LLM-Powered Products That
Generate, Summarise & Reason
From content generation and document intelligence to RAG pipelines and multi-modal copilots — we build generative AI features that integrate cleanly with your existing product and data.
60+
GenAI features shipped
4×
Faster content production
85%
Support deflection rate
50ms
Avg. cached response time
Model-agnostic — we work across the full LLM landscape
Frontier Models
Maximum capability for complex reasoning, code generation, and multi-step tasks.
Balanced Models
Strong performance at lower cost and latency — ideal for most production workloads.
Fast & Efficient
Sub-100ms responses for high-volume, latency-sensitive applications.
Where GenAI delivers value
Real applications across every business function
Generative AI isn't one product — it's a capability that transforms how every team works.
Legal & Compliance
Contract review, clause extraction, policy Q&A, and regulatory summarisation at a fraction of the time.
Knowledge Management
Internal search and Q&A over company wikis, runbooks, and documentation — accurate answers with source links.
Customer Support
Deflect repetitive tickets with context-aware answers, auto-draft agent replies, and escalation detection.
Content Creation
On-brand blog posts, ad copy, product descriptions, and social content generated at scale and speed.
Data & Reporting
Natural language queries over structured data — reports, dashboards, and summaries written in plain English.
Developer Tooling
Code generation, review assistance, documentation writing, and test case creation embedded in your dev workflow.
What we build
End-to-end generative AI services
From a single LLM-powered feature to a full document intelligence platform — every layer of the GenAI stack covered.
LLM Application Architecture
We design the full GenAI stack — model selection, prompt layers, retrieval, caching, fallbacks, and cost controls — so your application is fast, reliable, and economical at scale.
RAG Pipelines over Proprietary Data
Retrieval-Augmented Generation pipelines that let LLMs answer questions grounded in your own documents, databases, and knowledge bases — with citations and source attribution built in.
Prompt Engineering & Evaluation
Systematic prompt design, few-shot example curation, and automated evaluation suites that measure quality, consistency, and safety — so you can iterate on prompts like you iterate on code.
Fine-Tuned Models for Brand Voice
Domain-adapted and brand-voice-tuned models that generate content consistent with your style, terminology, and tone — built with RLHF-style preference data from your team.
Conversational AI & Chatbots
Context-aware, multi-turn conversational interfaces that go beyond FAQ bots — handling complex queries, maintaining conversation history, and routing to humans when appropriate.
Document Intelligence
Extract, classify, summarise, and query unstructured documents — contracts, reports, invoices, research papers — turning document silos into structured, searchable knowledge.
AI Copilots & Assistants
Embedded copilot features inside your existing product — drafting, editing, searching, and suggesting within your UI — built with your data and tuned to your users' workflows.
Multi-Modal AI
Applications that reason across text, images, audio, and structured data — vision models for document parsing, image captioning, defect detection, and chart understanding.
Summarisation & Translation
Production-grade summarisation pipelines for long documents, meeting transcripts, and support threads — plus multilingual generation and translation at enterprise scale.
Our approach
How we ship GenAI to production
Proof-of-concept in days, production-hardened in weeks — never the other way around.
Use Case Mapping
Identify the highest-leverage generative workflows — scoring by value, data readiness, and implementation complexity.
Prototype
Rapid proof-of-concept with your real data — demonstrating quality and feasibility before any production investment.
Evaluation
Build automated eval harnesses that score output quality, factual accuracy, and safety against a held-out test set.
Harden
Add safety filters, cost caps, fallback models, rate limiting, and PII redaction before any user sees the output.
Scale & Monitor
Roll out with caching, latency dashboards, cost tracking, and continuous eval so quality holds as usage grows.
Our team
What Makes Mabzone Your
Go-To Generative AI Partner
AI engineers who have shipped LLM features to production — not just run notebooks and called it done.
Technologies
Our GenAI tech stack
Why Mabzone
What sets us apart
- We design for production — not just demos that impress and then break
- Evaluation-first: we measure output quality before claiming anything works
- Model-agnostic — we pick the right LLM for your use case and budget
- Cost and latency engineering built in from the first sprint
- Safety, PII handling, and content filtering treated as requirements, not afterthoughts
Ready to get started?
Ready to add generative AI to your product?
Tell us the use case — we'll have a working prototype in front of you within two weeks, built on your real data.