Technology
The Right Technology
for Each Problem
We work across leading data platforms, clouds, AI models and marketing systems — and choose based on your context, not vendor preference.
Data
- Databricks
- Apache Spark
- Kafka
- Delta Lake
- Snowflake
- SQL
Cloud
- AWS
- Azure
- GCP
AI
- LLMs
- Generative AI
- RAG
- Vector Search
- AI Agents
Marketing
- Meta
- Google Ads
- Adobe
- CDP
- Marketing Automation
Reference architecture
Data platform
A governed lakehouse that serves BI, machine learning and generative AI from the same trusted data.
- ERP & CRM
- Apps & APIs
- Files
- Events
- Batch ELT
- Kafka streams
- CDC
- Raw
- Immutable
- Replayable
- Cleansed
- Conformed
- Validated
- Business-ready
- Modelled
- Served
- BI
- ML
- GenAI
- Apps
Governance plane — across every layer
Reference architecture
Enterprise AI
Retrieval, reasoning and control layers that make AI dependable in production.
Knowledge
- Documents
- Governed data
- APIs & systems
Retrieval
- Vector search
- Knowledge graph
- Enterprise search
Reasoning
- LLMs
- Agent orchestration
- Tools & memory
Control
- Human-in-the-loop
- Guardrails
- Evaluation
Action
- Assistants
- Automation
- Insights
Engineering principles
How we choose and use technology
Open & portable
Open formats and standards so your data and models are never trapped.
Cloud-agnostic
Designs that work on AWS, Azure or GCP — chosen for your context.
Everything as code
Pipelines, infrastructure, policies and tests versioned and reviewed.
Secure by default
Least-privilege access, encryption and auditability from day one.
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