Managed AI platform

Cloudstrata AI Foundry Platform

Deploy governed AI agents in weeks — without hiring a platform team.Governed AI in weeks — no platform team.

Multi-tenant runtime, retrieval pipelines, usage metering, and EU-hosted infrastructure — with governance and predictable costs for mid-sized and regulated organisations.Multi-tenant runtime, retrieval, and metering — EU-hosted. Managed, not built in-house.

Production rollout in weeks — without a multi-month platform build
Governance for procurement, IT, and compliance
Predictable costs from the first agent

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PLATFORM

Technical depth for IT – without building your own.

For technical decision-makers: AI Foundry brings runtime, data, integrations, and control together on hyperscaler infrastructure. Your team configures use cases – we operate the platform layer.

CloudstrataAI Foundry Platform

Workflows, models, integrations, and data – hosted on cloud infrastructure.

Design, run, and evaluate – with KPIs and spend in one view.

AI Foundry

WORKFLOW · EXPERIENCE

Steer work through dashboards, KPIs, and APIs – clear for business and engineering.

Dashboards & KPIs
APIs & tools
Approvals & audit trail
Scheduled & triggered runs
Role-based access

AI · AUTOMATION

Models inside repeatable flows – with retrieval, safeguards, and traceable steps.

Chat surfaces
Embeddings & search
Retrieval (RAG)
Routing & safeguards
Evaluations

INTEGRATION · CONNECTIVITY

Connect events, partners, DevOps, and identity – in your existing toolchain.

Webhooks & events
SaaS connectors
Batch & streaming ingest
ITSM & DevOps
Identity & secrets

DATA · GOVERNANCE

Structured data, vector stores, and files – with clear access rules.

Relational databases
Vector & semantic stores
Object & file storage
Warehouse / lakehouse
Catalog & lineage

CLOUD · INFRASTRUCTURE

Hosted on AWS, Google Cloud, and Azure – without building the platform layer yourself.

AWS Amazon Web Services
Google Cloud
Microsoft Azure

Architecture diagram: cloudstrata AI Foundry at the centre with workflow, AI, integration, data, and cloud infrastructure.

AI Foundry

Kubernetes runtime
Tenant quotas
API control
GDPR-aware

WORKFLOW · EXPERIENCE

Dashboards & KPIs
APIs & tools
Approvals & audit trail
Scheduled & triggered runs
Role-based access

AI · AUTOMATION

Chat surfaces
Embeddings & search
Retrieval (RAG)
Routing & safeguards
Evaluations

INTEGRATION · CONNECTIVITY

Webhooks & events
SaaS connectors
Batch & streaming ingest
ITSM & DevOps
Identity & secrets

DATA · GOVERNANCE

Relational databases
Vector & semantic stores
Object & file storage
Warehouse / lakehouse
Catalog & lineage

CLOUD · INFRASTRUCTURE

AWS Amazon Web Services; Google Cloud ; Microsoft Azure

What you achieve with AI Foundry.

Faster to production: Run agents and workflows without months of platform engineering.
Governance built in: Approvals, audit trails, and tenant isolation from day one.
Business and IT aligned: Shared workspaces with central governance on a single platform.
Costs under control: Usage, model spend, and quotas in one dashboard.
Regulatory confidence: GDPR-conscious, isolated tenants, traceable data flows.
Connected to your stack: APIs, connectors, and events – without replatforming.

PLATFORM CAPABILITIES

Deep platform engineering – built into AI Foundry.

AI Foundry brings together the disciplines that define production AI: from agent runtime and retrieval architecture to policy, observability, and enterprise connectivity. The platform provides the technical foundation experienced platform teams typically build themselves.

Agent runtime & orchestration
Multi-step agents with state, tool use, and deterministic execution paths.
- Tool registry & function calling
- State management & retry logic
- Human-in-the-loop & approval hooks
- Streaming & batch execution
- Deterministic fallbacks on model failure
Retrieval & knowledge architecture
From raw documents to cited answers – as a repeatable, monitored pipeline.
- Chunking strategies & document parsing
- Embedding models & vector indexes
- Hybrid search & re-ranking
- Source attribution & confidence scoring
- Incremental index refresh
Model routing & inference
Multi-provider strategy with cost control and quality assurance.
- Routing across OpenAI, Anthropic, Azure, Gemini
- Model fallbacks & circuit breakers
- Token limits & rate quotas per tenant
- Prompt versioning & A/B comparisons
- Latency- and cost-aware routing
Governance, identity & policy
Controls that regulated organisations and IT security expect.
- RBAC, workspaces & tenant isolation
- SSO, SCIM & identity federation
- Approval workflows & audit trails
- Secrets management & vault integration
- PII handling & context isolation
Observability & FinOps
Full visibility into quality, latency, and cost – from the first agent onward.
- Distributed traces & inference logs
- Evaluation dashboards & regression alerts
- Token and model cost per use case
- SLI/SLO metrics for agent operations
- Export for finance & controlling
Integration & eventing
AI Foundry as an integrated hub in your enterprise architecture.
- Webhooks, event bus & streaming ingest
- ITSM, ticketing & DevOps connectivity
- SaaS connectors & custom APIs
- Batch import & change-data-capture
- MCP-compatible tool extensions

VALUE

What you achieve with AI Foundry.

Faster to productionRun agents and workflows without months of platform engineering.
Governance built inApprovals, audit trails, and tenant isolation from day one.
Business and IT alignedShared workspaces with central governance on a single platform.
Costs under controlUsage, model spend, and quotas in one dashboard.
Regulatory confidenceGDPR-conscious, isolated tenants, traceable data flows.
Connected to your stackAPIs, connectors, and events – without replatforming.

No platform team required
Runtime, metering, and integrations managed – your teams focus on use cases.
Typical team size on your side: 1–2 product owners, not 5+ platform engineers.
Production rollout in weeks
From scoping call to first production agent – without an infrastructure project.
Median rollout across early deployments: 14 days to first production agent.
Governance built in
Approvals, audit trails, and tenant isolation from day one – before external rollout.
RBAC, audit trails, and tenant isolation active before first external user.
Predictable costs
SaaS tiers with quotas; model spend and usage reported transparently.
Model spend visible per workspace from week one — no month-end surprises.

ROLLOUT BENCHMARK

A typical AI Foundry pilot — week by week.

Based on production deployments with mid-sized and regulated teams. Your timeline depends on integrations and approval cycles.

Median time to first production agent: 14 days (range: 10–21 days across three deployments).

Week 0
Scoping call
Use case, data sources, governance requirements, and success criteria agreed. Workspace provisioned same day.
Week 1
Platform ready
SSO connected, tenant boundaries configured, retrieval pipeline ingesting first document set.
Week 2
First agent live
Production agent handling real requests with citations, rate limits, and inference logging enabled.
Week 3
Governance sign-off
Approval workflows reviewed with IT/security, usage dashboards shared with finance, blast radius widened.

CHALLENGE & SOLUTION

Where AI projects stall – and how AI Foundry avoids it.

Decision-makers know the pattern: promising demos, then standstill because of operations, governance, or budget. AI Foundry addresses these bottlenecks from the first production rollout.

Kubernetes architecture
Tenant isolation
GDPR-conscious
Hyperscaler hosting

The problem
AI pilots stall in demos. There is no production-ready runtime where business and engineering can work together – without starting from scratch every time.
The AI Foundry solution
From pilot to live operations
AI Foundry provides a managed platform with workspaces, APIs, and agent runtime. Your teams focus on use cases – we operate the technical foundation.
- Production-ready from the first agent
- Roles for business, engineering, and approval
- Scale through usage quotas
The problem
Shadow AI spreads across individual machines and SaaS accounts. Procurement, compliance, and IT lose visibility – and risk grows with every new tool.
The AI Foundry solution
Governance and control from day one
Approvals, audit trails, and tenant isolation are built into the platform from day one — integrated into operations, not a separate audit project.
- Role-based access and approval workflows
- Isolation for sensitive data and contexts
- Connections to identity systems you already manage
The problem
Model costs rise while business value stays unclear. Leadership and procurement need reliable numbers — based on consolidated usage data.
The AI Foundry solution
Make cost and value visible
AI Foundry tracks usage, latency, and model spend in business context — on a timeline that supports informed decisions.
- Usage quotas per agent and workspace
- Usage data per agent and workspace
- Expand only when KPIs and budget justify it
The problem
Knowledge sits in silos – SharePoint, ticketing, line-of-business apps. Agents without reliable retrieval deliver unreliable or unverifiable answers.
The AI Foundry solution
Connect knowledge, cite sources
RAG pipelines, embeddings, and connectors tie your data sources together – with source attribution in every answer.
- Retrieval (RAG) with traceable sources
- Webhooks, events, and SaaS connectors
- Central visibility in one platform

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WHO IT'S FOR

One platform, four perspectives.

AI Foundry speaks to different decision-makers – with answers to the questions that actually come up in budget, security, and rollout discussions.

Leadership & board
Typical question"When do we see real value – and what will this cost long term?"
What AI Foundry deliversA measurable pilot with clear KPIs, a predictable SaaS model, and scalable rollout – without upfront investment in a platform team.
IT leadership & architecture
Typical question"Who operates this, how does it integrate, and do we stay in control?"
What AI Foundry deliversOperations on Kubernetes at AWS, Google Cloud, or Azure – with APIs, identity integration, and tenant isolation that meets your standards.
Business & digital teams
Typical question"How do we get from idea to an agent we actually use – quickly?"
What AI Foundry deliversWorkspaces, retrieval, and ready connectors – without waiting on IT capacity for platform engineering.
Procurement, compliance & privacy
Typical question"Is this contractually sound, traceable, and GDPR-ready?"
What AI Foundry deliversDocumented approvals, isolated tenants, and traceable data flows on a central platform.

GETTING STARTED

Three steps to a production agent.

You don't need a six-month transformation programme. AI Foundry is designed to deliver credible results quickly – with clear milestones for everyone involved.

Scoping call
In 30 minutes we clarify use case, data landscape, and governance or integration requirements. You get an honest view of whether and how AI Foundry fits.
Pilot with one agent
One concrete application in your environment – with defined KPIs, a defined budget, and approval workflows.
Rollout based on results
Additional agents and workspaces only when value and cost align. Scale through usage quotas and transparent model spend reporting.

Schedule a consultation

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CONTACT

Get in touch

Tell us about your use case — we'll respond with a tailored next step.

We aim to reply within one business day.

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Cloudstrata AI Foundry Platform

Agent runtime & orchestration

Retrieval & knowledge architecture

Model routing & inference

Governance, identity & policy

Observability & FinOps

Integration & eventing

Scoping call

Platform ready

First agent live

Governance sign-off

From pilot to live operations

Governance and control from day one

Make cost and value visible

Connect knowledge, cite sources

Leadership & board

IT leadership & architecture

Business & digital teams

Procurement, compliance & privacy

Scoping call

Pilot with one agent

Rollout based on results

Get in touch

Agent runtime & orchestration

Retrieval & knowledge architecture

Model routing & inference

Governance, identity & policy

Observability & FinOps

Integration & eventing

Scoping call

Platform ready

First agent live

Governance sign-off

From pilot to live operations

Governance and control from day one

Make cost and value visible

Connect knowledge, cite sources

Leadership & board

IT leadership & architecture

Business & digital teams

Procurement, compliance & privacy

Scoping call

Pilot with one agent

Rollout based on results