[ Agent Operating System ]

The Agent Operating System for the entire Customer Lifecycle

Mira identifies opportunities, builds understanding, and drives engagement across every stage of the customer lifecycle, from acquisition and engagement to retention, growth, and monetization.

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Mira, an infinite loop rendered in glass

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[ Trusted partners ]

FinPoints, Alibaba Group, Morph, Ctrl, Prestige Partners Trading, Surplus, Behave, Pika, MIT

[ What Mira does ]

Relationships create revenue. Scale breaks them

Most organizations grow faster than their ability to maintain meaningful customer engagement at scale.

Discover

Identify opportunities and bring qualified audiences into owned channels.

Understand

Build a persistent understanding of every customer, interaction, preference, and outcome.

Engage

Drive proactive engagement, recommend next actions, automate follow-up, and move relationships forward.

Govern

Ensure every action aligns with company policy, brand standards, and compliance requirements.

[ In the field ]

Agents operating across sales, service, and operations, inside the stack you already run

41 Active runs
12 Integrations
100% Audited

[ How Mira works ]

One Operating System. Five Systems

Every Mira deployment is powered by five interconnected systems.

01 Mira Architect

Configure Mira through conversation. Define objectives, audiences, products, policies, and brand requirements in plain language.

03 Mira Core

Maintain organizational and relationship context in a persistent memory layer, every conversation builds on the last.

05 Mira Trust

Apply governance to every action, at runtime, before anything reaches a customer.

02 Mira Reach

Identify and engage potential relationships. Discover audiences, qualify opportunities, and bring them into your ecosystem.

04 Mira Autopilot

Execute across the relationship lifecycle: engagement, follow-up, recommendation, retention, and growth workflows.

[ Trust & governance ]

Autonomy you can put your name on

Governance isn't a policy document, it's the layer every output passes through at runtime.

01Autonomy requires accountability

An agent that acts on its own is only deployable if you can trust every action it takes. In Mira, governance isn't a policy document, it's the layer every output passes through at runtime. That's what lets you turn autonomy on.

02Every output is verified before it ships

Each response is checked against brand, tone, source grounding, and regional rules before it leaves the system.

03You decide where Mira acts and where it asks

Set the threshold per workflow. Anything above it escalates to a human instead of executing.

04Grounded, never invented

Every claim traces back to a source in your own systems. No source, no send.

05A provable, exportable audit trail

Every action, check, and escalation is recorded and exportable, covering 100% of actions.

06Your data stays yours

Your data is never used to train shared models, and stays within the boundaries you set.

[ Customer proof ]

"We stopped measuring how many accounts a person can cover. Mira holds the relationship; our team makes the calls that matter."

Marcus Holt
VP Customer Operations · Nordbank

[ Comparison ]

What makes Mira different

Traditional relationship management

↘Store customer data
↘Require human coordination
↘Fragment context across tools
↘Depend on manual follow-up
↘Create operational overhead

Mira

↗Maintains living relationships
↗Executes autonomously
↗Unifies context continuously
↗Engages proactively
↗Scales without proportional headcount

Business outcomes

[ Measured in production ]

3.5×

More customer engagement capacity

Manage thousands of relationships simultaneously without added headcount.

+23%

More revenue per customer

Proactive next-best-action across the full lifecycle.

<15s

Average response time

Every inbound signal answered in context, day or night.

62%

Lower cost to serve

Fewer manual handoffs, less tooling, less rework.

[ FAQ ]

Questions,
answered

Don't find the answer here? We'll get you to someone who has it.

How does the free trial work?

A scoped pilot on one lifecycle stage, with your data and your policies, so you can measure Mira against your own baseline before committing.

How do you find different criteria in your process?

Mira Architect is configured in plain language. You describe objectives, audiences, products and policies, and it maps them to the workflows it runs.

What does deployment actually require from my team?

Read access to the systems you want Mira to work across, and a decision on where it acts versus where it asks. No replatforming.

Do you recommend pay-as-you-go or pre-pay?

Pay-as-you-go while you are still shaping scope. Pre-pay once volume is predictable, since it prices lower per action.