The control plane for
production AI
Private by design. Governed by default..
GenAI Foundry is a private AI control plane that enables enterprises to build, govern, improve, and scale AI safely—without losing control of data, compliance, or intellectual property.
Align models safely with human feedback
Run supervised fine-tuning and RLHF with full visibility into datasets, methods, and outcomes.
Learning is deliberate, auditable, and reversible.
Measure what matters before and after deployment.
Evaluate models against accuracy, consistency, and task-specific criteria using test sets and SME review.
Compare versions and catch regressions before production.
Production releases with version control.
Promote models from development to production with controlled configuration, rollback and environment isolation.
No silent changes. No unmanaged endpoints.
Test behavior with full transparency
Interact with deployed models, inspect raw inputs and outputs, and validate responses with SMEs before approval.
Runtime safety and compliance enforced
Detect and log policy violations, PII exposure, toxicity, and misuse at runtime. Every request is traceable to rules, feedback, and outcomes.
Enterprise knowledge, retrieval controlled.
Ingest documents and data into project-scoped knowledge bases with configurable retrieval, ranking, and context limits.
Align models safely with human feedback
Run supervised fine-tuning and RLHF with full visibility into datasets, methods, and outcomes.
Learning is deliberate, auditable, and reversible.
Measure what matters before and after deployment.
Evaluate models against accuracy, consistency, and task-specific criteria using test sets and SME review.
Compare versions and catch regressions before production.
Production releases with version control.
Promote models from development to production with controlled configuration, rollback and environment isolation.
No silent changes. No unmanaged endpoints.
Test behavior with full transparency.
Interact with deployed models, inspect raw inputs and outputs, and validate responses with SMEs before approval.
Runtime safety and compliance, enforced.
Detect and log policy violations, PII exposure, toxicity, and misuse at runtime. Every request is traceable to rules, feedback, and outcomes.
Enterprise knowledge, retrieval-controlled
Ingest documents and data into project-scoped knowledge bases with configurable retrieval, ranking, and context limits
The Value
Faster Time-to-Defensible Value
AI moves from experiment to production months sooner, with built-in controls.
Reduced Execution & Regulatory Risk
Governance, guardrails, and audit evidence are designed in, not bolted on.
Higher ROI Realization
Fewer failed pilots, fewer restarts, sustained executive sponsorship.
Enterprise IP Creation
Human expertise is captured through dataset pipelines and HITL, becoming reusable AI assets not tribal knowledge.
Strategic Control Without Vendor Lock-In
You own the data, datasets, feedback loops, and tuned models.
Built for environments where trust matters
Your data never leaves your environment
AI behavior monitored continuously
Governance and audit trails by default
Evaluation and learning under human control
10
X
Faster And Better
100
%
Domain Specific / Vertical AI
100
%
Secured and complaint
100
%
True Ownership
Fully
Auditable
Predictable
Cost & Time
Deploy your way
On-prem or private cloud. Your models. Your data. Your IP.
On-prem
AI must survive economic scrutiny before it ships.
Private cloud
Access and prepare enterprise data for AI workloads.
Hybrid-ready
Decision rights, audits and oversight by design.
No lock-in
Domain-trained models, integrated within core processes.
No black boxes
Every output is traceable. Every decision is defensible.
Vertical systems run on GenAI Foundry
Vertical AI, by design
GenAI Foundry is built as a single control plane for governed AI execution. Vertical AI systems sit on top of this foundation, inheriting the same standards for governance, evaluation, and controlled learning. Same core. Consistent behavior in production.
InsurancGPT
InsurancGPT is a vertical execution layer built on GenAI Foundry. It brings insurance-native intelligence to underwriting, claims, policy, and compliance workflows — with evidence, auditability, and human control built in. Powered by GenAI Foundry. Designed for real insurance operations.
What comes next
Additional regulated-industry verticals are in active development. Each new vertical reuses the same control plane and adds domain-specific intelligence. Same control plane. New domain intelligence.
Explore GenAI Foundry
One platform. Full lifecycle control. Built for regulated enterprises.
AI Data studio
From raw data to training-ready datasets
Training & RLHF
Deliberate, governed model learning
Evaluation
Continuous evaluation with human oversight
Deployments
Production releases with control
Playground
Transparent model testing for SMEs
Guardrails
Runtime safety enforced by default
RAG & Knowledge
Governed enterprise knowledge for AI
Prompt Library
Reusable, approved prompts
Frequently Asked Questions
GenAI Foundry is a Private AI control plane for production AI. It helps enterprises build, evaluate, deploy, govern, and continuously improve AI systems while retaining control over their data, models, intellectual property, and operational decisions.
GenAI Foundry supports the full lifecycle—from AI data preparation and model training to RLHF, evaluation, deployment, guardrails, RAG, and knowledge management. These capabilities are brought together in one governed environment rather than managed through disconnected tools.
The platform is designed for controlled enterprise environments where sensitive data and AI assets remain within defined infrastructure boundaries. Organizations can deploy on-premises, in a private cloud, or through a hybrid architecture based on their security and data requirements.
Yes. GenAI Foundry is designed to support flexible model strategies rather than locking organizations into a single model provider. Enterprises can align model selection, training, deployment, and governance with their own use cases, infrastructure, and domain requirements.
The platform supports governed model training and Reinforcement Learning from Human Feedback (RLHF) with visibility into datasets, methods, feedback, and outcomes. Human feedback can be captured and used through deliberate, auditable, and controlled learning processes.
GenAI Foundry supports continuous evaluation across development and production. Organizations can assess model quality, behavior, performance, and other defined criteria before release and continue monitoring deployed systems as operating conditions change.
Governance is embedded across the AI lifecycle. Teams can apply policies, runtime guardrails, evaluation controls, approval processes, audit trails, and human oversight so AI behavior remains aligned with enterprise requirements during both development and production.
Yes. GenAI Foundry includes RAG and knowledge capabilities that allow AI systems to work with governed enterprise information. Organizations can connect approved knowledge sources while maintaining appropriate access, control, and traceability.
GenAI Foundry supports on-premises, private-cloud, and hybrid deployment models. This allows organizations to choose an architecture based on security, data residency, infrastructure, regulatory, and operational requirements.
GenAI Foundry is designed for enterprises moving AI from experimentation into production, particularly where privacy, governance, auditability, deployment control, and human oversight are important. It can also provide the common control foundation for industry-specific AI platforms and applications.
One platform. Full lifecycle control. Built for regulated enterprises.
If AI outcomes matter in your organization, the next step is clarity.
No pressure. No hype. Just measurable impact.