4.9/5 on Clutch — 13 verified reviews

Enterprise Compliance Services

Enterprise buyers and regulators will not sign off until your AI is proven audit-ready. Kodexo Labs, an Austin-based AI firm founded in 2021, builds SOC 2 Type II readiness, HIPAA and GDPR architecture, and audit evidence directly into products shipped across 25+ industries.

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TRUSTED BY ENTERPRISES

When an enterprise deal or funding round hinges on proving your AI is safe, we handle the underlying AI security, governance and compliance work and deliver the exact readiness capabilities your auditors demand.

Our Core capabilities

  • Documented compliance readiness built across gap assessment and audit review.

  • HIPAA and GDPR data architecture built into your AI product.

  • Audit evidence automation that removes tedious manual screenshot collection forever.

  • Access control and identity engineering mapped to strict least-privilege standards.

  • Compliance program documentation your reviewers and regulators can actually read.

  • Continuous monitoring that flags control drift before your next audit.

IN THE NEWS

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51

AI-powered products

Top-Rated

AI Development Company

94%

Client retention rate

2021

Founded in Austin, Texas

What Our Enterprise Compliance Work Covers

Auditors and enterprise buyers rarely accept promises about your AI. They want documented controls, tested evidence, and defensible architecture. Each capability below maps to a specific HIPAA, GDPR, or ISO 27001 requirement that reviewers check closely.

SOC 2 Type II Readiness

Most teams find control gaps weeks before an audit. We run the gap assessment early, then build every SOC 2 Type II control.

Gap Assessment

We check each of your controls against the SOC 2 Type II trust rules.

Control Remediation

We fix and retest each gap in your controls before the real audit date.

Your Enterprise Deal Is Waiting On Compliance Proof

Every week without documented controls delays the contract, round, or regulator sign-off. We can start your SOC 2 Type II readiness right now.

Compliance Work In Production

Teacher AI - Edtech Platform

Personalised tutoring had never scaled affordably. Kodexo Labs built Teacher AI to give every student a tutor in their native language, on demand. The in-house product now generates $5M+ in revenue.

50,000+

Users

30+

Countries

$5M+

Revenue

IFPG

IFPG's chatbot returned HTML-broken, inaccurate answers to every prospect, killing leads at first contact. Kodexo Labs rebuilt the reasoning layer with chain-of-thought prompting and eliminated all HTML errors.

85%

Accuracy Lift

100%

HTML Error Elimination

1000+

Franchise Listings

IFPG
Therapy Talk

Therapy Talk

A mental-health platform launching into the EU needed GDPR architected from day one. Kodexo Labs built a privacy-first multi-agent framework routing inference through on-premise endpoints.

1923

Active Users

93%

Response Accuracy

20%

Session engagement

Therapy Talk
DRAG

What Clients Say About The Team

Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.

Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.

Christopher Brigham

MD President, Brigham and Associates, Inc.

WATCH VIDEO

  • HIPAA compliance validated
    PHI access logging
    Breach notification ready
    Audit trail automation

Your compliance obligations shift with every industry you enter

Regulators, enterprise buyers, and auditors judge your AI product against the rules of your sector. We map SOC 2 Type II controls to the exact framework each vertical demands, so your compliance evidence holds up under review.

Your enterprise contract is waiting on a compliance answer today

Most teams start compliance work only after a buyer or regulator demands it, then scramble. We move faster because we have already built audit-ready evidence for AI products across so many regulated sectors.

Every framework your enterprise buyer and auditor will demand

Before an enterprise deal closes, procurement teams send security questionnaires that reference a dozen frameworks at once. We build your AI compliance program against the strictest applicable standard first, then map the overlapping controls that satisfy HIPAA, GDPR, and every framework badge shown below.

PCI-DSS

PCI-DSS

hipaa-logo

HIPAA

gdpr-compliance

GDPR

NIST CSF

NIST CSF

soc-aicpa

SOC 2

iso-27001

ISO 27001

ccpa-compliance

CCPA

FERPA Logo

FERPA

NIST AI RMF Logo

NIST AI RMF

EU AI Act Logo

EU AI Act

PCI-DSS

PCI-DSS

hipaa-logo

HIPAA

gdpr-compliance

GDPR

NIST CSF

NIST CSF

soc-aicpa

SOC 2

iso-27001

ISO 27001

ccpa-compliance

CCPA

FERPA Logo

FERPA

NIST AI RMF Logo

NIST AI RMF

EU AI Act Logo

EU AI Act

Why compliance leaders trust our team to make their AI product truly audit-ready

You cannot afford a compliance gap surfacing during due diligence. We have already documented fully audit-ready compliance for AI products across healthcare, logistics, and automotive, with the evidence auditors and enterprise buyers actually accept fully.

AI Security, Governance and Compliance icon

GDPR Compliance Built In

We built Therapy Talk, a mental-health AI, to serve 1,923 users at 93% accuracy under GDPR. Consent, data handling, and deletion are aligned with SOC 2 Type II controls in one evidence set.

data-pipeline

Your Infrastructure, Your Data

For Diesel Laptops, an Inc. 5000 firm, we ran AI in a self-hosted AWS VPC, keeping 160,000-plus records under their control. Parts lookup got 85% faster on a network boundary auditors can review.

Audit-Ready At Enterprise Scale

For Extensiv, an Inc. 5000 logistics firm, we mapped controls across 207 tables and 4 databases at 90%-plus accuracy. That rigor won a 5.0/5.0 Clutch rating and made their SOC 2 evidence easy.

Compliance Mapped Before Build

Since 2021 we map every requirement during discovery, so each control is designed into the build, not bolted on later. Weekly demos keep it visible, and 94% of our clients stay with us.

Is Compliance Blocking Your Next Enterprise Deal?

A procurement team sent a security questionnaire, and the audit deadline is weeks away. You need documented SOC 2 Type II readiness, not a vague roadmap. That is exactly the moment our compliance team moves fastest.

Recognised By The Platforms That Vet AI Companies

Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.

Top Clutch Artificial Intelligence Company 2024 Award
Top Clutch Machine Learning Company San Francisco 2026
Top Artificial Intelligence Company
Top Artificial Intelligence Companies 2022 by TopAppFirms
Top AI Development Company by Selected Firms
Top Clutch Chatbot Company 2024 Award
Clutch Spring Champion 2024
Upwork Top 1% · Top Rated
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026
Top Clutch Artificial Intelligence Company 2024 Award
Top Clutch Machine Learning Company San Francisco 2026
Top Artificial Intelligence Company
Top Artificial Intelligence Companies 2022 by TopAppFirms
Top AI Development Company by Selected Firms
Top Clutch Chatbot Company 2024 Award
Clutch Spring Champion 2024
Upwork Top 1% · Top Rated
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026

Overcoming Common Enterprise Compliance Services Challenges

Compliance rarely fails at the finish line. It fails when controls, evidence, and audit readiness surface as afterthoughts. For teams chasing an enterprise contract or funding round, gaps discovered late in a build cost weeks that nobody had planned for.

Problem

Compliance Bolted On Late

Engineering ships features first, then scrambles to retrofit controls before an audit. Retrofitting encryption, access rules, and logging after launch multiplies risk.

Solution

  • We map every SOC 2 Type II control into the first sprint backlog.

  • Threat models and data flows get documented before any production code gets merged.

  • Encryption, logging, and role based access ship as requirements, never as later patches.

Problem

Evidence Collection Drains Engineering

Auditors demand screenshots, logs, and control proof every single cycle. Engineers stop building and spend days assembling spreadsheets that repeat each quarter.

Solution

  • We automate evidence capture so audit artifacts generate continuously without any engineer effort.

  • Control status pipes into live dashboards auditors can review without new engineering tickets.

  • Logs and access records retain automatically, meeting every framework's retention windows.

Problem

Controls Drift After Launch

Configurations change, teams grow, and permissions sprawl. Six months after certification, the environment no longer matches the controls an auditor signed off.

Solution

  • We deploy continuous monitoring that flags configuration drift the very moment it appears.

  • Policy as code enforces access rules automatically as new services and users onboard.

  • Quarterly re-certification checks keep every control's evidence current between formal audits.

Problem

Third Party Model Exposure

Teams pipe regulated records into external model APIs. That single call moves protected data outside your boundary, breaking residency promises auditors verify.

Solution

  • We redact identifiers with Presidio before any prompt reaches a third party model.

  • Self-hosted inference inside your VPC keeps regulated workloads within one auditable network boundary.

  • Every subprocessor gets reviewed, contracted, and documented before procurement reviewers ever ask questions.

Problem

Compliance Bolted On Late

Engineering ships features first, then scrambles to retrofit controls before an audit. Retrofitting encryption, access rules, and logging after launch multiplies risk.

Solution

  • We map every SOC 2 Type II control into the first sprint backlog.

  • Threat models and data flows get documented before any production code gets merged.

  • Encryption, logging, and role based access ship as requirements, never as later patches.

Problem

Evidence Collection Drains Engineering

Auditors demand screenshots, logs, and control proof every single cycle. Engineers stop building and spend days assembling spreadsheets that repeat each quarter.

Solution

  • We automate evidence capture so audit artifacts generate continuously without any engineer effort.

  • Control status pipes into live dashboards auditors can review without new engineering tickets.

  • Logs and access records retain automatically, meeting every framework's retention windows.

Problem

Controls Drift After Launch

Configurations change, teams grow, and permissions sprawl. Six months after certification, the environment no longer matches the controls an auditor signed off.

Solution

  • We deploy continuous monitoring that flags configuration drift the very moment it appears.

  • Policy as code enforces access rules automatically as new services and users onboard.

  • Quarterly re-certification checks keep every control's evidence current between formal audits.

Problem

Third Party Model Exposure

Teams pipe regulated records into external model APIs. That single call moves protected data outside your boundary, breaking residency promises auditors verify.

Solution

  • We redact identifiers with Presidio before any prompt reaches a third party model.

  • Self-hosted inference inside your VPC keeps regulated workloads within one auditable network boundary.

  • Every subprocessor gets reviewed, contracted, and documented before procurement reviewers ever ask questions.

Every tool listed is in active production on a Kodexo Labs.

Every framework, runtime, and cloud service named here is running on a live client product right now. No theoretical stack, no resume keywords, no tools added for marketing weight.

Python
Python

How We Deliver Enterprise Compliance On Schedule

Enterprise buyers want a fixed timeline before they sign, not an open-ended roadmap. Five phases deliver documented controls and audit evidence.

1

Gap Assessment (Days 1-5)

We audit your environment against SOC 2 Type II and any framework buyers require, such as HIPAA or GDPR. You leave with a ranked list of every gap and its owner.

2

Control Architecture Mapping (Week 2)

We design the control architecture, mapping each requirement to a technical owner, a policy, and an evidence source. Access models, encryption standards, and data flows get documented before engineering writes a single new line.

Design & Prototyping
3

Build and Evidence Automation (Weeks 3-5)

Engineering builds against the control map while evidence automation runs in parallel. Logs, access records, and control status flow into dashboards continuously, so audit artifacts accumulate as the product ships.

Development and Integration
4

Audit Simulation Validation (Week 6)

We run a full audit simulation, testing every SOC 2 Type II control the way an assessor would. Gaps get closed before the real audit starts, and your evidence package arrives organized for review.

5

Continuous Monitoring Recertification (Ongoing)

After certification, continuous monitoring watches for drift and re-certification stays on schedule. Policy as code enforces controls as your team grows, keeping every framework's evidence current between formal audits.

Related Insights

HIPAA-Compliant Agentic AI for Better Patient Care in Healthcare

August 2025 · By Kodexo Labs

Explore how HIPAA-compliant agentic AI transforms healthcare with autonomous decision-making, personalized care, and secure data handling, reducing readmissions by 20-30% and improving patient satisfaction by 25-40%.

Agentic AI Applications, Benefits and Challenges in Healthcare

August 2025 · By Kodexo Labs

A comprehensive guide to agentic AI applications in healthcare for 2025, covering benefits, challenges, technical infrastructure, leading platforms, and implementation best practices.

What is bias in AI? Examples, Causes, effects and mitigation strategies in 2025

September 2025 · By Kodexo Labs

AI, often hailed as a revolutionary force, is increasingly being scrutinized for its potential biases and inaccuracies. While these intelligent systems can process vast amounts of data at unprecedented speeds, concerns have arisen about their ability to produce misleading or false information, a phenomenon often termed “hallucination.” This essay delves into the intricate relationship between bias in AI and its propensity for generating fabricated content, exploring the implications for various fields and potential solutions to this complex issue.

Frequently Asked Questions About Enterprise Compliance Services

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Still weighing whether your AI system will hold up under an enterprise security review?

Book a Discovery Call

Yes. Kodexo Labs builds HIPAA-compliant AI where technical, administrative, and physical safeguards are architected in from the start rather than bolted on. SmartMedHx runs on this approach, processing 493 clinical interviews across 42 providers with a patent-pending architecture. Encryption, access controls, and audit logging satisfy HIPAA requirements, and the same discipline extends to SOC 2 Type II readiness when enterprise buyers ask for documented proof.