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.


Build your own Data & AI Capabilities
Discuss with us your current state and we advise you
Insights
You can't afford to wait on data
Practical writing on data platforms, AI in production and building capability in Central Asia.