Not a lab experiment. Not just a prototype. Our AI product development services help businesses design, build, and deliver production-ready AI systems across healthcare, fintech, retail, and other industries, supported by a dedicated AI team and proven outcomes.
Each case study gives a closer look at the challenge, our approach, and the measurable outcome delivered.
We work across industries, but our strongest AI product development track record is in healthcare and fintech, where we have multiple live clients, compliance experience, and measurable outcomes.
Most firms assign whoever is available to an AI project. We operate a structured AI department led by a department head, supported by three technical leads, mid-level engineers, and junior engineers, a 16+ person team focused entirely on AI and actively delivering client projects. This does not include team members already allocated to dedicated client retainers.
When you work with us, you hire AI developers who have solved these problems before, not teams figuring it out on your timeline. That team structure also means no key-person risk: your project does not stall when someone is on leave.
Behind the AI department is EvinceDev’s 200+ engineer bench, with 15 years of delivery experience across 32+ countries, available for mobile, backend, DevOps, and QA support as needed alongside enterprise AI development.
Department Head
Technical Leads
Total AI Engineers
Active AI Projects
Delivering Software Since 2012
Engineers Across All Stacks
Our AI product development capabilities are built and deployed in production environments, solving real business problems for live clients.
Our AI workflow automation services replace repetitive internal processes with intelligent pipelines for document intake, triage, routing, and reporting, reducing manual intervention across key workflows.
Unstructured documents read, classified, and routed by AI. Used in healthcare referrals, insurance claims, and financial intake flows.
AI models trained on your data to forecast demand, flag risk, surface anomalies, and enable proactive decisions before they become problems.
Chatbots, voice assistants, and document summarization tools built with LLMs, including multilingual support where needed.
AI features added to your existing product, including recommendation engines, smart search, auto-classification, and real-time scoring with our AI integration services.
Our AI copilot development approach helps embed decision-support tools inside your product, assisting users with suggestions, summaries, and guided actions while keeping humans in control.
Retrieval augmented generation systems that connect LLMs with your internal data sources to deliver accurate, context-aware responses.
Semantic search systems that help users find relevant information across documents, databases, and internal knowledge bases with higher accuracy than keyword search.
Autonomous AI agents that execute multi-step workflows, interact with systems, and complete tasks with minimal human input.
From the first conversation to the final handoff, every step is planned, transparent, and focused on delivering quality software.
30 minutes to understand your use case, data, and tech stack. With our AI consulting services, you can clarify technical feasibility, product direction, and whether we are the right fit before anything is signed.
Defined scope, fixed price, and defined timeline. One revision round is included, so there is no ambiguity going into the contract.
You see working progress every week, not a demo at the end of a three-month build. Milestones are agreed upon up front.
Full IP transfer, documentation, team training, and post-launch support. No dependency on us to keep it running.
Start with a pilot to validate the approach, move to a full build, or engage us on a retainer for continuous delivery.
Tell us what you are working on in two sentences. We will respond within one business day with a clear answer, no pitch, and no sales process unless you ask for one.
Real feedback from real clients. See how we've helped businesses solve problems, build better products, and achieve their goals.
CEO, Bankuity
CEO, Donary
CEO at The InStore Group
Things People Ask Before They Reach Out
No. The first week of every engagement includes a data audit. We tell you exactly what is needed and help you prepare it. If your data has gaps or quality issues, we flag them upfront rather than mid-build.
We handle scope changes with a written change order, with cost and timeline impact confirmed before any additional work begins. Nothing changes on your bill without your sign-off first.
We are model-agnostic. We have built with leading LLMs, Anthropic Claude, Google Gemini, Llama, and fine-tuned open-source models. We recommend the right fit based on your use case, data sensitivity, and budget, not what is easiest for us to build on.
Yes, we are an AI software development company, and our AI Pilot is designed exactly for this. Start with one workflow or feature, see it in production, and expand from there. Many businesses use this approach before moving into broader AI app development services or a full product build. Each package is independent but designed to connect if you choose to grow the work.
EvinceDev is ISO 27001:2013 certified for information security and CMMI Level 3 certified for process maturity. Our AI governance consulting approach supports secure, compliance-ready development practices for AI systems in healthcare, fintech, and insurance.
Yes. Full IP assignment on delivery. All agreed source code, documentation, architecture decisions, and project assets will be transferred to you. We have no ongoing licensing claim on what we build for you.
The scoping call is 30 minutes. We will walk you through our relevant AI product development work and past projects, show what we have built for similar companies, and give you a clear picture of what we would build before you commit to anything.
