Discover
Map your systems, your data, and the first decision worth improving.
Build the AI-native operating layer for your company.
Agents, memory, automations, and human approval working together, so your company moves faster without losing control.
Tools are not an operating system.
Most companies run AI in scattered pilots: a chatbot here, an automation there, none of it connected to real data, memory, or approval. Nothing compounds.
Spreadsheets
Email threads
Legacy ERP
One-off scripts
Static dashboards
Tribal knowledge
The Iango layer
One governed layer between your business and its AI.
Business data and knowledge feed a shared memory. Agents draft the work. An independent review challenges it. Nothing ships without a human approval gate.
01
Business data & knowledge
Your systems, documents, and operating knowledge, connected.
02
Nexora memory
Scoped, source-linked context that expires and re-verifies.
03
Agent bench
Role-bound agents research, draft, and prepare the work.
04
Independent review
A second model challenges the work before it moves on.
Human approval gate
05
Governed action
Automations and client delivery, with a full audit trail.
A practical path, not a transformation project.
Iango is built to prove value fast, then compound it. Every stage produces something you keep, whether or not you continue.
Design
Define the operating layer: which agents, which memory, which approvals.
Build
Connect real systems and ship a working pilot, not a demo.
Operate
Put it in front of your team, with monitoring and audit trails on.
Improve
Feed outcomes back in. Capability compounds instead of resetting each time.
What we build.
Seven capabilities, one operating discipline. Each one ships with an owner, evidence, and a rollback plan.
01
AI agents
Role-bound agents that research, draft, execute, and review, each with a defined authority boundary.
02
Knowledge systems
A durable, versioned knowledge base your agents and your team both draw from.
03
Memory layer
Working memory that gives agents continuity across sessions, scoped and re-verified.
04
Workflow automations
Automations for operational work that's repetitive but too important to skip.
05
Dashboards
Clear, evidence-backed views of what's happening and why.
06
Chat & LINE interfaces
The same governed answers, reachable wherever your team already works.
07
Review workflows
An independent AI Council pass on material decisions, before a human signs off.
How Iango runs itself
We run our own company on the same bench we build for clients.
No single model does everything. Work moves through named roles with defined authority, the same discipline we bring to client operating layers.
Anna
Coordinator
Sets priorities and operating cadence, surfaces decisions with evidence. No spending, legal, or execution authority of her own.
Scout
Research
Continuously scans tools, models, and signals; classifies findings as discard, monitor, experiment, or adopt, never treats a claim as fact.
Lucia
Architecture review
Evaluates how a candidate capability would actually fit: cost, interfaces, risk, and failure modes, before anything is proposed.
Marco
Platform execution
Turns approved decisions into safe, reversible technical work, with rollback plans and reliability checks.
Quality
Independent challenge
Reviews material outputs for evidence gaps and failure modes before anything is marked done.
Nexora memory
Scoped, expiring working memory. Every agent's context is source-linked and re-verified, never left to drift.
AI Council review
A second, independent model challenges material decisions before they reach a human for approval.
Skill library
Reusable workflows are only promoted after review, test evidence, and a rollback plan.
Safety & governance
Human control stays built in, not bolted on.
Nothing high-risk moves without a person in the loop. Every material recommendation is reviewed, sourced, and recorded before it becomes real.
Monitor Research finding, source linked
Changes requested Architecture proposal, independent review
Approved Platform change, rollback plan attached
Escalated Client-facing message, human approval required
Human approval
Spending, external commitments, credentials, and client-facing actions always require a person to say yes.
Source-backed evidence
Findings are labeled with their source and their uncertainty, never presented as settled fact.
Auditability
Every material review and decision leaves a record: who reviewed it, and what they decided.
Privacy boundaries
Client data, company knowledge, and personal data are kept in separate systems that never cross-contaminate.
Find the first decision your AI operating layer should own.
Tell us where work is getting stuck. We'll review your systems and come back with a scoped first pilot.
01
First assessment
We map your systems and find the highest-value first use case.
02
First pilot
A working pilot with real data and a human approval step, not a demo.
03
Operating rollout
Once it earns trust, we expand scope and hand over an operating layer you control.
Start an operating assessment.
No obligation. We'll reply with a clear next step, not a sales deck.