Live POC Demo Available
Conversational AI

Technical Support Assistant

An intelligent AI assistant that provides expert technical support, helps engineers discover products, and guides connector selection decisions — available 24/7.

Proof of Concept for AMPHENOL
Developed By
Trinesis Technologies
Date
June 2026
Type
Working POC

The Opportunity

Transform customer experience with AI-powered technical support

24/7
Availability
<2s
Response Time
130K+
Products
100+
Concurrent Users

What We'll Build

  • Technical Support

    Expert guidance on specs, ratings, materials, applications

  • Product Discovery

    Natural language search across 130K+ products

  • Design Guidance

    Application recommendations, selection criteria

Business Impact

  • Reduced Support Load

    Deflect common technical queries automatically

  • Faster Part Selection

    Reduce search time from minutes to seconds

  • Improved Discovery

    Help customers find products they didn't know existed

Multi-Agent Architecture

How specialized AI agents process queries across 130K+ products

USER QUERY "Find me a 1mm pitch connector with 20 contacts for automotive"

Orchestrator Agent

Waiting...

Real-Time Data Manager

Idle

Products: 130,000

Product Search Agent

Idle

Technical Expert Agent

Idle

QC Validation Agent

Standby

0%

Response Generation

Waiting

0.00s

Use Cases

How engineers and buyers interact with the Technical Support Assistant

01

Technical Support

"What current rating do I need for automotive applications?" "Which material is better for high temperature - LCP or PA66?"

02

Application Guidance

"I'm designing for -40°C environment, what should I consider?" "Best connector for high-vibration industrial use?"

03

Product Discovery

"Find me a 1mm pitch connector with 20 contacts for automotive" "Show vertical headers with 3A current rating"

04

Comparison & Selection

"Compare 1mm vs 1.25mm pitch - which should I use?" "Explain SMT vs through-hole mounting trade-offs"

Working POC Demo

Not just a mockup — a fully functional Technical Support Assistant

LLM
AI Powered
567
FitMate Products
Multi-Turn
Context Memory
Expert
Domain Knowledge

Natural Language AI

Ask questions in plain English, get expert answers

Technical Expertise

Specs, materials, applications, design guidance

Smart Product Search

Find connectors by pitch, contacts, application

Conversation Memory

Remembers context for follow-up questions

Launch Live Demo

Experience the working Technical Support Assistant

Path to Production

From working POC to enterprise deployment

Working POC CURRENT

LLM + 567 products

1

Scale Infrastructure

Vector DB, multi-agent

2

Full Data Integration

130K products, PIMS sync

3

Go-Live

Widget embed, testing

Vector Database

Semantic search at scale

Multi-Agent System

Accuracy & speed

PIMS Data Sync

Real-time updates

Website Widget

Embeddable + API

Scale Comparison

ScaleProductsResponse
POC567~3s
Production130,000+<2s

Production Features

100+ Users Auto-Scale Global CDN Enterprise Security

Technology Stack

Enterprise-grade components for the production solution

Core Components

ComponentTechnologyPurpose
AI EngineLarge Language ModelNatural language
Vector DBPinecone / WeaviateSemantic search
AgentsCustom Multi-AgentOrchestration
BackendPython FastAPIREST API
WidgetReact ComponentsEmbeddable UI

Why Multi-Agent?

BenefitDescription
AccuracyReduces errors & hallucinations
ScalabilityParallel processing
QualityDedicated QC validation
MaintainabilityUpdate agents independently
TraceabilityClear audit trail

Data Synchronization

Initial Load
Bulk import from PIMS
Daily Sync
Incremental updates
Real-time
Webhook integration
CMS Content
Periodic crawl

Integration

Simple embed with customization options

Website Integration

Single script tag embed:

<!-- Amphenol AI Chatbot -->
<script src="https://chat.amphenol.com/widget.js"></script>
<script>
  AmphenolChat.init({
    position: 'bottom-right',
    primaryColor: '#0066B3',
    greeting: 'How can I help?'
  });
</script>

Deployment

ComponentLocation
AI BackendAmphenol AWS Account
Vector DBManaged cloud (Pinecone)
Widget AssetsCDN (CloudFront)
AnalyticsIntegrated dashboard

Technical Questions

  1. What is the website's technology stack?
  2. Is there an existing chat/support widget?
  3. Any Content Security Policy (CSP) restrictions?
  4. Can we get staging environment access?
  5. Is IP whitelisting available for CMS scraping?

Business Questions

  1. Available on all pages or specific sections?
  2. Any branding guidelines for widget?
  3. Integrate with CRM/support systems?
  4. What languages should be supported?
  5. Any compliance requirements (GDPR)?

Security & Compliance

Enterprise-grade data protection and privacy

Data Security

  • Your Infrastructure

    Deployed on Amphenol's AWS account — data never leaves your environment

  • Encryption

    TLS 1.3 in transit, AES-256 at rest for all data

  • API Security

    Rate limiting, authentication tokens, IP whitelisting

Privacy & Compliance

  • No PII Collection

    Chatbot works without collecting personal information

  • GDPR Ready

    Compliant architecture with data retention controls

  • Audit Logging

    Complete audit trail of all interactions

AI Safety Guardrails

No Hallucinations
Grounded to product data only
Source Citations
Every answer traceable
Content Filtering
Stays on-topic always

Next Steps

From POC to production

Immediate Actions

ActionOwnerWhen
Review working POCAmphenolThis week
Provide feedbackTeamThis week
Technical discussionBothNext week
Finalize scopeBothDuring discussion

Path to Production

  1. Working POC with LLM delivered
  2. Review and approve direction
  3. Scale to 130K products (Vector DB)
  4. Implement multi-agent architecture
  5. Deploy on Amphenol website

Ready to Build?

Trinesis Technologies

Avinash Mallik

avinash@trinesis.com

AMPHENOL
Trinesis

Conversational AI POC

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