ELMNTX helps enterprises move from AI experimentation to production‑grade impact. Vendor‑agnostic advisory, hands‑on implementation, and MLOps governance — ensuring AI products are ethical, explainable, and economically viable. Coverage spans generative AI, classical ML, computer vision, NLP, reinforcement learning, graph ML, time series, edge AI, full data engineering, conversational AI, and secure on‑prem AI agents.
From generative AI to edge inference, we cover every layer of the modern AI stack — with production‑grade delivery and measurable outcomes.
Use‑case discovery & ROI modeling, RAG architecture design on proprietary data (PDFs, wikis, Slack, CRM), fine‑tuning open/closed models, multi‑modal GenAI, and safety guardrails — toxicity filters, PII redaction, hallucination detection, HIPAA/GDPR/SOC2.
Regression, classification, clustering, uplift modeling, demand forecasting and churn prediction. AutoML advisory (DataRobot, H2O, Vertex AI), responsible AI with SHAP/LIME/counterfactuals, and legacy SAS/R modernization to cloud‑native Python/SQL.
Defect detection, medical imaging, retail shelf analytics, document OCR & layout analysis. YOLO, SAM, ViT, EfficientNet — from Label Studio labeling pipelines to edge inference on Jetson/Coral. Video analytics with DeepSORT tracking and CCTV anomaly detection.
Information extraction, relation detection, template filling for legal/medical texts. Multilingual & low‑resource NLP (mT5/mBERT zero‑shot), document understanding with LayoutLM, table extraction, and fine‑grained sentiment & emotion detection for customer feedback.
LLM selection & orchestration across OpenAI, Anthropic, Cohere and open‑source models. MLOps maturity assessment (Level 0–4), CI/CD for ML with DVC/MLflow, canary deployments, prompt tracing, token cost tracking and drift detection via LangSmith/Arize/WhyLabs.
Dynamic pricing, inventory management, recommender bandits, and autonomous control. Ray RLlib, Stable‑Baselines3, Dopamine. Sim2Real advisory — train in Unity ML‑Agents / NVIDIA Isaac, transfer to real world. Multi‑agent RL for fleet coordination and ad auction bidding.
Knowledge graphs with entity resolution & link prediction, Graph RAG for enhanced retrieval. GNNs for fraud ring node classification, friend suggestion edge prediction, and molecule property graph classification. Anti‑money laundering, supply chain risk, social network analysis.
Demand, energy and IoT telemetry forecasting — Prophet, ARIMA, DeepAR, TFT, N‑BEATS. Real‑time anomaly detection with isolation forests, LSTM/Transformer autoencoders and Prometheus. Root cause analysis via causal ML and change point detection in sensor logs.
Collaborative filtering (ALS, SVD), two‑tower neural, contextual bandits, session‑based GNNs/Transformers. Feature engineering with implicit feedback and cold‑start strategies. Real‑time serving via Milvus/Qdrant vector databases and Feast/Tecton feature stores.
Quantization (INT8), pruning, distillation and NAS for MCUs, Raspberry Pi and NPUs. Deployment via TF Lite Micro, Edge Impulse, NVIDIA Jetson and Google Coral. Federated learning across edge devices — train without centralising sensitive healthcare or mobile data.
Post‑hoc explanations — LIME, SHAP, Integrated Gradients, counterfactual examples. Interpretable models (GAMs, monotonic XGBoost). Adversarial testing via Foolbox/CleverHans, input validation, output constraints and Constitutional AI alignment for generative models.
CTGAN/TVAE for privacy‑preserving tabular data. StyleGAN and diffusion models for rare defect image generation. Back‑translation and LLM‑augmented text augmentation. Signature transform and GANs for time‑series sensor data synthesis.
"Garbage in, GenAI garbage out." We ensure your data is reliable, fresh, and governed before a single model is trained.
From auditing legacy chatbots to building omnichannel agentic systems — we design conversational AI that reduces costs and delights customers.
Review existing chatbots (Dialogflow, Lex, Rasa) for intent coverage, fallback rates, and latency bottlenecks. Produce a prioritised remediation roadmap.
Design multi‑turn, action‑oriented assistants — book appointments, process refunds, escalate to human with full conversation context and CRM data attached.
Unify chatbots + voice (Twilio, Vapi) + WhatsApp + Web with persistent session state across all channels and a single analytics layer.
Low‑latency ASR + TTS + LLM pipelines for telephony and call‑centre deflection — reducing agent handling time and improving first‑call resolution.
Seamless handoff with CRM integration (Salesforce, HubSpot, Zendesk) and agent‑assist features — context, sentiment, and suggested responses surfaced in real time.
Automate intent discovery, sentiment trends, and drop‑off analysis from transcript logs. Turn every conversation into a continuous improvement signal.
Three production‑ready AI platforms — Tenzye for tendering intelligence, ROADBOT for road infrastructure management, and AIBOT for executive decision support — deployable in your own environment.
Tenzye is an AI‑native platform that transforms the entire tender lifecycle — from RFP ingestion to award simulation — making procurement faster, safer, and data‑driven.
| Feature | What It Does |
|---|---|
| Smart Tender Ingestion | Drop any PDF/RFP. AI extracts requirements, deadlines, and clauses — no templates needed. |
| Agentic Compliance Gatekeeper | One‑click validation against 500+ regulations in <90 seconds. Flags missing docs or violations instantly. |
| Predictive Bidder Intelligence | Shows who will bid, likely winner, and high‑risk bidders — before you publish. |
| Multi‑Dimensional Evaluation | Auto‑scores bids on price, technical, risk, and innovation with customisable weightings. |
| Live Award Simulator | Drag sliders to see real‑time impact on cost, risk, and outcome. |
| Real‑Time Risk Profiler | Financial, capacity, litigation, and performance risk scores for every bidder. |
| Market Pulse Benchmarking | Compare your terms to thousands of live & historic tenders instantly. |
| Win Strategy Agent | For bidders: crafts higher‑scoring responses and optimises pricing to win. |
ROADBOT combines computer vision, 3D mapping, and predictive ML to automate road condition monitoring, asset management, and maintenance prioritisation at scale.
Key Outcomes
✅ 90% faster inspections · ✅ 95%+ defect measurement accuracy · ✅ 40% reduction in operational costs
AIBOT is an AI Executive Assistant that transforms raw enterprise data into actionable insights through natural conversation. Powered by an 8‑layer architecture combining a lifelike digital avatar, predictive analytics, and proactive alerts.
| Metric | Improvement |
|---|---|
| Decision Cycle Time | 40% reduction |
| Strategic Alignment | 35% improvement |
| Risk Identification Speed | 50% faster |
| Manual Data Gathering | 60% reduction |
Formerly AIBOX from AYKA, now rebranded as AIBOX — a turnkey enterprise AI platform that transforms organisations with next‑generation AI agents without exposing sensitive data to public models.
Architecture Stack
Your servers (bare metal / VMware / Kubernetes) → Data lake / SharePoint / Warehouse → Zero‑trust TLS 1.3 (optional air‑gap) → Open‑source LLMs (Llama, Mistral) + fine‑tuned models → REST APIs / message queues / ERP‑CRM hooks → Role‑specific AI agents → Unified policy engine, SSO + audit trails.
Deployment Strategy — 3 Phases
Deploy 2–3 agents for one department. Measure ROI and adoption in 4 weeks with limited scope.
Add system integrations, enable agent‑to‑agent handoffs, and implement fine‑grained RBAC across departments.
All departments active with custom fine‑tuned models. Predictive agents for forecasting and anomaly detection at scale.
Fully customisable corporate open‑source agent templates ship with AIBOX — ready to deploy from day one across your entire organisation.
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. Includes feasibility studies for CV, Tenzye, ROADBOT, AIBOT, or custom AI/ML consulting.
Ongoing strategic guidance without a full‑time hire. Architecture reviews, vendor selection, and team upskilling as a managed service.
Build a production MVP — a working pipeline, deployed model, or product pilot with full runbook. Covers LLM/RAG, CV, recsys, conversational AI, and more.
Hands‑on enablement for your internal team. Custom workshop plus CI/CD templates and guardrail policies 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 — never an afterthought.
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, AIBOT, and AIBOX give clients extensibility and security that pure advisory firms simply cannot offer.
Sample roadmap for AIBOT deployment for an executive team — fully adaptable to Tenzye, ROADBOT, AIBOX, or custom AI/ML consulting.
Connect to ERP, CRM, project management tools, and calendars. Map all executive data sources and define priority briefing categories.
Customise voice, personality, and communication style. Build sample briefings and validate the digital avatar with stakeholders.
Q3 results forecasting, project risk thresholds (>15% cost variation alerts), and executive priority scoring models.
Daily briefings, complex query handling, and automated meeting scheduling. Gather structured feedback on accuracy and usability.
Improve intent recognition, integrate additional data sources, and fine‑tune response quality based on executive input.
Full adoption across the leadership team with 40% decision cycle reduction measured and documented.
ELMNTX engineers, governs, and measures across every AI discipline — with our own secure products backing every engagement. UAE · India · KSA