Services
Data & AI
Data platforms, analytics, AI and generative AI, and intelligent automation.
What this practice covers
Services in Data & AI
Each service defines its own scope, starting points and handovers. Use the links below to compare them before you start a conversation.
Typical path
- Assess
- Design
- Build
- Test
- Launch
Data Platforms & Engineering
Build modern data platforms and reliable pipelines that bring trusted, governed data to analytics and AI.
- Databricks
- Snowflake
- Microsoft Fabric
- Azure Data Factory
Analytics & BI
Turn trusted data into dashboards, reports and insights that help people make better decisions every day.
- Power BI
- Tableau
- Microsoft Fabric
- Looker
AI, ML & Generative AI
Design, build and run machine learning models, AI assistants and agents that solve defined business problems safely.
- Azure OpenAI
- Amazon Bedrock
- Google Vertex AI
- Databricks
Intelligent Automation & RPA
Automate repetitive, rule-based work with bots, workflows and document processing that are governed and easy to maintain.
- UiPath
- Microsoft Power Automate
- Automation Anywhere
- Azure AI Document Intelligence
Sector fit
Where this practice is used
The same capability can look different depending on the sector, the regulation and the operating model. These are the industries this practice most often supports.
Ways to work together
Choose the commercial shape after the scope
The right engagement model depends on how well the outcome can be defined, how much of the work sits with your team and how quickly the scope is likely to change.
Advisory Engagements
Time-boxed expert advice, assessments and roadmaps that help you make confident decisions before you invest.
Fixed-Scope Projects
Defined scope, deliverables and timeline, delivered end to end by a Hinkor team accountable for the result.
Dedicated Teams & Team Extension
Hinkor engineers and specialists who join your team, follow your processes and work toward your roadmap.
Outcome-Based Engagements
Ongoing services run by Hinkor and measured against agreed service levels, with continual improvement built in.
Next step
Not sure which service fits?
Describe the outcome and the constraint. We will help you frame the work before you commit to a scope.