Foundation
The governed foundation beneath every agent.
Turn your enterprise data into intelligence
HUMAIN Fabric turns fragmented enterprise data into governed, AI-ready systems in minutes, not weeks.
Intelligence
Agents built into every module.
Consult
Production AI starts with the right foundation.
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See how 
works across industries
Government and Public Sector
Agentic ERP for ministries, smart-city dashboards, and citizen-services automation.
Healthcare and Life Sciences
Arabic medical NLP, clinical data lakes, patient-record governance, and drug-interaction RAG.
Energy and Industrial
Predictive-maintenance pipelines, sensor-data ingestion, and Aramco-grade data sovereignty.
Financial Services
Fraud-detection models, Arabic-language compliance, and real-time transaction analytics.
Media and Broadcasting
Arabic content enrichment, subtitle generation, and SBA content-partnership pipelines.
Education and Research
K-12 EdTech data platforms, university research compute, and Arabic corpus curation.
Fragmented data is the real barrier to AI
Without
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Your data lives in fragmented silos: disconnected pipelines, inconsistent labels, no governance, no lineage. Agents cannot act safely on top of it.
With
Sources are unified, pipelines auto-generate, governance and lineage are enforced by default, and agents can retrieve, reason, and act on the data instantly, fully auditable.
Our Partners
Frequently
Asked
Questions
Frequently Asked Questions
HUMAIN Fabric is an AI-native data platform that ingests, processes, governs, and prepares enterprise data so AI agents can retrieve, reason, and act with full lineage and control.
HUMAIN Fabric is built for regulated enterprises across government, healthcare, financial services, energy, media, and education.
Fabric Foundation connects, stores, processes, catalogs, and governs enterprise data, creating a trusted foundation for AI.
Fabric Intelligence lets you interact with enterprise data through AI agents, conversational retrieval, and self-service analytics.
Explore the interactive platform experience, talk to our team, or engage Fabric Consult to move from AI readiness to production.
HUMAIN Fabric streamlines onboarding by unifying data sources, auto-generating pipelines, and providing a ready-to-use analytics stack so production data work can begin in minutes, not weeks.
Demo video coming soon.
The Governed Foundation Beneath Every Agent
Fabric Foundation ingests, stores, processes, catalogs, and governs enterprise data, so the intelligence layer can operate on it safely. End to end, from ingestion to insight.
Core services
From Ingestion to Insight
Six core services form the foundation of a governed enterprise data lifecycle.
Data Ingestion
Bring your data in, effortlessly.Any source, any format, any time: real-time updates, scheduled uploads, or files from cloud storage. Every source seen, every record tracked
Lakehouse Storage
Secure, unified storage for all data.Files, objects, AI-ready datasets, and raw streams in one connected system. AES-256 encrypted from day one, S3-compatible, no rewrites.
Data Processing
Turn data into insight, faster.Analyze, transform, and explore at any scale: ML dataset prep, multi-step pipelines, or billions of records in real time. Less plumbing, more insight.
Data Orchestration
Automate workflows with confidence.Every pipeline in harmony, every dependency resolved. Runs are tracked, versioned, and reproducible, so you can replay, audit, and compare.
Data Warehousing
Powerful data storage, simplified.Scattered, siloed data gathered into one reliable vault.
Data Catalog and Lineage
Find and trust your data.Your single source of truth for every data asset. Tables, topics, and pipelines auto-discovered across connected systems, with AI to get you there faster.
Components
Explore The Foundation Components
Each layer is built from specialized components across data, processing, and governance.
Vector DB
Store and search billions of high-dimensional embeddings at millisecond latency, powering semantic search, RAG, and recommendations without infrastructure overhead.
Relational DB
Store structured data, run SQL, manage schemas, save queries, and schedule jobs in one place. Postgres for the richest Fabric-native features, MySQL for wire-protocol compatibility.
Object Storage
S3-compatible storage for unstructured data and files. Buckets are searchable, sized on demand, and encrypted at rest with AES-256 per-organization keys, so your data is cryptographically isolated.
Analytics Engine
Built for large-scale aggregations and joins over big datasets. Ad-hoc exploration, dashboard backends, and read-heavy queries that run fast without separate infrastructure.
Pipeline Builder
Build pipelines visually, run them at scale. More than 300 prebuilt processors handle real-time and batch transformation with full lineage, drag-and-drop design, and no hidden execution logic.
Airflow DAGs
Orchestration in pure Python, tracked to the run. Schedule multi-step workflows, handle retries automatically and replay any past execution exactly. Every DAG versioned and auditable.
Spark and Hadoop
Petabyte-scale Spark on demand. Clusters spin up for the job and disappear when done: no idle compute, no ops overhead, full integration with Fabric lineage and catalog.
Data Catalog
Every asset discovered automatically. Tables, pipelines, and topics across every connected system, searchable by name, tag, column, or plain language as soon as they land.
Data Lineage
Always know where data has been. Trace any dataset from source to consumption: what transformed it, what depends on it, what breaks if it changes, maintained automatically.
Data Quality
Catch issues before production. Continuous pass and fail checks on every asset, with automatic alerts and root-cause signals, so bad data never silently reaches a model or a report.
Governance Tags
Governance in the data, not on top of it. Every asset tagged with sensitivity, domain, and compliance labels at ingest, so access controls and audit trails are automatic.
Business Glossary
One definition, within every team. A shared glossary linking technical assets to business terms, so engineers, analysts, and stakeholders speak the same language.
Built Into
Every Module
Ask what you need and it gets done, from data queries to storage, databases, and analytics. One platform, every tool, reachable through conversation.
MCP and
Agents
Model
Context
Tenant
Auth
Audit
Trace
Product experiences
Where Fabric Intelligence Shows Up
Across the tools and environments teams use to explore, build, retrieve, and monitor AI-powered workflows.
Fabric Ops Agent
Infrastructure that explains itself.Teams get plain-language answers: what happened, what changed, what was affected, and where to focus next. Due to AI that watches your systems around the clock, detects issues early, and investigates as soon as they appear.
Agentic RAG
Enterprise retrieval pipeline.Reads, reasons, and responds: understands intent, pulls the most relevant information across sources, and delivers accurate answers without users needing to know where to look. Every answer traceable.
Notebooks
Notebook environment for data and ML.Integrated notebook environment for data exploration, prototyping, and model development.
Form Builder
AI-assisted form creation.A form-building surface with form status, creation, and AI-assisted building.
Fabric BI
Self-service analytics workspace.Every team gets a space to turn data into interactive dashboards: drag, drop, explore, share. Or describe what you need and the agent builds it, choosing charts and connecting to live data in seconds.
Ingestion Agent
Connect and land data into Fabric.Connects to databases, APIs, files, and streams, profiles the schema automatically, and lands clean, governed data into Fabric continuously, without hand-written pipelines.
Migration Agent
Move legacy systems into Fabric.Maps source schemas to targets, plans the cut-over, validates row counts and integrity, and runs in supervised steps, so teams move fast with full traceability.
Agent Orchestrator
It already knows where to take you.One prompt, the whole platform pitches in: your data, your tools, your context. No tabs to hop, no SQL to remember, no prompt-engineering degree required.
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Production AI Starts With The Right Foundation
Native Arabic expertise, outcome-driven delivery. One integrated team across every phase — from discovery and readiness assessment to live production — so nothing falls between vendors and every result is accountable.
We meet you where you are
Wherever you are on the AI maturity curve
Organizations come to us at very different stages. We meet you at yours, and take you to the next.
You know AI matters; you're not sure where to start.
For organizations early on, who need to find where AI delivers real ROI and whether their data is ready.
Data and AI Advisory
First real use cases, first pilots
For organizations standing up their initial production use cases, who need quality data and engineering muscle to ship something that works.
Data Annotation and LabelingFabric FDE
From a few wins to many, reliably
For organizations moving from pilot to production at scale, where data quality, annotation volume, and governance have to keep pace.
AI Evaluation and AssuranceGovernance and ComplianceFabric
FDE
AI is core; now make it sharper, safer, leaner.
For organizations with AI live in production, who need continuous evaluation, governance, and managed operations to sustain it.
Data and AI Managed Services
Our services
Seven ways we operationalize AI
From AI discovery and readiness assessment to sustained operations: one integrated team, end to end, zero hand-offs.
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It begins with the AI Readiness Assessment: we map your data, systems, and goals to surface the AI use cases with the highest ROI — then turn the winners into a 90-day action plan and 12-month roadmap.
Why it matters: Most enterprise AI strategies fail not because of bad intentions, but because they skip the diagnostic work. Knowing which layer to fix first is worth more than building fast. -
We define a data vision tied to your business outcomes, design the operating model and stewardship roles, and align senior stakeholders — so data has owners, not just ambitions.
Why it matters: Strategy is the easy part; ownership is what makes it stick. Most data programs fail on the operating model, not the vision. -
Audit your data posture, define ownership, configure PII classification, and map lineage across critical pipelines. Our QuickStart turns scattered policies into an operating model in six weeks.
Why it matters: Governance bolted on after the fact turns every audit into a fire drill. Wired in from the start it becomes a query — and in regulated, sovereign environments, that's often what lets AI ship at all. -
Forward Deployed Engineering: HUMAIN Fabric engineers working inside your operating rhythm, accountable for getting AI into production. A premium tier for national-scale and mission-critical programs.
Why it matters: Most AI dies in the gap between a working demo and a live system. That last mile is an ownership problem, not a model problem — embedded engineers stay accountable until it actually ships. -
Independent evaluation across performance, safety, alignment, cultural fit, and readiness. Custom benchmarks, bias testing, and third-party validation that ends in a defensible recommendation.
Why it matters: A model graded by the team that built it isn't assured, it's hoped for. Independent evaluation is what makes "it's safe" a claim you can defend rather than assert. -
Multi-tier annotation across text, image, audio, and multimodal data — with native Arabic and MENA cultural review built in, not bolted on.
Why it matters: Models inherit their data's blind spots. In Arabic and MENA contexts, mislabeled or culturally tone-deaf data isn't a rounding error — it decides whether the model works here at all. -
Annotation pipelines, quality monitoring, and scheduled evaluations running on SLA — so your model keeps improving without 20 new hires. No hand-off. We stay on.
Why it matters: AI is never finished. Models drift, data shifts, and quality decays quietly unless someone is watching. Managed operations are what keep a system earning its place long after launch.
Build AI on Data You Can Trust
Everything your AI needs to move from data to action
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