Engineering services
Software and AI engineering, bespoke to each outcome.
We build applications, integrations between business systems, data pipelines and the cloud platforms they run on. We add AI features to existing applications and build agentic workflows.
Services
We maintain and support systems another team built.
Software engineering
We operate what we build, on AWS and GCP.
Application development
We design the architecture, then build back ends in Python, Java and Node.js. Web interfaces are in React, and mobile apps in Kotlin, Swift, Flutter and React Native.
Business system integration
We connect CRM, finance, HRIS and learning management systems through their APIs, and build on Salesforce.
Data engineering and machine learning
We design the data warehouse and build its pipelines and reporting. We also build data science and machine-learning models on that data.
Cloud operations on AWS and GCP
We set up containers, CI/CD, infrastructure as code and observability, and operate the platform.
Support for existing software
It gets the same review and analysis as software we build.
AI engineering
An assessment names the workflows, the data and the approval path.
LLM features in existing applications
Retrieval-augmented generation over internal data ships with evaluation and monitoring.
Agentic workflows with review points
We build them for documentation, operations and marketing pipelines.
Adoption assessment
We set the roadmap from what it finds.
Running costs for LLM workloads
We cut token spend.
Working sessions for non-technical teams
We show what an agent will do and where it stops.
Sectors
Our engineers have worked in these sectors.
Case studies are available under a non-disclosure agreement on request.
Engagement
Staffing and subcontractors are our responsibility in every model.
| Engagement model | You | Dassui |
|---|---|---|
| Delivery team | You agree the scope. | We assemble the team and deliver it. |
| Embedded engineers | You run the process and tooling they work in. | We propose the engineers. |
| Technical advisory | You decide on technology, architecture and AI adoption. | We advise on those choices. |
Each engagement has one lead from Dassui, who answers for onboarding and delivery management.
Method
A person reviews each change after commit and again before release.
Outcome
You name the outcome, and the engagement is measured against it.
Scope
You choose a bounded first scope and the engagement model. Each engineer starts only after you interview them.
Delivery
Our engineers build with agentic tooling, and each change runs the delivery pipeline from commit to release.
Release review
A release ships only after a person signs it off.
Next scope
You decide whether to expand, and we maintain what shipped.
Working practice
We reach data through the systems that store it and hold no production data on a development machine.
Code reaches a third-party model only with written approval from the client.