01
Discover
Identify opportunities and bring qualified audiences into owned channels.
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.
[ What Mira does ]
Relationships create revenue. Scale breaks them
Most organizations grow faster than their ability to maintain meaningful customer engagement at scale. As customer bases expand, conversations fragment across teams, systems and channels. Opportunities are missed. Context is lost. Follow up becomes inconsistent.
Mira changes that. It operates the customer lifecycle as a continuous system rather than a series of disconnected workflows and tools.
02
Understand
Build a persistent understanding of every customer, interaction, preference and outcome.
03
Engage
Drive proactive engagement, recommend next actions, automate follow up and move customer relationships forward.
04
Govern
Ensure every action aligns with company policy, brand standards and compliance requirements.
[ How Mira works ]
One operating system. Five systems
Every Mira deployment is powered by five interconnected systems, configured in plain language and governed at runtime.
01
Mira Agent Builder
Configure Mira through conversation. Define objectives, audiences, products, policies and brand requirements directly in plain language.
02
Mira Reach
Identify and engage potential relationships. Discover audiences, qualify opportunities, and bring them into your ecosystem.
03
Mira Core
Maintain organizational and relationship context. Connect customer history, business knowledge and engagement data into a persistent memory layer, so every conversation builds on the last.
04
Mira Growth
Execute across the relationship lifecycle. Manage engagement, follow up, recommendations, retention and growth workflows.
05
Mira Trust
Apply governance to every action. Ensure execution remains aligned with policies, approvals and compliance requirements.
[ Trust and governance ]
Autonomy requires accountability
An agent that acts on its own is only deployable if you can trust every action it takes. In Mira, governance is not a policy document, it is the layer every output passes through at runtime. That is what lets you turn autonomy on.
01
Every output is verified before it ships
Every outbound message passes through Mira Trust before delivery, checked against your voice and the compliance rules for that audience and jurisdiction. Nothing reaches a customer unverified, and the edge cases route to a human.
02
You decide where Mira acts and where it asks
AutoPilot runs engagement autonomously. For sensitive workflows you require human review at any step. You draw the line between Mira acts and Mira asks, and you can move it as trust builds.
03
Grounded, never invented
Every fact Mira states, a price, a spec, a release date, a performance figure, traces back to your live source data. If it is not in your system, Mira does not say it.
04
A provable, exportable audit trail
Every action is logged with the data version, disclosure version, persona configuration and the operator behind it, exportable to your compliance system. What did the agent say, to whom, and why always has an answer.
05
Your data stays yours
Mira reads, writes and learns inside your environment. Your customer data never becomes training data for other agents.
[ The shift ]
A system of record remembers what happened. An operating system does the work
Mira
Agent Operating System for Customer Lifecycle
Agent Operating System for Customer Lifecycle
[ What makes Mira different ]
A system of record remembers. An operating system acts
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 ]
What the difference means for your business
3.5×
More customer engagement capacity
Mira enables teams to engage and manage thousands of customer relationships simultaneously, so organizations scale engagement without scaling headcount.
+23%
More revenue per customer
Mira identifies opportunities to recommend, upgrade and re-engage customers at the right moment, converting engagement into measurable revenue growth.
<15s
Average response time, 24/7
No customer waits and no engagement opportunity is missed. Persistent memory means every interaction builds on the last instead of starting over.
62%
Lower cost to serve
Every action follows your rules and passes verification before it goes out. Autonomous never means unsupervised.
[ Industries ]
Where Mira operates today
Entertainment
Turn audiences into lifelong customers. Creators, talent organizations and entertainment brands use Mira to drive personalized engagement at scale.
Learn more →Finance
Scale investor communication without sacrificing compliance, with complete auditability, governance and oversight across every interaction.
Learn more →E-commerce
A personal shopper for every customer, creating more relevant experiences, strengthening loyalty and increasing customer lifetime value.
Learn more →
[ Why now ]
The next generation of growth will be powered by systems that actively operate the customer lifecycle
1990s / SYSTEMS OF RECORD
2010s / SYSTEMS OF ENGAGEMENT
NOW / SYSTEMS OF EXECUTION
2010s / SYSTEMS OF ENGAGEMENT
NOW / SYSTEMS OF EXECUTION
Who is Mira designed for?
Mira is built for businesses where revenue depends on ongoing customer relationships, and where there are far more of those relationships than any team could hold by hand. That includes entertainment companies and creators, investor facing financial firms, e-commerce brands, and any organization managing thousands of relationships across a complex lifecycle.
What systems does Mira integrate with, and what data does it use?
Mira connects to the systems your go to market already runs on, including CRM, customer records, product catalogs, content and operational data, through APIs and file uploads, alongside conversation channels like email and Telegram. It works from the data you already have, so it operates with full business context from day one and keeps learning from every interaction.
How long does deployment take?
Because Mira learns from your existing business data instead of starting from scratch, it operates with context from day one. Most deployments go live in days to a few weeks, depending on how many systems you connect and how much review you want before agents act. Value in days, not quarters.
How is Mira set up, and who runs it?
Your team runs Mira, with no engineers required. You configure it through conversation instead of rule engines or workflow builders: describe your objectives, audiences, policies and brand requirements in plain language, and Mira turns them into a working agent. Everything stays subject to your review and approval before it goes live.
What happens when Mira is not sure how to handle something?
Mira knows its limits. When a conversation hits an edge case, an unusual request, a sensitive topic, anything outside your rules, Trust routes it to a human instead of guessing. You decide upfront which situations always require a person, and where Mira can act on its own.
Run your customer lifecycle through Mira
See how organizations use Mira to orchestrate engagement, automate execution and drive growth across the entire customer lifecycle.