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    QHSEtech

    Qavach.AI

    Qavach combines observations, investigations, risk records and actions for ports and container terminals. The Qavach.AI offering adds pattern analysis and assistants using terminal information. Separate demonstrated workflow functions from unvalidated predictions before procurement.

    Evidence: Researched profile

    Built from vendor sources checked ; AI-assisted drafting. Documentation review, not a hands-on test. How pages are made

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    Who is Qavach.AI for?

    Ports, container terminals and inland depots seeking domain-specific HSE workflows. Vendor pages use strong autonomous, predictive and preventive claims, including 30-day trajectories, prescribed barriers and media-triggered violation or incident records. No independent accuracy, false-alert, prevention or ROI validation was established. Treat outputs as decision support until tested on representative terminal data, camera positions and operating conditions. The published privacy policy is a website policy, not sufficient evidence of product data processing, video surveillance, retention, biometric handling or cross-terminal model isolation. Roadmap items are not current entitlement.

    Worth evaluating for terminals that would otherwise configure industry-specific workflows from scratch. Balance that fit against the minimum licence footprint and the cost of modules, integrations and AI validation.

    Trial or demo on request. Sources checked .

    Product tour

    Vendor visuals—not a QHSEtech hands-on test.

    Laptop and phone showing an observation dashboard with risk-category pie charts, a trend line and observations by status

    Observation dashboard on laptop and phone

    Source
    Laptop and phone showing an incident dashboard with count tiles, a risk-category pie chart, a work-area table and incidents by status

    Incident dashboard on laptop and phone

    Source

    Capabilities and scope

    Qavach is Quantum BSO's modular QHSE platform for ports, container terminals, inland depots and related facilities. Qavach.AI is the vendor's pattern-intelligence layer and named assistants, not a standalone proof that every Qavach Core, Safety, Additional or roadmap module is licensed. It is unrelated to similarly named Kavach security products.

    Qavach.AI capabilities, evidence status and source links
    CapabilityEvidenceScope and source
    Observation captureDocumented by vendor

    Observations can be categorized, reviewed and escalated into near-miss follow-up.

    Observation workflow
    Terminal risk workflowDocumented by vendor

    The overview links incident information, risk records and corrective action processes.

    Terminal HSE overview
    Permit workflowsDepends on scope

    The optional safety portfolio describes permit review, approval and closeout configuration. Confirm purchased scope.

    Optional safety modules
    AI pattern analysisDepends on scope

    The vendor markets pattern clustering and Ask QAI/Polaris assistants. Prediction quality and intervention effectiveness were not independently established.

    AI product scope
    Offline mobile captureDepends on scope

    Offline Observation and Incident functions are documented; other workflows are not established as offline.

    Mobile, hosting and API FAQ
    Integration servicesDepends on scope

    The FAQ describes API integrations subject to feasibility and time-and-material fees.

    Mobile, hosting and API FAQ
    Incident-to-action workflowDocumented by vendor

    Qavach documents incident reporting, investigation, risk profiling, root-cause analysis, action and closure, with multimedia evidence, notifications and dashboards. Buyers should configure event taxonomy, mandatory review and regulatory reporting rather than assume a universal terminal procedure.

    Incident lifecycle, notifications and reporting
    Scheduled inspections and evidenceDocumented by vendor

    The inspection module supports scheduling, predefined or configurable checklists, previous-event context, witness statements and image, video, voice-note, schematic and annotation evidence. Verify device support, file limits, retention and whether offline inspection is included.

    Inspection scheduling, evidence and checklists
    System-assisted root-cause analysisDepends on scope

    The vendor describes multiple RCA techniques, automated findings for lower-criticality or repeat events, and group analysis for critical incidents. Do not allow an unmanned result to replace competent investigation; test evidence linkage, override and approval controls.

    Root-cause methods, automation and group-analysis boundary
    Corrective action and effectiveness reviewDocumented by vendor

    Actions can be associated with events, configured across departments, costed and checked against later similar events for effectiveness. The system's proposed actions and claimed preventive effect require human ownership and outcome review.

    Action management, effectiveness checks and costing
    Alerts, reminders and escalationDocumented by vendor

    Incident and action pages describe calendar-driven workflows with alerts, notifications, reminders and escalations. Confirm delivery channels, acknowledgement, after-hours routing and what happens during integration or mobile outages.

    Incident lifecycle, notifications and reportingAction management, effectiveness checks and costing
    Dashboards and scheduled reportingDocumented by vendor

    The platform pages describe cross-module dashboards, KPIs, trend and exception reporting, and scheduled or on-demand publishing. Validate metric definitions, role filtering, export formats and the distinction between operational reporting and regulator-ready submissions.

    Terminal HSE overviewCore, Safety and Additional module boundaries

    More capability notes

    1 additional areas. Status describes reviewed sources, not hands-on performance.

    Also watch for: No public numeric subscription verified. Deployment scope needs a written proposal. Detection and workflow suitability require local evaluation.

    Qavach.AI pricing

    Custom quote

    Contact vendor. Official pricing specifies a baseline of 20 named employee licences, annual terms and core plus optional modules. No numeric licence price or currency is public in the reviewed pages. The FAQ also identifies annual maintenance and separately scoped integration work. Confirm app and analytics units, AI entitlement, contractor access, hosting and export fees.

    Pricing sources checked : Selected sources checked; no starting price recorded. Official commercial pages reviewed. No numeric subscription or unrestricted free trial established; request a scoped proposal and clarify any paid pilot.

    Which product scope should the quote cover?

    Terminal-focused QHSE workflows spanning observations, incidents, inspections, risk, root-cause and actions, with separately scoped Safety and Additional modules and a marketed Qavach.AI layer for patterns, media signals, predictions and assistants. Confirm licensed modules, cameras and integrations, hosting, AI data boundaries and human-control design in writing.

    Ask the vendor to identify the product, region, modules, billing unit, contract term and included services in writing.

    Offline work and integrations

    The official FAQ documents offline Observation and Incident features in the mobile app. Require a demonstration of attachments, preloading, synchronization and duplicate handling.

    What we could not verify

    6 depend on scope · 1 note

    Demo script

    Proposed demo: offline terminal observation

    1. Prepare the mobile app and disconnect a test device.
    2. Capture an observation and incident with permitted test attachments.
    3. Reconnect, inspect record integrity and assign follow-up.

    Proposed demo: evidence-led AI recommendation

    1. Provide approved historical records with known outcomes.
    2. Ask the assistant to explain a pattern and show its source records.
    3. Have a supervisor accept or reject the recommendation and inspect the decision history.

    Proposed demo: camera alert to reviewed incident

    1. Use an approved recorded or staged terminal scenario covering normal work, a true hazard and visually similar non-hazardous activity.
    2. Run it across the proposed camera, network and processing path and record detections, misses, false alerts and latency.
    3. Inspect the automatically created violation or incident, retained media, model or version metadata and linked pattern evidence.
    4. Have an authorised supervisor correct, reject or escalate the event and verify that the original machine output remains auditable.
    5. Repeat under low light, occlusion, weather and PPE variations before agreeing production thresholds or automated actions.

    Ask the vendor to show you

    1. Does the 20-named-user baseline apply to this proposal, and which Core, Safety, Additional and AI modules are licensed?
    2. Which Qavach.AI functions are production capabilities, pilots or roadmap items, and what contractual service levels apply?
    3. What labelled terminal data, minimum history and local model tuning are required before predictions or pattern alerts are enabled?
    4. Provide validation results for precision, recall, false alerts, missed events and drift by camera, hazard and environmental condition.
    5. Which cameras, video streams, proximity or fire/smoke sources are compatible, and who supplies edge hardware, networking and camera mapping?
    6. Are faces, vehicle identifiers, biometrics or worker-location data processed, and what are the retention, masking, access and regional-hosting controls?
    Use demo checklist

    Questions the sources answer

    Is Qavach.AI intended for general office safety?

    Its documented specialization is ports and terminals. Compare its terminology and processes with your operation before choosing it for a different industry.

    What is the Qavach minimum licence scope?

    The pricing page states a baseline of 20 named employee licences and annual terms. Confirm app, analytics, AI and optional module entitlements in the proposal.

    Can terminal staff report incidents offline?

    The FAQ names Observation and Incident as offline mobile features. Test attachment handling and later synchronization; this is not evidence that permits or AI assistance work offline.

    Can Qavach.AI guarantee that a predicted incident is prevented?

    No such guarantee is established by this research. Treat patterns and recommended barriers as decision support, with source traceability and responsible human approval.

    Is every module shown on the Qavach website included?

    No. Quantum distinguishes baseline Core modules, separately selectable Safety and Additional modules, and a roadmap of future areas. Require a module-by-module entitlement schedule, including Qavach.AI and mobile or BI units.

    Does Qavach.AI independently prove that an incident will occur?

    No independent predictive-accuracy evidence was established. The vendor markets patterns, clusters and 30-day trajectories; buyers should validate outputs on representative local data and keep accountable humans in control.

    Can Qavach.AI generate incidents from camera or sensor signals?

    The official AI page says video, image, proximity, intrusion, smoke and fire signals can drive violation or incident records. That is a vendor claim, not a site acceptance result. Confirm compatible sources, processing, accuracy, privacy and review workflow in a pilot.

    Can Qavach automatically close a root-cause analysis?

    The RCA page describes automated analysis for simple or repeat lower-risk events and group analysis for critical incidents. Configure severity gates, required evidence, human approval and override history before production use.

    Does the published privacy policy cover product video and employee safety data?

    The reviewed page is a general website privacy policy and is not sufficient product-processing documentation. Obtain the product DPA, subprocessors, hosting regions, retention schedule and controls for media, identifiers and cross-terminal analytics.

    Sources

    13 sources, checked

    Compare with

    Drawn from the profiles behind the Alternatives list above: most category tags shared with Qavach.AI first, then the closest overlap in documented capability names, then A to Z. Ratings, search demand and sponsorship are not used; rows are shown A to Z.

    • Benchmark Gensuite

      Shared category tags: 1 (Incident Management).

      Differs: trial not established (this profile: on request).

      Same: scope, offline and price.

    • CORE-EHS

      Shared category tags: 1 (Risk Assessment).

      Differs: offline unclassified (this profile: partial workflow); trial not established (this profile: on request).

      Same: scope and price.

    • SafetyStratus

      Shared category tags: 2 (EHS Management, Incident Management).

      Differs: trial not established (this profile: on request).

      Same: scope, offline and price.

    All Qavach.AI alternatives

    Reviews on qhsetech.com

    Reviews may be filed under other names

    Also recorded as Qavach. Older entries under a previous name may describe a different release or owner.

    Star ratings and review counts from the old catalog are not shown: no source for them was recorded.