The Compliance / AI Experts
Every enterprise deal asks for proof.
Frameworks keep multiplying.
We're here to help.
THE HARD PARTS //
What slows Regulatory Compliance teams down…
Compliance gates revenue
Enterprise, healthcare and higher-education buyers won't sign without a SOC 2 Type II report, HIPAA safeguards or a completed HECVAT. Until you have them, deals stall in procurement for months. Starting late means the audit window, the remediation work and the sales pipeline all land in the same quarter.
Evidence lives in spreadsheets
Controls are documented in a spreadsheet and proven with screenshots taken the week before the audit. Nobody knows whether access reviews actually happened, whether logs were kept or whether a new service skipped encryption. Each audit becomes a scramble that pulls engineers off the roadmap, and the next one starts from scratch.
Questionnaires never stop
Every prospect sends its own security questionnaire, and many send a DPA to negotiate. The questions overlap but are never worded the same way. Answers get copied from old responses that no longer match your systems, and an inaccurate answer can become a contractual commitment you can't keep.
The rules change under you
GDPR guidance, state privacy laws like the CCPA, PCI DSS updates and new AI rules arrive faster than a small team can read them. Mapping each change to your policies and controls is slow, manual work, so gaps are found by an auditor or a customer instead of by you.

175
Projects Delivered
Web platforms, AI systems, integrations and security programs shipped to production for startups and enterprises. Counted when they go live, not when the demo works.
25
Years in Business
Twenty-five years of shipping software, through every platform shift from the web to mobile, cloud and now AI. Long enough to know which shortcuts cost you later.
$80m
Assisted Capital Raised
Capital our clients have raised with products, prototypes and technical due diligence we helped build. Investors fund what they can see working.
AUDIT READINESS
Compliance is a revenue gate as much as a security exercise. SOC 2 Type I and Type II, HIPAA, HITRUST, HECVAT, PCI DSS, ISO 27001, GDPR and CCPA overlap heavily, but each has its own scope, evidence and auditor expectations. Teams that treat each framework as a separate project do the same work several times and still miss controls.
We map your systems to the frameworks your buyers ask for, close the gaps, and implement controls in your code and infrastructure, not a spreadsheet. Access reviews, change management, logging, encryption and backups produce evidence continuously, so the audit is a review of records you already have. We prepare your team for the auditor and stay through fieldwork until the report is issued.
AI FOR COMPLIANCE TEAMS
Compliance teams spend most of their week reading and writing: mapping policies to controls, tracking regulatory change, answering security questionnaires and redlining DPAs. Generic AI tools are risky here, because a confident answer that doesn't match your actual controls becomes a promise in a contract. The volume only grows, because every new customer brings its own questionnaire.
We build assistants grounded in your policy corpus, control library and past responses. They draft questionnaire and DPA answers with citations to the source policy, map new regulations to the controls they affect, and flag gaps for a person to decide. Every draft goes through human review before it leaves the building, and evaluations against approved answers show accuracy before the tool rolls out.
COMPLIANT PRODUCT ENGINEERING
Many compliance gaps are product gaps. An app without audit logs, retention rules or a way to export and delete a customer's data can't pass review, no matter how good the policies are. Retrofitting these features while an enterprise deal waits is slow and risky, and it usually happens under deadline.
We build compliance into the product itself: tamper-evident audit logs, data residency by region, retention and deletion schedules, scheduled access reviews, encryption at rest and in transit, and vendor review for every new subprocessor. Each feature maps to a named control, so your auditor sees working software instead of a promise, and your sales team answers customers with a link instead of a meeting.

MORE INDUSTRIES //
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AI Training
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