Artificial IntelligenceGenerative intelligence, engineered for production
Agentic systems, retrieval platforms and applied machine learning that move from prototype to production — with evaluation, guardrails and cost control built in.
A working AI demo is quick to build; getting one into production takes more: retrieval quality, evaluation harnesses, guardrails, observability, cost budgets and a rollback path. GIKOS builds AI the way we build any critical system — measurable, testable and operable — so it holds up with real users and real data.
Capabilities
What this practice actually delivers
Generative AI & LLM applications
Copilots, document intelligence, summarisation and natural-language interfaces built on models from Anthropic, OpenAI and the open-weight ecosystem — with prompt versioning, structured outputs and fallback strategies.
Agentic workflow automation
Multi-step agents that plan, call your tools and APIs, and escalate to a human when confidence drops. Deterministic where it must be, autonomous where it pays.
RAG & knowledge platforms
Ingestion pipelines, chunking strategy, hybrid and vector retrieval, re-ranking and citation — turning scattered documents, tickets and wikis into an answerable knowledge base.
Machine learning engineering
Forecasting, classification, recommendation, anomaly detection and computer vision — from feature engineering to serving, with drift monitoring and retraining pipelines.
LLMOps & evaluation
Golden datasets, automated regression suites, LLM-as-judge scoring, red-teaming, token and latency budgets, and dashboards your product owner can actually read.
Responsible AI & governance
PII handling, model cards, audit trails, access control, jailbreak defence and human-in-the-loop review designed to support legal, security and compliance requirements from the start.
Outcomes
What changes for you
- Cut manual document handling time by automating triage, extraction and summarisation
- Give frontline teams instant, cited answers from decades of internal knowledge
- Reduce cost per AI transaction with routing, caching and right-sized models
- Release with confidence using automated evaluation gates in CI
Deliverables
What you receive
Use-case portfolio with value and feasibility scoring
Reference architecture and data-flow diagram
Production application with evaluation suite
Runbook, cost model and enablement workshops
Stack we work in
These practices combine well with AI
All services
Ready to talk ai?
Bring us the problem, the constraint or the stalled programme. You will get an engineer's answer, not a brochure.
We reply to every enquiry within one business day.