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
InsurancGPT is a private, agentic AI platform purpose-built for the insurance industry. Developed by Enkefalos and powered by the GenAI Foundry control plane, it delivers secure, explainable AI across the core workflows that drive insurance operations: underwriting, claims management, document processing, compliance, and analytics.
Unlike generic AI tools adapted for insurance, InsurancGPT is insurance-native. It understands the language, logic, and regulatory requirements of insurance workflows from the ground up. Every output is traceable to its source, every decision is auditable, and every deployment runs within the insurer's own infrastructure, ensuring full data sovereignty and compliance.
InsurancGPT is organized into six specialized products: InsureAssist, DocuSure, UnderwriteIQ, ClaimFlow, InsightEdge, and AutoLens. Each can be deployed as part of the full platform or independently.
AI solutions for insurance companies are purpose-built platforms that apply artificial intelligence to core operational workflows. Effective solutions are trained on insurance data and governed by insurance logic.
InsurancGPT delivers six AI solutions:
- InsureAssist: Context-aware AI assistant for employees and agents.
- DocuSure: Document intelligence with page-level source traceability.
- UnderwriteIQ: AI-driven underwriting workflows and risk assessment.
- ClaimFlow: Intelligent claims automation and fraud detection.
- InsightEdge: Role-based analytics from natural language prompts.
- AutoLens: Computer vision assessment of accident photos.
ClaimFlow is an AI-native claims management product that delivers intelligent, end-to-end claims automation. It covers every stage from first notice of loss (FNOL) through settlement.
ClaimFlow works through five core capabilities: configurable workflows, automated data validation, AI-powered fraud detection, embedded compliance checks, and full decision auditability. It delivers 45x faster claims triage and a 60% reduction in loss run processing time.
AI transforms claims management by automating intake, validation, triage, fraud detection, and compliance checking. It ensures faster decisions and reduced leakage while maintaining a fully auditable record.
Key stages include structured data capture at FNOL, automated data enrichment, AI-driven prioritization based on risk, and pattern recognition to identify high-risk anomalies before settlement.
FNOL (First Notice of Loss) is the initial report of a loss event. AI automates this by replacing manual processes with structured digital intake, real-time data validation, and automated exception handling.
With ClaimFlow, AI-powered FNOL automation reduces the time from loss event to active claims handling from days to minutes, scoring claims by complexity and routing them to the appropriate handler instantly.
AI automates data extraction and normalization, risk assessment, and compliance checks. This reduces submission-to-decision cycle time by 72%.
UnderwriteIQ capabilities include: automated risk assessment against guidelines, 90% improvement in SOV validation quality, rapid loss run processing, and continuous learning from underwriter decisions.
Yes. AI supports the binding process by automating pre-bind validation steps while human underwriters retain final authority. It ensures that by the time a quote reaches the binding stage, all compliance checks and risk validations are complete and documented.
AI moves beyond simple rules into intelligent systems that learn from human decisions. InsurancGPT delivers improvements across speed (72% faster cycle times), accuracy (90% SOV quality improvement), and compliance consistency, while keeping every decision explainable and reversible.
AI works by automating data-intensive workflows and augmenting human decision-making with evidence-backed recommendations. It applies to underwriting (risk assessment), claims (fraud detection), documents (traceability), analytics (real-time insights), and visual damage (computer vision).
The governing principle: every output is explainable, every decision is traceable, and human oversight is maintained throughout the full insurance value chain.
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.