            
            Semantic API for intent-led discovery
          

Intelligent search that anticipates intent

Integrate fast, context-aware discovery across your platform with Nexus’s semantic API. Turn fragments, typos, behavior, and catalog context into precise answers.

Start building See the journey

Live intent trace

                query.input
                18 ms
              

“warm trail jacket waterproof”

Intent

92%

Outdoor utility

Lift

4.8×

Discovery depth

AeroShell Rain Field Jacket

Matched: membrane, warmth, trail

0.98

Northline Thermal Anorak

Matched: insulated, windproof

0.94

Trusted by search-heavy teams

Built for serious discovery surfaces.

Used across marketplaces, knowledge bases, product catalogs, and internal AI systems.

01 / Story

Search stopped being a box. We built for the moment after the query.

Nexus began as an internal discovery layer for catalogs that were too nuanced for keyword search and too dynamic for static recommendations. Our belief is simple: every search is a signal of context, constraint, preference, and momentum.

Parse language, behavior, and catalog structure together.

Predict intent before a shopper fully articulates it.

Return answers that feel curated, not merely ranked.

02 / Bento system

Everything your discovery layer needs to think clearly.

A modular stack for semantic retrieval, ranking, personalization, analytics, and continuous improvement.

Server infrastructure powering intelligent discovery

Intent radar

Identify inferred needs from partial phrases, spelling drift, and behavioral signals.

Adaptive ranking

Blend relevance, margin, availability, freshness, and user affinity.

Guardrailed APIs

Deploy explainable search behavior with measurable controls and audit trails.

Median latency

24ms

Global edge retrieval with query planning and vector cache.

03 / Capabilities

Concrete gains, not abstract AI.

Nexus is designed to slot into production systems without forcing your product team to rebuild the entire search experience.

Faster paths to result

Reduce dead-end queries and convert ambiguous searches into usable result sets.

Context-aware facets

Generate filters that match user intent instead of exposing rigid taxonomy.

Natural query expansion

Map everyday language to domain-specific attributes, SKUs, and metadata.

Learning loop analytics

See what users meant, where ranking failed, and which fixes compound.

04 / Journey

From query chaos to compounding relevance.

Connect

Sync catalog, content, logs, and ranking rules through secure ingestion.

Understand

Build domain embeddings and map messy language to structured meaning.

Launch

Serve search, recommendations, and answer modules from one API.

Improve

Observe intent gaps, tune weights, and ship measurable ranking updates.

05 / Scroll story

A product layer that reveals itself with every signal.

The search interface evolves from literal query matching to intent detection, contextual ranking, and guided discovery.

Stage 01

Literal query

Capture the raw phrase and the immediate retrieval universe.

Stage 02

Semantic expansion

Understand synonyms, adjacent needs, and attribute-level meaning.

Stage 03

Anticipated answer

Return a ranked, guided result that feels one step ahead.

06 / Gallery

Interfaces shaped around intent.

Examples of search, merchandising, analytics, and assistant surfaces powered by Nexus.

07 / Inclusions

What ships with the platform.

Every plan includes the core primitives required to launch and maintain high-quality discovery.

Hybrid keyword and vector retrieval
Realtime catalog enrichment
A/B testing and rank experiments
Observability for zero-result paths
Personalization controls
Private deployment options

08 / About

A compact team for very large search problems.

We are retrieval engineers, product designers, infrastructure builders, and search relevance specialists. Nexus combines the precision of ranking systems with the adaptability of modern language models.