One Foundation. Every Industry. No Rebuild.
A vertical-agnostic enterprise AI foundation that our teams start from on every engagement, so the engineering effort goes into your workflows and your controls instead of into orchestration, integration, governance and measurement plumbing.
Model Independent
Commercial, open-weight and enterprise or private models behind one gateway. Model choice is configuration, not a rebuild.
Enterprise Integrated
Agents read from and write to the systems you already run, under the same permission model your people work within.
Governed by Design
Agent identity, observability, evaluation, auditability and guardrails are in the control plane, not in a policy document.
Flexible Deployment
Public cloud, private cloud, on-premises or hybrid, including private model deployment for restricted workloads.
What the Foundry is not
- A SaaS platform you have to buy or license
- A closed proprietary ecosystem
- A separate accelerator for each industry
- A replacement for Copilot Studio, Bedrock, Vertex or Agentforce
- A reason to rip out your existing systems
What the Foundry is
- Reusable technology IP our delivery teams build on
- One horizontal foundation across every industry
- The layer that makes an AI platform usable in a real workflow
- Deployed into your environment, under your control
- The reason a first solution can reach production in as little as 90 days
Build Enterprise AI Faster.
Without Giving Up Control.
The IX AI Foundry is our reusable enterprise AI technology foundation and IP. One vertical-agnostic foundation to build, integrate, govern, operate and measure production AI. It is how we build, not a platform you buy.
AI Studio
GenAI App Builder / Agent Builder / Workflow Builder / Prompt & Knowledge Capabilities / Evaluation
Agentic AI Runtime
Agent & Multi-Agent Orchestration / Planning & Reasoning / Memory / Agent & Tool Registry / Human-in-the-Loop / MCP / A2A
GenAI & Knowledge Services
Enterprise RAG / Agentic RAG / Graph RAG / Knowledge Graph / Enterprise Search / Document AI / Multimodal / Guardrails
IX AI Gateway
Commercial LLMs / Open-Weight / Private Models / Routing / Fallback / Caching / Model Optimization
Enterprise Integration Fabric
ERP / CRM / Dealer Systems / Data Platforms / Databases / APIs / SaaS / Documents / Events / Legacy
AI Control Plane
Security / Governance / Agent Identity / Observability / Evaluation / Auditability / FinOps
AI Engineering & Operations
AgentOps / LLMOps / MLOps / CI-CD / Testing / Deployment / Monitoring / Optimization
IX Value Engine
Business KPI Measurement / Automation / Productivity / Cost Savings / Revenue Impact / AI Operating Cost / ROI
Already invested in a platform?
The Foundry works alongside Copilot Studio, Bedrock, Vertex and Agentforce rather than replacing them. Those platforms give you model access and a runtime. We add the domain logic, enterprise integration, evaluation and value measurement that turn them into a working enterprise workflow.
What Each Layer Actually Does.
Agents and applications, at production standards from day one.
AI Studio is where solutions are assembled. The Agentic AI Runtime is what executes them: planning, tool use, memory, delegation between agents, and the human checkpoints that keep authority where it belongs.
Because orchestration, memory, registries and human-in-the-loop are already built, a team starts at the workflow rather than at the framework.
AI Studio
- GenAI App Builder
- Agent Builder
- Workflow Builder
- Prompt capabilities
- Knowledge capabilities
- Evaluation
Agentic AI Runtime
- Agent orchestration
- Multi-agent orchestration
- Planning & reasoning
- Agent memory
- Agent registry
- Tool registry
- Human-in-the-loop
- MCP
- A2A
Into your knowledge, your models and your systems.
Three modules. Knowledge services ground the agent in your own content with lineage and citations. The gateway keeps model choice a configuration decision. The integration fabric is what lets an agent actually do something rather than only describe it.
This layer is where most enterprise AI projects stall, and it is the largest part of what the Foundry removes from your scope.
GenAI & Knowledge Services
- Enterprise RAG
- Agentic RAG
- Graph RAG
- Knowledge Graph
- Enterprise Search
- Document AI
- Multimodal AI
- Guardrails
IX AI Gateway
- Commercial LLMs
- Open-weight models
- Enterprise / private models
- Model routing
- Fallback
- Caching
- Model optimization
Enterprise Integration Fabric
- Enterprise applications
- Data platforms
- Databases
- APIs
- SaaS
- Documents
- Events & streaming
- Legacy systems
- Enterprise tools
Control is architecture, not policy.
The control plane answers the questions a CIO, a CRO and an auditor will all ask: who is this agent, what can it reach, what did it do, why did it do that, and what did it cost.
AI engineering and operations is the run model. Agents that are deployed and never evaluated degrade quietly. This is the layer that stops that happening.
AI Control Plane
- Security
- Governance
- Agent identity
- Observability
- Evaluation
- Auditability
- FinOps
AI Engineering & Operations
- AgentOps
- LLMOps
- MLOps
- CI/CD
- Testing
- Deployment
- Monitoring
- Optimization
Proof, in your own numbers.
The IX Value Engine baselines the workflow before anything is built, then measures agent activity in production, attributes it to the business outcome it influenced, and reports in the language of operations and finance.
It exists to move the executive conversation from “which model are you using” to “what value is this system creating”.
The Measurement Cycle
- Baseline
- Measure
- Attribute
- Optimize
- Prove ROI
What Gets Measured
- Business KPIs
- Automation & throughput
- Productivity
- Cycle time
- Cost savings
- Revenue impact
- AI operating cost
- Return on investment
The IX Value Engine Measures What Matters.
The IX Value Engine baselines the workflow before anything is built, then measures agent activity in production, attributes it to the business outcome it influenced, and reports in the language of operations and finance. It exists to move the executive conversation from “which model are you using” to “what value is this system creating”.
Baseline
Capture cost, time and effort before automation touches the workflow.
Measure
Track agent activity and speed gains AI creates in production.
Attribute
Connect that activity to the business outcome it actually influenced.
Optimize
Cut cost and free up capital by tuning accuracy, latency and spend.
Prove ROI
Report ROI in the finance and operations language the business trusts.
Use the Right Model for the Right Workload.
Your AI strategy should outlive today’s preferred model. The IX AI Gateway sits between your solutions and the model ecosystem, so switching a model is a configuration change rather than a rebuild. Different workloads want different things, a high-volume classification task and a complex reasoning task should not be forced onto the same model at the same cost.
Commercial models
Frontier models where capability matters most and data policy permits.
Open-weight models
Cost-efficient and tunable, for high-volume or specialised workloads.
Enterprise & private models
Deployed inside your boundary where data cannot leave the environment.
No Rip-and-Replace AI Strategy.
AI should work inside the enterprise ecosystem, not create another isolated technology silo. The Enterprise Integration Fabric connects agents to the systems that already run your business, respecting the same permissions your people work within.
An agent that can read but not act is a search box integration is what turns a suggestion into completed work.
Enterprise Applications
- ERP
- CRM
- CPQ
- Core banking & origination
- Dealer & service management
- PLM · MES · QMS
Data Platforms
- Data warehouses
- Lakehouses
- Databases
- Document repositories
- Knowledge bases
- Enterprise search
Interfaces
- APIs
- SaaS applications
- Events & streaming
- File shares
- EDI
- Legacy applications
Enterprise Tools
- Collaboration & messaging
- Ticketing & workflow
- Identity providers
- Monitoring & observability
- Developer tooling
Your Data. Your Agents. Your Rules.
Responsible AI is not a policy page. These are the specific mechanisms in the control plane, configured on every engagement.
Agent Identity & Access
Every agent has its own identity and permission scope, inherited from your enterprise access model. Agents cannot reach data a person in that role could not.
Observability
Every step, tool call, retrieved source and decision is traced, retained and searchable.
Evaluation
Golden sets, trajectory tests and regression gates, continuous evaluation, not a one-off accuracy score.
Human Oversight
Defined checkpoints, escalation paths, override and reversal at the decisions that carry consequence.
Auditability
Complete record of inputs, sources, actions and outputs, retained for review and regulatory response.
Security & Guardrails
Policy-as-code, risk tiering, content and action guardrails, and SOC 2 aligned controls.
FinOps
Per-workflow budgets, routing rules and cost ceilings, with usage telemetry by team and use case.
Customer Ownership
You own the data, enterprise knowledge, permissions, agents, governance policies and deployment choices.
Run It Where Your Data Is Allowed to Live.
Deployment is a requirement, not a preference. The Foundry deploys into your environment under your controls.
Public Cloud
Fastest path to production for workloads without residency restrictions.
Private Cloud
Dedicated tenancy with your own network, key management and isolation.
On-Premises
Inside your data centre, including private model deployment where data cannot leave.
Hybrid
Split by workload sensitivity, with routing and policy enforced at the gateway.
Already Invested in a Platform?
The Foundry works alongside Copilot Studio, Bedrock, Vertex and Agentforce rather than replacing them.
What those platforms give you
- Model access and hosting
- A runtime and an SDK
- Basic orchestration primitives
- A place to build
What the Foundry adds on top
- Domain and workflow logic for your industry
- Integration into your ERP, core, dealer and plant systems
- Evaluation, observability and audit at enterprise standard
- Agent identity mapped to your access model
- Business value measurement through the IX Value Engine
Each Layer Removes Work From the Next.
Horizontal technology IP, vertical domain IP, then configuration around your data and systems.
IX AI Foundry
Reusable horizontal AI technology foundation
Industry AI Solution Packs
Reusable vertical and domain IP
Customer-Specific AI Solutions
Configured to your data, systems and workflows
AI Managed Services / AgentOps
Operate → Monitor → Optimize → Scale
Measurable Business Outcomes
Cycle time, cost, revenue, ROI
IX Manufacturing AI Solution Pack
Nine solution families organised by the manufacturing functions that own the budget, ready to configure on the Foundry.
- Sales Operations & Order Management
- Dealer & Distribution Network
- Aftermarket, Parts & Service
- Sourcing, Supply Chain & Global Trade
- + five more families
IX Financial Services AI Solution Pack
Eight solution families across banking, lending, wealth and asset management, and insurance.
- Onboarding, KYC & AML
- Lending & Credit Decisioning
- Fraud & Financial Crime
- Underwriting, Policy & Claims
- + four more families
The Foundry Is the Technology. This Is the Method.
Governed throughout by six pillars: business, people, data, technology, operations and governance.
Assess
Six-pillar maturity scoring · value pool and use case mapping · data and platform readiness
Align
Executive sponsorship and P&L owners · portfolio sequencing and funding · risk tiering with legal
Architect
Enterprise reference architecture · AI-ready data foundation · guardrails and policy-as-code
Activate
Workflow redesign and role change · agent build on the Foundry · evaluation and controlled release
Amplify
AgentOps run model and SLOs · reuse across business units · benefit tracking to the P&L
Phases 01 and 02 typically run 4 to 8 weeks, because most of the cost of failure is incurred before any code is written. Architecting before aligning is the most expensive mistake in enterprise AI.
IX AI Foundry Questions
Intellectyx’s reusable enterprise AI technology foundation and IP. It provides the build, integration, governance, operations and measurement layers used to deliver production GenAI and Agentic AI solutions. It is a delivery foundation, not a product customers license.
No. It is how we build. It is deployed into your environment as part of the solution we deliver, and you retain control of the data, agents and configuration that run on it.
The Foundry is horizontal technology IP that works across every industry. AI Solution Packs are vertical domain IP, such as the IX Manufacturing AI Solution Pack. Customer-specific solutions configure and extend both.
No. Those platforms provide model access and a runtime. The Foundry adds domain logic, enterprise integration, evaluation, agent identity and value measurement on top, which is what turns a platform into a working enterprise workflow.
Commercial, open-weight and enterprise or private models, all behind the IX AI Gateway with routing, fallback, caching and optimization. Model choice is a configuration decision rather than a rebuild.
Public cloud, private cloud, on-premises or hybrid, including private model deployment for workloads that cannot leave your environment.
Every agent has its own identity and permission scope, inherited from your enterprise access model. An agent cannot reach data that a person in the equivalent role could not.
As little as 90 days for a well-scoped workflow with available data, because orchestration, integration patterns, governance and measurement are already built. Timelines extend where data needs remediation, where the workflow writes back to systems of record, or where approval cycles are long.
Bring Us One Workflow.
We will walk you through the architecture against your systems, your controls and your data, and tell you straight what is feasible.
