See it. Prove it. Deploy it.
Sphere AI Foundry™ helps enterprise teams validate AI use cases, accelerate delivery, and launch production-ready systems with confidence.
The Foundry model connects a private demo environment, productized accelerators, and senior delivery pods so your team can move from idea to controlled pilot to production deployment without starting from scratch.
A faster path from idea to production.
AI Foundry makes the path simple: show the use case, validate the path, then deploy with the right accelerators and delivery pod.
Foundry Demo Environment
Show your AI use case using approved sample data in a controlled environment before a full engagement.
Foundry Accelerators
Use prebuilt components for RAG, agents, evaluation, governance, security, data readiness, and deployment.
Foundry Pods
Embed senior cross-functional delivery teams to build, govern, and operationalize AI in production.
See the use case before you commit.
Sphere product experts can demonstrate AI deployment scenarios specific to your workflows using approved sample data, realistic interfaces, and a controlled demo environment.
- Use-case walkthroughs tailored to your workflows
- Workflow simulation with approved sample data
- Data readiness and integration assessment
- Business impact framing and KPI modeling
- Risk, privacy, and governance review
- Recommended production roadmap
Workforce Management AI
Automate shift planning, productivity monitoring, and workforce forecasting.
Urban Operations AI
Predictive maintenance, compliance intelligence, and field service coordination.
Real Estate Analytics AI
Investment scoring, portfolio analysis, and market intelligence automation.
Productized accelerators that reduce setup time and early risk.
Reusable building blocks help your team move faster, reduce setup time, and lower delivery risk before production.
RAG Accelerator
Retrieval pipelines, connectors, permission-aware search, and citation for grounded answers from enterprise content. The most common starting point for knowledge-heavy use cases.
Agentic Workflow Accelerator
Orchestration patterns for multi-step agents that execute business processes with guardrails and human approval gates.
AI Evaluation Accelerator
Automated evaluation, LLM-as-judge scoring, regression suites, and safety guardrails that prove accuracy before launch.
Governance & Audit Accelerator
RBAC, SSO, audit logging, observability, and compliance mappings aligned to SOC 2, HIPAA, and your internal policies.
Data Readiness Accelerator
Ingestion, cleaning, chunking, embedding, and update pipelines for structured and unstructured enterprise sources.
Secure Deployment Accelerator
Infrastructure-as-code for SaaS, VPC, private cloud, or on-premise — deployed where your policies require.
Human-in-the-Loop Accelerator
SME evaluation loops, RLHF tuning, and continuous evals that keep accuracy improving after go-live.
Production delivery, without adding overhead.
Once the use case is validated, senior cross-functional pods embed into your environment to design, build, launch, and operate AI systems end-to-end.
AI/ML Engineers
Build retrieval, agents, fine-tuning, and integrations on Foundry accelerators.
Data & Platform Engineers
Connect, clean, and pipeline the data that makes your AI accurate.
AI Product Engineers
Design AI-powered interfaces and workflow integrations that users actually adopt.
MLOps Engineers
Deploy, monitor, and scale AI systems with full observability and drift detection.
RAG / Agentic AI Architects
Own the blueprint — model strategy, retrieval architecture, and the path to production.
Cross-functional pods with architecture, build, data, product, and ops disciplines — without the overhead of full-time hires.
Data stays in your environment. Private cloud, VPC, or on-premise deployment with your security controls.
SME review, RLHF tuning, and continuous evaluation built into every delivery — accuracy compounds after launch.
Built for regulated, data-rich, and operationally complex environments.
Ideal for knowledge assistants, workflow automation, document intelligence, operational copilots, and decision support.
What clients can expect in the first 90 days.
Validate the use case
- ·Use case selection and scoping
- ·Demo environment walkthrough
- ·Data review and readiness assessment
- ·Technical constraints mapping
- ·Success criteria alignment
Build the controlled pilot
- ·Accelerator setup and configuration
- ·Workflow design and integration planning
- ·Data pipeline development
- ·Evaluation plan and governance model
- ·Stakeholder review and sign-off
Prepare production scale
- ·Pilot delivery and validation
- ·Control design and monitoring plan
- ·User feedback and iteration
- ·Observability and drift monitoring
- ·Roadmap for production deployment
Platforms give you tools. Sphere gives you the path to production.
AI Foundry combines the team, accelerators, and deployment model needed to turn a validated use case into a working production system.
Ready to see your AI use case in action?
Start with a controlled demo using approved sample data. Scale with accelerators and senior delivery pods.