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Brochure № 01 · 2026

On-device · Real-time · Privacy-first

Turn physical spacesinto live businessintelligence.

Three solutions for retail, innovation and WEEE (E-waste) — one edge-AI architecture you can trust.

Book a Pilot Download brochure ↓
A curated innovation corner in a grocery store: an anonymous shopper from behind reaching for a packaged product on a wooden display while a small black ceiling-mounted sensor watches the shelf.
Neuvana live retail pilot · Iberia · 2026
0%
of brand decisions happen at POS
0%
sales boost with shopper personalisation
0+
stores digitised in live retail-media network
0%+
target WEEE sorting accuracy

01 · The reality

Physical spaces are under-instrumented.

Lost sales. Wasted launches. Operator variation. Compliance exposure. Five challenges. One missing layer.

  1. 01

    Invisible demand

    Retailers see sales — not the journey before the sale: stops, dwell, touch, abandonment.

  2. 02

    Blind launches

    Innovation teams spend months on NPIs without a shelf feedback loop on who noticed, engaged or converted.

  3. 03

    Manual variation

    E-waste outcomes vary by operator, shift and site — training, rework and contamination create avoidable cost.

  4. 04

    Circularity gap

    PROs need item-level traceability and producer-attribution data they cannot currently produce.

  5. 05

    Privacy constraint

    Stores and plants need intelligence without facial recognition, cloud video or personal-data storage risk.

02 · The shift

“
90% of the customer journey happens before the receipt prints.

Sales data sees the last 10%. We instrument the rest — anonymously, on-device, in real time.

— Neuvana field deployments · 2024 – 2026

03 · The portfolio

One architecture. Three measurable outcomes.

Pick the one your category needs first. Add the others as you scale.

A premium curated retail display island stocked with new artisan products, two anonymous shoppers exploring it.
Chapter I · Innovation Intelligence

Innovation Intelligence

LaunchIQ

See innovation work.

Perceives shopper presence, personalises content at the shelf, and measures engagement-to-conversion for new product introductions.

Best for
Brands, retailers and category teams that need faster product learning.
Use case
Whether new products are noticed, handled, understood and converted — before the launch cycle ends.
Explore LaunchIQ
A shopper examining a product while VisionPulse anonymously measures dwell time (45s) and engagement — the moment of decision, quantified.
Chapter II · Retail Intelligence

Retail Intelligence

VisionPulse

See what sales data can't.

Measures foot traffic, anonymous demographics, dwell, attention, heatmaps and retail-media performance — before POS.

Best for
Retail operations, media networks, merchandising and store / POS design teams.
Use case
Optimise endcaps, aisles, promotions, staffing and media screens with evidence from actual shopper behaviour.
Explore VisionPulse
The Neuvana NEVS Vision Box — the on-belt edge unit that powers Elysium WEEE (E-waste) sorting.
Chapter III · Waste Intelligence

Waste Intelligence

Elysium

See what matters. Sort what counts.

Classifies WEEE at belt speed using multi-sensor fusion (3D vision, infrared, X-ray), AR operator guidance and audit-ready circularity data.

Best for
PROs, e-waste sorters, recyclers and electronics producers.
Use case
Improve sorting accuracy, traceability, recovery and auditability while preserving human-in-the-loop control.
Explore Elysium

04 · What you see on day 30

Live KPIs the executive team already reports.

No new dashboards to learn. We feed numbers into the conversation you already have.

VisionPulse dashboard showing visitors per hour, store heatmap, demographics and conversion KPIs in a dark editorial UI.

05 · From signal to decision

Four steps. One loop. Compounds every shift.

01

Observe

Sensors capture presence, objects, interactions and conveyor flow at the point of activity.

02

Interpret

Edge AI detects patterns, classifies objects and scores confidence in real time.

03

Recommend

Agentic workflows personalise content, highlight anomalies or guide operator action.

04

Improve

Dashboards turn activity into optimisation loops across sites, shifts and teams.

06 · What customers get

Three solutions. One commercial objective: measurable customer value.

Revenue growth · Improved retail execution · Circularity & compliance. Each one backed by KPIs the executive team already reports.

LaunchIQ

Close the NPI feedback loop

  • Revenue growth from successful launches
  • Fewer failed product introductions
  • Faster shelf-message iteration
  • Higher awareness-to-purchase conversion

KPIs we report

attention ratedwellpickupinteractionloyalty actionsconversion lift

VisionPulse

In-store behaviour intelligence

  • Revenue growth from layout and media ROI
  • Better retail-media planning
  • Higher campaign ROI
  • Smarter staffing by traffic pattern

KPIs we report

visitor countdwellzone heatmapsmedia engagementbasket upliftcross-store benchmarks

Elysium

AI-guided WEEE intelligence

  • Revenue from improved recovery
  • Circularity & compliance progress
  • Higher material and critical-mineral recovery
  • Faster operator ramp-up

KPIs we report

sorting accuracycontaminationthroughputrecovery valuerejected batchespayback period

07 · Inside the box

Engineered, not assembled.

One sealed unit per site. Inference happens on the box. Privacy lives at the perimeter. Built for the messy reality of stores, innovation corners and sorting lines.

On-premises
Customer site is the trust boundary. Data stays there.
Edge-first
Decisions made on the line, in real time.
Multi-signal
More than one sensor, fused into a single judgement.
Industrial-grade
Sealed for stores, sorting lines and back-of-house.
Close-up of a Neuvana operator display in a live WEEE deployment — real-time AI classification labels overlaid on items moving along a sorting belt.
Live deployment · Iberia · 2026

08 · Privacy & GDPR

Edge AI built for customer trust.

— 01 We process on-device. No facial recognition. No identity tracking. Anonymous operational metadata only — never raw personal data.

— 02 We support data minimisation, purpose limitation, retention rules, access roles, signage language and DPIA inputs out of the box.

— 03 We reduce cross-border transfer concerns and external cloud dependency for inference. Customers keep control of their data estate.

Read the full Privacy Policy

09 · See it live

60 seconds. Inside the box.

09 · Commercial engagement

Start small.Prove value.Scale with confidence.

Tell us the aisle, corner or sorting line you want to instrument first. We come back with a pilot scope, KPIs and a quote.

Book a Pilot Download brochure ↓

  1. 01 / Pilot

    One aisle, corner or sorting line. Baseline, KPIs and success criteria agreed upfront.

  2. 02 / Scale

    Expand to additional stores, aisles or facilities with dashboards and cross-site benchmarking.

  3. 03 / Partner

    Long-term SaaS, support and value-aligned models with measurable economics.