Amplework Software Verified Company

It was founded by Mr. Santosh Singh & Mr Prakash Saini

Anywhere from 25 to 40 projects a year

At Amplework Software, every project is custom-built, so the total cost varies based on the complexity, scope, technology stack, AI components, and delivery timeline. Instead of offering a one-size-fits-all price, we follow a transparent Time & Material (T&M) or Milestone-based pricing model to ensure clients pay only for the work they need. For reference and planning purposes, our typical project ranges are: AI/ML PoC Projects: Starting from $8,000–$15,000 AI Automation & LLM Integrations: $15,000–$40,000 Custom AI-Powered Applications: $25,000–$80,000+ Full-Scale Enterprise AI Solutions: $50,000–$150,000+ Hourly rates vary depending on developer seniority and technology stack, usually below $30/hr for most engineering roles. Your dedicated Account Executive will help you estimate a clear projected cost, provide multiple pricing options, and tailor the solution to your budget and business goals.

At Amplework Software, our values reflect the way we build, deliver, and scale intelligent technology for our clients. These principles guide every project, every interaction, and every solution we create. 1. Transparency & Honesty We communicate openly, share progress proactively, and ensure clients always understand the why behind every decision. No hidden costs, no surprises — only clarity. 2. Engineering Excellence We take pride in delivering high-quality, scalable, and well-architected AI and software solutions. Every line of code, model, and workflow is built with long-term performance in mind. 3. Innovation with Purpose We adopt new technologies only when they create real business value. Our focus is not on hype—it’s on building practical, production-ready AI that solves real problems. 4. Client-Centric Collaboration We treat every project as a partnership. Our approach involves working closely with clients, understanding their challenges, and adapting our strategy to their goals. 5. Accountability & Ownership We take responsibility for outcomes, not just output. Our team commits to delivering measurable value, meeting expectations, and standing behind our work. 6. Agility & Continuous Learning AI evolves fast—and so do we. Our team constantly learns, experiments, and refines its skillset to ensure we stay ahead of industry trends. 7. Ethical Use of AI We build responsible, secure, and trustworthy AI systems. Data privacy, fairness, and long-term sustainability matter deeply to us.