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AI & Machine Learning Solutions

Build production-ready AI systems that reduce manual work, improve decisions, and scale with your operations.

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We are committed to ongoing learning and progress—staying current with technical developments so we can deliver innovative options tailored to your business needs. Our AI team designs and deploys automation, knowledge assistants, vision systems, and document intelligence that integrate with your existing stack.

What we deliver

Services & capabilities

  • AI workflow automation & agents
  • RAG systems & enterprise AI assistants
  • AI chatbots (web, WhatsApp, internal tools)
  • Computer vision & monitoring analytics
  • OCR & document AI pipelines
  • Custom LLM integrations & fine-tuning
  • Predictive analytics & ML models
  • AI strategy, audit & implementation
Stack

Technologies we use

PythonOpenAI / Azure OpenAILangChainVector DBsTensorFlowPyTorchFastAPIAWS / GCP
Why iBoon

Why choose us

iBoon combines deep AI engineering with business-first delivery—we map ROI and adoption before building, then ship systems that teams actually use. From Mediniv healthcare platforms to document automation pipelines, we deliver measurable outcomes.

Engagement

Hire dedicated professionals

Hourly hiring

Duration
Hourly
Billing
Hourly / weekly

Flexible engagement for scoped tasks, audits, and quick iterations.

Part-time hiring

Duration
4 hours a day
Billing
Weekly

Dedicated developer capacity without full-time commitment.

Full-time / project-based

Duration
Project-based
Billing
Milestone-based

End-to-end delivery with defined milestones and launch support.

Process

Work timeline

  1. Step 1

    Discovery & requirements

    We align on goals, users, technical constraints, and success metrics.

  2. Step 2

    Planning & strategy

    Architecture, roadmap, and delivery plan with clear milestones.

  3. Step 3

    UI/UX design

    Wireframes and interfaces focused on usability and conversion.

  4. Step 4

    Development

    Agile sprints with demos, code reviews, and transparent progress.

  5. Step 5

    Testing & QA

    Functional, performance, and security checks before go-live.

  6. Step 6

    Launch & support

    Deployment, monitoring, and ongoing maintenance as needed.

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Have a new project in mind?

Send us a message and our team will get back to you to discuss AI & ML Solutions.