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Capabilities

Engineered end-to-end. Operated for the long run.

Three integrated disciplines cover the full life of an urban AI system — from the model that watches a junction to the technician who keeps it watching, year after year.

Pillar 01

AI & computer vision integration

Vision AI creates value only when it runs reliably on real streets, across mixed camera stock, in monsoon light. We integrate it there.

  • City-scale video AI deployment

    ANPR, traffic violation detection, crowd analytics, intrusion and encroachment monitoring — deployed across thousands of concurrent streams and integrated with VMS and command-centre platforms for live operations and forensic search.

  • AI retrofit engineering

    Existing camera estates made intelligent: structured field survey, edge-AI enablement, network re-termination and modernisation — engineered around the mixed-brand, mixed-age reality of installed infrastructure rather than the datasheet version of it.

  • Edge computing architecture

    GPU-class edge inference where latency and bandwidth demand it, cloud processing where scale demands that — with model deployment, monitoring and retraining pipelines designed for years of production, not weeks of demo.

  • Command centre intelligence

    The operator's side of the system: video-wall and workflow integration, incident management, alarm-driven layouts, and camera intelligence — geographic, functional, incident-based and priority grouping — so a control room runs as one instrument, not a bank of screens.

  • GIS-linked workflows

    Every camera, pole, pipe and asset geo-tagged onto municipal maps — ward-wise layers, KML integration, editable registries with authorisation controls, and map-driven workflows for permits, assets and field operations. When the map is the system of record, governance gets spatial.

  • Platform & ICCC integration

    Open-standards integration into AI-ICCC platforms: REST, MQTT, ONVIF and GIS — every device geo-tagged, every event correlated, every stream visible where operators actually work.

Pillar 02

Smart infrastructure & IoT platforms

The physical layer of the intelligent city — designed, powered, connected and brought online as one coherent system.

  • Smart pole ecosystems

    Multi-function poles integrating AI cameras, environmental sensing, public Wi-Fi, EV charging, digital display and emergency SOS — from foundation engineering to subsystem commissioning to unified dashboard management.

  • Environmental & IoT sensor networks

    Air quality, flood, energy and asset telemetry over MQTT and edge gateways — device onboarding, health monitoring and data pipelines built for ten-thousand-endpoint scale.

  • Connectivity & network fabric

    Optical fibre backhaul, wireless links and street-level networking that carry the city's intelligence — surveyed, built and documented with the discipline of infrastructure, because that is what it is.

  • Power & site engineering

    Utility coordination, metered power provisioning, protection and earthing for field electronics — the unglamorous engineering that decides whether uptime targets are achievable at all.

Pillar 03

Managed operations & FieldOps

Intelligent infrastructure is a promise about the future. Our operations practice exists to keep it — for the full life of the asset.

  • SLA-engineered field operations

    District-based response teams, spares logistics and escalation management designed around contractual uptime — 72-hour field response and 97%+ availability targets treated as engineering constraints, not aspirations.

  • Device & model lifecycle management

    Firmware currency, configuration integrity, camera health analytics and AI model performance in production — the maintenance layer that keeps an intelligent system intelligent as the city changes around it.

  • Operations centre support

    NOC-style monitoring of field estates, ticketing integrated with command-centre platforms, and multilingual helpdesk capability for the officers and citizens who use the system daily.

  • Decade-scale asset stewardship

    Preventive maintenance calendars, refresh planning and documentation discipline across O&M terms measured in years — because the programmes that age well are the ones somebody planned to operate.

Delivery process

How a programme moves from survey to steady state.

  1. 01

    Survey & discover

    Site conditions, existing estates and permissions mapped before design is frozen.

  2. 02

    Architect

    Edge-to-cloud design, integration interfaces and operations model defined together.

  3. 03

    Deploy

    Parallel field execution across districts with schedule-critical dependency management.

  4. 04

    Integrate & prove

    Staged acceptance — device, integration, performance, security — to command-centre go-live.

  5. 05

    Operate

    Managed services and FieldOps through the full asset life, measured against SLAs.

Engagement models

Three ways we come into a programme.

  • Consortium member

    A committed bid partner for large government programmes — bringing integration, deployment and operations scope with joint accountability from proposal to final acceptance.

  • Execution partner

    End-to-end deployment delivery for system integrators and OEMs — field engineering, installation, connectivity and commissioning under your programme, at your specification.

  • Managed services

    Long-term operations of deployed estates — SLA-driven field maintenance, monitoring and lifecycle management for infrastructure others have built, or we have.

Have a programme in design?

The earlier the ground layer enters the conversation, the better the architecture — and the schedule — turn out.

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