ICEL TECH.
We build practical AI—LLM apps, automations, and custom models—on Azure OpenAI, Amazon Bedrock, Google Gemini and n8n. Our R&D engineers also design raw algorithms across supervised, unsupervised, reinforcement and deep learning.
Threat Detection LLM apps • chatbots • copilots
n8n automations & agents
Custom ML • SL/UL/RL/DL
Responsible AI • governance
Workshops, ROI analysis, data/readiness assessment and model selection options.
Rapid PoCs: RAG/agent flows, prompts, evaluation harness and success metrics.
APIs, UI, n8n workflows, vector search, analytics and security controls.
MLOps, observability, human‑in‑the‑loop, A/B tests and cost optimization.
From LLM usage to ground‑up algorithms, we deliver production‑ready AI with strong security and governance.
We pick based on data residency, governance, security/compliance, model fit, cost and integration needs. Many clients go multi‑cloud with a primary and a backup.
Yes. We support prompt tuning, LoRA/parameter‑efficient methods, embeddings, and classic supervised training—paired with evaluation harnesses and safety checks.
We design caching, truncation, batching, model routing and observability dashboards. We also test cheaper/compact models for suitable tasks.
We implement encryption, identity controls, redaction, data minimization, network isolation and tenancy boundaries with audit logging.