Software and AI services, from prototype to production.

RaftLabs builds custom web, mobile, and SaaS products, develops AI agents and automation, connects the systems your business already runs, and modernizes legacy software that's become hard to change. We also provide dedicated development teams for companies that need engineering capacity rather than a scoped project. Every engagement starts with a scoping sprint that produces a fixed price and timeline before development begins.

Start from your situation, not the service catalog. If you already have a prototype or MVP, that's prototype-to-production work. If you need to build a new product from scratch, that's custom software development. If manual work is costing your team hours, that's AI and workflow automation. If your existing software is hard to change or scale, that's legacy modernization. If you need more engineering capacity without a full-time hire, that's a dedicated team.

If more than one of these sounds right, or none of them quite fits, tell us the problem directly on a 30-min call. We'll recommend the approach, not sell you the service name that's easiest for us to say yes to.

Yes. Taking over an existing prototype, an inherited codebase, or a half-built product from a previous agency is a common starting point for us, alongside legacy modernization and adding AI capabilities to software that already exists.

We start with a technical audit: code quality review, architecture assessment, security scan, and performance profiling. The audit gives you an honest picture of what you have: what is salvageable, what needs to be rewritten, and what can be improved incrementally. We do not take over codebases blindly. If the audit reveals the system is too fragile to extend safely, we will tell you, along with a realistic cost comparison between remediation and rebuild.

Yes. Dedicated engineers embed directly into your existing team by discipline: frontend, backend, DevOps, or QA. They work in your tools, join your standups, and are matched to your stack within a week, with no recruitment overhead or long notice periods.

This also works alongside a scoped project: our team can own a defined piece of work end to end while coordinating with your in-house engineers on the rest, rather than requiring you to hand over the whole codebase.

Custom software development at RaftLabs is priced on a fixed-project basis after a one-week discovery sprint, not an open-ended hourly rate. Typical ranges: small web applications with 4–5 core features run $15,000–$30,000; mid-sized platforms with 6–9 features run $30,000–$65,000; complex enterprise systems with 10+ features start from $75,000.

AI and automation projects vary by complexity: simple chatbots start around $15,000; autonomous AI agents with multiple integrations run $30,000–$80,000; full AI platform builds can exceed $100,000. Voice AI deployments typically cost $20,000–$50,000. Mobile apps run $25,000–$70,000 depending on platforms and features. Dedicated engineers are billed monthly, typically $6,000–$12,000 per engineer, with no minimum commitment.

The fixed price is agreed before development starts and does not change unless scope changes, which is discussed explicitly before we proceed. To get a specific number for your project, request a 30-min call.

Most custom software projects at RaftLabs ship in 10–14 weeks from discovery to production deployment. The breakdown: Week 1 is discovery (stakeholder interviews, workflow mapping, scope definition). Weeks 2–3 cover design (wireframes, architecture, fixed-price agreement). Weeks 4–12 are development in bi-weekly agile sprints. Weeks 12–16 cover QA, load testing, and deployment.

AI and automation projects typically run 8–12 weeks. Voice AI agents deploy in 6–10 weeks. Mobile apps take 10–14 weeks. Complex enterprise builds extend to 16–20 weeks. Our average delivery is 12 weeks.

Yes. We build AI agents and automation pipelines that handle invoice processing, support ticket routing, and document data extraction without manual entry, and we connect the systems you already run through API development, CRM/ERP integrations, and business-systems integration work.

Most effective engagements combine both: automation handles the structured, high-volume work, and AI handles exceptions and judgment calls. We help identify which problem needs which approach before scoping.