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dhari .ai
Agentic AI · Singapore

Agentic AI that carries your business forward.

Dhari AI builds production-grade reasoning agents for banking, financial services, and enterprise operations. Designed in Singapore. Built to MAS FEAT principles. Deployed in days, not quarters.

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40%

Ops cost reduction

10×

Faster reporting

25+ yrs

Banking AI experience

dhari.agent.active
Trade data FIX · Kafka Reg. updates MAS · BIS CRM Salesforce dhari reasoning Validate tool_call() Reason claude.api Audit log write() Audit-ready output human_review · sign_off
● live
latency < 800ms

Built on the standards regulated enterprises require

MAS FEAT-aligned
PDPA compliant
AI Verify-ready
SOC 2 in progress

Solutions

Built for where the work actually happens.

Three problem spaces where agentic AI changes the unit economics — not by replacing humans, but by removing the manual friction that consumes their day.

For regulated institutions

Banking & Financial Services

Agentic AI for KYC, AML, trade surveillance, and regulatory reporting. Built to MAS FEAT principles.

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For enterprise ops

Operations Efficiency

Automate reconciliation, exception handling, and back-office workflows with reasoning agents.

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For risk officers

Risk & Compliance

Continuous control monitoring, evidence collection, and audit-ready intelligence at machine speed.

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Platform

The full stack,
deliberately
assembled.

Most agentic AI platforms ship the orchestration layer and leave the hard parts — observability, audit, model routing, enterprise integration — to you.

Dhari ships the whole stack, opinionated and battle-tested, with the enterprise plumbing already done.

See it in your stack Read the technical brief →
L5

Reasoning Layer

Foundation models — Claude, GPT, open-weight Llama. Routed by task complexity and data residency.

→ model · claude-opus-4.7
L4

Orchestration

Multi-agent coordination, tool routing, guardrails, retries. Built on LangGraph and our own runtime.

→ graph · agent_router
L3

Tool Layer

Connectors to your systems — Murex, Calypso, SAP, Salesforce, Bloomberg, S3, Snowflake.

→ tools · 40+ integrations
L2

Memory & Retrieval

Vector + structured retrieval over your private data. PDPA-resident, encrypted at rest.

→ vector · pgvector
L1

Observability

Every decision logged. Every prompt versioned. Audit trail aligned to MAS FEAT and EU AI Act.

→ trace · langfuse

Live demo

Don't take our
word for it.
Ask the agent.

Below is a working Dhari agent. Describe a workflow — a regulatory check, a reconciliation, a customer journey — and watch it propose an automation blueprint in seconds.

Live AI · no canned responses · no sales script
System-primed for banking, ops, and regulatory use cases
This is the same model architecture we deploy for clients
dhari.agent · live demo
llama 3.3 · on cloudflare

Try asking Dhari to design an AI workflow:

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Ready to put an agent on the work?

Book a 30-minute discovery call. We will scope a pilot, identify the right model and tools, and tell you honestly whether AI is the right answer.

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