Platform
Architecture, not assembly.
Most retailers end up running a fragmented stack — Shopify plus a recommendation SaaS plus a CDP plus a clienteling tool plus Jira plus BI plus glue. Conestia replaces that assembly with one integrated system, designed from the data model up for high-consideration commerce.
Built around vectors
Every product. Every customer. As geometry.
We encode every product as a CLIP embedding (image + text). Every customer becomes a high-dimensional vector capturing style, price, brand and occasion. Stored in Qdrant with sub-millisecond similarity search. Recommendations, search and Tandem suggestions all derive from one geometric model — not three bolted-on services.
Built for groups
Multi-tenant from the infrastructure up.
Each brand gets isolated data. The platform — engine, model, vector store, governance — is shared. A holding with Teilor, Janine, Daar and three MoneyGold verticals runs on one deployment, with cross-brand customer recognition by architecture. Shopify can't do this. Salesforce can do it across four clouds and seven figures.
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.
Stack
The boring decisions that make the platform serious.
PostgreSQL ODS
Source of truth, ERP-mirroring, no pressure on the production system.
Qdrant Vectors
Style, customer and product vectors. Sub-millisecond k-NN at catalog scale.
Next.js + Node.js
The same stack your other digital initiatives are already on.
LLM-agnostic
Claude, Gemini, GPT — strict JSON output, switchable per workload.
Nixtla forecasting
Open-source models for intermittent and seasonal demand. Owned, not rented.
Tandem WebSocket
Synchronized state, not screen sharing. Per-tenant isolation.
Renaissance OS
Every change is a governed initiative with KPI gates and quality bars.
EU residency
Per-tenant data isolation. Inference-side minimization. AI Act + GDPR aligned.
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.