What is Kollitech and what does it do?

Kollitech is a San Francisco–based enterprise AI advisory firm focused on financial services, healthcare, and the public sector. We advise on strategy, governance, and implementation—including algorithmic assurance and regulatory alignment—and we design, build, and operate proprietary platforms (Pamkit, GProv, Grihak, and KollGuard) that inform and extend our client work.

What FinTech AI services does Kollitech offer?

Kollitech provides financial-services AI advisory and delivery including: credit and decisioning model validation and bias testing, algorithmic trading governance, AML/KYC automation, fraud analytics, regulatory mapping (SOX, PCI DSS, GDPR, EU AI Act), explainability reporting for lending decisions, and production drift monitoring. We apply the same clinical-grade discipline from healthcare engagements to financial use cases.

How does Kollitech ensure AI compliance with HIPAA, SOX, and other regulations?

We embed compliance into every stage of our AI lifecycle. Our Algorithmic Audit Framework covers data governance, bias assessment, model explainability, and security — mapped to HIPAA, FDA AI/ML guidelines, SOX, PCI DSS, EU AI Act, and NIST AI Risk Management Framework. Every deployment includes audit-ready logging, zero-trust security, and automated compliance monitoring tailored to the specific regulatory requirements of healthcare and financial services.

What industries does Kollitech serve?

Kollitech's core expertise spans financial services (banks, credit unions, lending, insurance), healthcare (hospitals, health systems, pharma, clinical research), and government (state agencies, defense, VA systems). Our practitioners bring experience from engagements with organizations such as UC Irvine, Optum Health, Sutter Health, the State of California, and the San Francisco Department of Public Health.

Where is Kollitech headquartered?

Kollitech is headquartered in San Francisco, California. We serve clients across the United States and support international programs when engagement scope requires it.

Does Kollitech work with clients outside the San Francisco Bay Area?

Yes. While the firm is based in San Francisco, we routinely support financial institutions, health systems, and government agencies throughout the United States through a combination of on-site meetings, secure remote collaboration, and sovereign or air-gapped deployments when required.

What is Kollitech's AI Audit Framework?

Our comprehensive AI audit covers 9 critical domains: Data Governance & Quality, Model Development & Training, Bias & Fairness Assessment, Security & Privacy, Regulatory Compliance, Explainability & Interpretability, Monitoring & Maintenance, Infrastructure & Operations, and Ethics & Governance. Each domain includes detailed checklists, risk assessments, and compliance mapping for both healthcare (HIPAA, FDA) and financial (SOX, PCI DSS) regulatory frameworks.

What are Pamkit, GProv, Grihak, and KollGuard?

These are the SaaS platforms built and operated by Kollitech. Pamkit (pamkit.ai) is an AI-powered asset and property management platform — its built-in AI agent, Pamela, handles smart document OCR, AI vision asset scanning, and predictive maintenance and warranty alerts, plus e-signature leases and Stripe Connect rent collection; live on the iOS App Store and web across 15+ countries. GProv (gprov.com) is a global healthcare platform whose Appi AI delivers symptom triage by text and live voice, alongside personal health records, secure messaging, telehealth, and FHIR R4 / HL7 v2 interoperability via Mirth Connect; HIPAA-compliant with a SOC 2 Type II audit in progress, on web, iOS, and Android across 20+ countries. Grihak (grihak.com) is a PropTech platform for HOA and community management with a 24/7 AI virtual assistant, secure digital voting, Stripe-powered dues collection, maintenance work orders, and multi-community dashboards. KollGuard (kollguard.com) is an AI compliance intelligence overlay that scans GitHub repositories and databases against SOC 2, HIPAA, and 70+ frameworks, provides industry-specific PII and PHI handling guidance, and monitors AI token spend to prevent surprise bills.

What is KollGuard and who is it for?

KollGuard (kollguard.com) is Kollitech's AI-powered compliance intelligence platform for teams pursuing SOC 2 and HIPAA. With your permission, it continuously scans your GitHub repositories and databases for security and compliance gaps and maps every finding to the controls auditors care about — across SOC 2, HIPAA, and 70+ curated regulatory frameworks. It tailors PII and PHI handling guidance to your industry, runs specialist AI agents for auditing, risk prediction, and evidence collection, and monitors AI token usage and spend across your products so you never face surprise AI bills. It is built fail-closed with tenant isolation and vault-backed credential handling.

Can Kollitech deploy AI in air-gapped or sovereign environments?

Yes. Kollitech specializes in sovereign and air-gapped AI deployments for government, defense, and highly regulated financial clients. Solutions run fully on-premise without any connection to the public internet, ensuring complete data sovereignty while maintaining full AI capability including RAG pipelines, model inference, and compliance monitoring.

How does Kollitech differ from other AI consulting firms?

Kollitech combines senior advisory depth with product engineering discipline. We design, build, and operate Pamkit, GProv, Grihak, and KollGuard—including a live SOC 2/HIPAA compliance scanner—so our recommendations are grounded in production systems, not slide decks alone. Our dual focus on financial services and healthcare brings cross-sector governance rigor to highly regulated AI programs.

How does Kollitech help with AI bias in credit scoring and lending?

Kollitech conducts rigorous bias detection across protected attributes in credit scoring, lending, and underwriting models. We implement mitigation strategies during model development, provide ongoing drift monitoring in production, and deliver explainability reports required by regulators. Our approach follows the NIST AI RMF and includes fair lending analysis, disparate impact testing, and automated governance systems that flag anomalies before they result in discriminatory outcomes.

All insights

NIST AI RMF vs ISO/IEC 42001: how the two AI governance frameworks compare

The NIST AI Risk Management Framework is a voluntary US framework organized around four functions — Govern, Map, Measure, and Manage — for identifying and reducing AI risk. ISO/IEC 42001 is an international, certifiable management-system standard for an AI Management System (AIMS). NIST AI RMF gives you a risk method; ISO 42001 gives you a certifiable governance structure. They complement each other rather than compete.

What the NIST AI RMF is

The NIST AI Risk Management Framework (AI RMF 1.0) is a voluntary framework published by the US National Institute of Standards and Technology. It organizes AI risk work into four core functions — Govern, Map, Measure, and Manage — supported by characteristics of trustworthy AI such as validity, safety, security, accountability, transparency, explainability, privacy, and fairness.

It is method-oriented and flexible: it tells you how to reason about and reduce AI risk across the lifecycle, but it is not certifiable and prescribes no fixed set of controls.

What ISO/IEC 42001 is

ISO/IEC 42001 is an international standard that specifies requirements for an AI Management System (AIMS) — a structured, auditable way for an organization to govern its use of AI, in the same management-system tradition as ISO 27001 for information security.

Because it is a certifiable standard, an accredited body can audit your AIMS and issue a certificate, which is useful evidence for customers, regulators, and boards.

Using them together

The two are complementary. Many organizations use the NIST AI RMF as the risk-analysis engine — how they identify, measure, and treat AI risks — and ISO/IEC 42001 as the surrounding management system that makes that work repeatable, documented, and certifiable.

A practical path is to stand up an AIMS aligned to ISO/IEC 42001, then operate NIST-AI-RMF-style risk assessments within it, mapping both to any binding regulation (such as the EU AI Act) that applies to your use cases.

NIST AI RMF vs ISO/IEC 42001 at a glance

	NIST AI RMF	ISO/IEC 42001
Nature	Voluntary risk framework	Certifiable management-system standard
Publisher	NIST (US)	ISO/IEC (international)
Structure	Govern, Map, Measure, Manage	AI Management System (AIMS) requirements
Certification	None	Available via accredited bodies
Best used as	The risk method	The governance structure around it

Frequently asked questions

Can you get certified against the NIST AI RMF?

No. The NIST AI RMF is a voluntary framework with no certification. For a certifiable AI governance standard, organizations look to ISO/IEC 42001.

Do these frameworks satisfy the EU AI Act?

They help you build the governance and risk practices the EU AI Act expects, but neither is a substitute for meeting the Act's specific legal obligations for your risk tier.

Which should you start with?

Many teams begin with NIST AI RMF to establish a risk method quickly, then formalize it into an ISO/IEC 42001 management system when they need certifiable, auditable governance.

This article is general information, not legal or compliance advice. Verify specifics against the current text of each framework and your own counsel.