Generative AI
Generative AI development services
LLM systems that answer from your data, not the model's guess.
Retrieval-grounded LLM systems, drafting and copilot tools, and content generation pipelines - built with citations back to source, human review at the escalation points that matter, and an evaluation harness that catches a regression before your users do.
What this covers
- Retrieval-augmented generation grounded in your own documents and data
- Copilot and drafting tools embedded in existing workflows
- Prompt and output evaluation harness with regression testing
- Human review gates on anything customer-facing or high-stakes
How we engage
- Scope the use case and the failure modes that actually matter
- Build a retrieval-grounded prototype against real documents
- Ship with an evaluation harness and a human-review gate in place
More in AI & Data Intelligence
Most engagements draw on more than one capability, built as a single stack rather than separate practices.
- AI & Data ScienceFrom a question nobody can answer to a model in production answering it.
- Machine Learning EngineeringModel development that survives contact with real data.
- Computer VisionTeaching a camera to catch what a person would miss on the tenth pass.
- Natural Language ProcessingStructure out of the text nobody has time to read.
- Agentic AIAutonomous agents for the decisions that are routine, not the ones that aren't.
- Recommendation SystemsThe right item in front of the right person, measured, not guessed.
- Data Wrangling & Feature EngineeringThe unglamorous 80% of a model's performance nobody budgets for.
- Data Engineering & Systems IntegrationTrustworthy data, and systems that were never designed to talk actually talking.
- MLOps & AI Platform EngineeringThe unglamorous layer that decides whether your models survive contact with production.
Common questions about Generative AI
Can't find what you're looking for? Ask us
Do we need a data platform in place before we can do AI?
Not a finished one, but you need the feeds the model depends on to be reliable. Data engineering and MLOps are capabilities inside this pillar precisely because most stalled AI programmes are actually stalled data programmes - we build the two together rather than waiting on one.
Ready to talk through your next move?
Book a 30-minute strategy session with a ECLACTRA™ lead - no sales deck, just a straight conversation about where AI, geospatial, engineering, or fractional leadership could actually move the needle.