We build the capability, not just the platform
D.telligent is a data and AI systems integrator and technology education provider for Uzbekistan and Central Asia. We take enterprises from legacy systems to modern cloud data platforms and into AI production — and we train the certified engineers who keep it running after we leave.
Our delivery models flex to what the client actually needs: a fixed-scope pilot, a full platform build, an in-house Centre of Excellence, or a trained team of your own.
Our delivery models flex to what the client actually needs: a fixed-scope pilot, a full platform build, an in-house Centre of Excellence, or a trained team of your own.
Our Methodology for Success
Proven Methodology to ensure organisations extract business value out their data
- 🔍 Discovery
- 🏗️ Delivery
- 💡 Advisory
- 🎓 Enablement
- 🚀 Accelerate
Discovery
What we do: A senior architect from our team spends time inside your organisation — with your data, your systems and the people who use them — to map where the value is trapped and what is actually blocking it. This is not a questionnaire. It's an engineer looking at your estate.
What you get: A clear picture of your data landscape, and a ranked list of what to do about it.
What you get: A clear picture of your data landscape, and a ranked list of what to do about it.
- A complete inventory of where your data lives, who owns it and how it moves
- The bottlenecks and silos that slow reporting and block AI, named specifically
- Compliance and data residency exposure under Law No. 1125, identified before a regulator does
- A prioritised use-case portfolio with a business case attached to each
- One measurable outcome selected as the first pilot
Delivery
What we do: End-to-end migration and implementation: moving workloads off legacy cores, designing and standing up the data platform, and tuning it for scale and cost. We build on Microsoft, AWS, Google Cloud, Databricks or Snowflake — whichever fits your estate, your regulatory position and your budget, not whichever we're paid to recommend.
What you get: A platform that runs, with your team trained to run it.
What you get: A platform that runs, with your team trained to run it.
- Legacy workloads migrated with a proven rollback plan, not a leap of faith
- A governed lakehouse or warehouse with lineage, access control and cost visibility from day one
- Workloads placed correctly — abroad where the law allows, onshore where it doesn't
- Pipelines and models in production with monitoring and ownership defined
- Documentation and handover your own engineers can actually use
Advisory
What we do: Data and AI strategy at board and executive level: target architecture, sequenced roadmap, operating model and the investment case that connects them. Delivered by people who have implemented what they recommend, in regulated industries, at scale.
What you get: A strategy your organisation can execute, not a document that describes one.
What you get: A strategy your organisation can execute, not a document that describes one.
- A target architecture grounded in what your teams can absorb in 12, 24 and 36 months
- A roadmap with dependencies, sequencing and cost, not a list of aspirations
- Governance and operating model for data and AI across the enterprise
- KPIs that connect platform investment to P&L outcomes the board will recognise
- A vendor-neutral view on the cloud and platform decisions, including the ones we don't sell
Enablement
What we do: This is the part no other integrator in the region offers. Through the D.telligent Academy we train and certify data analysts, data engineers and ML engineers to a vendor-neutral standard — as open cohorts, as dedicated programmes for your organisation, and as train-the-trainer engagements that leave the capability inside your walls.
What you get: In-house engineers certified on the architecture you're actually running.
What you get: In-house engineers certified on the architecture you're actually running.
- Cohorts of 12–20 delivered onsite, remotely or blended, paid from L&D or transformation budgets
- Three tracks: Data Analyst (10 weeks), Data Engineer (16 weeks), Data Scientist / ML Engineer (20 weeks)
- Certification by graded build and architect sign-off, not attendance
- Coverage across Microsoft, AWS, Databricks, Snowflake and open-source stacks, so graduates aren't locked to one vendor
- A Data & AI Centre of Excellence with the operating model, standards and people to sustain it after we leave
Accelerate
What we do: Structured, time-boxed sprints on your hardest problem, using field-proven solution accelerators for banking, telecom, retail, manufacturing and healthcare, and out-of-the-box GenAI applications — knowledge assistants, conversational agents, agent frameworks — on governed enterprise data.
What you get: A working proof of concept in weeks, on a mission-critical use case, on your data.
What you get: A working proof of concept in weeks, on a mission-critical use case, on your data.
- Ideation to working proof of concept in as fast as two weeks
- Pre-built notebooks, technical assets and step-by-step business context, so the sprint starts at step three rather than step one
- Accelerators for fraud and AML, credit risk, demand forecasting, churn, predictive maintenance and network optimisation
- GenAI deployed on governed data with retrieval, evaluation and monitoring built in
- A go/no-go decision based on evidence rather than a vendor demo
Partners
Who we build with
We design and deploy modern platforms on major clouds and leading AI standards.

