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Real-time AI execution across OSS, BSS, network, and service environments.

Run network, operations, and subscriber intelligence on one AI operating layer

Operate Telecom AI and Agentic AI across network performance, customer experience, field operations, and revenue systems within one governed execution runtime.

Telecom AI is everywhere. Operational control is not.

Most telecom providers run AI across network optimization, churn, fraud, and customer operations. Few can operate it continuously across OSS, BSS, and service environments.

AI Now:

01

Drives network optimization and capacity decisions in real time

02

Operates inside service assurance and customer workflows

03

Supports NOC teams, field engineers, and care operations

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Must be governed during execution, not after deployment

Where telecom AI breaks without an operating layer

Network, customer, and operations AI operate in silos

Governance sits outside runtime execution

OSS and BSS environments remain fragmented

Every new use case introduces new tooling, vendors, and complexity

Providers are not lacking AI capability.
They are lacking a system to operate it across the telecom stack.

Unlimited Telecom AI and Agentic AI. One governed runtime.

Network intelligence operating at runtime

Optimize performance, capacity, and fault detection within governed decision environments.

  • Predictive network performance intelligence
  • Congestion and capacity optimization
  • Fault detection and resolution support

Service assurance and operations automation

Run AI inside operational workflows supporting uptime and reliability.

  • Incident prediction and prioritization
  • NOC workflow intelligence
  • Root cause analysis support

Subscriber intelligence across lifecycle and experience

Operate personalization, churn prevention, and engagement within controlled execution environments.

  • Churn prediction intelligence
  • Customer experience signals
  • Next-best engagement actions

Revenue assurance and fraud intelligence inside transaction ecosystems

Monitor billing, usage, and financial activity in real time.

  • Usage anomaly detection
  • Billing and revenue leakage insights
  • Fraud monitoring across telecom workflows

Agentic copilots for NOC, field, and service teams

Assist engineers and operations teams with governed decision support.

  • NOC decision copilots
  • Field engineer assist copilots
  • Service operations support

Telecom workflows expanding without new stacks or vendor sprawl

01

Field service optimization

02

Infrastructure planning intelligence

03

Device lifecycle intelligence

04

Partner ecosystem monitoring

Telecom AI in production

Real deployment. Measurable operational impact.

case study img

Borosil

A leading Indian glassware and consumer product manufacturer managing a large and complex logistics network across the country.

Kernel-governed execution across OSS, BSS, and network operations

Policies run inside network and operational workflows.

  • Governance-as-code at runtime
  • Policy enforcement across models, agents, and workflows
  • Auditability, traceability, and reversibility embedded into execution

Tailor-made for regulated insurance environments

Designed for compliance-driven, risk-sensitive operations.

ISO 42001
ISO 27001
SOC 2
HIPAA
GDPR
Top Company
top 10 ai startup
winner of pitchjam
challenger-pema-quadrant
best startup application
top ai startup
infosys-finacle

Infosys Finacle’s Open Source Services Partner FY25

insurtech

InsurTech of the Year 2025

Supports governance, audit, and regulatory workflows across underwriting, claims, and servicing.

Scale Telecom AI without governance gaps, lock-in, or operational fragmentation

01

Operate network, subscriber, and revenue intelligence as one governed system

02

Reduce operational friction across OSS, BSS, and service environments

03

Scale use cases without multiplying infrastructure and vendors

04

Strengthen reliability, accountability, and audit readiness

05

Move from isolated AI deployments to telecom-wide AI operations

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