// AI Services & Software Consulting
AI & Machine Learning Solutions
We help teams move from AI experiments to dependable production systems: choosing the right problems, designing the architecture, and shipping applications that are measurable, secure and maintainable.
Where teams get stuck
- Promising prototypes that never make it to production because nobody can say whether they are good enough.
- Answers that drift or degrade when prompts, models or source data change, with no regression tests to catch it.
- Unclear costs, data-access rules and ownership once an AI feature is in front of real users.
Capabilities
LLM applications
Retrieval-augmented generation, document understanding, copilots and conversational interfaces built on your data, with evaluation and guardrails from day one.
AI agents
Tool-using agents and multi-step workflows that integrate with your systems and APIs, designed with human-in-the-loop controls and observability.
ML pipelines
Data preparation, training, evaluation and deployment pipelines with reproducibility, monitoring and cost control built in.
AI strategy
Opportunity assessment, build-vs-buy decisions, model and vendor selection, and a phased roadmap tied to business outcomes.
Typical engagements
- AI opportunity assessment and roadmap
- Proof of concept to production hardening
- Evaluation, guardrails and observability for existing LLM apps
What you get
- Architecture and decision records
- Working application or pipeline in your cloud
- Evaluation suite and runbooks
Technologies
- Python
- TypeScript
- LLM APIs
- Vector databases
- AWS Bedrock
- SageMaker
Questions
No. We choose models and services per use case, often a mix of hosted APIs and managed services such as AWS Bedrock, and design so you can switch providers without a rewrite.
We build an evaluation set from real queries early, agree on acceptance criteria with you, and run it on every change to prompts, models or data, alongside guardrails and production monitoring.
Yes. We design retrieval and access control around your existing permissions, keep data in your cloud account, and document what is sent to which service.
Have a project in mind?
Tell us about the problem you are solving. We will reply with next steps, not a sales script.