Your AI Strategy Should Outlive Today’s Preferred Model.
The model layer is the fastest-moving part of this market and the easiest to get locked into. We designed the IX AI Foundry so that changing a model is a configuration decision, not a rebuild.
Use The Right Model For The Right Workload
A high-volume document classification task and a complex multi-step reasoning task should not be forced onto the same model at the same cost. The IX AI Gateway sits between your solutions and the model ecosystem so each workload can be routed to what actually suits it.
The same principle applies upward. If your institution cannot send data to a public model, private deployment is a configuration choice rather than a different project.
See How We BuildCommercial
Frontier models where capability matters most and data policy permits.
Open-weight
Cost-efficient and tunable, for high-volume or specialised workloads.
Private
Deployed inside your boundary where data cannot leave the environment.
Three Kinds of Relationship.
Most vendors blur these together. We separate them, because a logo on a page should tell you something true.
Formal partnerships
Signed agreements with cloud, data and model providers, including certifications and joint go-to-market where they exist.
- Contractual relationship
- Certified engineers
- Joint delivery support
- Marketplace availability where applicable
Technologies we build on
The platforms our engineering teams use daily to design, build, run and observe production AI systems.
- Used in delivered engagements
- In-house engineering depth
- Reference architectures maintained
- No commercial relationship implied
Systems we integrate with
The enterprise applications our clients already run, which agents read from and write to through the Enterprise Integration Fabric.
- Integrated on live engagements
- Permission model respected
- No replacement required
- No endorsement implied
The Platforms We Build On. The Systems We Build Into.
Three rows, three different kinds of relationship. We keep them separate so a logo on this page tells you something true.
Cloud & data platforms
Where the solutions we build are deployed and where enterprise data already lives.
Microsoft AzureCloud
Amazon Web ServicesCloud
Google CloudCloud
DatabricksData & AI
SnowflakeData platformModel providers
Models are interchangeable by design. The IX AI Gateway means the model behind a workflow is a configuration decision, not an architectural commitment.
OpenAICommercial
AnthropicCommercial
GoogleCommercial
Meta LlamaOpen-weight
Mistral AIOpen-weight
KimiOpen-weightPlus enterprise and private models deployed inside your own boundary where data cannot leave the environment.
Enterprise systems we integrate with
Named systems our agents have been integrated with on delivered engagements. This is the row most AI firms cannot show, because they have not done the work.
Row 3 names reflect integrations delivered on client engagements; no partnership or endorsement is implied. Manufacturing platforms listed are the systems these workflows run on; named platform integrations require confirmation from delivery before publication.
The Stack Behind the IX AI Foundry.
What our engineering teams use to design, build, run and observe production AI systems.
Cloud & infrastructure
- Microsoft Azure
- Amazon Web Services
- Google Cloud
- Kubernetes
- Docker
- Terraform
- GitHub Actions · Azure DevOps
- Private cloud & on-premises
Agent orchestration
- LangGraph
- LangChain
- LlamaIndex
- CrewAI
- AutoGen
- Semantic Kernel
- MCP (Model Context Protocol)
- A2A
Model gateway & routing
- LiteLLM
- Azure OpenAI Service
- Amazon Bedrock
- Google Vertex AI
- Model routing & fallback
- Semantic caching
- Cost ceilings per workflow
Vector & knowledge stores
- Pinecone
- pgvector (PostgreSQL)
- Weaviate
- Qdrant
- Chroma
- Azure AI Search
- Elasticsearch · OpenSearch
- Neo4j (knowledge graph)
Observability & evaluation
- LiteLLM (usage & cost telemetry)
- Langfuse
- LangSmith
- Arize Phoenix
- Ragas · DeepEval
- OpenTelemetry
- Datadog · Grafana
Model hosting & tuning
- Hugging Face
- vLLM
- Ollama
- Azure Machine Learning
- Amazon SageMaker
- LoRA / QLoRA fine-tuning
- Private & air-gapped deployment
Data & pipelines
- Snowflake
- Databricks
- PostgreSQL
- MongoDB
- Redis
- Kafka · Confluent
- Airflow
- dbt
- MLflow
Document & multimodal AI
- Azure Document Intelligence
- AWS Textract
- Google Document AI
- Unstructured.io
- Docling
- LlamaParse
- OCR & layout extraction
- Vision & audio models
Identity, security & guardrails
- Microsoft Entra ID
- Okta
- Keycloak
- HashiCorp Vault
- Azure Key Vault
- Policy-as-code (OPA)
- Content & action guardrails
- Audit logging
Stack components are selected per engagement based on your existing estate, data residency requirements and workload profile. The Foundry is not tied to any single component in this list.
Agents Work Inside the Systems You Already Run.
No rip-and-replace. These are the platform categories and named systems our agents have been integrated with on delivered engagements.
Financial Services
Integrated on delivered engagements across lending, banking, wealth and post-trade operations.
- Encompass LOS
- Blend
- Fiserv DNA
- OSI
- Accu Systems
- LoanPro
- Experian
- Plaid
- Hawk AI
- Sumsub
- LexisNexis
- Wealthbox CRM
- Black Diamond
- Schwab
- Holistiplan
- DTCC
- Bloomberg / BETA
- Salesforce
- Twilio
- SharePoint
- QuickBooks
- Sage
Named systems reflect integrations delivered on client engagements. No partnership or endorsement is implied.
Explore Our AI Solution PackManufacturing
Integrated across commercial operations, dealer networks, aftermarket, sourcing and plant systems.
- ERP sales & distribution
- CPQ platforms
- CRM
- Dealer management systems
- Dealer portals
- Service management
- Parts catalogues
- Warranty systems
- Contact centre platforms
- PLM
- CAD & specifications
- MES
- QMS
- Historian & CMMS
- ERP materials & procurement
- WMS & TMS
- Customs & broker systems
- EDI & event streams
Platform categories reflect integration patterns delivered on manufacturing engagements.
Explore Our AI Solution PackAlready Invested in a Platform?
We work alongside Copilot Studio, Bedrock, Vertex and Agentforce rather than replacing them. If you have already bought one, that investment stands.
What those platforms give you
- Model access and hosting
- A runtime and an SDK
- Basic orchestration primitives
- A place to build
What we add 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
Three Ways We Work Together.
We are always interested in relationships where the client outcome gets measurably better, and not interested in referral arrangements that only move margin around.
Cloud & platform partners
We deliver AI workloads onto your platform, and your field teams get a partner who can close mid-market enterprise deals quickly.
- Co-sell and joint pursuits
- Marketplace transactability
- Reference architectures on your stack
- Committed spend drawdown
ISVs & industry platforms
If your platform runs a critical enterprise workflow, we build the agentic layer that sits on top of it, inside your customers’ environments.
- Embedded AI capability for your product
- Integration and connector development
- Joint solution packaging
- Shared implementation delivery
Consultancies & systems integrators
You own the client relationship and the transformation programme. We bring the enterprise AI foundation and the delivery depth behind it.
- Subcontracted AI delivery
- Architecture and assurance support
- AgentOps run capability
- White-labelled where required
Ecosystem Questions
No. We are model independent. The IX AI Gateway supports commercial, open-weight and enterprise or private models with routing, fallback, caching and optimization, so model choice is a configuration decision rather than a rebuild.
Whichever one you already run. Azure, AWS, Google Cloud, private cloud, on-premises or hybrid. Deployment follows your data residency, security and regulatory requirements, not our preference.
Our business is consulting, development and managed services. Technology recommendations are made on fit for your workload and estate. Where a formal partnership exists it is disclosed on this page.
No. The IX AI Foundry works alongside those platforms. They provide model access and a runtime. We add domain logic, enterprise integration, evaluation, agent identity and value measurement on top.
No. This page separates formal partnerships from technologies we build on and systems we integrate with. Named systems in the integration section reflect delivered client integrations, with no partnership or endorsement implied.
Yes. We regularly work alongside incumbent SIs, either as the AI delivery specialist inside a wider programme or as an architecture and assurance partner.
Yes, for consultancies and systems integrators who own the client relationship and need enterprise AI delivery depth behind them.
Bring Us a Client or a Workflow.
Whether you are an enterprise with a problem or a partner with a client who has one, the conversation starts the same way.