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.

OpenAI vs Anthropic vs Open Source: Which AI Model Is Right for Your SaaS?

OpenAI vs Anthropic vs Open Source: Which AI Model Is Right for Your SaaS? | Zagham Abbas