An AI chatbot is where most companies start with AI, so it is where we start with numbers. All three are production-ready. What changes is how much work the bot takes off your team.
Everything in Starter, plus:
Everything in Growth, plus:
Prices are indicative starting points. Third-party services, cloud infrastructure, licensing, ongoing maintenance, and requirements outside the agreed scope are estimated separately.
For solo founders and early-stage startups building a focused first release.
For startups and established businesses launching a focused customer-facing MVP.
For small and medium-sized businesses, replacing manual processes with an internal tool.
For established SMBs building or expanding a connected digital product.
For complex, regulated, or platform-scale software.
A single expert session, a technical audit, and a transformation program require different levels of involvement. Share your challenge, and we’ll recommend the right format, define the scope, and provide an estimate.
Similar products can require very different budgets. These factors determine the work involved and help shape the final estimate.
Clear requirements make the estimate more reliable. If key workflows and boundaries are still changing, redesign and rework may add 15–25% to the initial estimate.
Standard integrations are priced as part of the agreed scope. Custom APIs, legacy systems, and real-time synchronization are estimated separately.
Clean, structured data keeps AI development focused on the product. Data cleanup, labeling, migration, or a new pipeline can add 20–40% to the AI scope.
Security and compliance requirements can add 15–35% through access controls, encryption, audit logs, documentation, and additional testing. Certification and external audit fees are separate.
Adding a second platform does not simply add another screen size. Separate web, iOS, and Android products can cost 1.5–2.5× more than a single-platform release.
Extending a healthy codebase may be cheaper than rebuilding. Poor test coverage, outdated dependencies, or unstable architecture can add 20–50% to the planned scope.
There is no universally cheaper model. There is a model that fits how well you know your requirements. If you cannot tell which side you are on, a short discovery will pay for itself.
Choose this when the product will evolve as you learn from users, requirements will change, and you want to reprioritize between sprints without renegotiating a contract. Best suited to ongoing development and long-term engagements.
Choose this when the requirements are agreed, the scope is unlikely to grow, and you need budget certainty more than flexibility. Best suited to POCs, focused MVPs, audits, and standalone features.
These are examples of products we’ve delivered. Our expertise is not limited to the industries shown here.
Already built a product with Cursor, Claude or another AI tool? We can audit the code, resolve critical issues, and establish the engineering controls needed to ship and maintain it.
Enji GuardEnji Guard continuously audits your repository and live application for security risks, weak tests, dependency issues, runtime failures, and growing technical debt.
Schedule recurring AI-readiness, code quality, security, and runtime checks, then get reviewable issues or pull requests when the project starts drifting.
Connect GitHub and get a reviewable readiness report.
