FlowViss
Manufacturing Execution & Traceability
See execution, work in progress and traceability from production order to shipment.
Explore applicationYour production, quality, automation, energy and people are part of one manufacturing operation. Dataviss brings them together through specialised industrial AI applications that turn available operational information into actionable intelligence. Start with one application and connect more as value is demonstrated.
connects and contextualises trapped industrial data
Keep your systems. Connect your operations. Add intelligence. Each Dataviss application delivers independent value. Relevant context can be shared progressively through supported integrations, with human oversight of critical decisions.
Daily manufacturing intelligence, cross-functional analysis and decision support using available operational evidence.
Explore IQVISSPROGRESSIVELY CONNECTED OPERATIONAL APPLICATIONS
Manufacturing Execution & Traceability
See execution, work in progress and traceability from production order to shipment.
Explore applicationIntelligent Quality Management
Connect quality planning, SPC, complaints, 8D and AI-assisted improvement.
Explore applicationIntelligent Visual Inspection
Support visual inspection, quality evidence and manufacturing traceability.
Explore applicationIndustrial Automation Engineering
Assist PLC, SCADA and HMI engineering workflows.
Explore applicationFacility & Energy Intelligence
Review facility, energy and equipment performance.
Explore applicationIndustrial Learning & Competency
Build industrial skills through self-learning and competency development.
Explore applicationMachines and equipment perform defined tasks.
Systems collect, organize and present operating information.
Relevant operational context supports AI-assisted decisions and coordinated action.
Every Plant Deserves Daily Intelligence. Start anywhere. Connect everything as your needs and integrations evolve.
Discuss Your Plant's Intelligence PotentialDataviss helps teams turn recurring manual analysis into clear, evidence-backed priorities. Analysts work with the data actually connected and available; plant owners remain accountable for validation and action.
What changed? Why does it matter? What should we do next?
IQVISS + Floviss
What changed in output, downtime, WIP or order readiness?
Review production, inventory and execution evidence; surface delays, losses and work requiring attention.
Review effort · output losses · overdue actions
Qualitiviss + QAI
Which defects are recurring and where is COPQ rising?
Review SPC, rejection, complaints, PFMEA and corrective-action context; prepare investigation priorities.
COPQ · investigation effort · recurrence
Faciliviss
Which assets or utility patterns need an engineer's review?
Compare available meter and equipment evidence against operating context to surface anomalies.
Energy variance · response time · asset exceptions
DatVision AI
Which inspection exceptions need immediate follow-up?
Connect visual findings with product, station and inspection evidence for traceable review.
Inspection coverage · repeat defects · review effort
Start the operating review with priority exceptions, supporting evidence, an accountable owner and the next investigation—not another collection of disconnected dashboards.
Delivery cadence, alerts and source connectivity are configured by workflow. This is a proposed cross-functional experience, not a claim that every customer has already deployed a unified brief.
View decision brief examplesA recurring dimensional rejection deserves line-level investigation.
Next: Review inspection trends and previous corrective action.
Cycle-time movement may threaten the next shift's output.
Next: Validate machine, shift and order context.
Utility consumption is above the configured operating baseline.
Next: Ask an engineer to check asset sequencing and load.
AI proposes priorities; authorised teams validate and decide.
Start with the repetitive work creating the clearest operational bottleneck. You do not need to deploy the entire Dataviss portfolio at once.
One problem → one accountable owner → one measurable first outcome.
Prepare shift, daily and weekly priorities from production, downtime, maintenance, quality and cost evidence.
Surface shortage, excess, ageing, blocked-stock and transfer risks before the next review.
Prioritise SPC variation, supplier evidence, PPAP, complaints and warranty cases while experts retain approval authority.
Detect abnormal energy, HVAC, cooling, water and equipment behaviour against operating baselines.
Connect inspection exceptions with product, recipe and station evidence for traceable human review.
One recurring review, evidence pack, case, characteristic or inspection decision.
The minimum systems, databases, files or equipment signals needed for that work.
One accountable person who validates the output and retains decision authority.
A baseline for time, cases, SLA, loss, working capital or risk—agreed before expansion.
No portfolio-wide commitment. Expand only after your team validates the first operational outcome.
Assess one recurring decisionDataviss applications are embedded in daily operations across manufacturing plants, data centres, network infrastructure and automotive supplier ecosystems. AI Analysts now extend these proven foundations with recurring, evidence-backed intelligence.
FaciliVISS in Nokia daily operations
Qualitiviss in Wheels India daily operations
Wheels India quality footprint across India
Automotive Tier-1 and Tier-2 ecosystem reach
DatVision AI operating at Ashok Leyland
DatVision AI across multiple customers
Trusted in daily operations
Supporting quality initiatives across an ecosystem of 100+ automotive and auto-component suppliers in India and international markets.
FaciliVISS operates across two global data centres, one network centre and an electronics manufacturing facility at Nokia. The facility portfolio also includes deployments at Purechem Nigeria and Flex.
Qualitiviss has supported daily quality workflows across more than 10 Wheels India plants for three years. QAI has recently been rolled out pan India, extending that operational foundation with recurring quality analysis.
DatVision AI has operated across four Ashok Leyland plants for three years and at Wheels India for one year, supporting end-of-line inspection and vision-based traceability as part of 20+ rollouts across multiple customers.
This is how Dataviss moves customers from digital operations to continuous decision intelligence without disrupting the systems already in daily use.
Your IT, OT, edge and vision systems already generate the evidence. Dataviss connects that evidence to operational context, adds specialised AI Analysts for repeatable analytical work, and carries validated outcomes forward as reusable intelligence.
Keep your existing systems. Add intelligence on top.
Bring operational evidence together from ERP, MES, QMS, SCADA, BMS, machines, sensors, cameras, databases, files and APIs without replacing the systems already in use.
Connect what the evidence represents across plants, lines, machines, processes, products, parameters, quality events and actions so analysis starts with operational meaning.
Put purpose-built AI Analysts on recurring operational work to connect evidence, detect change, explain risk and prepare the next investigation or recommendation.
Move intelligence into investigations, corrective actions and operating workflows while accountable teams retain technical validation and decision authority.
Preserve events, investigations, decisions and outcomes so future analysis can reuse validated operational context instead of repeatedly starting from zero.
EdgeVISS is used where industrial connectivity is needed. When operational data is trapped in machines, controllers or industrial protocols, EdgeVISS connects and contextualises it. When data is already accessible through enterprise systems, databases, files or APIs, Dataviss applications and AI Analysts can work with those sources directly.
Each Analyst connects available sources, states the finding, shows the evidence and proposes the next investigation step while the responsible team retains decision authority.
The first two previews reflect published case-study workflows. Facility and visual-inspection scenarios are illustrative product-output examples, not reported customer results.
Sites with silent or overdue surveillance signals require priority investigation.
Review the highest-priority sites before scheduling field action.
Warranty cases at risk of missing the closure SLA need ownership and next-action review.
Escalate the case owner and complete the outstanding evidence review.
Utility consumption has moved outside its operating baseline.
Ask the facility engineer to validate sequencing and operating conditions.
An inspection exception is connected to product identity and station evidence.
Review the retained evidence before disposition or process adjustment.
Start with the operational decision that matters now. Expand across departments, plants and regions without replacing the systems already in use.
Begin with one plant, one department or one recurring decision using the spreadsheets, machines and systems already available.
Single site · Focused use case · Fast operational start
Connect production, quality, maintenance, utilities and inventory intelligence across growing teams and multiple plants.
Multi-department · Multi-plant · Repeatable deployment
Deploy governed intelligence across sites, regions and operating systems with cloud, edge, on-premise or hybrid architecture.
Multi-site · Multi-region · Enterprise governance
Automotive, components, electronics, equipment and assembly operations.
Chemicals, pharma, food, metals, cement and batch or continuous operations.
Built to hand your team a decision, not another chart to interpret.
Works with the historian, SCADA and ERP already on your plant floor.
Specialised Analyst Packs, each scoped to defined work—not one black box doing everything.
Deployed inside your environment, role-based access, full audit trail.
We recommend the investigation — your team makes the call, always.
Every brief adds to a library of what's normal for your plant.
Begin with a focused operational problem, keep the systems and decision rights you already have, and expand only when the evidence supports it.
No. Your ERP, MES, SCADA, QMS and BMS remain in place. Dataviss reads from and works around those systems; it does not require a platform-wide migration.
No. The Analyst presents evidence, business impact and a recommended investigation. Your plant managers, engineers and domain experts retain final authority.
No. A dashboard presents data and leaves the investigation to your team. A Decision Brief identifies the issue, connects the evidence and shows what deserves attention first.
Start with the AI Analyst that matches the recurring work. Add an operational application only when the workflow or system of record is missing. Add EdgeVISS only when machine or industrial data is trapped and difficult to access.
Start with one plant, line, facility or recurring decision that is already costing time or money. Prove the outcome first, then scale through a governed rollout.
Show us the recurring work, operational problem or delayed decision. We will identify the minimum evidence required, the best-fit Analyst and the measurable outcome your first deployment should prove.
One review, investigation, evidence pack, case or decision that repeatedly consumes time.
The minimum ERP, QMS, SCADA, BMS, historian, vision or file-based sources needed.
Time released, cases processed, SLA performance, loss, working capital or risk—measured before expansion.