AI/ML Development · DIGICODX

Build intelligent products that learn and grow with your business.

From smart recommendation engines to predictive analytics, we design AI/ML solutions that automate decisions, reduce manual effort, and unlock hidden revenue opportunities for your brand.

Machine Learning Models
Generative AI & Chatbots
Predictive Analytics
Computer Vision
AI-Driven Campaign Uplift
+47%
Average conversion improvement
Projects Delivered
120+
AI/ML solutions across industries
Time-to-Insight
3–6 Weeks
For first production-ready models
Customer Retention
92%
Long-term AI partnerships
Why AI/ML with DIGICODX

We connect data, intelligence & growth.

Our team blends data science, engineering, and product thinking to design AI/ML solutions that are not just accurate in experiments, but reliable in real business environments with real users.

From idea to production-ready AI

Whether you’re just starting with AI or scaling existing models, we help you identify the right use cases, choose the right architecture, and ship production-ready models that are fast, explainable, and aligned with your KPIs.

We don’t just build models — we design complete AI journeys including data pipelines, monitoring, continuous learning, and integration with your apps, dashboards, and workflows.

Use-case discovery POC & MVP Full-scale rollout MLOps & monitoring

AI capabilities we deliver

We combine classic machine learning, modern deep learning and generative AI to deliver end-to-end solutions tailored to your data and domain.

Recommendation Engines Lead Scoring Models Churn Prediction Demand Forecasting NLP & Chatbots Image / Video Analysis Fraud Detection

Every engagement is backed by transparent metrics and dashboards — so your leadership can clearly see the ROI of AI and make informed decisions on scaling.

AI/ML Services

Pick the intelligence layer your business needs now.

One AI/ML foundation, multiple outcomes — from smarter decisions and automation to richer customer experiences. Explore our core service tracks below.

AI Use Cases
AI Use Cases
Data-driven forecasting

Predict customer behaviour, revenue & risk with confidence.

We design forecasting and scoring models that help you answer practical questions: who will churn, who will buy again, which campaigns will work, and where you are likely to lose money — before it happens.

  • Lead & customer scoring for sales and remarketing journeys.
  • Demand forecasting for inventory, pricing and operations planning.
  • Risk and fraud models for finance, lending and high-value transactions.
  • Executive dashboards with clear, action-linked AI insights.
Conversational AI & content

Deploy AI assistants that understand your business language.

We fine-tune and orchestrate large language models (LLMs) to build AI agents, chatbots and content workflows that speak like your brand and follow your internal processes.

  • AI chatbots for support, FAQs, lead qualification and appointment booking.
  • Internal knowledge-base assistants trained on your documents and SOPs.
  • Content drafting for blogs, ad copies, product descriptions and email flows.
  • Human-in-the-loop review pipelines to keep AI outputs safe and on-brand.
Vision & automation

Turn images & videos into actionable signals.

From quality checks to digital KYC, our computer vision solutions understand images and videos in real time so your operations become faster, safer and more scalable.

  • Image classification and defect detection for manufacturing and logistics.
  • Face / ID verification flows for onboarding and KYC journeys.
  • Document understanding: invoices, forms, bills and medical records.
  • Custom models tailored to your exact data and privacy requirements.
Built for real-world teams

Features that make AI usable, not just impressive.

We focus as much on the experience around AI as the models themselves — access, governance, performance, and how easily your team can adopt and trust the system.

🧱
Modular architecture
Models, APIs and dashboards are designed as modular blocks so you can start small and expand later without rebuilding everything.
📈
Explainable outputs
Clear confidence scores, key drivers and reasons behind predictions — so your team trusts the AI instead of guessing how it works.
🔄
Continuous learning
Feedback loops and retraining pipelines keep your models updated with fresh data, improving accuracy over time.
🛡️
Security & compliance
Secure data handling, role-based access, and deployment options aligned with your infra and compliance needs.
⚙️
MLOps ready
Monitoring, logging and versioning baked in, so you always know which model is running and how it’s performing.
🌐
Multi-platform integration
Integrates with your CRM, ads platforms, analytics tools, mobile & web apps through clean REST APIs or webhooks.
🧪
A/B experiment mindset
Every AI feature is shipped with experiments and control groups to isolate the real lift generated by the model.
🤝
Co-creation workshops
We work closely with your product, marketing and operations teams to make sure the AI matches real daily workflows.
Industry Use Cases

AI that speaks your sector’s language.

We don’t force generic models into your business. We adapt AI to your domain — using your data, signals and success metrics.

Where we’ve deployed AI/ML successfully

From high-growth startups to established enterprises, we’ve implemented AI/ML systems that power everyday operations and strategic decisions.

E-commerce · Next-best offer FinTech · Credit & fraud scoring Healthcare · Appointment & no-show prediction EdTech · Personalized learning journeys Real Estate · Lead quality scoring Logistics · Route & delay prediction
AI Use Case Map
How we work

A clear, low-risk roadmap to AI adoption.

No black-box magic, no vague promises. Just a structured, data-backed process that moves from discovery to measurable impact.

01
Discovery & KPI mapping
We start by understanding your business goals, existing data, tech stack and current bottlenecks to shortlist high-ROI AI use cases.
02
Data audit & preparation
We evaluate data quality, build clean pipelines, and engineer the right features so your models have a strong foundation.
03
Model design & validation
Multiple models are trained, benchmarked and validated on real scenarios — not just lab scores — to ensure stability and relevance.
04
Deployment & iteration
Once deployed, we monitor performance, add guardrails, and continue to improve the model using fresh data and feedback.

Ready to add an AI layer to your business?

Tell us about your product, data and goals — and we’ll help you identify the quickest path to a live AI/ML use case that actually moves the metrics you care about.

No lock-in, no fluff — just an honest view of what AI can do for your brand today.

🚀 Let's Scale Your Business

Fill in your details and our AI/ML experts will contact you within 30 minutes.