ELMNTX moves enterprises from AI experimentation to production-grade impact — with vendor-agnostic advisory, hands-on implementation, and MLOps governance across every AI discipline.
From generative AI to edge inference, we cover every layer of the modern AI stack with production-grade delivery and measurable outcomes.
RAG architectures, fine-tuning (Llama 3, Mistral, GPT-4, Claude), multi-modal GenAI, safety guardrails, PII redaction, and hallucination detection.
Predictive & prescriptive ML — demand forecasting, churn, uplift modeling. Responsible AI with SHAP/LIME explainability and legacy SAS/R modernization.
Defect detection, medical imaging, retail shelf analytics, CCTV anomaly detection. YOLOv8, SAM, ViT, DeepSORT — from labeling to edge inference.
Information extraction, multilingual NLP, document understanding (LayoutLM), sentiment & emotion detection, legal and medical text analytics.
LLM selection, orchestration & routing. CI/CD for ML, canary deployments, prompt tracing, token cost tracking, and drift detection with LangSmith / Arize.
Dynamic pricing, inventory optimization, multi-agent fleet coordination. Sim2Real advisory: train in Unity / NVIDIA Isaac, deploy to real environments.
Knowledge graphs, fraud ring detection via GNNs, supply chain risk modeling, anti-money laundering. Graph RAG for enhanced retrieval pipelines.
Demand, energy, and IoT telemetry forecasting with Prophet, DeepAR, TFT. Real-time anomaly detection with autoencoders and causal ML root-cause analysis.
Two-tower neural recsys, session-based GNNs, contextual bandits, real-time vector search with Milvus / Qdrant, and online A/B interleaving evaluation.
Quantization (INT8), pruning, distillation for MCUs and Raspberry Pi. Federated learning across edge devices — healthcare, mobile, and IoT without data centralization.
SHAP, LIME, counterfactuals, adversarial testing (Foolbox / CleverHans), Constitutional AI alignment layers, and interpretable model alternatives like GAMs.
CTGAN/TVAE for tabular privacy, StyleGAN & diffusion for rare defect image generation, LLM-augmented text augmentation and time-series GANs for sensor data.
"Garbage in, GenAI garbage out." We ensure your data is reliable, fresh, and governed before a single model is trained.
Production-ready AI platforms you deploy in your own environment. Zero data leakage. Rapid time to value.
Agentic Tender Intelligence Platform — automates 70% of tender work with 95%+ risk-prediction accuracy and 100% compliance on every bid.
AI-powered road inspection & asset management — 95%+ defect accuracy, 90% faster inspections, deployed with 200+ government agencies.
Secure, on-prem, agentic enterprise AI platform. All processing stays inside your own servers — zero data leakage to public models.
A turnkey enterprise AI platform that transforms organizations with next-generation AI agents — without exposing a single byte to public models.
| ⚠ Sensitive data exposure to public AI | ✓ All processing inside your own servers |
| ⚠ No AI-specific security controls | ✓ Prompt injection detection + output sanitization |
| ⚠ GDPR & data residency compliance | ✓ Full audit logs + role-based agent access |
| ⚠ Agent over-permission risks | ✓ Granular just-in-time access per task |
| ⚠ No continuous AI monitoring | ✓ Real-time dashboard of every agent action |
| ⚠ Vendor lock-in on rules & pricing | ✓ Own your entire AI stack — no dependency |
Bare metal / VMware / Kubernetes → Data lake / SharePoint → Zero-trust TLS 1.3 → Llama / Mistral + fine-tuned models → REST / event hooks to ERP/CRM → Role-specific AI agents → Unified SSO + audit engine.
Fully customizable agent templates ship with AI-BOX — ready to deploy from day one across your entire organization.
From a two-week feasibility sprint to ongoing fractional AI leadership — ELMNTX meets you where you are and scales as you grow.
We audit your data, workflows, and team maturity to produce a practical AI roadmap with tooling TCO and prioritised use-cases.
Ongoing strategic guidance without a full-time hire. Architecture reviews, vendor selection, and team upskilling as a managed service.
Build a production MVP — a deployed YOLO model, LLM/RAG pipeline, recommender, or conversational agent with a full runbook.
Hands-on enablement for your team — CI/CD templates, guardrail policies, and a custom workshop tailored to your stack.
Eight principles that govern every engagement — from first advisory call to production deployment.
No Jupyter notebooks as final output. Everything is tested, versioned, monitored, and documented for real-world operation.
Data lineage, column-level security, and model compliance baked into every pipeline — not bolted on after the fact.
Not just LLMs. CV, RL, graph ML, time series, edge inference, XAI, and synthetic data — disciplines most consultancies sidestep.
Embedding pipelines and vector databases as first-class infrastructure citizens, designed from the ground up.
We recommend based on workload and your objectives — not reseller agreements, platform incentives, or commissions.
One unified framework for training on GPU clusters and inferring on a $10 MCU. One governance layer, end to end.
"Reduce time-to-insight from 5 days to 2 hours" or "deflect 40% of tier-1 tickets." We measure outcomes, not effort.
Tenzye, RoadBot, and AI-BOX give clients extensibility and security that pure advisory firms simply cannot offer.
Sample roadmap for Computer Vision — fully adaptable to LLM/RAG, recsys, time series, conversational AI, or AI-BOX deployment.
Use-case selection (e.g. manufacturing defect detection) + AI readiness report and full data audit with gap analysis.
Image ingestion → labeling (Label Studio / CVAT) → DVC versioning → Albumentations augmentation pipeline.
YOLOv8 or Vision Transformer training + active learning loop to minimize labeling cost and maximize accuracy.
INT8 quantization + TensorRT deployment to target edge device (NVIDIA Jetson, Google Coral, or custom MCU).
Drift detection (image histogram monitoring), automated retraining triggers, and canary deployment pipeline.
Inference API, observability dashboards, full production runbook, and team knowledge transfer sessions.
ELMNTX engineers, governs, and measures across every AI discipline — with our own secure products backing every engagement.