Dataviss AI Analysts perform the repetitive work behind plant reviews, quality investigations and operating decisions—connecting evidence, explaining risk and directing the next investigation without replacing the systems your teams rely on.
connects and contextualises trapped industrial data
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 infrastructure already generates the evidence. Dataviss connects what is difficult to access, provides purpose-built operational applications, and adds specialised AI Analysts for repeatable analytical work.
Keep your existing systems. Add intelligence on top.
Connect industrial infrastructure through EdgeVISS where required, while accessible ERP, QMS, databases, files and APIs can connect directly.
Run and govern specialist operational workflows without replacing the systems already working in your environment.
Put specialised AI Analysts on recurring operational work: observe evidence, analyse change, explain risk and direct the next investigation.
Give accountable teams evidence-backed priorities and Decision Briefs so attention moves to the right problem faster.
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.