Know every customer.
Optimize every outcome.
OpenKnowra builds a continuously evolving Customer Twin by combining enterprise data, operational signals, and domain intelligence. Its context-native grid empowers AI agents to reason, decide, and execute autonomously across acquisition, engagement, retention, and revenue optimization.
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- No credit card for corporate accounts
- No NDA
- No company data required
Experience the platform with sample data today. Connect your enterprise when you’re ready.
Pick a customer motion. Watch it run.
Six systems. Six versions of the customer.
Every team sees part of the customer. No system understands the whole customer. Decisions wait on someone to stitch the story by hand, and the cost shows up as late churn signals, missed expansion and generic offers.
A living customer twin, and the operating system that acts on it.
The CVM Grid combines two capabilities on one context spine. The first resolves enterprise signals into a living customer twin. The second uses governed assemblies, digital workers and AI agents to create, grow, retain, recover and protect customer value.
It understands every customer
CRM, billing, service, usage, operational, marketing and risk data resolved into one living customer twin, with provenance on every signal and your own rules built in. Not a copy in a lake, a live model connected to the systems you already run.
And it acts on the moment
CVM assemblies, digital workers and AI agents act on that twin across signal, identity, experience, revenue, retention, growth, risk, service and enablement. Humans stay in command where cost or risk needs approval.
CVM is not a CRM, CDP, Customer 360 dashboard, personalization engine, or data lake. Those tools store or trigger parts of the customer story. CVM understands the whole customer and acts on it.
One twin. Ten operating clusters.
The customer-value domain is organised into ten operating clusters, all reading the same resolved customer context. Detailed assemblies, workers, agents and APIs are available on their own pages.
Outcomes, not dashboards.
Risk is surfaced while there is still time to act and routed with an intervention matched to the cause and customer value.
Usage, product holdings and need signals are converted into an evidence-backed expansion action.
One governed recommendation across app, web and assisted channels, grounded in the same customer context.
Autonomy you can audit. Routine work runs itself; a person stays on every decision that carries real cost or risk; and the split between the two stays visible end to end.
A grid is not one thing.
It’s the whole function, layered.
This is what separates a grid from a solution. Customer value opens into clusters, each cluster into running assemblies, each assembly composed of the workers, agents and APIs that do the work.
Operational clusters
Ten operating areas. Every part of the function has a home on the twin.the domain, groupedAssemblies
Complete functions that run end to end, governed at every step.16 running functionsWorkers · Agents · APIs
Workers own the process, agents reason and decide, APIs feed real-time context.26 workers · 35 agents · 27 APIsThe trace is the decision.
Causal and deterministic
Critical customer actions follow your business rules in order, not a probabilistic guess. A team lead, auditor or regulator can open the chain and see exactly why, down to the source signal.
Humans on the gates
People stay in command on the high-stakes calls: large credits, big offers, account plays and campaign launches.
Proven beyond customer value
The same reasoning substrate is formalized in peer-reviewed research for aerospace competency management and runs tier-one banking operations.
Built for scrutiny
Certified to SOC 2 and ISO 27001, with an independent bias audit, and built for the transparency that regimes such as the EU AI Act now require.
The pain is different. The context layer is the same.
The pain. Relationships are fragmented across products and channels, so risk, attrition and the next right offer are never seen together.
Fragmented today
Resolved into one customer context
- One relationship view across every product and channel
- Risk posture and customer value seen together, not in separate teams
- Lifecycle, primacy and attrition signals kept live
The pain. Silent churn and thin margins play out across a huge subscriber base, with service issues that erode trust faster than offers can repair it.
Fragmented today
Resolved into one customer context
- Value and churn risk resolved per subscriber
- Service experience tied directly to subscriber value
- Offers placed in the context of live usage and care
The pain. Long silences between claims and renewals hide engagement and lapse risk until the policy is already gone.
Fragmented today
Resolved into one customer context
- Engagement and lapse risk visible across the silent middle
- Claims experience connected to renewal outcome
- One household view across multiple policies
The pain. Loyalty and lifetime value leak across fragmented online and store touchpoints that never share one customer view.
Fragmented today
Resolved into one customer context
- One customer resolved across online and store
- Lifetime value and churn risk seen together
- Basket, category and journey context kept live
Walk your hardest account, end to end.
On your customers, your signals, your offers, as the use case. Not a generic demo.