Rated Rich on AI-Ops, data management, reliability and cost — the only platform in this comparison to score Rich on all four.
The enterpriseData-AI platform.
Six layers — from deployment and data to reasoning and solutions — with AI-Ops running across all of them. One stack that turns enterprise data into governed, autonomous operations.
Processing
& Cache
Compute
Telemetry
Data
Data
Data
Data
Data
Events
Hover a layer to highlight it
- Transport link lost
- Local tower offline
- Service drop detected
- User complaints logged
- Analyzed all sources
- Identified root cause
- Fix applied & logged
Data sources
Business rules
Systems of action
Select a play point to watch each layer
One stack, layer by layer.
Solutions call the reasoning plane; the AI engine runs jobs on distributed compute; the control plane governs every action; the data plane unifies every kind of data; and it all deploys wherever your data must stay.
AI-native apps and identity services on one platform. Packaged solutions and copilots your teams use every day.
Agents plan, call tools and act. ReAct planning turns a goal into a sequence of governed actions.
Executes AI jobs on distributed computing — from data prep and fine-tuning to real-time inference.
Schemas, policy guardrails, workflows and integration rules keep every action governed and auditable.
Structured, unstructured, streaming, graph and vector data unified in one place, ready for reasoning.
Runs where your data must stay — cloud, on-premise, hybrid or edge — as one containerised stack.
A verified model of how your business works
The ontology maps customers, orders, assets, contracts and processes into one semantic layer. Agents reason over verified facts and links instead of guessing — and every action they can take is defined on the object itself.
Customer
Segmentlifetime valuechurn riskconsent
Linked toholdsAccountsignsContractplacesOrderraisesTicket
Actions agents can take- Offer a retention plan
- Escalate to the account manager
Account
Balancestatusproduct holdings
Linked toholdsCustomersettlesInvoice
Actions agents can take- Flag unusual activity
- Recommend the next product
Contract
TermSLArenewal datevalue
Linked tosignsCustomercoversNetwork site
Actions agents can take- Prepare the renewal
- Alert on SLA breach
Invoice
Amountdue dateageingdisputes
Linked tobilled byOrdersettlesAccount
Actions agents can take- Send a payment reminder
- Resolve a deduction
Network site
Locationhealthtrafficrevenue
Linked toaffectsTicketcoversContract
Actions agents can take- Run a remote reset
- Dispatch a field engineer
Order
Itemsvaluechannelfulfilment status
Linked toplacesCustomerbilled byInvoicecontainsProduct
Actions agents can take- Reroute fulfilment
- Expedite a delayed order
Ticket
Issueprioritysentimentowner
Linked toraisesCustomeraffectsNetwork site
Actions agents can take- Auto-resolve
- Assign to the right team
Product
SKUpricestock levelmargin
Linked tocontainsOrdersourced fromSupplier
Actions agents can take- Reorder stock
- Adjust the price
Supplier
Reliabilityrisk scorelead time
Linked tosourced fromProduct
Actions agents can take- Switch to a backup supplier
- Renegotiate terms
Select any object in the graph
From connection to autonomous execution
- 01
Enterprise Data Integration
Connect to CRM, ERP, databases, data warehouses, APIs, and legacy systems. No system replacement required.
- 02
Semantic Intelligence Layer
Build a knowledge graph of your organization — customers, orders, assets, contracts, operations, processes.
- 03
AI Reasoning Engine
AI analyzes business context, infers relationships, plans operational actions, and executes multi-step processes.
- 04
Autonomous Execution
Using ReAct planning, NexusAI plans actions, executes workflows, coordinates systems, and monitors outcomes.

Runs where your data must stay
Regulated data never has to leave your walls. NexusAI ships as one Kubernetes-based stack that runs in your cloud, in your data centre, at the edge — or across all three.
- One stack on Kubernetes, with Spark and Ray for distributed compute
- CPU, GPU and TPU execution for training, fine-tuning and real-time inference
- Policy guardrails, observability and security built into every layer
- Connectors, ETL and change data capture — nothing to rip out
How NexusAI compares
Ontology and AI governance on par with Palantir and Dataiku — the foundations regulated enterprises ask for first.
Good across catalogue, builder, simulation and tooling — where several agent tools have nothing at all.
| Platform | Enterprise readiness | Operational AI | Business agility | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ontology | AI governance | Agentic AI | Human control | AI-Ops | Data management | Reliability | Cost effectiveness | Solution catalogue | Solution builder | Simulation | Tooling ecosystem | |
| NexusAI | Rich | Rich | Good | Good | Rich | Rich | Rich | Rich | Good | Good | Good | Good |
| Palantir | Rich | Rich | Rich | Rich | Good | Rich | Rich | Rich | Rich | Good | Rich | Rich |
| Dataiku | Rich | Rich | Good | Good | Good | Rich | Rich | Rich | Rich | Good | Good | Good |
| Glean | Rich | Rich | Good | Good | Good | Rich | Good | Good | Rich | Good | Good | Rich |
| Hebbia | Not available | Rich | Rich | Good | Good | Good | Good | Good | Rich | Not available | Not available | Not available |
| Writer | Good | Good | Good | Good | Good | Good | Good | Good | Rich | Not available | Not available | Good |
| LangFlow | Not available | Good | Rich | Rich | Good | Good | Good | Rich | Rich | Not available | Not available | Good |
| Crew AI | Not available | Rich | Rich | Rich | Rich | Good | Good | Good | Good | Not available | Not available | Rich |
| Dust | Good | Rich | Rich | Rich | Rich | Rich | Good | Good | Rich | Good | Not available | Good |
| n8n | Not available | Not available | Rich | Rich | Good | Good | Good | Good | Rich | Good | Not available | Good |
NexusAI internal assessment based on publicly available product information, 2026. Ratings are indicative.
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