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Versioned AI releases.
Excellence, every time.
Divinci is the safety, security and governance layer for custom language models and agents. Evaluate before you ship, release with human sign-off and instant rollback, and hand regulators verifiable evidence for the EU AI Act, GDPR, HIPAA and NIST AI RMF.
Pre-release safety evals
Audit-ready evidence
Instant rollback
Enterprise AI, governed end to end Enterprise AI,
governed end to end
One platform for the controls regulators and security teams now expect: safety evaluation before release, approval workflows and rollback during release, and continuous monitoring with audit trails after. Built on the development platform your engineers already ship on.
Governed release orchestration
Every model release is evaluated, approved and documented before it reaches production, then versioned so it can be rolled back in seconds. Risk is managed at the gate, not discovered in the incident.
Continuous oversight and monitoring
Monitor safety, quality and compliance signals in real time. Automated checks and alerting catch drift, unsafe outputs and policy violations early, and the record of what happened is retained for auditors.
Safety and quality metrics
Define the evaluation metrics that matter to your business and your regulator. Track accuracy, bias, hallucination rate and refusal behaviour across the model lifecycle, with calibrated judges you can inspect.
Human oversight, recorded
Structured review workflows for ML engineers, QA teams and compliance officers. Assign responsibilities, collect feedback and record approvals so every release carries evidence of human sign-off.
The Age of AI Governance The Age of AI
Governance
Safety, security and governance controls, built into the development platform your team already ships on.
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Human Oversight
Multi-stakeholder review and sign-off for ML engineers, QA teams and compliance officers, with every approval recorded against the release it governs.
Model Registry
Centralized version control for custom LLMs with automated rollback capabilities, A/B testing frameworks, and comprehensive model lineage tracking.
Interactive Testing
Conduct comprehensive voice-based model evaluation with automated test case generation and performance benchmarking across modalities.
Safety Metrics
Monitor hallucination rates, unsafe-output rates, bias, latency and custom accuracy metrics with real-time dashboards and alerting.
Compliance Evidence
Automated GDPR, HIPAA and EU AI Act evidence with audit trails, data residency controls, and model behaviour attestation generated from the vIndex.
Release Velocity
Accelerate model deployment cycles with parallel testing pipelines, automated staging environments, and zero-downtime rollouts.
Red-Team and Domain Suites
Domain-specific test suites and adversarial scenarios for healthcare, finance and legal LLMs, with bias, jailbreak and leakage detection.
CI/CD Pipelines
Automated training, evaluation and deployment workflows with safety gates, approval steps and progressive rollout strategies.
MLOps Integration
Native connectors for Weights & Biases, MLflow, Kubeflow, and enterprise model serving platforms with unified observability.
Enterprise Scale
Govern thousands of model versions across distributed teams with horizontal scaling, multi-region deployment and federated policy enforcement.
Open Research
Open weights, open patches, open vIndexes.
We publish vIndexes — queryable feature databases extracted from open transformers — for every model we use. Twelve live on Hugging Face today, spanning four model families and four organizations, plus two natively-trained 1-bit dissolution controls.
The viewer lets you orbit the FFN feature space in 3D. The blog series walks the universal-constants to surgical-edits.
Working across
Gemma
Qwen
Llama
Mistral
Microsoft
Meet our team
Meet the innovators shaping the future of human-AI collaboration.
Michael Mooring
CEO & Founder
Visionary with 15+ years in enterprise technology, leading the conversational AI revolution.
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Samuel Tobia
CTO & Co-Founder
Product strategist with a track record of delivering user-centric AI solutions for enterprise teams.
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Duane Mooring
CPO - Chief Project Officer
Systems architect with expertise in scalable AI infrastructure and natural language processing.
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Sierra Hooshiari
COO - Chief Operations Officer
Cornell graduate with extensive experience in financial services and entrepreneurship. Former M&A Associate and BrainPOP Clean Energy founder, bringing business and operations expertise to AI scaling.
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Sean Fuhrman
Data Scientist
Data scientist with 10+ years programming experience, specializing in machine learning and Python development. He builds reinforcement-learning and multi-agent systems, with an M.S. from UC San Diego.
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Paul-Marie Carfantan
AI Safety and Ethics Advisor
AI governance leader and independent advisor specializing in vendor management and risk. Founded AI LA Responsible AI Group and brings expertise from Google AI, Deloitte, and CVS Health.
ConnectShip AI you can stand behind
See how teams evaluate, release and evidence custom models and agents on Divinci. Book a short walkthrough.
We'll find a time that works — a short walkthrough of the platform.
Expert answers. Governed clarity.
How Divinci handles safety evaluation, secure deployment and governance evidence for custom language models and agents. Clear answers to the questions your risk, security and engineering teams ask.
Every release passes a multi-layered validation gate: automated regression, safety, performance and security testing, plus expert human review. Nothing reaches production without the evaluation record and the approval that goes with it.
Our platform supports a broad spectrum of large language models, from open-source to proprietary architectures. Flexible integration enables seamless deployment across diverse frameworks and enterprise environments, ensuring adaptability to evolving business needs.
Continuous monitoring, scheduled audits and real-time tracking of safety and quality signals. Drift, unsafe outputs and policy violations are flagged early, and the trail of what happened is retained for auditors and regulators.
Divinci is a development platform first. Robust APIs, an SDK, a CLI and MCP tools slot into your existing release and development pipelines, so governance is enforced where your engineers already work rather than bolted on afterwards.