Densery is the agent experience platform — onboard agents like employeesSee the platform →
Densery
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Agent experience
for the enterprise.

The platform that lets AI agents finish real work inside your bank, insurer, telco or plant. They read your business as a map, use only the tools you allow, run on your hardware, and leave an audit trail for every action. Nine live deployments in Vietnam, Indonesia and Japan.

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Agents are ready. Most companies aren't ready for agents.

The model can do the job. What it lands in is a company with no map of its own business, a hundred tools in no order, and nobody able to sign off on what it did.

17%
of enterprises have deployed agents. 42% plan to within a year.
~30%
of agent projects reach production. Success tracks integration effort, not model quality.
70%
tool-call accuracy when an agent is handed a flat list of tools — the way most platforms hand them over.

We bring together the map, the guide, the runtime and the proof — so an agent joins your company the way a good hire does: briefed, equipped, supervised, and accountable.

Solving the work that moves the business.

Agents at work inside real operations — telecom, banking, insurance, manufacturing. Six of the nine live deployments, and every one takes reference calls.

How it works

One environment. Four layers. Any agent.

From the systems you already run to work an agent has finished — with the map, the guide, the sandbox and the receipt in between.

Any source
  • Core banking
  • Claims system
  • ERP · PLM · QMS
  • CRM · ticketing
  • Data warehouse
  • Documents & scans
  • Site imagery
  • Email · chat · calls
  • Spreadsheets
  • Any API
01

Ontology

Your business, as agents see it

02

Semantic layer

The company guide book, written for agents

03

Runtime

Workflows, sandbox, proxy

04

Governance

Evals, approvals, evidence

Work finished
  • Record written
  • Page published
  • Decision evidenced
  • Proposal for review
  • Plan in the transport system
  • Reply sent
  • Report on schedule
  • Evidence pack
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The environment moves the numbers. Not the model.

Same models, same tools. Give the agent the map, the guide and the gates, and this is what changes.

70 → 98%
Tool-call accuracy when the same tools are served as a described, guided menu instead of a flat list.
80 → ~100%
Extraction accuracy on 100-page regulatory files when output is written as facts into the system of record, not PDFs.
<3wks
From signature to the first agent at work — because the environment is already built.

How we measure. Tool-call accuracy: the same agent on the same tool set in Densery's internal evaluations, flat list against described menu, 2026. Extraction accuracy: measured in production on a customer's own compliance files and checked by the customer's team. Three weeks: the time to first live process we commit to in the contract.

Deep in the industries where work has to be right.

Same environment everywhere. A different ontology in each — built, and already running in production.

Telecom
Towers, leases and permits — one certified, billable record per site.
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Banking
KYC, AML and loan files, completed and examiner-ready.
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Insurance
Claims and medical records, first notice to payout, decision evidenced.
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Manufacturing
Drawings, certificates and quality records, traceable by design.
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Onboard your first agent in three weeks.

One process first, live in under three weeks, with the evidence from day one.

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