A Bluelight Software company
Commerce,encodedasintelligence.
Conestia is the AI-native commerce platform for jewelry, fashion and luxury retail — where every product is a vector, every customer is a vector, and every interaction (online, in boutique, or live with an advisor) feeds the same governed system. With Tandem, we turn high-consideration purchases into shared moments, not solo checkouts.
Intelligent
Catalogs that think geometrically.
Every product becomes a CLIP embedding. Every customer becomes a vector capturing style, occasion and price affinity. Recommendations stop being collaborative-filter guesses and start being similarity in style-space — the way a senior shop assistant would recommend, scaled across a million sessions.
Integrated
One platform. Every brand. Every channel.
Conestia is multi-tenant by architecture, not by configuration. Six brands run on one deployment with isolated data and shared intelligence. POS, e-commerce, events and Tandem sessions all feed the same governed customer profile — so the person who buys at one store and browses online is the same person, by design.
Platform
A commerce stack designed for high-consideration purchases.
The fragmented stack — Shopify plus a recommendation SaaS plus a CDP plus a clienteling tool plus Jira plus BI plus glue — is what most retailers end up with. Conestia replaces the assembly with one integrated system.
Vector Intelligence
Every product is a CLIP embedding. Every customer is a vector capturing style, price-tier and occasion patterns. Sub-millisecond similarity over Qdrant.
Tandem Co-Shopping
Synchronized state, not screen sharing. AI concierge with full catalog and customer context. Advisor approve/suggest workflow built in.
Omnichannel Profile
POS, e-commerce, events and customer-care all feed one unified vector. The same person across every brand, every touchpoint, every device.
Multi-Brand, Multi-Tenant
Six brands on one deployment. Isolated data, shared intelligence. A customer recognized across Teilor, Janine, Daar and beyond — by architecture, not bolt-on.
Custom Attribute Model
Carat, cut, clarity, metal, setting, ring size, certification. Variant systems built for the categories where appearance drives the purchase decision.
Governed by Renaissance OS
Every change is a governed initiative — KPI gate, quality bar, measured outcome. Auditable, traceable commerce instead of accumulated technical debt.
Featured product · Tandem
Two people.
One purchase.
Synchronized.
Tandem is the co-shopping layer for high-consideration commerce. Not screen sharing — synchronized state. The advisor and the customer see the same catalog, the same configurator, the same price breakdown — each on their own device, each in control of their own actions.
- Synced state, not shared screensEach side keeps their own session. State replication via WebSocket. No bandwidth waste, no privacy mess.
- AI concierge with full contextCatalog, customer profile, brand-tone guardrails. Suggests products the advisor can approve, modify or override.
- Suggest / approve workflowAdvisor never gives up control. AI proposes, advisor curates. The end result is a hand-built selection at machine speed.
- Auditable session recordEvery Tandem session is a governed event in Renaissance OS. Replay, KPI it, learn from it.
Industries
Built for the categories where appearance drives the decision.
Conestia is sharpest where catalog logic breaks down — when a customer walks in saying 'I want something like that, but a little different.'
Jewelry
Carat × cut × clarity × color × stone × setting × metal. The category Conestia was first built for, where vector intelligence finally matches how shoppers actually decide.
Fashion
Visual semantics over keyword search. A customer who pulls Art Deco silhouettes finds them — across season, brand and store.
Luxury Retail
High AOV. High consideration. Long deliberation. Tandem turns the hesitant browser into a guided, advised, completed purchase.
Pre-owned & Pawn
Unique inventory, no SKU repeat. Vector matching does what catalog logic cannot — surface the closest piece to what the customer wanted.
Multi-Brand Groups
Six brands, one customer. Architectural multi-tenancy that makes cross-brand intelligence the default, not a future migration project.
Home & Décor
Where appearance, configuration and room-context matter. Visual similarity, configurator state, and advisor-led specification — unified.
Insights
Notes from the team.
Long-form pieces on commerce architecture, AI in retail, and the boring decisions that make or break a platform.
Why vector intelligence beats keyword catalog for jewelry
Catalog logic asks 'does this row match the filter?'. Vectors ask 'how close is this in style?'. For categories where the customer says 'something like that, but a little different,' those are different products.
The Lighthouse Program: 8 weeks to a measurable proof
We deploy on a single brand, with three pre-agreed KPIs, fully funded. If we don't hit them, you owe nothing. The structural answer to 'nobody gets fired for buying Salesforce.'
GDPR and the EU AI Act, by architecture
Per-tenant isolation. Inference-side data minimization. Vector profiles that store style — not identity. How Conestia keeps customer data sovereign even while AI flows across the platform.
PoweryourcommercewithConestia.
Eight weeks. Three KPIs. One brand. If we don't hit the numbers, you owe nothing. That's the Lighthouse Program — our engagement model for clients who'd rather see proof than read a roadmap.