Pacific AI
Company Information
Headquarters
Lewes, Delaware, USA
Year Founded
2017
Industries
Healthcare, Health Systems, Health Technology, Governance Risk & Compliance, Enterprise Software
What Is Pacific AI?
Pacific AI is an artificial intelligence company focused on AI governance, validation, and monitoring for healthcare. Its software helps healthcare and life sciences organizations manage the risks associated with developing, purchasing, and deploying AI systems. The platform combines governance automation, model evaluation, regulatory controls, and continuous production monitoring across the AI lifecycle. Pacific AI also maintains testing and policy resources specifically designed for medical and clinical AI.
What Does Pacific AI Do?
Pacific AI provides healthcare organizations with infrastructure for governing AI systems from initial assessment through production deployment. Organizations can maintain inventories of AI systems and vendors, conduct risk assessments, generate model cards, test models before release, and continuously monitor deployed systems. Its platform also connects these activities to a regularly updated collection of AI regulations and healthcare-specific frameworks.
The system is designed to automate portions of AI governance work while retaining human review and approval. It can evaluate models for factors including fairness, safety, privacy, robustness, and accuracy, helping teams identify risks before deployment and monitor changes after an AI system enters production.
Pacific AI Technology
Pacific AI combines AI governance automation, model testing, and continuous monitoring within a single-tenant software architecture. Governor uses AI to analyze project and vendor documentation, prepare draft model cards, assign proposed risk levels, identify controls, and generate vendor risk assessments for human review.
Gatekeeper provides pre-release evaluation of LLMs, machine-learning models, and agentic systems. Its testing capabilities incorporate MedHELM for clinical AI evaluation and LangTest for accuracy, bias, fairness, and robustness testing. These evaluations can be incorporated into CI/CD workflows so defined test thresholds can act as release gates.
Guardian extends evaluation into production through continuous red teaming and drift detection. It periodically tests deployed systems for changes in safety, bias, privacy, robustness, clinical-task performance, and regulatory readiness.
A notable architectural feature is that Pacific AI deploys inside the customer’s AWS or Azure environment. Governance records and testing information remain within the customer’s cloud tenant, and Pacific AI states that its LLM-as-a-judge capabilities use a proprietary fine-tuned LLM rather than a third-party model API.
Why Pacific AI Matters
Healthcare AI increasingly includes language models, clinical decision-support tools, AI agents, and other systems whose performance and risks can change after deployment. Pacific AI addresses the technical layer between simply documenting governance requirements and testing whether AI systems continue to meet them.
Its approach connects policies, pre-release evaluation, and production monitoring so that governance can operate throughout the AI lifecycle rather than only during an initial review. The combination of healthcare-specific AI evaluation and continuous monitoring makes Pacific AI relevant to the broader movement toward measurable, auditable AI governance in regulated environments.
Pacific AI Products & Platforms
Governor
Governor is Pacific AI’s AI governance and risk-management platform. It maintains information about AI systems, vendors, risks, policies, and controls while automating tasks such as model-card creation and vendor risk assessment. It can analyze uploaded project documentation and generate draft governance materials for review and approval.
Gatekeeper
Gatekeeper provides pre-release AI testing and validation for LLMs, machine-learning models, and agentic systems. It evaluates areas such as accuracy, fairness, bias, robustness, clinical performance, safety, and regulatory readiness and can integrate testing into CI/CD deployment processes.
Guardian
Guardian provides continuous production monitoring and red teaming. It runs testing against deployed AI endpoints to identify performance drift, bias, safety issues, adversarial vulnerabilities, and changes in regulatory readiness after an AI system has entered production.
AI Governance Policy Suite
The AI Governance Policy Suite is a maintained collection of AI-related regulations, laws, standards, and frameworks that Pacific AI translates into governance policies and controls. The September 2026 release expanded the suite substantially, including additional healthcare legislation and regulatory material. Pacific AI updates the suite quarterly.
Pacific AI Applications
Pacific AI’s technology is primarily used in healthcare and life sciences organizations that develop, purchase, or deploy artificial intelligence. Applications include maintaining inventories of clinical AI systems, evaluating third-party AI vendors, preparing model cards, conducting AI risk assessments, validating medical language models, testing AI before deployment, and monitoring production models for drift or emerging safety problems.
The platform can also support governance of generative AI, machine-learning models, and AI agents used in regulated healthcare environments. Its testing and monitoring infrastructure connects technical evaluation with regulatory and organizational controls rather than treating compliance documentation and model performance as separate processes.
Related Articles
Latest Companies
Frequently Asked Questions
What are Governor, Gatekeeper, and Guardian?
They are the three main components of Pacific AI’s governance platform. Governor handles AI inventory, risk, policy, vendor, and documentation workflows; Gatekeeper tests AI systems before release; and Guardian continuously evaluates systems after they enter production.
How does Pacific AI test healthcare AI models?
Pacific AI uses evaluation tools including MedHELM and LangTest alongside safety and red-team testing. MedHELM provides healthcare-specific clinical evaluations, while LangTest covers areas such as accuracy, bias, fairness, and robustness.
Does Pacific AI monitor AI systems after deployment?
Yes. Guardian runs scheduled testing against production AI systems to detect performance drift, bias, safety problems, robustness issues, and adversarial vulnerabilities that may emerge after deployment.
Where does Pacific AI store governance and testing data?
Pacific AI’s platform is deployed within the customer’s AWS or Azure tenant. The company states that governance records, model cards, risk assessments, test results, and monitoring information remain within the customer’s VPC rather than being stored in a Pacific AI-managed multi-tenant environment.
What is the Pacific AI Governance Policy Suite?
It is a quarterly updated collection of AI laws, regulations, standards, frameworks, policies, and associated controls designed to help organizations operationalize AI governance. The suite includes both general AI frameworks and healthcare-specific requirements.
Do You Have an Update for This Company?
Have an update, correction, or additional information about this company? Help us keep the futureTEKnow company database up to date by submitting the latest company information.
Related Companies
Latest Articles
OpenAI Astra for Law Brings GPT-6 Astra Into Legal Research and Law Firm Workflows
OpenAI’s Astra for Law combines GPT-6 Astra with specialized legal search, integrations, and governance controls. The launch shows how frontier AI is moving deeper into professional legal workflows.
Are your AI projects stuck on your own data?
AI projects often stall because business data isn’t consistent or trustworthy. Here’s how to identify data gaps before they become an AI roadblock.
EVAS Intelligence’s RISC-V AI Chips Land 1.5 Billion Yuan Series B to Power Global Expansion
EVAS Intelligence has raised 1.5 billion yuan to mass‑produce its RISC-V Epoch AI chips, deepen its full‑stack platform, and accelerate global expansion, signaling rising investor confidence in alternative AI compute.
Orkes Raises $60M to Orchestrate Enterprise AI Agents in Production
Orkes has raised 60 million dollars to turn its Netflix‑born workflow engine into a control plane for enterprise AI agents. The piece unpacks how its orchestration platform works, why investors are backing it now, and what this means for companies trying to move AI from pilots into production.
Sillage’s AI signal engine raises €1.7M to help enterprise sales teams follow the right buying signals
Paris-based Sillage has raised €1.7 million to launch an AI signal engine that helps enterprise sales teams follow the right buying signals, prioritize high-intent accounts, and improve pipeline efficiency without replacing human-led conversations.
Cloneable’s agentic AI platform targets the infrastructure knowledge gap with $4.6M seed round
Cloneable is launching an agentic AI platform for infrastructure operations that captures institutional knowledge from retiring experts and turns it into scalable agents, targeting energy, utilities, and other asset-heavy sectors. The $4.6M seed-backed startup aims to connect field data capture with back-office execution so founders and operators can modernize infrastructure faster and with fewer bottlenecks.
Ricursive Superintelligence’s $500M bet on self-improving AI raises the stakes in the AGI funding race
Excerpt: Ricursive Superintelligence has raised at least $500 million to build self‑improving AI, with GV and Nvidia backing a four‑month‑old lab at a $4 billion valuation. The deal crystallizes how quickly capital, talent and regulatory scrutiny are converging around autonomous AI research—and what that means for builders trying to compete outside the frontier club.
Bond AI raises US$2M to automate SME accounting in Brazil’s brutal tax maze
Brazilian startup BOND has raised US$2M to automate accounting for SMEs in Brazil’s complex tax system. Combining AI with human accountants, it targets a fragmented market of manual processes, aiming to turn back-office compliance into a faster, more strategic function for founders and operators.
Loop’s AI supply chain platform raises $95M Series C to predict disruptions before they hit
Loop just raised a $95M Series C to expand its AI-native supply chain platform, turning messy logistics data into early disruption warnings and better financial outcomes for global operators and shippers.
London AI startup Lua wants to give every business its own AI workforce with $5.8M seed round
Linkedin X-twitter-square Facebook-square Startups & Business News AI agents are finally moving from demos to the day-to-day stack of real
Factory.ai raises $150M Series C to build fully autonomous software engineering “factories”
Factory has raised a $150M Series C at a $1.5B valuation to scale its autonomous “Droids” platform, betting that enterprises will standardize software engineering around agent‑native missions, governance and cost‑optimized AI infrastructure.
Solidroad’s $25M bet on AI quality assurance for customer support
Solidroad has raised $25 million to bring AI-native quality assurance to every human and AI-powered customer interaction. The new funding will accelerate product development and expansion for support-heavy businesses leaning into automation.
futureTEKnow is focused on identifying and promoting creators, disruptors and innovators, and serving as a vital resource for those interested in the latest advancements in technology.
© 2026 All Rights Reserved.