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I'm Vijay Amin, Founder and CEO of VertiComply โ an AI-powered no-code platform that helps healthcare teams build production-ready, compliant applications without spending months on compliance engineering.
With over 21 years of enterprise IT experience across healthcare, cloud, and AI, I've seen the same problem repeat at every organization I've worked with: building healthcare software is hard, but making it compliant with HIPAA, GDPR, SOC 2, FDA 21 CFR Part 11, HITRUST, EU AI Act, ABDM, DPDP, and other frameworks is what actually slows teams down. Most projects spend more time on audit trails, consent flows, encryption standards, and documentation than on the actual product. That's the gap VertiComply was built to close.
VertiComply lets developers, founders, and healthcare IT teams describe what they want to build, and generates production-ready, exportable code with 15+ compliance frameworks built in from the start. No vendor lock-in. No black box. You own the code, you own the data, and you can take it anywhere.
My background spans full-stack development (Python with Django and FastAPI, React, PostgreSQL, AWS), enterprise architecture, and large-scale healthcare IT delivery. I've worked on everything from EHR integrations to cloud governance to AI-driven automation. That hands-on experience shapes how VertiComply is built โ practical, developer-first, and grounded in what actually breaks during a real security review.
Beyond VertiComply, I'm interested in how regulated industries can adopt AI responsibly, how no-code tooling is changing healthcare software delivery, and how founders in emerging markets can compete globally. I'm based in Ahmedabad, India, and VertiComply is a DPIIT-recognized startup.
If you're building healthcare software, exploring compliance automation, or just want to talk about the future of no-code in regulated industries, I'd love to connect.
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VertiComply's answer:
Because VertiComply is the only no-code platform that gives you exportable production code and multi-framework compliance built in, so you ship faster without being locked in or audit-exposed.
VertiComply's answer:
Most no-code platforms lock you in and ignore compliance. Most compliance tools just give you checklists. VertiComply does both, it generates real, exportable production code (Python, React, PostgreSQL) with HIPAA, GDPR, SOC 2, FDA Part 11, HITRUST, EU AI Act, ABDM, and DPDP controls built into the architecture itself. No vendor lock-in. No black box. Built by someone with 21+ years in enterprise healthcare IT, for teams who actually have to pass a real audit.
VertiComply's answer:
Healthcare founders, CTOs, and dev teams who need to ship compliant apps fast, without hiring a compliance officer or spending six months on audit prep.
VertiComply's answer:
After 21 years building enterprise healthcare IT systems, I kept seeing the same pattern. Brilliant teams with great product ideas would spend the first six months of every project not on the product, but on compliance plumbing. Audit logs. Consent flows. Encryption standards. BAAs. Risk assessments. The actual user-facing application would get whatever was left of the budget and timeline.
The compliance work wasn't going away, it shouldn't. HIPAA, GDPR, FDA Part 11 exist for good reasons. But the way teams were doing it, manually, from scratch, on every single project, made no sense in 2026.
VertiComply was built to solve that. It generates production-ready healthcare apps with 15+ compliance frameworks built into the architecture from the first line of code. Real code. Exportable. Yours to own.
The mission is simple: let healthcare teams spend their time on the patient, not on the paperwork.
VertiComply's answer:
VertiComply is built on Python (Django, FastAPI), React, PostgreSQL, and AWS, the same stack we generate for our users.
VertiComply's answer:
VertiComply launched earlier this year and already has 50+ registered users and 7 paying customers, mostly healthcare startup founders and small health-tech teams building telemedicine apps, patient portals, and intake systems. We're still in the early-customer phase and focused on making every one of them a successful audit story.
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This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 4 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 6 days ago
Fallback chains โ og:title โ twitter:title โ- SSRF protection โ if you fetch user-supplied URLs, you MUST block
localhost, RFC-1918 ranges, and internal hostnames, or your preview endpoint is a proxy into your own infrastructure- Caching โ you do not want to re-fetch a URL on every render
- Rate limiting โ a public...
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