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AgentNXT · Agentic Automation Platform

The agentic automation platform for regulated enterprises

Build, chain and publish AI agents that do real work — employee copilots, customer service agents and back-office automation — on sovereign inference models, deterministic nodes and enterprise-grade governance, deployed in your environment.

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AgentNXT in 90 secondsAgent chat · Supervisor agent · Workflow builder · Tracing · AI gateway · Why AiNXT

Different by design

Sovereign by default
Your cloud or on-premise. Data never leaves India.
Agents + deterministic nodes
LLM reasoning where it helps, rule-based steps where it must be exact.
Chain, publish, expose as API
Every published agent becomes an endpoint your apps can call.
Governed by your policy
RBAC, maker-checker, audit trails and guardrails on every run.
Built for BFSI
Designed around RBI and DPDP expectations from day one.
Forward deployed
AiNXT engineers embedded with your operations team.
Sovereign inference: data stays inside your VPC, zero bytes out to public AI APIs
Sovereign inference. Prompts, documents and outputs stay in your network.
Deterministic rule nodes with AI only where judgement is needed, replay shows same output
Deterministic where it must be. Same input, same output — every replay.

What your team actually sees

A visual builder where operations, risk and IT design agent workflows together — then publish them to staff, customers or your own applications.

My agentstap to see flow
Connectors
Core Banking (CBS) LOS / LMS CKYC · DigiLocker Email · SFTP
KYC Re-verification
Draft v3 · last edited by Risk Ops
1TRIGGER
Account flagged
2AI AGENT
Extract & match docs
3API
CKYC check
4RULE
Score ≥ 0.9?
5HUMAN
Maker-checker
POST /v1/agents/kyc-reverification/run Authorization: Bearer •••••••• { "customer_id": "C-102938", "trigger": "periodic_review" } → 200 { "status": "pending_checker", "match_score": 0.94, "audit_id": "a_7f3e…" }
Shown with AiNXT branding. In your deployment it carries yours, on your domain, behind your SSO.
Supervisor agent chaining five specialist agents to build a Power BI dashboard
Agent chat. A supervisor agent chains specialists to turn a BRD into a Power BI dashboard via MCP.
Visual workflow builder showing a Video KYC flow
Workflow builder. Drag a node, connect it, run it.
Tracing view with every agent step, token and cost
Tracing. Every run traced to the agent, the token and the cost.

Solve your biggest automation challenges, out of the box

Proven building blocks and BFSI workflows that show value in weeks, not quarters.

Employee Copilot
A private assistant for branch, ops and credit staff — grounded in your policies and SOPs, behind your SSO.
Customer Service Agents
Multilingual agents across chat, email and voice (with VoiceNXT) that resolve, not just route.
Back-Office Automation
KYC, demographic updates, invoice processing, reconciliations and audit-observation tracking — end to end.
Chained Agents
Compose specialist agents into one workflow, with hand-offs, retries and human checkpoints.
Agents as APIs
Publish any agent as a versioned, authenticated endpoint and embed it in your LOS, CRM or mobile app.
Sovereign Inference
Open models on your GPUs through LLMNXT, with routing and fallbacks across approved providers.
Periodic KYC refresh Loan document triage Collections follow-up Vendor invoice processing Automation PoC in four weeks

One control plane for agents, models and workflows

Builder at the front, orchestration at the core, sovereign inference underneath — all governed by your policies, inside your boundary.

Governance layer · RBAC · maker-checker · audit trails · PII masking · guardrails · cost controls
01 · EXPERIENCE
Visual agent builder
Copilot UI · chat · voice · API
02 · ORCHESTRATION
Agent runtime
Chaining · deterministic nodes · retries · human-in-the-loop
03 · INFERENCE
LLMNXT gateway
Sovereign models · routing · fallbacks · spend per team
04 · KNOWLEDGE
RAG & document AI
Policies, SOPs and records in context
Your systems, via connectors:Core BankingLOS / LMSCRMCKYCDigiLockerAccount AggregatorEmailSFTPInternal APIs
AI gateway model management with budgets per organisation, agent and user
AI gateway. Models, access, budgets, policies and guardrails for every model.
Governance dashboard with runs, success rate, spend, model usage and audit trail
Governance dashboard. Runs, spend, model usage, audit trail and access in one view.
Hybrid agentic architecture

Private, frontier and deterministic — governed by one control plane

AgentNXT routes every task to the right kind of intelligence — open-weight models on your own GPUs for sensitive work, frontier models only when policy allows, and deterministic steps where answers must be exact.

01 · DEPLOYMENTClient-owned data plane, flexible AI compute plane
CLIENT ENVIRONMENT
AiNXT Orchestrator
Agents · workflows · MCP · memory / state
Client data
DB · vector DB · RAG
Enterprise APIs
CRM · ERP · core systems
Private GPU
Open-weight models
Secrets + audit
Credentials · logs · policies
policy-gated⇄
Approved external GPU
Frontier or open-weight inference, only when policy permits.
DEPLOYMENT PRINCIPLE
Your data. Your orchestrator. Your database. You choose where inference runs.
02 · DATA FLOW & GOVERNANCEEvery model call runs through the AiNXT LLM Gateway
User / App
Identity · intent
AGENT / LLM GATEWAY
Identity & accessData classificationDPDP-aligned policiesUser preferencesUsage · quota · costModel routingDLP / guardrailsAudit
Orchestrator
Plan · retrieve · tools
Private
Open-weight models
Frontier
Complex research
POLICY ORDER
1Identity2Data class3Enterprise policy4User pref.5Cost / complexity6Model select7Inference8Response gov.
No direct application → LLM path.
Model-agnostic by design

Bring any model

Sovereign inferenceruns on your GPUs or AiNXT’s India-hosted GPUs — data never leaves your boundary
API · policy-gatedcalled through the AiNXT gateway only when your policy allows
LANGUAGE MODELSFrontier and open-weight models, one gatewayOpen-weight models run with sovereign inference inside India; frontier models are used only when policy permits.
Ai
AINXT-turbo
AiNXT’s tuned model for BFSI workflows
Sovereign inference
GPT
GPT
OpenAI frontier models
API · policy-gated
Claude
Anthropic frontier models
API · policy-gated
Grok
xAI frontier models
API · policy-gated
Gemini
Google frontier models
API · policy-gated
Gemma
Google open-weight models
Sovereign inference
Qwen
Alibaba open-weight models
Sovereign inference
Nemotron
NVIDIA open-weight models
Sovereign inference
Llama
Meta open-weight models
Sovereign inference
Mistral
Mistral open-weight models
Sovereign inference
DeepSeek
Open-weight reasoning models
Sovereign inference
S
Sarvam
Indic open-weight models
Sovereign inference
Product names and logos are trademarks of their respective owners and are shown to indicate supported integrations.

Global SaaS automation vs. AgentNXT

Global SaaS RPA / agent toolsAgentNXT by AiNXT
Where data livesVendor cloud, often offshoreYour environment, in India
LicensingPer bot / per seatCustom pricing
Model choiceWhat the vendor shipsSovereign open models plus approved providers
ReliabilityBrittle scripts or free-running LLMsAgents plus deterministic nodes
BFSI integrationsGeneric connectorsCBS, LOS, CKYC, DigiLocker, AA
Branding & roadmapVendor'sYours

What the costs actually entail

Transparent by design. You own the infrastructure and the spend.

Platform licence
Custom pricing
Annual, enterprise-wide
Inference
Your GPUs
Or pay-per-use via approved providers
Deployment
Fixed-fee
SSO, connectors, first workflows, go-live
Managed support
Optional
Monitoring, updates, SLA-backed

Delivered by forward deployed engineers

No black-box implementations. Our engineers sit with your operations and risk teams, map your processes, build the first agents side by side with your staff and stay accountable from prototype to production.

30+
BFSI clients
250M+
Identities verified
15M+
Verifications / month
50+
Engineers & specialists

Ready to put agents to work inside your institution?

Start with an automation assessment. You get a scoped deployment plan, a cost model and a four-week proof-of-concept path on your real processes. An engineer, not a sales rep, will respond.