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  1. EduRankAI
  2. SAMARTH
  3. Capabilities
  4. AI engineering

SAMARTH capability

AI engineering

A model that works in a notebook is the beginning of an AI system, not the end. AI engineering is the work of making it reliable, measurable, secure and maintainable inside a real organisation.

Register for a consultationHow it works

Problems organisations bring

  • Pilots that never reach production
  • No way to tell whether an AI system is improving or degrading
  • Sensitive data that cannot leave the organisation
  • Integration with systems that were never designed for it

Scope of work

  • Use-case selection and feasibility
  • Model selection, including open-weight models run on your own infrastructure
  • Retrieval and knowledge systems
  • Agents and tool-using systems with human approval points
  • Evaluation, monitoring and drift detection
  • Integration with existing applications and data

How an engagement runs

  1. Consultation. Every engagement begins with a registered consultation request and a call with a SAMARTH consultant, who confirms what is actually needed.
  2. Evaluation design. Before building, agree how success is measured on your own data.
  3. Build and integrate. Iterative delivery against the agreed evaluation, with security review at each stage.
  4. Proposal and quotation. Any work beyond the consultation is proposed separately, with its own scope, price, terms and an internally approved quotation.

What is delivered

  • Working system in your environment
  • Evaluation suite and baseline results
  • Operating and monitoring runbooks
  • Handover training for your team

Limits we state plainly

Automated outputs that affect people are designed to inform a human decision, not replace it.

No model is described as more capable than its evaluation shows.

Questions

Can the system run without sending our data to an outside AI provider?

Often yes. Open-weight models can be hosted on infrastructure you control. Whether that suits your use case is assessed during the consultation.

Who owns what is built?

Ownership and licensing are set out in the quotation and contract for each engagement. Nothing is transferred by default.

Related capabilities

Intelligent systems

Decision-support, prediction, monitoring and automation systems that combine data, models and human judgement for services, industry and government.

GPU computing

Planning, building and operating GPU and AI computing capacity: sizing, architecture, networking, scheduling and utilisation.

Enterprise software

Web, mobile and enterprise applications, SaaS platforms, ERP and CRM, APIs and data engineering, built to be owned and maintained by the client.