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Platform

Addo Core.

The architecture under every agent we deploy: a working model of your business, agents built for your systems, controls your risk team can inspect, and learning from every outcome. Our engineers build it into each deployment, in your cloud or on premises.

Your people and customers
  • Email
  • Chat
  • Voice
  • WhatsApp
  • Portals
  • Teams

Addo Control

Permissions, approvals, an audit trail, the choice of model and a spending limit for each agent.

Addo Agents

Agents that read, decide and act in your systems.

  • Document readers
  • Planners
  • Tool callers
  • Voice and chat
  • Reviewers

Addo Context

A working model of your business that every agent shares.

  • Business ontology
  • Documents
  • Rules and policies
  • Permissions
  • Semantic layer
  • Memory
Your systems
  • ERP
  • CRM
  • Service desk
  • HR
  • Core banking
  • Data warehouse
  • Data lake
  • Legacy screens
Addo Core: requests arrive from people and customers, agents act on a shared model of the business and on your systems, Addo Learn improves them from outcomes, and Addo Control governs every step.

Addo Context

A working model of how your business runs.

We map what your business deals in (customers, contracts, products, suppliers, cases) to the rules that govern them and the systems where they live, so agents reason over your business instead of raw tables.

  • Entities, relationships and business rules in one model
  • Connections to the systems you already run: ERP, CRM, ticketing, warehouses and file stores
  • Documents read into knowledge: PDFs, scans, email and chat
  • Permissions taken from your source systems
  • Every change to a rule recorded, so it can be reviewed and reversed

Addo Agents

Agents that read, decide and act.

We build each agent from the same kinds of parts: readers for documents and screens, planners, tool callers and reviewers. They act through your systems' APIs, or through the same screens your teams use when there is no API.

  • Agents for finance, service, supply chain, risk and IT, each grown out of delivered work
  • Workflows that hand cases between agents and people
  • Voice, chat and email in your customers' languages

See the agents we build

Addo Learn

Every outcome makes the next one better.

We turn corrections and outcomes into test sets for your business and use them to improve each agent where it was weakest. Your data improves your agents only.

  • Test sets built from your own cases
  • Prompt, retrieval and tool-use tuning on your cases
  • Fine-tuning where it pays for itself
  • No change goes live before it passes the tests

Addo Control

Controls your risk team can inspect.

Risk, compliance and operations teams can see what each agent did, why, and under which rule. We set approval rules before an agent acts and record every decision for audit.

  • Autonomy levels and approval rules by action, value and risk
  • A record of the inputs, steps and actions behind each decision
  • Personal data masked wherever it does not need to be seen
  • The model and the spending limit chosen for each workflow
  • Access through your single sign-on and roles

Data and context

Your data, made agent-ready.

Most enterprise AI stalls on data that is siloed, ungoverned and impossible to trace. Addo AI started in data engineering. We build the context layer on the systems you already run, so every agent works from one governed picture of the business.

Three engineers sketching a data architecture on paper at a long desk

One semantic layer, no big migration

We connect to ERP, CRM, ticketing, warehouses and lakes where they are, and map the entities, relationships and rules across them.

Agents get the same permissions as people

Each agent has explicit, auditable rights over what it can read, write and reason from, inherited from your source systems.

Every answer shows its sources

Each answer links back to the documents and records behind it, so an auditor can retrace it step by step.

Data foundations we have built

Any model, routed per task.

We build agents against your business context and controls rather than one vendor, so the model behind a task can be changed when a better one arrives.

Frontier modelsOpenAI, Anthropic, Google and others through their enterprise APIs, only for the workflows and data you approve. Your data is never used for training.
Open-weight modelsLlama, Mistral, Qwen and similar models inside your cloud or on premises, for data that cannot leave.
Your own modelsModels fine-tuned on your cases, or models your team already maintains.
Choice and spendWe choose an approved model for each task by the accuracy, speed and cost it needs, record which model ran and set a spending limit.

Runs where your data has to stay.

Many of our clients work under data residency rules across Asia, Europe and the Middle East, and under HIPAA in US healthcare. We deploy close to the data, and Addo AI is ISO/IEC 27001 certified.

Managed by Addo AI

The fastest start. We host, update and monitor the agents and everything they run on, with your data kept separate from every other client.

Dedicated

Single-tenant infrastructure reserved for you, in the region you choose, run by our operations team.

Your cloud

Everything runs inside your own AWS, Azure or Google Cloud account. Data stays in your perimeter and you control upgrades.

On premises

The full stack on your hardware with open-weight models, maintained by our engineers.

Client data is never used to train models for anyone else. Access runs through your single sign-on with role-based permissions inherited from source systems, and every agent action is logged with its inputs and the rule it ran under. Trust and security in detail

Bring us one workflow.

An engineer will look at how it runs today and show you how we would build an agent for it, on the systems you already run.