Services
Everything you need to move from prototype to production
We partner with startups, small- and medium-sized enterprises (SMEs), and enterprise teams to deliver the artificial intelligence (AI) capabilities that matter most.
Artificial intelligence (AI) strategy and roadmap
Define the right use cases, build a delivery plan, and align stakeholders around measurable impact.
Typical outcomes
- Prioritized use-case backlog
- In-house versus partner decision guide
- Risk and compliance checklist
Data engineering and foundations
Design trustworthy data pipelines, quality gates, and feature foundations that scale with growth.
Typical outcomes
- Reliable data pipelines
- Automated validation and alerts
- Documented data ownership
Model development and evaluation
Build custom machine learning (ML) and large language model (LLM) solutions with transparent evaluation and repeatable experiments.
Typical outcomes
- Offline and online evaluation plans
- Model performance benchmarks
- Deployment-ready artifacts
Machine learning operations (MLOps) and large language model operations (LLMOps)
Deploy models safely with continuous integration / continuous delivery (CI/CD), monitoring, and governance that hold up in production.
Typical outcomes
- Release automation
- Drift and quality monitoring
- Incident response playbooks
Workshops and enablement
Upskill teams with targeted workshops and co-building sessions tailored to your stack.
Typical outcomes
- Practical team playbooks
- Shared tooling standards
- Accelerated internal adoption
Next step
Let's map your artificial intelligence (AI) roadmap together.
We'll review your goals, data readiness, and delivery constraints to recommend the right engagement.