The AI operating layer for the modern enterprise.
One governed platform to deploy generative AI, orchestrate intelligent agents, and automate mission-critical workflows across EPC, manufacturing, energy and industrial operations.
§ 02 · Who we are
The AI transformation layer for the industrial enterprise.
Gen8i builds the operating system for enterprise AI — combining generative models, autonomous agents, and process intelligence into a single secure, governed platform.
We serve EPC, manufacturing, energy, and industrial operations teams who need AI that is fast to deploy, easy to govern, and deeply integrated into the systems that already run their business.
§ 03 · Product Ecosystem
Three products. One intelligent fabric.
Use them independently or together — GEN8, Flux AI and GENFlow share a single governance, identity and data layer.
The unified Generative AI platform — Studio, Workspace, AgentOps and G-Fence in one cloud-agnostic stack.
Explore
Describe a process in plain English; GENFlow drafts, simulates and ships a governed executable workflow.
Explore
A governed operating layer that generates layouts, validates drawings, estimates scope and prepares approval-ready outputs.
ExploreBuild AI. Automate Processes. Accelerate Outcomes.
- Knowledge Hub
- AI Agents
- Security
- Governance
- Automation
- Decisioning
- Orchestration
- Integrations
- Intelligence
- Domain Models
- Business Context
- Expert Insights
Build, govern & scale Generative AI.
GEN8 is the full-stack Generative AI platform for the enterprise — author use-cases in Studio, deliver them in Workspace, run them on Unified AgentOps and govern them with G-Fence. Cloud-agnostic. LLM-agnostic. BYO Agent.
Pick the best model per use-case — OpenAI, Anthropic, Gemini, Mistral, Llama, or BYO.
Deploy on AWS, Azure, GCP or fully private cloud — your data, your perimeter.
Guardrails, PII controls, lineage, approvals and audit — GDPR & AI-Act aligned.
Token, cost, latency and quality telemetry across every model and agent.
The AI operating layer for EPC firms.
Flux AI connects the FEED decision loop — generating layouts from a governed room book, validating every output against cited standards, estimating scope and preparing approval-ready evidence.
Turn room data and design intent into coordinated FEED layouts.
Return pass, warning or fail verdicts with the exact clause cited.
Extract BOM and BOQ, apply project rates and structure cost evidence.
Evaluate vendors and revisions against one controlled project basis.
Flux AI · FEED automation
One room book. A coordinated FEED package.
Flux AI turns design intent into governed room data, then generates coordinated layouts, quantities and approval evidence from the same source.
01 · Design inputs
02 · Governed room book
03 · FEED outputs
primary drawings and engineering views
Generated, engineer-reviewed and revision-tracked.
Allied outputs
BOM / BOQ · ballpark estimate · approval evidence
From a sentence to a running workflow.
GENFlow is the AI workflow generation studio — describe a process in plain language and get an executable, governed workflow with the steps, integrations and approvals already wired up. Business users design, engineers extend.
Generate complete flows from plain English or existing SOPs.
Surface bottlenecks, rework and SLA breaches from event logs.
Branch, diff, review and roll back workflows like code.
Cycle time, throughput, cost-per-case dashboards per flow.
§ 04 · Capabilities
A complete AI stack for the enterprise.
Generative AI
LLM-powered content, summarization, and reasoning across enterprise data.
Agentic AI
Autonomous agents that plan, act, and collaborate to complete tasks.
Workflow Automation
Orchestrate end-to-end processes across people, systems and AI.
Knowledge Management
Unified, semantic access to your enterprise's collective knowledge.
Document Intelligence
Extract, classify, and reason over contracts, drawings and reports.
Process Intelligence
Discover, measure and optimize how work actually happens.
Enterprise Search
Federated search across SharePoint, SAP, Aconex, ProjectWise and more.
AI Governance
Policies, audit trails and guardrails for safe AI at enterprise scale.
Analytics & Insights
Real-time KPIs, anomaly detection and decision intelligence.
§ 05 · Industries
Purpose-built for industries that build the world.
Engineering & Construction
EPC
Manufacturing
Energy & Utilities
Infrastructure
Industrial Operations
Professional Services
§ 06 · Why Gen8i
Built for the enterprises that can't afford to get AI wrong.
Enterprise-ready
SOC2-grade controls, SSO, audit logs and tenant isolation from day one.
Secure by design
Your data never trains foundation models. Bring your own keys & models.
Faster deployment
Production AI use-cases live in weeks — not multi-quarter programs.
Lower operational cost
Reduce manual workflows up to 60% with measurable ROI.
AI governance
Policies, approvals, lineage and explainability across every agent.
Scalable architecture
Run on cloud, on-prem or hybrid. Scale from pilot to platform.
Industry expertise
Pre-trained on EPC, energy and industrial domain knowledge.
Open ecosystem
Native connectors to SAP, Salesforce, ProjectWise, Aconex, SharePoint.
See enterprise AI that actually ships.
Get a guided demo of GEN8, Flux AI and GENFlow tailored to your operations.
§ 08 · FAQ
Frequently asked questions
- What does Gen8i do?
- Gen8i builds enterprise generative AI software: GEN8 (a full-stack platform to build, govern, deploy and scale AI use cases), Flux AI (an AI operating layer for FEED process automation) and GENFlow (AI workflow generation and process intelligence).
- Which industries does Gen8i serve?
- EPC and engineering, pharma and life sciences, manufacturing, energy and utilities, FMCG, logistics, agritech and enterprise shared services such as HR and procurement.
- Is Gen8i tied to a single LLM provider?
- No. Gen8i is multi-LLM and model-agnostic. Enterprises can bring their own keys or models from OpenAI, Anthropic, Google, Azure OpenAI, or self-hosted open-source models, and plug in their own agents and MCP servers.
- How does Gen8i handle data security and governance?
- Customer prompts and documents are never used to train third-party foundation models. Deployments run on managed or private cloud with role-based access, audit trails, output lineage and the G-Fence governance layer.
- How quickly can an enterprise go live?
- Most engagements start with a 30-day pilot on a single high-value use case, then scale use-case by use-case on the same governed platform.