When founders ask which software development firms are best for secure AI product development, the stakes go beyond typical vendor selection.
In 2025, Veracode tested over 100 large language models and found that 45% of AI-generated code samples included OWASP Top 10 vulnerabilities.
This shows that companies developing AI products need strong security practices, not just the ability to build working features.
For example, 86% of relevant code samples failed to defend against cross-site scripting flaws, and newer, larger models did not do better than older ones.
We assessed companies by looking at their AI development expertise, focus on security, and experience delivering AI products in regulated industries.
Key Things to Consider Before Hiring
Before you start comparing companies, it’s important to understand what makes a secure AI development partner different from a generalist.
- Look for a company that has a documented secure development process, not just a claim of using “best practices” in their sales materials.
- Choose a partner with experience in regulated fields like fintech, healthtech, or cybersecurity, where compliance really matters.
- Make sure they test for prompt injection and misuse, focusing on risks unique to AI systems instead of just traditional software.
- Time zone alignment, so security questions get answered in hours, not days
- Make sure IP and model ownership terms are clear and agreed on in writing before any work begins.
It’s rare to find a company that meets all five criteria. Most only meet two or three.
Quick Comparison Table
Which Firm Fits Your Situation?
| Firm | Best If You Need… | Security Differentiator |
|---|---|---|
| LoopStudio | A regulated-industry AI product built right the first time | SSDF-trained engineers, real-time nearshore collaboration |
| Apriorit | AI embedded in infrastructure or low-level systems | Formal Secure SDLC, system-level engineering depth |
| TechMagic | A US-based team with predictable delivery | Dedicated cybersecurity expertise built into pipeline |
| Neoteric | A generative AI or LLM-powered feature | Dedicated secure implementation phase |
| Scopic | Documented healthcare or enterprise compliance | HIPAA and SOC 2 certified |
Which Software Development Firms Are Best for Secure AI Product Development?
Here’s a closer look at each firm, matched to the specific situation it fits best.
1. LoopStudio

LoopStudio stands out for companies building AI products in fintech, healthtech, or cybersecurity.
Their engineers are SSDF-trained, so every AI-generated line of code is treated as untrusted input and reviewed right away, not just scanned later.
They work 1-2 hours off US Eastern time and answer security questions in real time, which is a big advantage over the 24-hour delays you often get with offshore teams.
This can make a real difference when a compliance question is holding up a release.
2. Apriorit

Apriorit focuses on products that need strong security and high performance, especially those that combine AI with low-level engineering.
Their team uses a formal Secure SDLC for every stage, from architecture to deployment.
This makes them a good choice for AI products that involve infrastructure, drivers, or embedded systems, where a single vulnerability can have serious effects.
3. TechMagic

TechMagic combines AI development with strong cybersecurity skills, working with US clients in healthtech, fintech, and cybersecurity who want a reliable process and clear responsibility.
They build security into the delivery pipeline from the start, instead of treating it as a separate audit.
This approach works well for teams that need ongoing, monitored performance after launch.
4. Neoteric

Neoteric guides projects through AI discovery, prototyping, and a secure implementation phase, instead of leaving security until the end.
They focus on LLM-powered assistants and recommendation systems for SaaS and fintech, making them a good choice for companies building generative AI features.
5. Scopic

Scopic holds HIPAA and SOC 2 certifications, making them a strong option for healthcare and regulated clients who need proof of compliance, not just promises.
Their partnerships with AWS and Google Cloud are also important for teams that want security guarantees at the infrastructure level as well as in their application code.
Conclusion
So, which software development firms are best for secure AI product development? Pick a partner that matches your product’s main risks.
For example, use LoopStudio if you work in a regulated industry; Apriorit for embedded systems; TechMagic for reliable US-based delivery; Neoteric for generative AI features; or Scopic for certified healthcare compliance.
No matter which company you choose, make sure you get their security process in writing before the project begins.
Want more insights on choosing the right development partner? Check out our blog.


