Generative AI development

Generative AI features that hold up in production

LLM features, retrieval-augmented chatbots and bilingual voice agents, built into products that are already live. We handle evaluation, data residency and the unglamorous plumbing that makes AI features dependable.

OpenAI, Anthropic and open-weight models
Retrieval over your own data (RAG)
Bilingual English and Arabic voice agents
No training on your data; in-region storage
EN / AR
Bilingual voice AI in production (VoxReception)
RAG
Chatbots grounded in your own documents, with citations
2026
Re-architected a live AI education platform (Thotis IA)

Our Generative AI Services

Comprehensive generative AI development services to transform your business with cutting-edge technology

GPT Integration

Seamlessly integrate GPT-4, GPT-3.5, and other OpenAI models into your applications

  • API Integration
  • Custom Prompts
  • Response Optimization
  • Cost Management

Custom LLM Development

Build and fine-tune custom large language models tailored to your business needs

  • Model Training
  • Fine-tuning
  • Domain Expertise
  • Performance Optimization

AI Chatbot Development

Create intelligent chatbots and virtual assistants powered by generative AI

  • Natural Conversations
  • Multi-language Support
  • Context Awareness
  • 24/7 Availability

Content Generation

Automate content creation with AI-powered writing and generation tools

  • Article Writing
  • Product Descriptions
  • Email Templates
  • Social Media Posts

Code Generation AI

Accelerate development with AI-powered code generation and assistance

  • Code Completion
  • Bug Detection
  • Documentation
  • Code Review

AI Data Analysis

Extract insights from data using generative AI and natural language queries

  • Data Querying
  • Insight Generation
  • Report Automation
  • Visualization

AI Model Deployment

Deploy and scale your AI models with enterprise-grade infrastructure

  • Cloud Deployment
  • Auto-scaling
  • Monitoring
  • Security

AI Workflow Automation

Streamline business processes with intelligent AI-powered automation

  • Process Automation
  • Task Orchestration
  • Integration Hub
  • Analytics

Where we apply Generative AI

Applications we have built or actively build. Each card lists what the work involves, not a promised percentage.

Hospitality & SMBs

Voice reception (VoxReception)

A bilingual English and Arabic voice agent that answers calls, routes them, books and follows up, so fewer calls are missed.

What it involves:

Telephony integration
LLM dialogue with hand-off rules
CRM and calendar actions
Call data stored in India
Education

Persona-led AI tutors (Thotis IA)

A live education platform re-architected from 13 separate agents into a persona-led catalogue with real-time voice.

What it involves:

Persona and category catalogue
Retrieval over course content
LiveKit voice sessions
Automated QA suite
Publishing

AI-readable structured content (La Cuisine de Bernard)

Years of recipes remodelled into structured content that editors, search engines and AI systems can all read.

What it involves:

Content model redesign
DeepL-assisted translation workflow
Structured data for search and AI
Near-zero-downtime launch
Enterprise

Private knowledge chatbots

Assistants that answer from your documents with citations and know when to escalate to a person.

What it involves:

Ingestion pipelines
Citations on every answer
Access control per document
In-region or self-hosted options
Operations

Document and workflow automation

Extraction, classification and drafting with a human review step before anything is committed.

What it involves:

LLM extraction with confidence scores
Queue-based processing (BullMQ)
Review queues
Audit trail
Product teams

AI features inside existing apps

Summaries, search and assistants added to live products without destabilising them.

What it involves:

Feature flags and staged rollout
Prompt regression tests
Cost and latency budgets
Usage analytics

Have an AI feature that needs to become dependable?

Bring the prototype, the data and the constraints. We will tell you what it takes to run it in production.

Schedule a Consultation

Our AI Stack

Providers and tools we have used in production. We pick per project and write down why.

Model providers

OOpenAI
AAnthropic Claude
GGoogle Gemini
MMeta Llama
MMistral

Orchestration & frameworks

LLangChain
LLlamaIndex
LLangflow
CChatbase
HHugging Face

Retrieval & data

PPostgreSQL + pgvector
MMongoDB
PPinecone
QQdrant
RRedis

Voice, infrastructure & delivery

LLiveKit
AAWS Bedrock
AAWS Lambda
BBullMQ
PPlaywright (automated QA)

Why Inzint for generative AI work

We build AI features the way we build everything else: with tests, documentation and a weekly demo, inside products people already depend on.

  • Generative AI already running in live products: VoxReception and Thotis IA
  • Evaluation, guardrails and automated QA before every release
  • Your data stays yours: no model training on customer data, in-region storage
  • Weekly demos and written architecture decisions
  • Founder-led squads that also build the surrounding web, mobile and cloud
FAQS

Frequently Asked Questions

Straight answers about how we work, what we build, what it costs and what happens after launch

Still Have Questions?

Ask us directly. A founder replies within one business day.

1 day
Reply to every inquiry (business days)
2–4 h
Critical issues acknowledged
30 days
Warranty after delivery
Weekly
Demos during delivery