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Technology

Build the system your work actually needs.

Software engineering and AI & machine learning are the core of Aorizon's technology practice. Every line of code is optimised. From architecture to production deployment, we build systems that hold up as the business scales.

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What we work on

    • System architecture and technical design
    • Web and mobile applications
    • APIs, integrations and data pipelines
    • Cloud infrastructure and deployment
    • Testing, observability and maintenance
    • Documentation your engineers can use
    • LLM integration, retrieval and evaluation
    • Agent workflows with guardrails
    • Computer vision in real operating conditions
    • Model training, fine-tuning and optimisation
    • Process automation with measurable targets
    • MLOps: monitoring, retraining, cost control
    • Feasibility studies and prototypes
    • Algorithm and model formulation
    • Evaluation harnesses and benchmarks
    • Transfer to production by the same team
    R&D as a service

How a technology engagement runs

  1. Requirements and constraints

    Share the problem, the existing systems and the limits on data, budget and time.

  2. Scope and milestones

    We propose the architecture, the deliverables and a milestone plan. You see it before anything is built.

  3. Build and review

    Working software at each milestone, shared through your repositories and tools, reviewed with the people who will own it.

  4. Deployment and handover

    Production deployment, documentation and a handover your team can run without us.


Plans for technology work

Monthly partnership or fixed-scope project. Pause anytime; one test week, refunded if we don't deliver.

Indian customers pay the INR price, about 30% below the international rate. GST extra.

Core Engineering Sprint

₹75,000per month
  • Up to 45 engineering hours
  • One active task at a time
  • Updates every 48 hours
  • Unlimited iterations
Select plan

Custom Enterprise Integration

₹80,000+per project
  • Fixed milestones and timeline
  • Unlimited iterations within scope
  • Institutional billing
  • Documented handover
Scope a project

Common questions

Can we bring an existing system?

Yes. Describe its current state and the change you need, and we assess the scope before proposing anything.

Do you work with our engineers or replace them?

Either. Many engagements embed with an in-house team; others deliver a complete system with a handover at the end.

How is AI work evaluated?

Against performance criteria agreed at scoping, on your data. We do not promise outcomes a model has not yet demonstrated.

What stack do you use?

The one the problem needs. We propose it in the scope with the reasons, and we avoid lock-in to tools your team cannot maintain.

Tell us what you're working on.

Goes straight to contact@aorizon.in. We use it only to reply.