Direction
Data and AI solution design
Define requirements, architecture, product scope, technology choices, decision records, and a delivery plan for a new or existing system.
Data and AI consultancy
Practical Data and AI systems, built with your team.
CALMWORKS works with startups and enterprises on data and AI architecture, implementation, and training. We specialise in AI agents, Databricks, data platforms, and data science in production.
What we do
Senior technical support from architecture through implementation.
We can help define the technical approach, implement the first production version, or work within an existing team to improve delivery. Training and documentation are included where they are useful, so the people responsible for the system understand how it works.
- Architecture and solution design: define requirements, system boundaries, technology choices, risks, and a realistic delivery plan.
- Hands-on implementation: build agents, data platforms, ML workflows, APIs, evaluation systems, and production infrastructure.
- Training and handover: provide workshops, paired implementation, documentation, and technical reviews for internal teams.
Capabilities
Data and AI expertise for delivery work.
We scope each engagement around the problem, the existing team, and the systems already in place. A project may combine several of the capabilities below.
Agent systems
AI agent systems
Design and implement tool-using agents, multi-agent workflows, evaluators, and voice agents, including guardrails, evaluation, observability, and integration.
Data platforms
Databricks and lakehouse delivery
Design or improve lakehouse architecture, data models, pipelines, quality controls, governance, MLOps, and model serving on Databricks.
Applied data science
Data science in production
Put models and analytics into production with reliable pipelines, experimentation, serving, monitoring, testing, and application integration.
Team capability
Technical training and workshops
Train teams through focused workshops, paired implementation, technical walkthroughs, code review, and materials based on their own systems.
Developer experience
Technical education and content
Create implementation guides, examples, demos, tutorials, and technical content for developer-facing products and platforms.
Ways to work
From a short design sprint to embedded delivery support.
The scope and duration depend on the work. These are the most common starting points.
1-2 weeks
Architecture and Solution Design
Review the problem, user and technical context, constraints, architecture, risks, and implementation plan.
4-8 weeks
Implementation Project
Design and build a defined system or feature with the team, then provide testing, documentation, training, and handover.
1-6 months
Fractional or Embedded Support
Provide senior hands-on support for architecture, implementation, technical leadership, team training, and delivery over a longer period.
Typical deliverables
What an engagement can include.
Deliverables are agreed at the start of the project and may include the following.
Software and infrastructure
Application code, agent workflows, data pipelines, APIs, templates, infrastructure, tests, and reference implementations.
Architecture and planning
Architecture diagrams, technical decisions, tradeoffs, delivery sequencing, estimates, and risk assessments.
Training and documentation
Workshops, operating guides, implementation notes, paired sessions, and code review for the internal team.
Next step
Tell us what you are working on.
Share the problem, your current technical setup, and the help you need. We will reply with relevant questions and a proposed scope.