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mabzone
AI Solutions

AI that works in production,not just in demos

We architect complete AI systems — LLMs, RAG pipelines, agents, computer vision, and more — with evaluation harnesses, guardrails, cost controls, and monitoring built in from sprint one.

40+
AI Models Integrated
200+
AI Projects Delivered
7+
Years in AI/ML
99.9%
Production Uptime

Our Services

AI capabilities

Full stack, process, tech choices, compliance, and FAQs for every AI discipline we deliver.

01

LLM Integration

Embed large language models into your product with the right balance of cost, latency, and quality.

  • Model routing & fallback strategies
  • Token cost optimization
  • Streaming response handling
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02

Chatbots

Conversational interfaces that resolve real requests, not just FAQ lookups.

  • Multi-turn conversation design
  • Escalation to human agents
  • Channel-agnostic deployment
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03

RAG Systems

Ground model responses in your proprietary data with retrieval-augmented generation.

  • Document chunking & embedding pipelines
  • Hybrid search (semantic + keyword)
  • Source citation & traceability
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04

Computer Vision

Visual inspection, detection, and classification systems for physical and digital workflows.

  • Object detection & defect classification
  • OCR & document understanding
  • Real-time video analysis
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05

AI Automation

Automate multi-step operational workflows with AI making the routing decisions.

  • Document processing pipelines
  • Approval & exception routing
  • End-to-end task orchestration
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06

Recommendation Engines

Personalization systems that increase engagement without feeling intrusive.

  • Collaborative & content-based filtering
  • Real-time personalization
  • A/B-tested ranking models
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Our Process

How we deliver AI

A 6-step process that takes you from raw data and a business objective to a monitored, production AI system.

01

Discovery & Data Audit

We assess your data assets, business objectives, and technical constraints before writing a line of code.

02

Architecture Design

We design the right system — choosing models, infrastructure, and evaluation strategy for your use case.

03

Build & Fine-Tune

We build pipelines, fine-tune models where needed, and run rigorous offline evaluations.

04

Integrate & Test

We wire the AI system into your existing product, APIs, and data flows with thorough integration testing.

05

Production Deployment

We deploy with monitoring, guardrails, alerting, and cost controls from day one.

06

Continuous Improvement

We track drift, update models, and improve accuracy as your data and usage evolve.

Technology

Our AI technology stack

Model-agnostic and cloud-agnostic — we pick the right tool for your use case and scale.

Foundation Models

OpenAI GPT-4oClaude 3.5Gemini 2.0LLaMA 3.3MistralQwen

Vector & Search

PineconeWeaviatepgvectorQdrantElasticsearchRedis

ML Frameworks

LangChainLlamaIndexHuggingFacePyTorchscikit-learnTensorFlow

Cloud AI

AWS SageMakerAzure AI StudioGCP Vertex AIBedrockLambdaCloud Run

Why Us

AI built to last in production

Most AI demos don't survive contact with real users. We build systems that do.

Production-First

Guardrails, content filters, rate limits, and audit logging are standard — not optional add-ons.

Cost-Optimized

Model routing, prompt compression, and response caching keep inference costs predictable at scale.

Fast to Deploy

Pre-built evaluation harnesses and deployment patterns mean we ship production AI in weeks, not quarters.

Continuously Monitored

Real-time dashboards track accuracy, latency, cost, and hallucination rates so you always know what's happening.

Let's Build Together

Ready to add AI to your product?

Let's scope the right capability and timeline together — no commitment required.