1.3 and mTLS built in.
02 · SECURE
Know exactly who called what.
JWT, OIDC & SSOValidate tokens at the edge and route on claims.
Virtual & API keysPer-team and per-app keys, issued and rotated centrally.
Request authorizationRBAC rules over method, path, headers and claims.
MCP authScope which tools each identity can invoke.
TLS & mTLSTerminate and originate verified TLS, with automatic rotation.
Rate limitingPer-key limits that stop runaway agent loops.
03 · OBSERVE
See every token, call and rupee.
OpenTelemetry by defaultTraces for every hop, from app to model to tool.
Token metricsUsage histograms by model, team and app.
Request logsStatus, latency, tokens and realized cost per call.
Live tracingInspect a running gateway without a restart.
04 · GOVERN
Policy before every prompt.
Prompt guardsPattern- and model-based checks with PII redaction.
MCP guardrailsBlock prompt injection and unsafe tool payloads in flight.
Tool policiesControl which tools each caller can reach.
Policy attachmentBind at gateway, route or backend; rules merge into one decision.
05 · COST
Hard limits, not after-the-fact alerts.
Budgets & spend limitsCaps per key or team, in tokens and rupees.
Virtual keysEvery request has an owner for budgeting.
Model cost catalogPer-model input and output pricing.
Cost dashboardSpend by model, provider, team and user.
Cost control

Attribute, price, enforce

Every call gets an owner, a price and a limit. LLMNXT cuts usage off at the cap instead of sending an alert after the money is spent.

1
Attribute
Virtual keys tie every request to a team, app or user.
2
Price
The model cost catalog turns tokens into a realized rupee cost on every log, metric and trace.
3
Enforce
Budgets and spend limits block calls once a key or team reaches its cap.
Team budgets · this month
ILLUSTRATIVE
Collections voice agents72% of budget
KYC document copilot48% of budget
Branch ops assistant91% of budget
Developer sandbox23% of budget
Branch ops assistant is near its cap. New calls will be blocked at 100% unless an admin raises the limit.
Sovereign by design

Your data stays in India. Your models stay yours.

Hosted in India
Gateway, logs and inference run in Indian data centres or on your own premises.
Open-weight on your GPUs
AINXT Turbo, Qwen, Gemma, Llama and more, served privately.
Frontier only by policy
Calls to external models happen only when data class and policy allow it.
DPDP-aligned audit
Every prompt, tool call and decision recorded and tamper-evident.
Models and integrations

Bring the models and tools you already use

MODELS
AINXT TurboGPTClaudeGeminiGrokLlamaQwenGemmaMistralDeepSeekNemotronSarvam
INFERENCE SERVERS
vLLMTGITritonOllamaNVIDIA NIM
AGENT FRAMEWORKS & PROTOCOLS
MCPA2ALangChainLangGraphCrewAIGoogle ADKAgentNXT
OBSERVABILITY & INFRA
OpenTelemetryPrometheusGrafanaLangfuseDatadogKubernetesHashiCorp Vault
Product names are trademarks of their respective owners and are shown to indicate supported integrations.
Under every AiNXT product

The inference layer your other AI already runs on

Identity, voice and agents all call models through LLMNXT, so one set of policies, keys and budgets covers the whole platform.

KNOWIdentity & KYC APIsGenAI document extraction runs on governed models.Explore →ENGAGEVoiceNXTEvery call’s reasoning and tool use passes policy first.Explore →AUTOMATEAgentNXTAgents, tools and A2A hops traced end to end.Explore →
Deploy your way
On-premisesInside your data centre, next to your core systems.
Private cloud in IndiaDedicated tenancy with Indian data residency.
Kubernetes or DockerStandard manifests; runs alongside your stack.
Managed by AiNXTOur engineers run and tune it under SLA.
Why a gateway

Direct model calls vs. LLMNXT

Direct API callsWith LLMNXT
CredentialsAPI keys scattered across appsHeld centrally, virtual keys per team
Model choiceHard-coded per appRouted by policy, cost and latency
Data protectionDepends on each developerPII redaction and guards on every call
Tools & agentsUnmanaged MCP and agent callsScoped tools, traced A2A hops
SpendSeen on next month’s invoiceHard budgets, realized cost per call
AuditPartial app logsOne tamper-evident trail

Put every model call behind one gateway

Tell us which models, teams and apps you run today. We’ll map routing, policies and budgets, and stand LLMNXT up in your environment.

sales@ainxttech.com ainxt.support@ainxttech.com +91 96196 44244 B-702, Lodha Supremus-II, MIDC, Thane West, Mumbai 400604