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

EU AI Act vs GDPR: how they differ and where they overlap

The GDPR is EU data-protection law governing how personal data is processed. The EU AI Act is a product-safety-style law governing AI systems by risk tier. They overlap where AI processes personal data — for example, automated decisions with legal or similarly significant effects fall under GDPR Article 22, while the same system may be classified 'high-risk' under the AI Act. You often have to satisfy both.

What the GDPR governs

The GDPR governs the processing of personal data of individuals in the EU: lawful bases, data-subject rights, accountability, security, and — via Article 22 — limits and safeguards on solely automated decisions that have legal or similarly significant effects. It also requires Data Protection Impact Assessments for high-risk processing.

It is technology-neutral: it applies whenever personal data is processed, whether by AI or anything else.

What the EU AI Act governs

The EU AI Act regulates AI systems themselves, by risk tier — prohibited, high-risk, limited-risk (transparency), and minimal-risk. High-risk systems carry obligations around risk management, data governance, documentation, human oversight, transparency, and robustness (see our EU AI Act readiness explainer).

It applies to providers and deployers of AI systems, and its obligations attach to the system and its use, not only to personal data.

Where they overlap

When an AI system processes personal data — common in credit, hiring, and healthcare — both laws apply. A single system might require a GDPR lawful basis and DPIA and Article 22 safeguards, and simultaneously meet the AI Act's high-risk obligations.

The practical implication: map each AI use case against both regimes together, so your data-protection and AI-governance work reinforce rather than duplicate each other.

EU AI Act vs GDPR at a glance

	EU AI Act	GDPR
Governs	AI systems	Processing of personal data
Approach	Risk tiers + product-style obligations	Rights + accountability
Triggered by	Placing on market / using an AI system	Processing personal data
Key overlap	High-risk AI obligations	Automated decisions (Art. 22), DPIAs
Both apply when	The AI system processes personal data	The AI system processes personal data

Frequently asked questions

Does the EU AI Act replace GDPR?

No. They are separate and complementary. The AI Act regulates AI systems; the GDPR regulates personal data. Where AI processes personal data, both apply.

If I comply with GDPR, am I covered for the AI Act?

No. GDPR compliance addresses data protection but not the AI Act's system-level obligations (risk management, documentation, human oversight) for high-risk AI.

What does Article 22 have to do with AI?

GDPR Article 22 restricts solely automated decisions with legal or similarly significant effects and requires safeguards — directly relevant to many AI decisioning systems that also fall under the AI Act.

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