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quantX
Service vertical 02

AI Services

Enterprise-grade intelligence, deployed.

From AI readiness to live MLOps pipelines. We identify the highest-ROI use cases, prototype fast, and deploy models that move the business metric you care about.

Typical duration

4 – 16 weeks typical

What you get

  • Prioritized AI roadmap tied to measurable ROI
  • Production-deployed models with monitoring
  • Governance, ethics, and compliance baked in

Sub-services

Everything included under AI.

Each sub-service can be engaged as part of a full engagement or scoped independently as a focused sprint.

01AI

AI Strategy Consulting

Turn hype into a concrete plan. We assess readiness, identify use cases, and model ROI before writing a line of code.

  • AI readiness assessment and gap analysis
  • Use-case identification and ROI modeling
  • Data strategy and governance framework
  • AI ethics and compliance advisory
02AI

Machine Learning Solutions

Custom models trained on your data, wired into your workflow — for prediction, classification, and insight.

  • Custom ML model development and training
  • Supervised and unsupervised learning
  • Predictive analytics and forecasting
  • NLP, computer vision, and image recognition
03AI

Generative AI Integration

Production-grade LLM features: chat, search, content, and workflows — with guardrails and evaluation.

  • LLM integration & fine-tuning (GPT, Claude, Gemini)
  • AI-powered chatbots and virtual assistants
  • Retrieval-Augmented Generation (RAG) pipelines
  • Prompt engineering and evaluation
04AI

Intelligent Automation (AI + RPA)

Combine AI with robotic process automation to remove repetitive work and surface anomalies in real time.

  • AI-powered business process automation
  • Document processing and intelligent OCR
  • Workflow orchestration and decision automation
  • Anomaly detection and fraud prevention
05AI

AI Model Deployment & MLOps

Models that live and scale in production with monitoring, versioning, and retraining loops.

  • Cloud or on-premise model deployment
  • MLOps pipelines: monitoring, retraining, versioning
  • API-based model serving and integration
  • Model performance tracking and drift detection

Engagement flow

How a AI engagement runs.

01

Discover

Understand your vision

A deep dive into your business goals, technical context, and success metrics. We leave with a shared definition of done.

02

Design

Architect the experience

Information architecture, tech stack selection, and a detailed implementation roadmap with honest time and budget.

03

Build

Develop and iterate

Agile sprints with weekly demos, automated testing, code reviews, and daily visibility into progress.

04

Launch

Deploy and scale

Production deployment, monitoring, handover, and ongoing optimization support that keeps the product healthy.

Performance

98 / 100

Lighthouse scores as a default, not an aspiration.

Accessibility

WCAG 2.1 AA

Accessible UI baked into every component we ship.

Security

OWASP Top 10

Threat modeling and hardening on every engagement.

Reliability

99.9% uptime

Monitoring, alerting, and incident response on day one.

// Ready when you are

Let’s scope your AI engagement.

Send a brief and we’ll reply within one business day with a scoping call invitation and next steps.