Knowledge as a Service
Nexa Intelligence
Nexa IntelligencePlatformMethodologyKAASTrust & SecurityEmergency Services
Nexa Intelligence
Nexa IntelligencePlatformMethodologyKAASTrust & SecurityEmergency Services
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PlatformIntelligence LayerGatherCodifyMonetize
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Nexa Intelligence

Turn what your people
and customers know
into a business unit.

The most valuable knowledge in your business sits in the heads of your people and your customers. We bring it out, refresh it weekly, and distribute it as infrastructure: to your teams, your brand partners, and the agents that read on their behalf.

Learn about KAAS →
Financial ServicesLawConsultingBeauty RetailPharmacyRestaurants
A worker behind a counter. The source of the intelligence layer.
Stage 01 · The SourceThe knowledge your CRM cannot see
lives in the head of the worker
standing at the counter.
Intelligence Layer dashboard: Executive Summary, Quality Distribution, Respondent Composition, Recent Conversations, Insights side panel with a verbatim respondent quote.

One 30-minute conversation with a frontline worker, turned into answers your whole team can use. Refreshed every week.

01 · Gather

The data does not exist yet.

The hard part is not analyzing the data. It is creating the data in the first place. Our AI conversation agent runs a fifteen to forty-five minute structured interview with every worker who holds knowledge worth capturing. Three cents per enriched conversation.

02 · Codify

Structured and comparable.

A raw transcript is not a product. We turn every conversation into structured, comparable data, and we track how the floor changes week to week. The answers move as your business moves. You get a living read on what your people know, refreshed every week so it still describes the floor you have today.

03 · Monetize

One system, three payoffs.

Your operators get a weekly read on friction, training gaps, and what is driving people to leave. Your AI agents get grounded, cited answers instead of guesses. And in industries where the advisor drives the sale, your brand partners will pay for a slice of what your floor sees.

Step One · Gather

The Gather. How the data gets made.

Every tier of the workforce. One AI-guided protocol.

Direction, store managers, floor advisors, and franchise partners sit for the same anchor-gated, neutrality-protected interview. Voice in the back office, cellphone between shifts. Same schema across thirty-five markets. Ten typed dimensions out the other side. Three cents per enriched conversation.

GATHER. Two divisions, six staff members, captured via voice and cellphone into a 30-minute AI interview.
Step Two · Codify

The Codify · ten dimensions

What your people know, codified for every decision your teams and agents make.

№DimensionTen typed dimensions · weekly refresh · bi-temporal
01AI-readinessPer worker and per task. Where agent assist helps, where it is rejected.
02Brand-perception mapAffect, use-case, and substitution graph for every brand named.
03Competitor mentionsEvery competitor named, the context, the outcome of the customer comparison.
04Customer-segment behaviorHow segments diverge in what they ask for, what they reject, and when they return.
05Market signalsLeading indicators visible at the counter weeks before the dashboard catches up.
06Opportunity scoringUnmet customer demand visible from the counter, ranked by addressability.
07Pain pointsRecurring frictions on the floor, scored by frequency and severity.
08Regulatory and compliance riskEdge cases the floor encounters before the compliance team is notified.
09Retention driversWhat keeps a great worker, and what would make them leave or refer a peer.
10Training gapsSpecific skills the worker lacks, mapped to current training catalog coverage.
Step Three · Monetize

The Distribution · one layer, three endpoints

One layer. Three endpoints. A new revenue line.

The same Intelligence Layer feeds an internal dashboard for your operators, a typed API for the brand partners on your shelf, and a retrieval feed for the AI agents that act on the floor. Every tenant reads its own slice. Every fact carries a citation back to the conversation it came from. Priced as infrastructure.Three reads of one layer. Internal dashboards for your teams. A typed API for brand partners. A retrieval feed for AI agents on the floor. Every tenant sees only its slice. Every fact cites the conversation it came from. Priced as infrastructure.

MONETIZE. One Intelligence Layer distributed to internal dashboard, brand-partner API, and AI-agent retrieval feed.
Conclusion

The Outcome · three P&L surfaces

Internal savings. Agent capacity. A new revenue line.

Endpoint 01 · Internal Dashboard

Internal savings.

The layer your COO opens on Monday morning. Friction surfaced, training gaps named, retention drivers ranked. Decisions stop costing what hidden knowledge cost.

$ saved · weekly trend
Endpoint 02 · Agent Feed

Capacity multiplier for AI agents.

Token-efficient retrieval context for the agents acting on behalf of customers, workers, and partners. Typed, cited, segment-scoped. Grounded calls per agent climb.

Grounded calls / agent
Endpoint 03 · Brand-Partner API

New business revenue.

A typed API for the brand partners on your shelf. Their data product, your second revenue line. Priced per partner, per market, per refresh.

ARR · partner-licensed

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