Services
Six disciplines. One engineering team.
- 01
AI and Generative AI
Build practical AI applications around organizational data and workflows.
- Generative AI applications
- Enterprise knowledge assistants
- Retrieval-Augmented Generation
- Private knowledge bases
- LLM integrations
- 02
AI Agents and Automation
Design intelligent agents that perform tasks across existing business systems.
- AI agents
- Workflow automation
- Multi-step process automation
- Email automation
- CRM automation
- 03
Business System Integrations
Connect platforms that currently operate independently.
- REST APIs
- Webhooks
- Payment platforms
- ERP systems
- CRMs
- 04
Data Engineering
Design dependable data infrastructure for analytics, AI and operational reporting.
- ETL
- ELT
- Data pipelines
- Orchestration
- Data quality
- 05
Data Warehousing and Analytics Infrastructure
Transform operational data into reliable analytical systems.
- Data warehouses
- Data marts
- Dimensional modelling
- Lakehouse architecture
- Reporting infrastructure
- 06
Platform Development
Build custom digital products and internal systems.
- Web applications
- SaaS platforms
- Client portals
- Internal tools
- Workflow systems
Our approach
Start with the problem. Engineer the right system.
01 —
Understand
We map the workflows, systems, data and business objectives.
- + Stakeholder workshops
- + Process and system mapping
- + Data assessment
Problem definition and priorities
02 —
Architect
We design a technical approach around the organization's existing environment and future requirements.
- + Solution architecture
- + Technology selection
- + Delivery plan
Architecture and roadmap
03 —
Build
Our engineers develop, integrate and test the solution iteratively.
- + Iterative sprints
- + Integration and testing
- + Regular demos
Working, tested software
04 —
Improve
We deploy, monitor and continue optimizing the system as the organization grows.
- + Deployment
- + Monitoring and support
- + Continuous improvement
A system that keeps getting better
Engineering stack
Modern technology. Chosen for the problem.
- 01AIModels and frameworks for applied AI
- OpenAIAnthropicGeminiLangChainLlamaIndexVector Databases
- 02DataPipelines, modelling and storage
- PythonSQLPostgreSQLAirflowdbtKafka
- 03Business SystemsOperational platforms we integrate
- ZohoOdooMicrosoft 365Google Workspace
- 04PlatformsApplication engineering
- Next.jsReactTypeScriptNode.jsFastAPIREST APIs
- 05CloudInfrastructure and deployment
- AWSAzureGoogle CloudDocker
Start a conversation
Have a system that needs to work better?
Whether you're exploring AI, connecting business systems, rebuilding your data infrastructure or developing a new platform, we'd like to understand the problem.