# Data Nectar

> Data Nectar engineers AI, analytics and data platforms that turn enterprise data into competitive advantage.

## Pages

- [Home](https://data-nectar.com/): Overview of AI, data engineering and digital transformation services.
- [Services](https://data-nectar.com/services): AI/ML, Generative AI, Data Engineering, BI, Data Strategy and Digital Transformation.
- [Industries](https://data-nectar.com/industries): Pharma, EPC, manufacturing, supply chain, healthcare, technology and AI-native sectors.
- [Technologies](https://data-nectar.com/technologies): Cloud, data and AI platforms we build on.
- [Case Studies](https://data-nectar.com/case-studies): Production AI use cases with measurable outcomes.
- [About](https://data-nectar.com/about): Company, team and global offices in India, UK, USA and Norway.
- [Resources](https://data-nectar.com/resources): Articles, frameworks and reference architectures.
- [Contact](https://data-nectar.com/contact): Get in touch to start an engagement.

## Solutions

### [GEN8](https://data-nectar.com/solutions/gen8)

GEN8 is Data Nectar's flagship full-stack Generative AI platform — a cloud-agnostic, LLM-agnostic accelerator framework for building enterprise knowledgebases with insight extraction and content creation across regulated, mission-critical workflows. It ships as two surfaces on one governance fabric: GEN8 Studio, where builders visually compose prompts, tools, retrievers, evaluators and multi-agent flows with BYO models, data and guardrails; and GEN8 Workspace, a governed consumption layer giving business users secure chat, knowledge assistants and embedded agents inside the tools they already use. Its capabilities are organised as the Power of 8 — Connect (governed connectors to SharePoint, SAP, Aconex, ProjectWise and 100+ sources), Build, Validate (evals, hallucination and PII red-teaming), Deploy (AWS, Azure, GCP or private cloud, as apps or APIs), Finetune (lineage-tracked domain tuning of open models), Scale (tenant isolation, quotas, autoscaling agents and retrieval), Monitor (token, cost, latency and quality telemetry) and Govern (G-Fence guardrails, PII controls, approvals, lineage and audit, GDPR and EU AI Act aligned). Stated outcomes: 10× faster time-to-PoC, roughly 60% lower operating cost, and a smooth path from assessment to production deployment in weeks rather than months.

### [Flux AI](https://data-nectar.com/solutions/flux)

Flux AI is a modular AI operating layer for EPC consultants and service providers that reads, validates and acts on engineering drawings, tenders, vendor proposals and compliance documents in real time. It exists because enterprise documents don't talk to each other: contracts sit in legal drives, drawings in CAD vaults, quotes arrive as PDFs and emails, and compliance evidence lives in audit binders — so a $2M RFQ crosses seven tools and four teams with no single source of truth. Flux answers that with a six-hub architecture: the Drawing Hub for multimodal P&ID, GA and MEP analysis with symbol/tag extraction, version diff and clash flagging; the Tenders Hub for RFP summarisation, auto-drafted proposals and RAG Q&A grounded in past wins; the Vendor Hub for three-way vendor comparison, anomaly detection and compliance scoring across PDFs and email; the BOQ Hub for bill-of-quantity extraction, normalisation and cross-project pricing intelligence; the Deliverables Hub for generating compliant letters, datasheets and MTOs with cited evidence; and the Knowledge Hub, a grounded RAG layer over WHO GMP, EU Annex 1, FDA 21 CFR and internal standards. The platform is GMP/FDA-aligned, audit-ready and pharma-grade, and reports 70% drawing review time saved, 5× faster tender response, a 94% GMP compliance score and roughly 921 engineer hours recovered per month, typically proven in a 30-day pilot.

### [GENflow](https://data-nectar.com/solutions/genflow)

GENflow is Data Nectar's AI workflow generation studio: describe a process in plain language, sketch it on a canvas or import an existing SOP, and GENflow produces an executable, governed workflow with the right steps, decision branches, integrations and approvals already wired up. Unlike traditional BPM tools that assume you already know the process, GENflow helps you discover it — mining systems and event logs to surface how work actually flows before proposing the optimal automation. Its six pillars are AI workflow generation from prompts or SOPs, process intelligence that exposes bottlenecks, rework loops and SLA breaches, Git-style versioning with branching, diffs, review and rollback under approval, live KPI dashboards for cycle time, throughput and cost-per-case, native connectors to SAP, Salesforce, ServiceNow, SharePoint and more, and a governed runtime on GEN8 with guardrails, lineage and audit by default. Business users design, engineers extend and governance teams approve — all on the same versioned, observable artifact. Stated outcomes: live workflows in minutes rather than months, around 80% less effort than traditional BPM, and zero lines of code required.

## Case Studies

- [GEN8 AI Accelerator Framework](https://data-nectar.com/case-studies/gen8-ai-accelerator): Cross-Vertical — An enterprise-grade AI backbone to build, validate and deploy domain-specific AI workflows with governance, security and scale.
- [G8Rep — AI-Driven Research Report Generation](https://data-nectar.com/case-studies/g8rep-research-reports): Innovation / R&D / Strategy Consulting — Cuts research report cycles from 5–7 days to a few hours through agentic synthesis across internal and external sources.
- [DocEX — Clinical Research Data Structuring](https://data-nectar.com/case-studies/docex-clinical-structuring): Pharma / Biotech — Turns a decade of scattered clinical Excel files into regulatory-ready structured data using NER and medical ontologies.
- [DrawEX — P&ID Compliance Scoring](https://data-nectar.com/case-studies/drawex-pid-compliance): EPC / Manufacturing / Pharma — Validates P&ID drawings against 35+ compliance checkpoints in under three minutes instead of four hours.
- [VendorEX — Vendor Proposal Analysis](https://data-nectar.com/case-studies/vendorex-proposal-analysis): Pharma Manufacturing — Compares 50–200 page vendor proposals through natural-language queries — minutes instead of days.
- [BOQ Comparison & Cost Deviation Engine](https://data-nectar.com/case-studies/boq-cost-deviation): Construction / EPC — Aligns design vs implementation BOQs, surfacing cost creep in week 2–3 instead of project close.
- [VendorIntel — Vendor Intelligence & Negotiation Optimisation](https://data-nectar.com/case-studies/vendorintel-negotiation): FMCG Retail — Conversational vendor intelligence that turns scattered data into negotiation-ready insights in seconds.
- [Central Intelligence Platform — Chemical Industry](https://data-nectar.com/case-studies/central-intelligence-chemical): Chemicals / Pharma — Knowledge graph plus regulatory monitoring, SDS automation and an eco-alternative recommender for chemical R&D.
- [Cortex-GRC — AI Risk Assessment & Compliance Framework](https://data-nectar.com/case-studies/cortex-grc): Enterprise (Cross-Vertical) — Automates AI risk scoring and multi-regulation compliance for GDPR, ISO 42001 and the EU AI Act.
- [AI Interview Summariser & Recommendation Engine](https://data-nectar.com/case-studies/interview-summarizer): Recruiting / Talent Ops — Transcribes interviews, extracts competencies and produces standardised hiring recommendations in minutes.
- [G8 HREx — AI Talent Search & Shortlisting](https://data-nectar.com/case-studies/g8-hrex-talent-search): HR Tech / Recruitment — Semantic talent search, CV scoring and outreach automation across a 100K+ candidate base.
- [Intelligent Document Processing for Logistics](https://data-nectar.com/case-studies/logistics-idp): Logistics / Supply Chain — Processes 15K+ shipping documents a day with confidence-scored extraction and real-time ERP sync.
- [Automated Email Reply + CRM Sync](https://data-nectar.com/case-studies/email-reply-crm): SaaS / Support — Classifies, replies and routes 5K+ support emails a month with context-rich CRM tickets.
- [Farmhand — Process Data Intelligence](https://data-nectar.com/case-studies/farmhand-john-deere): Agritech — Real-time efficiency scoring and recommendations across 50+ telemetry signals on farm equipment.
- [Procurement Intelligence Engine — FMCG](https://data-nectar.com/case-studies/procurement-intelligence-fmcg): FMCG / Retail — Vendor scoring, bid analytics and negotiation recommendations across $200M+ of annual spend.
- [AI-Based 3D Cabinet Generation from Architectural Plans](https://data-nectar.com/case-studies/ai-3d-cabinet-generation): Architecture / Interior Design / Construction — Converts 2D architectural plans into parametric 3D cabinet layouts in under ten minutes.
- [AI-Based Facial Skin Analysis & Product Recommendation](https://data-nectar.com/case-studies/facial-skin-analysis): Skincare / D2C Commerce — Real-time webcam skin analysis with personalised product recommendations and seamless e-commerce checkout.
- [PharmaGEN8 — AI Platform for Pharma Engineering, Compliance & Operations](https://data-nectar.com/case-studies/pharmagen8-platform): Pharma Manufacturing / EPC — A unified, AI-powered platform connecting design, compliance and procurement across pharma manufacturing.

## Resources

- [A pragmatic blueprint for enterprise GenAI](https://data-nectar.com/resources): Playbook — How to move from pilots to production-grade AI in six structured stages.
- [Designing a modern lakehouse on Snowflake & Databricks](https://data-nectar.com/resources): Architecture — Reference patterns, cost considerations and governance trade-offs.
- [The economics of self-service analytics](https://data-nectar.com/resources): Whitepaper — Quantifying the ROI of semantic layers and embedded BI in 2026.
- [RAG done right: enterprise retrieval at scale](https://data-nectar.com/resources): Guide — Vector stores, evaluation and observability for production knowledge assistants.

## Full content

- [llms-full.txt](https://data-nectar.com/llms-full.txt): Complete text of every solution page, case study and resource.