ORYNTRAVAORYNTRAVA
Technology Product ShowcaseSearch Intelligence APIAI AssistantsAutomation

Intelligent Software Systems & Product Roadmap.

Alongside our bespoke B2B engineering services, ORYNTRAVA develops modular software architectures for search intelligence, private knowledge RAG assistants, and business workflow automation.

Commercially Available Now: Custom Enterprise Implementations

All three architectures below—Search Intelligence pipelines, Custom RAG Assistants, and Business Automation workflows—are commercially available today as tailored engineering deployments integrated directly into your infrastructure.

Currently Under Development: Standalone Self-Serve SaaS Products

Our packaged, self-service multi-tenant SaaS consoles for instant API key provisioning are currently under active internal development and are not yet sold as off-the-shelf self-serve subscriptions.

Enterprise ArchitectureSearch Analytics & CTR Optimization Engine
Status: In Active Development — Early Architecture Access

ORYNTRAVA Search Intelligence API

Query intent analytics, intelligent product ranking, and CTR optimization via API.

An API-first search intelligence engine engineered with DuckDB, Python, and Scikit-learn to help e-commerce storefronts and digital catalogs analyze search behavior, improve product discovery, and dynamically optimize ranking based on click-through performance. Available today via custom engineering integration while our self-serve SaaS API console is under active development.

Core System Capabilities:

  • Real-time & batch Search Query Analytics powered by DuckDB
  • Scikit-learn Intelligent Product Ranking & CTR Optimization models
  • Zero-result query detection & synonym expansion diagnostics
  • REST API integration for existing e-commerce & catalog platforms
Stack: DuckDB · Python · Scikit-learn · REST API
Inquire About Custom Deployment
Architecture Pipeline DiagramDuckDB + Python
Incoming Storefront Query & TelemetryGET /v1/rank?q=inverter+ac+compressor+unit&segment=commercial
DuckDB Query Log & Historical CTR Aggregation
Feature Extraction (Query-SKU Affinity, Conversion Weight, Stock Status)
Scikit-learn Re-Ranking Model Inference
Optimized Ranking Payload

Ranked SKU Array + Dynamic Facet Suggestions + CTR Confidence Score

Architecture PreviewCustom Client Integration Ready
Enterprise ArchitectureConversational AI & Private Knowledge Retrieval
Status: Custom Enterprise Deployment Available · SaaS Platform In Development

AI-Powered Business Assistants (Custom RAG Suite)

Domain-grounded RAG assistants trained on your private business knowledge.

Intelligent AI assistants built with Python, LLMs, LangChain, and Vector Databases that answer customer questions accurately from your proprietary documents, automate routine pre-sales and support conversations, and capture qualified B2B leads. Delivered today as tailored client deployments while our multi-tenant self-service workspace is under development.

Core System Capabilities:

  • Private Knowledge Base ingestion (PDFs, service catalogs, policy docs)
  • Vector Database semantic indexing & LangChain retrieval pipelines
  • Automated conversational lead qualification & structured capture
  • Custom Business Dashboard for transcript review & knowledge updates
Stack: Python · LLMs · LangChain · Vector Databases
Inquire About Custom Deployment
Architecture Pipeline DiagramPython + LLMs
Customer Inquiry in Web Widget"Do you provide annual HVAC chiller maintenance contracts in Dubai?"
Vector Database Similarity Search over Verified Service Catalog
LangChain Context Assembly with Grounding Guardrails
Grounded Response Generation + Lead Qualification Prompt
Verified Assistant Output & Lead Record

Grounded service explanation + Structured Facility Inquiry Capture

Architecture PreviewCustom Client Integration Ready
Enterprise ArchitectureWorkflow Digitalization & Lead Routing Modules
Status: In Active Development — Early Architecture Access

Intelligent Business Automation Suite

Modular automation connectors for lead routing, inquiry triage, and process digitalization.

A suite of intelligent workflow modules connecting high-performance Next.js digital platforms with AI classification, automated inquiry routing, and business reporting dashboards. Currently implemented as custom engineering solutions tailored to each organization’s operational stack, with standardized productized connectors under development.

Core System Capabilities:

  • Automated B2B inquiry classification & priority routing
  • Digital service request intake & validation workflows
  • Cross-system webhook synchronization for CRM & operations
  • Unified operational visibility & reporting interfaces
Stack: Next.js · TypeScript · Python · Webhook Pipelines
Inquire About Custom Deployment
Architecture Pipeline DiagramNext.js + TypeScript
Multi-Channel B2B Service RequestIncoming Web Consultation Form / Chatbot Lead Payload
Schema Validation & Entity Enrichment
AI Intent & Service Division Classification
Automated Notification & CRM Pipeline Dispatch
Operational Outcome

Qualified Lead Record + Instant Specialist Assignment

Architecture PreviewCustom Client Integration Ready

Live Architecture Workbench

Search Intelligence & CTR Optimization Simulator

Test how our DuckDB, Python, and Scikit-learn ranking logic resolves buyer intent compared to naive keyword search.

Interactive Retrieval Comparison: Lexical Keyword vs. ORYNTRAVA Hybrid Search API

Select a domain query below to inspect how query parsing, unit normalization, and Reciprocal Rank Fusion resolve complex B2B search intent.

Buyer Search Input · E-commerce Retail Catalog · DuckDB + Scikit-learn CTR PipelinePOST /v1/search/hybrid
"lightweight waterproof running jacket breathable men"
01 · Query Intent AnalysisDuckDB
Extracted Technical Entities

Category: Running Jacket · Attributes: Waterproof, Breathable, Lightweight · Segment: Men

Taxonomy & Unit Normalization

Waterproof -> Gore-Tex / DWR 10,000mm+ | Lightweight -> < 220g shell

Execution Strategy

DuckDB Query Log Analytics + Scikit-learn CTR Re-Ranking Model

Stage 1: Real-time attribute extraction and query normalization.
02 · Legacy Keyword Baseline

Suboptimal Keyword Ordering (Low Historical CTR)

Standard keyword matching ranks heavy winter parkas or out-of-season items first simply because the word "waterproof" appears twice in the description.

SKU: JKT-HVY-WNT-04Low Relevance

Heavy Insulated Waterproof Winter Work Coat (950g)

Matched "waterproof" and "jacket" — Fails "lightweight running" intent; 1.1% historical CTR.

SKU: ACC-BAG-WTP-02Low Relevance

Lightweight Waterproof Running Waist Pack

Matched 3 keywords — Wrong product category (Accessory instead of Jacket).

Outcome: Buyer encounters irrelevant SKUs or abandons catalog session.
03 · ORYNTRAVA Search API

CTR-Optimized & Intent-Verified Product Ranking

Rank 01 · RUN-AERO-SHL-01BM25: 0.94 · Vec: 0.98

AeroShield 165g Ultralight Waterproof Membrane Running Jacket (Men)

Matches all technical attributes + highest historical query-to-purchase conversion in DuckDB telemetry.

Rank 02 · RUN-STRM-PRO-08BM25: 0.91 · Vec: 0.95

StormPace Breathable Seam-Sealed Trail Running Shell (Men)

Expanded synonym "seam-sealed" to waterproof; boosted by positive click-through velocity.

Outcome: Technical specifications and CTR signals resolve in one request.

Conversational AI Workbench

AI-Powered Custom RAG Assistant Inspector

Inspect how private knowledge base passages are retrieved from Vector Databases and synthesized with LangChain guardrails.

Enterprise RAG Pipeline & Citation Grounding Inspector

Inspect how ORYNTRAVA’s RAG Chatbot Solutions enforce role-based access control (ACL), retrieve verified passages, and bind inline citations.

Pipeline: Python + LangChain + Vector DB · Lead Capture ActiveStrict Citation Mode: Enabled

User Inquiry: "Do your commercial HVAC maintenance contracts cover emergency chiller compressor diagnostics in Dubai?"

Step 1: Permission-Filtered Hybrid Retrieval Passages

[KB-MAINT-SLA-04]Relevance: 0.97

Commercial MEP & HVAC Annual Maintenance Contract (AMC) Guide · Section 2.2 — Emergency Chiller & Cooling Plant Coverage

"Gold and Platinum Commercial AMC tiers include 24/7 emergency dispatch across Dubai and Abu Dhabi for chilled-water systems, compressor fault diagnostics, and refrigerant pressure stabilization with a 2-hour on-site response SLA."

[KB-LEAD-INTAKE-01]Relevance: 0.92

Pre-Sales Qualification Protocol · Facility Scope Collection

"When a prospect inquires about commercial chiller maintenance, confirm facility location, cooling tonnage or number of chillers, and offer to schedule a site engineering inspection."

Step 2: Citation-Bounded Assistant Output

Yes. Under our **Gold and Platinum Commercial Annual Maintenance Contracts (AMC)** [KB-MAINT-SLA-04], we provide 24/7 emergency dispatch across Dubai and Abu Dhabi covering chiller compressor fault diagnostics and chilled-water stabilization with a **2-hour on-site response SLA**. To prepare a tailored AMC proposal or schedule a site inspection, could you share your facility location and the approximate cooling capacity (or number of chiller units)? [KB-LEAD-INTAKE-01]

Automated Verification & Guardrail Audit
  • Private Knowledge Base GroundingVerified (Retrieved from KB-MAINT-SLA-04)
  • Zero Hallucination CheckPassed (SLA terms & coverage regions strictly matched)
  • Automated Lead Capture TriggerActive (Prompted for facility tonnage & contact details)

Need a Custom Deployment of Our Search or RAG Systems?

While our self-service SaaS platforms are under development, our engineering team deploys custom Search Intelligence APIs and RAG Assistants directly for enterprise clients.

Discuss a Custom Implementation