AI can make your team build faster, but speed without control leaves behind messy, untraceable code. Hexaview Technologies delivers AI engineering services that keep every AI-generated line maintainable, auditable, and safe to evolve, so you move faster without losing control of quality, security, or compliance.
AI engineering is the discipline of building, governing, and scaling AI-assisted software so it stays reliable in production. Hexaview Technologies is an AI engineering services company built for regulated industries, pairing tools like Cursor, Claude, and GitHub Copilot with governance that delivers a 60% drop in defect rates, an Order Management System rebuilt in 8 months instead of 5 years, and zero audit failures after AI integration across 16+ years of delivery.
Delivering 16+ years of excellence
Five connected services take your AI-assisted product from first prompt to ongoing scale.
Four offerings cover the full AI-assisted product lifecycle.
End-to-End AI Development
Every stage from use-case discovery and prompt engineering through deployment and monitoring.
Validation & Security Hardening
Automated testing, security scanning, and secure-coding gates applied to every AI-generated component.
AI-Assisted Modernization
Rebuild legacy cores faster with AI pair programming; see our legacy modernization services.
Continuous Governance & Support
24/7 monitoring, model alignment, and feature enhancement after launch.
Delivered with our Simple, Lovable, Complete (SLC) model. Each milestone ships as a working, validated increment, not a half-built feature behind a flag.
Regulated, data-intensive sectors where compliance, explainability, and uptime matter most.
There is no single best AI for engineering; the right answer is a governed stack chosen per project. Every tool below is enterprise-tested and backed by proven workflows. Where ownership matters for traceability, note that GitHub Copilot is built on OpenAI models and operated by GitHub, a subsidiary of Microsoft.
We reimagined an Order Management System (OMS) for wealth management that had originally taken five years to build. Using AI-assisted methods under full governance, we rebuilt the core in just eight months, with higher quality and stronger validation from users.
"Rebuilding a five-year OMS core in just eight months proves the incredible velocity of AI pair programming. However, our true success was implementing the strict governance required to ensure every line of that AI-generated code remains fully auditable, secure, and ready for enterprise scale."
Ankit Agarwal, CTO, Hexaview Technologies
Hexaview Technologies has spent more than 16 years building secure, data-heavy software for regulated industries, and we bring that same discipline to AI-assisted delivery. What sets our AI engineering services apart:
Can't find the answer you're looking for? Our FAQ section provides quick, helpful information on our products, services, and policies.
Hexaview Technologies provides end-to-end AI engineering services, including AI strategy and consulting, prompt engineering, custom AI-assisted development, automated quality and validation frameworks, governed AI integration, deployment, monitoring, and lifecycle optimization.
AI engineering is the discipline of building software where AI writes or assists a large share of the code, then wrapping that code in testing, traceability, and governance so it is safe to ship. In short, AI engineering turns fast AI output into reliable, auditable, production-grade software.
There is no single best AI for engineering; strong teams combine tools. Hexaview uses Cursor, Claude, Codex, and GitHub Copilot for co-development, paired with Selenium, Playwright, and Pytest for validation, and chooses the right mix per project rather than forcing one tool on every problem.
Prompt engineering is how we steer AI coding tools toward correct, secure, and maintainable output. Our engineers design and refine prompts as part of the build, then validate every result, so prompt engineering accelerates the first draft while review and testing guarantee the final quality.
We treat AI output as untrusted input. Every AI-generated segment is labeled and traceable, and we apply secure coding, automated security testing, and SOC 2 and HIPAA practices throughout the lifecycle, contributing to our zero audit failures after AI integration. This directly counters the industry trend in which Veracode (2026) found 45% of AI-generated samples introduce an OWASP Top 10 vulnerability.
We focus on regulated, data-intensive sectors: financial services, healthcare, insurance, wealth management, and enterprise SaaS, where explainability, audit readiness, and uptime are non-negotiable.
Cost and timeline depend on solution complexity, data readiness, integration needs, and infrastructure, not a flat price. Hexaview follows a phased, scope-based approach; for context, we rebuilt a five-year OMS core in eight months. Share your goals for an estimate.
Three: fixed-scope projects for defined builds, dedicated teams for evolving roadmaps, and staff augmentation to extend your in-house group. We help you pick the right model, then flex it as your AI engineering needs change.
Hexaview combines 16+ years of regulated-industry engineering, governance that keeps AI-generated code auditable, specialist AI and data talent, and flexible engagement models, so you get AI velocity without sacrificing security, compliance, or long-term maintainability.
Speak with our AI engineering specialists to scope your build, from a governed AI-assisted MVP to enterprise-scale modernization, with quality and compliance engineered in from the first prompt.
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