Campaign orchestration, unified customer data and personalization that adapts in the moment, on one platform, with an AI agent at every stage of the work. Run it on your own infrastructure, in your private cloud, or as a managed service our team operates for you.
In the USD 330 billion APAC internet economy, 70% of customers abandon interactions because the timing was wrong, and fragmented data makes acting in the moment impossible. Traditional tools batch their processing overnight, so the moments that matter, an abandoned cart, a churn signal, a roaming spike, are already gone by the time anyone sees them.
How data works: Data lives in separate system with little or no connection.
Sources: TELIN forecast for APAC internet economy value; McKinsey on abandonment driven by irrelevant timing.
Nobody buys an agent. They buy a value chain that works: find the opportunity, design the campaign, build the offer, run the journey, learn from the result. Here is an agent at every one of those stages, mapped to how a marketing team actually works.
4 Agents
3 Agents
3 Agents
5 Agents
5 Agents
Find what is moving, and the pockets nobody has looked in.
Ask in plain language and get a data-backed answer over the live profile store, not a dashboard you have to read.
Tracks revenue, churn, ARPU and usage elasticity, then decomposes a shift into its root drivers.
Continuously scans subscriber behaviour for growth pockets, underserved groups and early churn signals.
Writes the narrative report a leadership team actually reads, scoped to the KPIs they own.
Turn an opportunity into a campaign worth running.
Proposes campaign concepts, mechanics, and hooks from what has actually performed in your own history.
Only proposes what fits the budget cap, the margin floor, and the operational limits you have set.
Dry-runs a campaign against synthetic personas before a single real subscriber is touched, so the testing cycle stops eating the calendar.
Build the audience and the offer that fits it.
Give it the goal, not the query. It builds the segment from intent and shows you what it selected and why.
Reads usage, market movement, and competitor activity to propose product concepts, pricing, and bundle scenarios.
Models the business case before the offer ships, so nothing goes live with a negative contribution margin.
Run the journey, and adapt it in the moment.
Generates and edits campaign creative in session, multi-model, with the brand rules applied.
Writes personalized message and email variants across SMS, WhatsApp, push, email, and in-app.
Picks the channel and the hour from engagement history rather than from a rule somebody wrote in 2019.
The live engine adjusts the decision on the trigger in front of it: location, balance, handset, moment of interaction.
Carries the next best offer into an outbound conversation, on the same engine and the same policy.
The part the others do not show you.
Every action, from any agent, passes frequency, quiet hours and eligibility before it reaches a customer. It says no, and the no is logged.
A record is written whether the action fired or was suppressed. Both branches, always.
Flags a policy conflict before launch in plain language: this subscriber could be contacted five times this week against your cap of three.
Tells an approver what changed between versions and what it breaches, so maker-checker is a decision and not a reading exercise.
Looks across every live program for overlapping segments, competing offers, and combined fatigue breaches.
In the vendor’s cloud tenancy, reached over the public internet.
Your infrastructure, your private cloud, or our managed service. You choose, and the choice does not change the product. On-premise is in production across every current client today.
Profiles are replicated to the vendor platform for the agent to reason over.
It stays where you put it. On an on-premise deployment there is no egress at all, which is what makes this survivable under PDPL, GDPR and Gulf sovereignty rules.
A synchronized copy of the profile, as fresh as the last sync.
You will not run one vendor’s agents forever, and we are not going to pretend otherwise. Any agent, ours or a third party’s, conversational, voice, or autonomous, reaches the decisioning engine through a single governed interface. Your brain stays the source of truth even when somebody else’s agent is doing the talking.
Read the profile, resolve identity, query the segment. One contract, whichever agent is asking.
Request a decision, trigger a journey, send through a channel, all on the live engine.
Contact policy is not optional on this interface. Every external agent passes the same gate your own agents pass, which is the point of putting it here rather than in the application.
The question every operator asks before the pitch is what stops this thing from doing something stupid at scale. This is the answer, drawn honestly: every agent action passes an approval and contact-policy gate, both branches shown, with an audit record written either way. We draw the decline branch because a governance company that only draws the happy path refutes itself.
You set the scope, the eligible offers, and the guardrails. Agents choose within them and nowhere else.
A human approval step sits between the agent and the customer at every stage you choose to gate.
Inside your infrastructure, on operator-controlled data, with no egress.
Every decision, approval, and refusal is written to an audit trail, including the ones that never fired.
Creative Studio, Insight Studio and content generation, in production today.
Seven questions worth asking any vendor in this category, and the honest answer for each.
Sub-100ms decision latency in supported deployments
Struggles at operator volumes without custom work
API connectors, often with lock-in or middleware in between
Certified by the CDP Institute.
Tier-one operator, Southeast Asia. Placeholder quote, pending client approval.
Delivery, cloud, and fintech partners who implement and enhance the platform across various markets.
On-premise deployment runs entirely on your infrastructure with no data egress, and it is the default in production across all current clients. Private cloud and fully managed are the other two ways to run it. The agents go wherever the platform goes, which is the part worth reading twice.
White-glove managed campaign operations; our team runs your campaigns end to end. Managed campaign delivery, not managed infrastructure.
On-premise deployment runs entirely on your infrastructure with no data egress, and it is the default in production across all current clients. Private cloud and fully managed are the other two ways to run it. The agents go wherever the platform goes, which is the part worth reading twice.
The same agents, the same gate, the same sovereignty argument. Telecom is where it was proven; the constraints travel.
Where the engine was proven: 15B+ events per day, roaming, top-ups and churn signals in the moment.
Real-time decisioning on transaction streams, inside the bank's own infrastructure.
Any business where the data cannot leave and every decision has to be explainable after the fact.
