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GenAI, RAG, and AI Agents in Action The mTouch Labs Innovation Model

At mTouch Labs, our mission is clear: simplify complex business operations through powerful, intelligent, AI-driven platforms. Inspired by innovations from global tech events like CloudWorld 2025, we’re building smarter digital products that use GenAI, RAG (Retrieval-Augmented Generation), and AI agents helping startups and enterprises automate workflows, enhance customer experiences, and make faster, data-backed decisions. With our AI-first approach, we’re moving beyond conventional software into intelligent systems that respond, learn, and improve with every interaction.

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RAG Architecture for Trustworthy AI Outputs

Hallucinations are a big issue in general-purpose LLMs. That’s why we build RAG-based apps that combine generation with real-time, verifiable data sources.

Using vector databases like Pinecone and Weaviate, mTouch Labs helps clients power GenAI with their internal knowledge documents, tickets, SOPs, or compliance files.

When a user asks a question, the RAG pipeline searches the content, retrieves the most relevant parts, and feeds them to the AI model for a grounded response.

Every answer comes with citation links, helping your team validate AI results instantly.

We use this tech in:

  • Legal tech (contract AI review)
  • Healthcare (compliance-ready answers)
  • HR (policy-aware onboarding bots)

And we provide tools for clients to manage their own data pipelines with indexing dashboards, schema editors, and feedback collection.

Secure Retrieval + Lightning Fast Indexing

Our RAG solutions can index gigabytes of enterprise data in minutes and keep it updated in real-time using background syncing.

AI Agents by mTouch Labs — Beyond Virtual Assistants

We develop full-stack AI agents that perform tasks, not just answer questions.

AI agents built by mTouch Labs come with memory, decision trees, and task execution capabilities. They connect to tools like CRMs, ticketing systems, calendars, and custom APIs to act on behalf of users.

Example use cases:

  • Agents that monitor sales pipelines and follow up with leads
  • Support agents that auto-respond to FAQs, raise tickets, and update status
  • Workflow bots that approve leave requests, trigger payroll, or send reminders

These agents are multi-lingual, configurable, and operate within compliance limits. All actions are logged and audit-ready.

You can create your own agents with our low-code interface or APIs, training them on specific workflows or user intent.

Enterprise-Grade Automation with Guardrails

Every agent comes with action limits, fallback logic, human override, and runtime logs keeping AI safe, monitored, and aligned with business goals.

Infrastructure Powering Our AI Stack

Our AI systems run on robust infrastructure hybrid and multi-cloud ready including:

  • Nvidia GPU-based inference servers
  • Dockerized AI microservices
  • Scalable vector and relational databases
  • Integration-ready APIs for any frontend or third-party system

Whether deploying in OCI, AWS, Azure, or private cloud, mTouch Labs ensures performance, scalability, and low-latency user experience.

We’re also building greener AI with efficient models and optimized compute helping clients track their digital carbon footprints.

AI + SaaS = mCartify, LeadTrackr & More

We’ve embedded these AI features into our flagship products like:

  • mCartify: AI-driven eCommerce builder
  • LeadTrackr: Sales CRM with smart follow-ups
  • QBot: Chat agent for customer queries

Conclusion: mTouch Labs — Your AI Innovation Partner

mTouch Labs is not just keeping up with global AI trends — we’re implementing them to solve real business problems for our clients.

From GenAI to RAG to autonomous agents, we’re crafting software that thinks, acts, and scales.

If you’re building a product or modernizing operations, our AI capabilities are built for action — not experimentation. Let’s turn intelligence into growth.