How can we
help you?

Find answers, get technical help, or reach out to our team directly.

Email Support

For general inquiries, technical issues, or project questions. We typically respond within 24 hours.

ayuh.dev@gmail.com

Documentation

Comprehensive guides, API references, and integration tutorials for self-service support.

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FAQ

Quick answers to the most common questions about our services, pricing, and process.

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Frequently Asked Questions

What industries do you work with?

We work across industries including healthcare, finance, e-commerce, manufacturing, logistics, and education. Our solutions are tailored to each domain's specific challenges and data requirements.

How long does a typical AI project take?

It depends on scope, but most projects follow our 4-step process: Discovery (1-2 weeks), Design (1-2 weeks), Build (4-8 weeks), and Scale (ongoing). Simple proof-of-concepts can be delivered in 2-3 weeks.

Do you work with startups or only enterprises?

Both. We tailor our engagement model to your size and budget. Startups often benefit from focused 4-6 week sprints, while enterprises may need longer-term consulting and implementation partnerships.

What does pricing look like?

Pricing depends on the scope of the project. We offer both project-based pricing and monthly retainers. Reach out to ayuh.dev@gmail.com with a brief description of your needs and we'll provide a custom estimate.

Can you work with our existing data infrastructure?

Absolutely. We integrate with your existing stack — whether that's AWS, GCP, Azure, on-premise servers, or a mix. We'll assess your current infrastructure during Discovery and design the solution to fit.

How do you handle data privacy and security?

Security is foundational. All data is encrypted in transit and at rest. We follow least-privilege access principles, sign NDAs, and can work within your organization's compliance requirements (HIPAA, SOC 2, GDPR).

Do you provide ongoing support after deployment?

Yes. We offer post-deployment monitoring, model retraining, and ongoing optimization packages. AI models need maintenance as data patterns change — we keep your solutions performing at their best.