Application workspaces
Organise prompts, instructions, tools, knowledge sources, test cases and releases inside controlled workspaces.
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AI Platform
AI Platform
One operating plane for enterprise intelligence.
Build AI applications, connect private knowledge, coordinate agents, operate models and enforce governance across cloud, on-premise, edge and air-gapped environments.
The enterprise layer between models and operations.
Ingenious AI is designed as a governed operating environment rather than a single chatbot. Applications, knowledge, agents, models, integrations, analytics and security operate through shared controls and traceable workflows.
07Experience
Assistants, copilots, applications, dashboards and APIs.
06Orchestrator
Agents, workflows, tools, routing, evaluations and human review.
05Models
Ingenious cognitive models, BYOM, specialised models and inference control.
04Knowledge
RAG, document intelligence, knowledge graphs, citations and policy.
03Data Core
Ingestion, indexing, metadata, permissions, lineage and residency.
02Trust
Identity, RBAC, SSO, MFA, policy enforcement, audit and verification.
01Infrastructure
Private cloud, on-premise, edge, sovereign and air-gapped runtime.
Build secure AI applications without separating design from governance.
Create assistants, copilots and domain applications using governed prompts, reusable workflows, private knowledge, tools, model policies and evaluation suites.
Quality and safety tests
Assess relevance, groundedness, logic, policy alignment, confidence and review requirements before deployment.
Release and monitoring
Publish approved versions, track usage, review traces and manage changes through governed release cycles.
Turn documents and data into a governed knowledge system.
Ingest PDFs, policies, reports, websites, databases and API feeds. Preserve source context, access controls, citations and relationships so every answer can be traced.
Document intelligence
Extract structured content, classify documents, detect metadata, segment by meaning and preserve page-level source references.
- PDF and report ingestion
- Structured and unstructured data
- Multilingual content pipelines
- Access-aware retrieval
Knowledge graphs
Represent concepts, entities, rules and dependencies as explicit relationships that support reasoning beyond document retrieval.
- Semantic entity linking
- Policy and obligation graphs
- Relationship-aware retrieval
- Explainable evidence trails
Plan, execute, verify and recover complex workflows.
Specialised agents collaborate through a governed orchestration layer. Every tool call, decision, result and exception remains observable and reviewable.
Retrieve and synthesise
Search private and approved external knowledge, compare sources and produce cited evidence packages.
Evaluate options
Build decision trees, simulate scenarios and send structured problems through DFAM appraisal.
Check before delivery
Review logic, evidence, consistency, confidence and escalation requirements.
Operate tools
Invoke APIs, databases, workflows, enterprise software and communication systems.
Maintain continuity
Store approved user, task and organisational context across sessions and long-running workflows.
Apply policy
Evaluate rules, ethical dimensions, permissions, review gates and audit obligations.
Design and manage proprietary cognitive model families.
Support model development from corpus preparation and schema alignment to evaluation, quantisation, deployment and version control.
Curated corpora
Prepare structured, domain-targeted training and evaluation data with lineage, filtering and governance records.
Cognitive schemas
Align outputs with CFAM, DFAM, agent, knowledge graph and verifier interfaces.
Versioned releases
Track model versions, benchmarks, deployment formats, quantisation and rollback compatibility.
Keep data, models and operational control inside approved boundaries.
Use dedicated private cloud, on-premise infrastructure, edge devices or air-gapped environments while maintaining the same platform controls.
Private Cloud
Dedicated, isolated environments with enterprise identity and observability.
Managed deploymentOn-Premise
Deploy inside customer-owned infrastructure and network controls.
Local controlEdge
Compact model interfaces and local cognitive operations close to the task.
Low latencyAir-Gapped
No internet or external API dependency for sensitive environments.
Full isolationStart with a controlled pilot. Expand without rebuilding the architecture.
Secure first deployment
Private AI chat, RAG document intelligence, knowledge access, dashboards and account management.
Department and enterprise scale
Agents, workflows, memory, analytics, APIs, integrations and dedicated model access.
Maximum operational control
Dedicated or on-premise infrastructure, air-gapped capability, BYOM, custom training and enterprise governance.