5,000+ Projects Delivered70+ Countries Served18+ Years of Excellence100+ Awards Winning Solutions6 Worldwide Offices550+ Enterprise AI Deployments95% Client Satisfaction5,000+ Projects Delivered70+ Countries Served18+ Years of Excellence100+ Awards Winning Solutions6 Worldwide Offices550+ Enterprise AI Deployments95% Client Satisfaction
AI Product Engineering Studio
AI Engineering & Product Layer

Build AI-First Products That Scale From Day One

From ideation to AI architecture, engineering, deployment, and MLOps — Mobiloitte builds intelligent, scalable, enterprise-grade AI products and platforms.

Engagement Models

Choose how you engage with Mobiloitte

Full AI product development

Dedicated AI engineering squad

CTO-as-a-Service

AI product prototype/MVP

MLOps & continuous improvement retainer

Why Mobiloitte

Full-stack AI product engineering expertise

550+ AI deployments

Full-stack AI + mobile + web + blockchain

Global delivery (USA, UAE, India, UK, SG, SA)

AI-first engineering teams

Strong enterprise compliance discipline

AI Product Engineering Studio Reference Architecture

From strategy to deployment, Mobiloitte orchestrates every layer for intelligent product development.

1
Product Strategy Layer

Requirements discovery, AI opportunity mapping, Tech stack selection

2
AI Intelligence Layer

LLMs (GPT, Gemini, Claude, Llama), Predictive models, AI agents & orchestration, RAG pipeline

3
Application Engineering Layer

Web/mobile frontend, Backend microservices, API gateway, Database & caching

4
MLOps & DevOps Layer

CI/CD pipelines, Model monitoring, Observability, Auto scalability

AI + Blockchain Product Layer

Secure, auditable, and autonomous product intelligence

Combine AI-driven automation with blockchain-backed trust to secure product data, create immutable logs, trigger smart contracts, and enable trusted multi-party collaboration.

What this layer guarantees

  • Tamper-proof product data and usage history.
  • Real-time auditability across multi-party workflows.
  • Smart contract automation for licensing and compliance.
AI-powered Smart Contracts

Automated scoring, validation, and contract firing.

Tokenized AI Products

Usage-based pricing via micro-payments.

Decentralized AI Model Deployment

Cross-chain AI agents, distributed inference.

Immutable AI Logs

Audit trails stored on blockchain.

Why This Page Is Critical in 2025

Why This Page Is Critical in 2025

Enterprises and startups need more than just "AI features."

They need:

Full AI-powered products

Multi-agent workflows

AI copilots

Intelligent automation platforms

AI-first mobile/web apps

Scalable architecture

Private-cloud or on-prem AI models

Continuous MLOps & monitoring

Mobiloitte's AI Product Engineering Studio provides a dedicated AI-focused product development powerhouse.

Intelligent AI Product Engineering Capabilities

Studio squads blend architecture, engineering, and AI to move from problem statements to governed production software. From AI-first system design to MLOps, we deliver complete product engineering.

AI Product Architecture

AI-first system design, Workflow orchestration, Multi-agent architecture, Domain-specific RAG systems, Vector database design, API gateway & microservices

Full-Stack Engineering (Web + Mobile + Backend)

React, Next.js, Angular, Flutter, Kotlin, Swift, Node.js, Python, FastAPI, Microservices, serverless, monorepos

LLM App Development

Chatbot copilots, Voice AI agents, Document automation, Search + RAG apps, Secured enterprise AI apps

Multi-Agent AI Engineering

Sales agents, Customer support agents, Operations agents, Workflow execution agents, Autonomous task agents

Predictive Intelligence Models

Forecasting, Demand prediction, Risk scoring, Behavior modelling, Fraud detection

AI Workflow Orchestration Platform Engineering

Business workflows, Approval flows, RPA automation, Multi-step LLM reasoning, Human-in-loop workflows

Frontend AI Experiences

AI-powered dashboards, AI-recommended UI actions, Personalized UX layers, Voice-enabled interfaces

Backend Engineering for AI Pipelines

Event-driven architecture, Queue systems (Kafka, Redis, RabbitMQ), Distributed compute, API metering & analytics

MLOps & Continuous AI Delivery

Model versioning, Monitoring & observability, Auto-retraining, Model drift detection, A/B testing for AI models

Ready to Build Your AI Product?

Discover how AI-first product engineering can accelerate your GTM, reduce development cycles, and unlock measurable business outcomes.

Technology Comparison

Autonomous vs Rule-Based Product Development

Contrast adaptive AI agents that orchestrate workflows, learn from usage, and evolve autonomously with static rule engines that require constant manual updates.

Autonomous AI Product Platform

Multi-agent systems that learn from user behavior, adapt workflows, and evolve product features autonomously with guardrails and policies.

  • Self-learning from user interactions and feedback
  • Adaptive workflows that optimize based on outcomes
  • Continuous product evolution without manual updates
  • Intelligent feature recommendations and A/B testing
  • Explainable AI insights for product decisions

Traditional Rule-Based Development

Static workflows, fixed business logic, and manual feature updates that break when user needs or market conditions change.

  • Fixed business rules requiring frequent manual updates
  • No learning from user behavior or outcomes
  • Reactive maintenance based on support tickets
  • Manual feature releases and deployment cycles
  • Limited personalization and adaptation capabilities

Choose the Right Product Development Approach

Let our experts help you determine the optimal AI product strategy for your specific use case.

Platform Integrations

AI Powered Platform Integrations

Seamlessly connect with 100+ tools and platforms your team already uses for unified collaboration and enhanced productivity.

OpenAI

GPT-4, GPT-3.5, embeddings, and fine-tuning APIs

Gemini

Google's multimodal AI models and Vertex AI integration

Claude & Llama

Anthropic Claude and Meta Llama models for enterprise AI

HuggingFace & Mistral

Open-source models, transformers, and model hub

MongoDB & Postgres

Vector databases, document stores, and relational DBs

Redis & Faiss

Caching, vector search, and in-memory data stores

AWS & Azure & GCP

Cloud infrastructure, AI services, and serverless

Docker & Kubernetes

Containerization, orchestration, and MLOps pipelines

Need a Custom Integration?

Don't see your platform? We can build custom integrations for any tool or system your team uses.

Enterprise-Grade Security & Compliance

Safeguard your AI products with secure architecture, encrypted data paths, and governance aligned with SOC 2, ISO 27001, GDPR, and industry-specific compliance.

Secure AI Model Deployment

Private cloud and on-premise deployments with encrypted model storage and inference endpoints.

Data Privacy & Encryption

End-to-end encryption, data anonymization, and privacy-preserving AI techniques for sensitive data.

Access Control & RBAC

Role-based access control, API authentication, and fine-grained permissions for product features.

Compliance & Audit Logs

Comprehensive audit trails, compliance reporting, and automated compliance checks for regulated industries.

Secure API Gateway

API rate limiting, authentication, authorization, and threat detection for all product endpoints.

Incident Response

Automated security monitoring, threat detection, and incident response playbooks for rapid remediation.

Ready to Secure Your AI Product?

Let's discuss how our enterprise-grade security solutions can protect your AI product and ensure compliance.

ROI Metrics

AI Product Engineering Value Propositions

Reference outcomes from deployments of Mobiloitte's AI Product Engineering Studio.

Faster GTM

Faster GTM (launch in 4–12 weeks)

Fully AI-first architecture

Fully AI-first architecture

Enterprise-grade security & compliance

Enterprise-grade security & compliance

Modular codebases

Modular codebases

Predictable pricing

Predictable pricing

Scalable for millions of users

Scalable for millions of users

Future-proof product engineering

Future-proof product engineering
Transformation Stories

Success Stories

See how enterprises and startups build AI-first products that scale from MVP to millions of users with Mobiloitte's AI Product Engineering Studio.

Enterprise SaaS Platform
Enterprise Client

Built an AI-powered customer support platform with multi-agent workflows, reducing support tickets by 65% and improving customer satisfaction scores.

65% ticket reduction4-week MVP launch
Healthcare AI Startup
Enterprise Client

Developed an AI-first diagnostic platform with LLM integration, RAG systems, and predictive models, achieving FDA compliance and 90% diagnostic accuracy.

90% accuracyFDA compliant

Ready to Create Your Success Story?

Join our growing list of successful enterprises who have transformed their product development with Mobiloitte's AI Product Engineering Studio.

Start Your Journey

AI Product Engineering FAQs

SEO-ready answers for the most common product, engineering, and compliance questions.

What is AI Product Engineering?

Building software products with AI integrated at core — not as an add-on.

Do you provide architecture consulting?

Yes — full AI system design included.

Can you integrate with existing systems?

Yes — ERP, CRM, CDP, core banking, and more.

Do you design both UI/UX & backend?

Yes — complete, end-to-end engineering.

Can you optimize AI performance?

Yes — quantization, caching, latency reduction.

Can you develop AI-first MVPs?

Yes — 4–8 week delivery cycles.

Do you support on-premise AI?

Yes — for BFSI, Government, Defense, Healthcare.

Do you build multi-agent systems?

Yes — full agent orchestration architecture.

Do you support mobile apps?

Yes — iOS, Android, Flutter, React Native.

Will Mobiloitte handle MLOps?

Yes — CI/CD + monitoring + retraining.

Your Product Idea — Engineered with AI, Delivered with Precision

Let Mobiloitte build your next AI-powered product or platform.

Enterprise-grade delivery, measurable ROI