Comply360.AI

AI-powered Compliance Analysis Tool

Comply360.AI

Comply360.AI converts regulations into real-time code intelligence. It scans your source code and engineering documents against frameworks like GDPR, HIPAA, DPDP, or any custom policy set, detecting policy variances with precision. The platform then recommends line-level fixes and generates audit-ready reports, helping developers resolve issues quickly while giving compliance teams traceable proof.

Built for enterprise delivery, Comply360.AI runs securely within your environment and can route analysis through private LLM endpoints you control, ensuring complete data privacy and continuous compliance at scale. Powered by multiple agentic AI models, Comply360.AI blends automation and expert oversight to deliver both speed and confidence.

See Comply360.AI in Action

Discover how our AI-powered compliance co-pilot turns code and policies into continuous, traceable compliance.

The Compliance Challenge

Before Comply360.AI, compliance was slow,
manual, and full of blind spots:

Manual and time-consuming

Manual and time-consuming

Reviews by technology teams spanned weeks and relied heavily on the availability of SMEs who reviewed them manually

Error-prone

Error-prone

Mapping policies like GDPR or HIPAA to specific code lines invited human error

Poor traceability

It was nearly impossible to link a rule, a violation, and a fix in one view

No scalability

As codebases grew, backlogs and audit delays piled up

High-risk exposure

A single missed violation could result in penalties or reputational damage

That’s where Comply360.AI changes the game, turning compliance from a tedious manual effort into a process reviewed by AI with humans-in-the-loop built right into your workflow.

How Comply360.AI Works

Comply360.AI transforms compliance from a slow, manual review into a fast, automated pipeline that includes a human in the loop and fits naturally into your development flow. At its core, Comply360.AI operates on a dual-engine framework, where the Detection Engine identifies policy variances and the Remediation Engine provides precise, line-level fixes. Here’s how it works:

Connect & Scope

Connect & Scope

Securely connect your repositories and documents, choose regulations or custom rule sets, and define the scope of analysis

Detect & Explain

Detect & Explain

Our AI engines map policies to real code lines, detect potential violations, and explain the reasoning in plain English, not legal jargon

Remediate in Flow

Developers receive line-level fix guidance directly in their workflow, as PR comments, Markdown reports, or JSON outputs, making remediation fast and traceable

Prove & Scale

Every finding, fix, and rationale is logged for audit readiness. Dashboards track compliance progress, enabling continuous validation across growing codebases

Use it your way

Flexible by design, Comply360.AI supports both quick, targeted checks and full compliance audits

Prompt-based check

Ask targeted questions, such as “Are we handling personal data correctly?” to obtain focused findings and fixes

Full audit

Run predefined or custom rule sets across selected repos to produce violation lists with remediation guidance

Features of Comply360.AI

Built for enterprises, Comply360.AI makes compliance continuous, precise, and developer-friendly. Each feature is designed to accelerate trust in every release

LLM-powered detection

Maps complex regulations and custom policies to real code and documentation using AI, ensuring precise, contextual findings

Line-level insight

Line-level
insight

Highlights the exact files and line numbers where violations occur, paired with a clear explanation of the rule applied

Developer-ready fixes

Developer-ready fixes

Delivers remediation guidance in Markdown, JSON, or Word, formatted for quick adoption in your workflow

Flexible
rule sets

Use predefined standards such as GDPR, HIPAA, and DPDP, or tailor rule sets to your organization’s internal controls

Multi-language coverage

Analyzes Java, JavaScript, .NET, Python, JRules, and other enterprise languages with equal accuracy

A human-AI validation loop ensures every finding is accurate and audit-ready before results are finalized.

Real Impact. Faster Audits. Lower Risk.

Comply360.AI delivers measurable ROI by automating verification, reducing manual effort, and providing audit- ready evidence at every stage of development. Based on our experience, we have witnessed the following benefits that you can get by using comply360.AI:
60% reduction in compliance verification time

60%

reduction in compliance verification time

90% faster audit turnaround

90%

faster audit turnaround

50%

fewer manual compliance errors

Zero legal expertise required for developers

Zero

legal expertise required for developers

100%

traceable evidence for auditors and stakeholders.

Why Choose Opteamix
for Compliance Management?

With deep enterprise IT experience and proven AI delivery, Opteamix turns compliance from a point-in-time review into a continuous, automated control. Our pilot-first implementation approach ensures measurable value in weeks, from setup and rule definition to audit logging and constant monitoring.

Our domain experts and AI engineers fine-tune rule sets to minimize noise, strengthen evidence, and reduce risk. Every implementation starts with a focused pilot, enabling quick proof of value within weeks. From there, we guide your teams with clear KPIs and a roadmap for scaling to enterprise levels.

The result – “faster releases, fewer audit surprises, and lower total cost of compliance”

Ready to Make
Compliance Continuous?

Let AI handle compliance. Let your teams build the future.

Frequently Asked Questions (FAQs)

What exactly is Comply360.AI?
It’s an AI-powered compliance co-pilot that scans your code and documents for policy violations, such as GDPR, HIPAA, or internal data rules, and recommends line-level fixes.
Not at all. It’s built for developers. The platform translates legal requirements into clear, actionable checks that your teams can use directly in their workflow. No legal expertise needed.

Pretty much anything you need, GDPR, HIPAA, DPDP, and even
custom policies specific to your organization.

Comply360.AI connects to your repositories, reads your code,
maps it to the right rules, and flags any policy variances. It then
generates easy-to-read reports or pull request comments with
explanations and fix suggestions.

Java, JavaScript, .NET, Python, JRules, and others can be added based on your environment.

They can receive them as Word or Markdown summaries, JSON files, or inline PR comments, whatever fits your workflow.

Currently, there is no integration; however, if required, we can custom-build the integration.
It combines AI with a human-in-the-loop validation to improve precision and build trust in the results.
Line-level findings, rationale, and remediation, along with the rule that was applied, are generated in a traceable format, and leadership gains immediate visibility into compliance status.
Yes. It scans not just source code but also engineering documents, such as data flow diagrams or technical specifications. That means you can catch privacy and security gaps early, even before they appear in code.
You can typically see up to 60% faster compliance verification, 90% quicker audit turnaround, and significantly fewer manual review cycles, all while maintaining traceable, audit-ready evidence.

Yes. You can run prompt-based scans quickly or a full rules pass, as part of the audit.

In your environment. We deploy in your cloud or on-prem, so source code and documents never leave your control. Data residency, network policies, and storage all remain under your tenancy.
By default, nothing. Findings, evidence, and logs stay in your VPC or data center. Optional support telemetry is anonymized and can be disabled. No code is sent to external services unless you explicitly enable an enterprise LLM endpoint you control. If required, we can also leverage the capabilities of self-hosted SLMs for compliance analysis.
Yes. You can route analysis through your enterprise LLMs (for example, Azure OpenAI, AWS Bedrock, Anthropic) with customer-managed keys and private networking. Your data is not used to train shared models.
We’ll help you define rule sets, set up access, and run a pilot on a couple of repositories. Within weeks, you’ll see the impact and get a roadmap to scale.
Yes, that’s the usual path. Most teams start with a 1–2 repository pilot to demonstrate value, measure accuracy, and refine the rules. Once validated, scaling across your organization is straightforward.

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