How much does it cost to build an MVP in 2026?

A lean MVP for a US startup typically ranges from $15,000 to $60,000 depending on complexity, integrations, and team size. I help startups scope and build focused MVPs that validate core assumptions without over-engineering, usually in 8 to 16 weeks.

Can you add AI features to an existing SaaS product?

Yes. I integrate AI capabilities (LLM-powered features, recommendation engines, automation workflows) into existing SaaS platforms. Typical integrations use OpenAI, Anthropic, or open-source models, and I handle both the backend orchestration and the frontend experience.

What is your typical engagement for a US startup?

Most engagements start with a scoping call to map out the product, then move into a fixed-scope MVP build or a retainer for ongoing feature development. I work async-first, overlap US business hours, and deliver weekly demos so you always know where the build stands.

What results have you delivered for enterprise clients?

I have delivered a 45% reduction in operational costs for NanoByte Technologies, 70% faster performance for a real estate transaction platform used by JLL and Cushman & Wakefield, and 99.9% uptime on a CRM serving 2M+ users. KPMG saw 90% faster report generation after a financial compliance platform I built.

Do you work with early-stage startups or only established companies?

Both. I enjoy working with pre-seed and seed-stage founders who need to move fast and make smart technical bets. I also work with growth-stage companies scaling their SaaS infrastructure. Either way, the focus is on delivering business outcomes, not just shipping code.

10 AI Features That Actually Drive SaaS Revenue in 2026

10 AI Features That Actually Drive SaaS Revenue in 2026 | Zagham Abbas