AI Integration & Consulting

AI that ships
to production.

Turn AI from an idea into a measurable business advantage. Omka Tech helps organizations identify high-impact AI opportunities, integrate intelligent solutions into existing systems, and deploy secure, scalable AI applications that improve productivity, automate workflows, and accelerate growth.

3000+ Client Served
20+ Countries
Since 2018 7+ Years Experience
55+ Experts
What we build

Six shapes
of AI work.

Every business has unique challenges, which is why every AI solution we build is tailored to your goals. From AI-powered assistants and workflow automation to custom enterprise applications, we create intelligent solutions that seamlessly integrate with your existing systems and deliver measurable results.

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01

RAG Systems

Transform your internal documents, knowledge bases, and business data into an intelligent AI assistant. Our Retrieval-Augmented Generation (RAG) solutions deliver fast, context-aware answers backed by your organizationโ€™s trusted information, helping users find accurate insights with confidence.

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02

AI Agents

Empower your business with autonomous AI agents that can execute complex, multi-step workflows. From research and data extraction to task management and scheduling, our AI agents automate repetitive processes while seamlessly involving human teams whenever review or approval is needed.

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03

LLM Integration

Add production-ready AI capabilities to your products without disrupting your existing architecture. From AI copilots and smart search to automated content generation and document intelligence, we help you modernize your applications with scalable AI solutions.

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04

Document Intelligence

OCR, structured extraction and classification at scale โ€” invoices, contracts, forms, mail and unstructured PDFs. Proven in production across 40+ physical locations.

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05

AI Chatbots

Build enterprise-grade AI assistants that deliver reliable customer support across web, mobile, and messaging platforms. Our solutions combine Retrieval-Augmented Generation (RAG), conversational memory, and human escalation to ensure accurate, personalized, and trustworthy interactions.

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06

Fine-tuning & Custom Models

Deploy customized AI models within your own infrastructure to maintain full control over sensitive data and system performance. We help businesses fine-tune, optimize, and self-host AI models for secure, scalable, and cost-effective production environments.

โ€” MOBILE WORK IN PRODUCTION

Selected case studies.

Real products. Real users. Real impact. Explore a few of the mobile applications we've designed, engineered, and shipped.

01 / 03
Explore All Mobile Case Studies โ†’

E – Fire USA

Real - time fire safety monitoring and incident management platform.

  • Live video streaming & camera pipeline Real - time incident monitoring across multiple sites.
  • Instant alerts & notifications Web Socket based real-time alert managemnet.
  • Multi-site dashboard Centralized dashboards with role-based access.
  • Custom HTTP adaptor Build a custom adapter when vendor SDK was unavailable to keep delivery on track.
Flutter Node.js WebSockets Postgre SQL AWS
E – Fire USA

Omkatech

Real - time fire safety monitoring and incident management platform.

  • Live video streaming & camera pipeline Real - time incident monitoring across multiple sites.
  • Instant alerts & notifications Web Socket based real-tie alert managemnet.
  • Multi-site dashboard Centralized dashboards with role-based access.
  • Custom HTTP adaptor Build a custom adapter when vendor SDK was unavailable to keep delivery on track.
Flutter Node.js WebSockets Postgre SQL AWS
Omkatech

Montrealroyallimo

Real - time fire safety monitoring and incident management platform.

  • Live video streaming & camera pipeline Real - time incident monitoring across multiple sites.
  • Instant alerts & notifications Web Socket based real-tie alert managemnet.
  • Multi-site dashboard Centralized dashboards with role-based access.
  • Custom HTTP adaptor Build a custom adapter when vendor SDK was unavailable to keep delivery on track.
Flutter Node.js WebSockets Postgre SQL AWS
Montrealroyallimo
How we work

Four Phases.
One team.

Every AI project is different, so our engagement timelines are tailored to your business goals and technical requirements. Most implementations are completed within 6โ€“14 weeks, with delivery timelines adjusted based on solution complexity, integrations, testing, and performance validation.

Phase 01

Use Case & Feasibility

Discovery Illustration

WWe workshop the use case, define what โ€œworkingโ€ actually means in numbers, run a technical feasibility check, and scope a fixed-price SOW.

  • Use case definition
  • Success Measures
  • Model selection rationale
  • Fixed-scope proposal
Phase 02

Prototype & Evaluate

UI/UX Illustration

A working prototype against a sample of your real data, with a measured accuracy number attached โ€” not a polished demo running on cherry-picked inputs.

  • End-to-end prototype
  • Data & API design
  • Model/stack comparison
  • Accuracy benchmark report
Phase 03

Production Build

Agile Development Illustration

The prototype gets hardened into a real system โ€” logging, monitoring, error handling, cost controls, and a human-in-the-loop path for anything the model shouldnโ€™t decide alone.

  • Production-grade codebase
  • Observability & logging
  • Error handling & fallback logic
  • Staging + UAT sign-off
Phase 04

Launch & Iterate

Launch & Handover Illustration

Production deployment, evaluation against real users and real traffic, and a tuning pass once we see how the system behaves outside the lab.

  • Production deployment
  • Real-user evaluation pass
  • Prompt / model tuning
  • 30-day warranty coverage
Technology

Right model for your problem.

We take a technology-agnostic approach to AI consulting. Rather than promoting a specific platform or provider, we identify the models and infrastructure that best fit your business objectives, ensuring optimal performance, reliability, and return on investment.

Foundation Models

Closed and open models, chosen by accuracy, cost and data sensitivity.

Frameworks & SDKs

Production-grade orchestration, retrieval and agent frameworks.

Vector & Data

Embeddings, vector storage and retrieval pipelines.

Infrastructure

Cloud-managed and self-hosted, depending on data and latency requirements.
FAQ

Mobile-specific
questions.

Clear answers to common questions about our process, pricing, timelines, and support.

01 Can AI integrate with my existing software and databases? +

Yes. We specialize in integrating AI with CRMs, ERPs, internal databases, customer portals, websites, mobile apps, and third-party platforms. Our goal is to enhance your existing systems without disrupting your operations.

02 Which AI models do you work with? +

We work with leading AI models including OpenAI GPT, Claude, Gemini, Mistral, and open-source models such as Llama. We select the best option based on your requirements for accuracy, security, compliance, and cost.

03 Can you build AI chatbots that provide customer support? +

Absolutely. We create AI-powered chatbots that can answer customer questions, access company knowledge, remember conversations, and seamlessly escalate complex issues to human agents when needed.

04 Can AI automate repetitive business processes? +

Yes. AI can automate tasks such as document processing, lead qualification, customer support, data extraction, report generation, content creation, email categorization, and internal workflow management.

05 What's the difference between an AI chatbot and an AI agent? +

An AI chatbot primarily answers questions and assists users through conversations. An AI agent can take actions on behalf of users, such as updating records, scheduling appointments, processing requests, or interacting with multiple systems.

Start a Conversation

Ready to build, scale, and grow digitally?

From websites and mobile apps to AI solutions, we help businesses transform ideas into successful products. Tell us about your project, weโ€™ll respond within 24 hours.