3-YEAR TRAFFIC-INTELLIGENCE PROGRAM - Layer 7, MPLS, and GTP analysis
High-performance traffic classification and protocol processing connected packet behavior to useful network intelligence under production load.
NETWORKING, SDN & OPEN INFRASTRUCTURE ENGINEERING
Build programmable network infrastructure - and add intelligence without surrendering policy, safety, or operational control.
OPTIME engineers routing, switching, network operating systems, SDN controllers, OpenStack networking, virtual switching, high-performance data planes, telemetry, automation, and open network infrastructure.
We integrate AI-assisted operations, predictive analysis, intent-to-policy workflows, digital twins, and bounded closed-loop actions where they improve network reliability, efficiency, and operator response.
AI may recommend or orchestrate. Deterministic policies, validation, approval, rollback, and network controllers remain authoritative.
WHERE NETWORKING ENGINEERING FITS
Engineering for networks that must remain programmable, observable, high-performing, and operationally controlled.
- A network operating system, controller, routing, switching, or virtual-networking platform requires development or modernization.
- OpenStack, SDN, overlays, underlays, tenant networking, or distributed infrastructure requires architectural work.
- Control-plane and data-plane components must integrate across vendors, protocols, and deployment environments.
- High-volume telemetry must become actionable operational state rather than disconnected alerts.
- Operators need anomaly detection, event correlation, root-cause assistance, or predictive capacity analysis.
- Intent or natural-language input must become candidate network policy with validation and approval.
- Network changes require simulation, digital-twin validation, controlled rollout, and rollback.
- 5G, Open RAN, edge, AI infrastructure, and emerging 6G architectures can require distributed networking and policy-controlled intelligence.
ENGINEERING PROOF
Network engineering based on measured packet paths and operational infrastructure.
The evidence comes from traffic analysis, packet-processing systems, network planning, storage infrastructure, and long-running communications environments - not from technology-list familiarity alone.
HIGH-PERFORMANCE DATA PATHS - Packet processing with DPDK and ODP
Native data-plane work has included queueing, memory movement, flow and protocol state, multicore behavior, overload handling, and hardware-aware execution.
INFRASTRUCTURE OPERATION - Planning, storage, and communications systems
Network planning, enterprise storage infrastructure, and long-running communications engineering provide the operational context for control, telemetry, resilience, and modernization decisions.
NETWORKING AND OPEN INFRASTRUCTURE CAPABILITIES
Engineer the network, control system, telemetry, and bounded automation together.
OPTIME combines open network software, programmable control, high-performance data planes, telemetry, policy, simulation, and operator-controlled intelligence around the actual infrastructure.
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Network Operating Systems, Routing, Switching, and Control Planes
Build and modernize the software and control services that make open, multi-vendor networks operable and dependable.
- Network operating systems
- Routing and switching
- Control-plane services
- Protocol integration
- Configuration models
- Management APIs
- High availability
- State management
- Multi-vendor interoperability
- Network device integration
- Testing and simulation
- Operations tooling
HOW THE NETWORK CONTROL SYSTEM FITS TOGETHER
Network intelligence must operate inside a bounded control architecture.
AI can accelerate diagnosis, prediction, and policy creation, but authoritative network behavior must remain constrained by topology, deterministic policy, controller state, validation, approval, and rollback.
Business intent, service requirements, and network policy
Operators, applications, APIs, and automation workflows
AI-assisted analysis, prediction, recommendation, and candidate action
Digital twin, topology, network state, policy validation, and simulation
SDN controllers, orchestrators, network operating systems, and control planes
Routing, switching, virtual networking, network functions, and data planes
Physical, virtual, cloud, OpenStack, edge, telco, and AI infrastructure
Telemetry, security, observability, approval, audit, rollback, and operational control
NETWORK OPERATING OUTCOMES
Improve network understanding, change safety, resource efficiency, and operator response.
Representative measurements
- Availability
- Packet loss, latency, and jitter
- Route or service convergence
- Throughput and capacity utilization
- Congestion
- Change-failure rate
- Mean time to detect, understand, and recover
- Policy-violation rate
- Telemetry completeness
- Prediction quality
- Rollback success
- Energy per network service or site where measurable
Operational outcomes
- Faster root-cause analysis
- Safer network changes
- More consistent policy enforcement
- Better capacity forecasting
- Earlier anomaly detection
- Reduced configuration drift
- Improved network-energy efficiency
- Controlled closed-loop operation
- Better support for edge and AI infrastructure
- Auditable operator and AI actions
Network intelligence remains bounded by authoritative state, deterministic policy, controlled change, and measurable operating results.
HOW THIS SERVICE IS USED
Typical networking, SDN, and intelligent-infrastructure engagements
Representative patterns show how control planes, data planes, telemetry, policy, simulation, and bounded intelligence can be combined.
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AI-Assisted Network Operations Platform
Operators need correlated topology, telemetry, events, explanations, and suggested remediation without removing operational authority.
- Telemetry ingestion
- Topology model
- Event correlation
- Root-cause assistance
- Suggested actions
- Approval and audit
DELIVERY APPROACH
From network state and policy to controlled production operation.
Phase 1 - Network State, Topology, Policy, and Operational Assessment
- Current topology and services
- Protocol and platform inventory
- Policy and security boundaries
- Telemetry coverage
- Operational workflows
- Failure history
Phase 2 - Controller, Data-Plane, Telemetry, and Intelligence Architecture
- Control and data-plane boundaries
- State and topology model
- Automation interfaces
- Simulation path
- Approval and rollback
- Success measurements
Phase 3 - Network Platform, Automation, and Intelligence Implementation
- Network software
- Controller integrations
- Data-plane functions
- Telemetry pipelines
- Bounded intelligence
- Operator tooling
Phase 4 - Simulation, Failure Testing, Controlled Rollout, and Operations
- Scenario simulation
- Scale and failure testing
- Policy validation
- Controlled rollout
- Rollback validation
- Runbooks and handover
START WITH A FOCUSED ENGAGEMENT
Establish the network evidence and control boundaries before a wider implementation.
Network Architecture and Modernization Assessment
Best for: Network platforms, SDN systems, OpenStack environments, or operations stacks with unclear technical debt, boundaries, and modernization priorities.
- Current-state map
- Protocol and dependency review
- Control and data-plane assessment
- Risk register
- Target architecture
- Delivery roadmap
AI-Assisted Network Operations Pilot
Best for: Operations teams that need better event correlation, root-cause assistance, capacity prediction, and auditable recommendations.
- Telemetry baseline
- Topology integration
- Operational use case
- Pilot analysis path
- Evaluation results
- Control and rollout plan
SDN Policy Automation Sprint
Best for: Teams that need to turn service intent into validated, approved, observable, and reversible controller actions.
- Intent and policy model
- Validation rules
- Controller integration
- Approval workflow
- Rollback path
- Engineering backlog
Network Digital Twin and Change-Validation Pilot
Best for: Organizations that need to simulate topology, policy, traffic, failures, and planned changes before production rollout.
- Twin scope and data model
- Topology import
- Representative scenarios
- Validation results
- Change workflow
- Scale-up roadmap
RELATED SERVICES
When the network crosses into another engineering discipline
Accelerated Computing & Performance Engineering
For deep packet-processing hot paths, native code, SIMD, memory, queues, and hardware-specific execution optimization.
Private AI Infrastructure & Inference Optimization
For model-serving platforms, accelerator capacity, security, observability, and private AI operations.
Telecom & Real-Time Communications Engineering
For SIP, WebRTC, VoIP, media sessions, carrier integration, and real-time communication platforms.
Embedded, Firmware & Connected Systems Engineering
For network appliances, gateways, firmware, embedded Linux, device security, and field lifecycle.
Production AI Systems Engineering
For higher-level AI applications, multi-model workflows, enterprise integration, evaluation, and human oversight.
RELATED WORK
Networking, SDN & Intelligent Infrastructure Case Studies
Selected networking, SDN, packet-processing, open-infrastructure, and network-intelligence case studies will be added here as they are approved and updated for publication.
CONTACT US
Discuss your networking, SDN, or open-infrastructure system with OPTIME
Share the routing, switching, control-plane, data-plane, OpenStack, telemetry, automation, network-intelligence, policy, scale, or operational constraint that must be resolved.
Austin, Texas
Distributed engineering teams across North America, Europe, the Caucasus, and Latin America.
[email protected]