AI/ML Development with Secure, Automated, and Scalable Solutions

At Mobiloitte, our AI/ML development services transform data and ideas into intelligent systems that grow with your business. We deliver clear architectures, defined toolchains, and measurable outcomes through every project phase. Our experts integrate IAM, VAPT, CI/CD, and MLOps to ensure each solution is secure, efficient, and production-ready. Begin with a focused two-week discovery sprint to refine your project scope, identify risks, and shape accurate estimates, setting a strong foundation for innovation and long-term success.

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Discovery & Analysis

Architecture & Design

Build & Deploy

Security-by-Design

Our Esteemed Clients

Trusted by Innovators, Start Ups & Industry Leaders in AI/ML

From task management to healthcare solutions, we design, build, and scale high performing AI/ML applications that ship fast, look beautiful, and grow with your business. With nearly 20 years of AI expertise, our teams bring robust algorithms, clean architecture, and MLOps discipline to every release.

Robo Mitra

Swift, Python

Robo Mitra AI powered task management application built with Swift, Python, and PyTorch, providing intelligent scheduling, productivity insights, and automated workflow optimization for enhanced efficiency.

eKincare

Python

eKincare AI powered healthcare management platform built with Python, providing intelligent health monitoring, predictive analytics, and personalized healthcare solutions for improved patient outcomes.

IndicChain

React

IndicChain Advanced AI powered diet planning and nutrition management platform built with React, offering personalized meal recommendations, nutritional analysis, and health tracking for optimal wellness.

Robo Mitra

Swift, Python

eKincare

Python

IndicChain

React

From discovery to deployment, we deliver comprehensive AI/ML solutions with clear outcomes and measurable results.

What You Get: Complete AI/ML Solutions

Discovery & Analysis , Comprehensive analysis of your data, requirements, and business objectives to define the optimal AI/ML strategy.

Architecture & Design , Reference architectures and system design optimized for scalability, performance, and maintainability.

Build & Deploy , End to end development with automated CI/CD pipelines, MLOps practices, and production-ready deployment.

Security & Compliance , Security by design approach with threat modeling, IAM, VAPT, and comprehensive audit logging.

Discovery Sprint Process

A systematic approach to delivering exceptional digital solutions

Analysis

Deep dive into requirements, existing systems, and technical constraints.

Planning

Architecture design, technology selection, and implementation roadmap.

Scope Definition

Clear deliverables, timelines, and success metrics definition.

Implementation Ready

Finalized scope, risks, and estimates for development phase.

Tools & Frameworks

Cutting-edge technologies and frameworks powering modern digital solutions

Machine Learning

TensorFlow, PyTorch, Scikit learn, XGBoost for building intelligent systems that learn from data.

Predictive Analytics
Recommendation Systems
Pattern Recognition
Anomaly Detection

Security & Compliance

Security by design with clear controls and industry compliance across your AI/ML stack.

Threat Modeling

We evaluate data flows, model attack surfaces, and third‑party integrations, then map risks to controls and design guardrails. Findings are prioritized with clear owners and timelines so fixes ship quickly. You get a living threat model that stays aligned with feature changes.

IAM & Access Control

Role based policies segment access to data, models, and pipelines across environments. SSO and MFA are enforced with auditable trails for admin and runtime actions. Least‑privilege defaults and periodic reviews keep permissions lean and safe.

VAPT & Auditing

We run scheduled vulnerability scans and targeted pen tests across code, infra, and MLOps tooling. Reports include reproducible findings, severity, and concrete remediation steps. Compliance evidence is packaged for SOC 2/ISO and internal audits.

Learn More About Security

Client Testimonials

What our clients say about ourour

"I came to Mobiloitte with an idea for a chatbot that could understand customer intent, not just spit out canned responses. They absolutely nailed it. Their ML engineers built a natural language model that feels human it learns from customer interactions and gets smarter with every conversation. The integration with our Shopify backend was flawless. These guys understand both AI theory and business use cases."

Daniel Reed

AI Powered Chatbot for E Commerce Platform

United States

"Our fintech platform needed an AI system that could predict credit risk in real time. The Mobiloitte team built a model using historical transaction data and fine tuned it until the accuracy hit over 92%. They were patient, transparent, and deeply knowledgeable about data science. It's like working with a partner who's as invested in your success as you are."

William Turner

Financial Risk Scoring using Machine Learning

United Kingdom

"The Mobiloitte AI team helped us automate our property valuation process. They built a custom algorithm that analyzes area data, market trends, and amenities to predict accurate pricing. Within two months of deployment, we saw a major reduction in manual errors. Their understanding of data modeling and real world usability was spot on."

Hamad Al Mansoori

AI Powered Real Estate Valuation Tool

United Arab Emirates

"This was a technically demanding NLP project. The Mobiloitte AI team designed the architecture from scratch, created the language models, and fine tuned them for contextual understanding. They stayed patient through multiple test rounds, and the results were excellent the system understands Hinglish (Hindi to English mix) beautifully."

Naman Khanijou

Natural Language Processing for Voice Assistant

India

"Our fintech app needed an AI driven recommendation system for investment portfolios. Mobiloitte delivered an elegant solution that balances risk and user preferences. The system's recommendations feel genuinely personalized. The team was professional, fast, and data obsessed in the best way possible."

Jason Tan

AI Recommendation Engine for Fintech App

Singapore

"Our banking product needed an AI layer to detect suspicious transactions. Mobiloitte's team developed a deep learning model that flags anomalies in real time. Since launch, fraud incidents have dropped significantly. They understand AI, but more importantly, they understand risk and that makes all the difference."

Andre Engelbrecht

AI Powered Fraud Detection for Digital Banking

Africa (South Africa & Region)

Frequently Asked Questions

What AI and ML development services does Mobiloitte offer?

Mobiloitte delivers end-to-end AI/ML solutions spanning discovery, data strategy, model design, development, QA, and deployment—integrated with cloud and DevOps pipelines for scalable automation.

Does Mobiloitte implement MLOps and CI/CD for AI projects?

Yes. We deliver full MLOps integration with automated pipelines, model versioning, testing, and DevOps quality gates backed by real-time monitoring for continuous delivery.

How does Mobiloitte ensure security in AI development?

Security is embedded from the start through IAM, threat modeling, encryption, and VAPT to protect data pipelines, models, and infrastructure.

What engagement and pricing models are available?

We offer fixed-scope, time-and-materials, and hybrid models, aligning commercial structure with project size, complexity, and integration needs.

How does Mobiloitte manage project documentation and handover?

We provide architecture diagrams, data pipeline blueprints, model specs, runbooks, and user manuals to ensure seamless handover and operational independence.

How are project timelines and budgets estimated?

We analyze data scale, model complexity, and integration scope before presenting transparent, milestone-based estimates.

Which AI frameworks and tools does Mobiloitte use?

We work with TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow, and cloud platforms such as AWS, Azure, and GCP to tailor the best stack for each environment.

Can Mobiloitte collaborate with internal data science teams?

Absolutely. We support staff augmentation and hybrid delivery so our AI engineers can co-build, mentor, and accelerate your in-house AI/ML capabilities.

Does Mobiloitte sign NDAs and project agreements?

Yes. Every engagement includes NDAs, MSAs, and SOWs customized to safeguard IP, data, and compliance requirements.

What KPIs or SLAs does Mobiloitte commit to for AI projects?

KPIs track model accuracy, uptime, response times, and data-processing speed, while SLAs define support windows and quality benchmarks for continuous improvement.

Does Mobiloitte offer post-launch AI support and monitoring?

Yes. Our managed services include 24/7 monitoring, drift detection, model retraining, and performance tuning powered by AI automation.

Can Mobiloitte rescue or optimize underperforming AI/ML projects?

Definitely. We perform technical assessments, retrain models, stabilize pipelines, and rebuild automation frameworks to improve accuracy, performance, and reliability.

AI/ML Development with Secure, Automated, and Scalable Solutions

Our Esteemed Clients

Robo Mitra

eKincare

IndicChain

Robo Mitra

eKincare

IndicChain

What You Get: Complete AI/ML Solutions

Discovery Sprint Process

Analysis

Planning

Scope Definition

Implementation Ready

Tools & Frameworks

Machine Learning

Security & Compliance

Threat Modeling

IAM & Access Control

VAPT & Auditing

Client Testimonials

What our clients say about ourour |

Daniel Reed

William Turner

Hamad Al Mansoori

Naman Khanijou

Jason Tan

Andre Engelbrecht

Frequently Asked Questions

What AI and ML development services does Mobiloitte offer?

Does Mobiloitte implement MLOps and CI/CD for AI projects?

How does Mobiloitte ensure security in AI development?

What engagement and pricing models are available?

How does Mobiloitte manage project documentation and handover?

How are project timelines and budgets estimated?

Which AI frameworks and tools does Mobiloitte use?

Can Mobiloitte collaborate with internal data science teams?

Does Mobiloitte sign NDAs and project agreements?

What KPIs or SLAs does Mobiloitte commit to for AI projects?

Does Mobiloitte offer post-launch AI support and monitoring?

Can Mobiloitte rescue or optimize underperforming AI/ML projects?

Ready to Transform Your Business with AI/ML?

What our clients say about ourour