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.
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.
Background intelligence woven into your existing product, recommendation engines, smart search, and real-time scoring that power features without changing the entire UI.
A visible assistant embedded directly in your product's interface, surfacing suggestions, summaries, as well as, guided actions for users, with humans kept 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.
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.
Each case study gives a closer look at the challenge, our approach, and the measurable outcome delivered.
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
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
AI workflow automation can streamline document intake, data routing, approvals, notifications, reporting, and other repetitive processes. It also helps reduce manual effort, improve consistency, and speed up workflows across teams and the systems.
Yes, we can integrate AI features, such as smart search, recommendations, personalization, automated insights, and real-time scoring into your current product without the need to rebuild the entire application.
Yes, we can connect a large language model with your approved documents, databases, as well as, knowledge sources to create more relevant and grounded responses. Access controls, source citations, and retrieval rules can also be included as per the need.
An AI copilot is an assistant embedded within a product or the business application. It can provide contextual suggestions, summaries, guided actions, and even decision support while keeping users in control of the final actions.
Yes, we can build AI agents that can manage multi-step workflows, connect with approved tools as well as business systems, and complete defined tasks with minimal manual effort. They can also include permissions, validation rules, activity logs, fallback controls, and also human approval for sensitive actions.
It can process invoices, contracts, claims, referrals, forms, receipts, financial records, and other structured or unstructured documents. AI can extract, classify, validate, summarize, and route the information based on business rules.
Traditional search mainly relies on exact keywords, while the AI search understands meaning, intent, and context. This helps users find more relevant and appropriate information even when their wording/phrases differ to an extent from the source content.
We implement enterprise-grade security with encryption, role-based access control, private model deployments wherever required, audit logging, as well as, compliance with the security policies of your organization. Your data remains under your ownership and is handled according to agreed privacy and compliance requirements.
It really depends on the project scope, what data you're working with, what needs to integrate, how complex the model is, and what are your estimated timelines and security requirements. For instance, a pilot usually runs $10,000 – $20,000, while the full product build starts somewhere between $30,000 and $120,000.
Yes. We provide post-launch support, model monitoring, performance optimization, issue resolution, and ongoing feature improvements. Dedicated AI retainer support is also available for products that require continuous development and maintenance.
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.
