Header Images

AI Product Development
Company

Cross the rift between a pilot that looks impressive and a production-grade AI that holds up with real usage. As a custom AI development company, we start with your business problem and your data, then design the product around what the model can reliably do.

An evaluation harness catches regressions before release, and guardrails handle the cases the model gets wrong. It's how we run GoodBilling, our own agentic AI platform in production.

Use cases,
KPIs 01
Data readiness 02
RAG / fine-tuning 03
Guardrails 04
Fallbacks 05
Human in the loop 06
Model CI/CD 07
Drift monitoring 08
Cost optimization 09

Our AI product
development services

We build custom AI and ML products, and run AI across every stage of delivery,
so a small senior team ships what used to take a large one.

AI strategy & use-case discovery

MindK helps you decide what to build before you build it: which use case AI actually improves, what data it needs, and how you’ll measure whether it works. This is the first step of our AI development services, and you leave it with a roadmap and clear success criteria, not a proposal.

Data assessment
Success metrics
Evaluation criteria defined up front
Prioritized roadmap
Learn more

Custom AI and ML product development

We build AI and ML products from scratch, around your data and your users. Custom AI software development covers agentic workflows, model-backed features, and the guardrails and evaluation that keep them dependable under real traffic.

Agentic workflows
Model-backed features
RAG
Custom data pipelines
Evaluation harness
Guardrails
Fallbacks
Human-in-the-loop
Learn more

AI-accelerated MVP development

Get a fully functional product in front of customers fast, so you collect real feedback before over-investing. Up to 80% faster time-to-market with a team of one Solution Architect and a part-time Proxy Product Owner.

Working product in weeks
2x-4x lower total cost of ownership
Core use case validated
Real usage data guidштп development
Clear go/no-go criteria
Learn more

Integration of AI into existing products

Bring AI into a product you already run, without rebuilding it. We connect models to your systems, APIs, and data sources and serve them inside your existing infrastructure, so you can ship AI features into a live product while keeping it stable for current users.

Agentic AI middleware
RAG + your databases and docs
Model-serving layer behind
Open-weight models
Hosted models (AWS Bedrock, Azure OpenAI)
Gradual rollout behind feature flags
Learn more

MLOps & AI product sustenance

Keep the product reliable after launch. We monitor for model drift, retrain on a schedule, manage versioning and rollouts, and watch the inference bill so quality and cost stay in line as usage grows.

Model drift
Performance monitoring
Scheduled retraining
Model versioning
Controlled rollouts
Inference cost optimization
Learn more

Choose your cooperation model

Our AI product development company offers several engagement models designed for different organization types and stages of the product lifecycle.

AI product development
case studies

Explore the stories of companies that benefited from our AI application development services.

  • Background for

    GoodBilling, USA

    End-to-end agentic RCM delivered at 1/5th of the cost

    GoodBilling is MindK’s platform that automates revenue cycle management where healthcare providers quietly lose revenue. AI agents make the payer calls and status checks people used to handle by hand, and move each claim from eligibility through submission. A wrong answer costs money and creates compliance exposure, so the pipeline runs under strict guardrails and human oversight.

    • 80% reduction in development costs compared to the pre-AI approach. 
    • Agentic pipeline from eligibility to claim.
    • HIPAA-compliant architecture from the first version.
    • Integrations with top-10 EMRs.
  • Background for

    USA

    500+ healthcare services in AI-powered application

    Our client got an AI-powered app that digitizes over 500 services. They range from rapid medical testing to automated checkup scheduling. After receiving positive feedback, our team re-architected the solution into a multi-tenant SaaS. Features like supply chain management for clinics and integrations with the country’s leading labs helped our client acquire 12 enterprise customers.

  • Background for

    Service Call, USA

    Saving $162,800 with AI assisted development

    A San Francisco startup wanted a platform for field technicians to run remote consultations and collect payment, but didn’t want to staff a full engineering team to get there. We built the entire system on our in-house AI framework.

    • Built by one Senior Engineer and a part-time Proxy Product Owner.
    • Live video estimates for on-site jobs.
    • Remote consultations for easy fixes.
    • Secure in-app payments.
  • Background for

    Salon Tonight, USA

    10x the inventory of its nearest competitor

    A booking startup needed to launch with enough salon inventory to look credible against an established rival, on a budget that wouldn’t cover a large build. Our AI software development services made the math work.

    • AI-driven development framework
    • 10x more salons than its nearest rival
    • Over 70% of budget saved
    • Real-time booking for consumers
    • 1
    • 2
    • 3
    • 4

    Trusted by

    Paramount customer logo
    Adidas customer logo
    Levels customer logo
    Roblox customer logo
    Shift customer logo
    Workato customer logo

    Tackle the risks
    upfront

    Discovery is the first stage of our AI product development services, and its job is to kill the wrong ideas before a model is trained or a line of code is written.

    Valaue risk

    Find an AI-driven solution users will choose to use and pay for, not a clever demo they try once.

    ✔A prioritized product roadmap

    01

    Usability risk

    Make sure your audience can work with output that is probabilistic, so the interface earns trust instead of eroding it.

    ✔Designs based on UX research insights

    02

    Feasibility risk

    Confirm the data and models the product needs actually exist, and that the use case is buildable with current tools.

    ✔ Data readiness assessment and technical documentation

    03

    Business viability risk

    Check the product fits your budget once the inference and running costs are counted, and works for the business.

    ✔ Effort estimate & schedule

    04

    Shape your AI product
    collaboratively

    We call ourselves high performers. Product managers, designers, AI/ML engineers, and QA pros work side by side, in a give-and-take way, to come up with technology that your customers love.

    Product manager

    Determines what needs to go into the product backlog.

    UI/UX designer

    Designs prototypes and refines the final look and feel.

    Software engineers

    Define the tech stack, develop, and test the software.

    AI/ML engineer

    Designs the data pipelines, selects and evaluates the models, and builds the AI-backed features.

    Meet MindK's team

    We solve problems,
    not just tick boxes

    Most AI products die between the demo and production. The prototype dazzles on a curated example, then breaks on the messy inputs real users bring. Many teams ship without an evaluation harness, so they can't tell whether the last change made the model better or worse. And almost no one models the running cost until the inference bill arrives.

    Challenge

    An AI feature that works 80% of the time is a demo. The last 20%, meaning the wrong answers, the edge cases, and the drift as data changes, is where users lose trust and churn. Without a way to measure quality and a plan for the failure cases, an AI product stalls right after launch.

    01

    Solution

    We define what "good" means during discovery and stand up the evaluation harness early, so every change is measured rather than guessed. Engineers own the failure cases by design, with guardrails, fallbacks, and a human in the loop where the stakes demand it. We model inference and running costs before the build, so the unit economics still hold when usage grows.

    02

    Custom AI development is about discovery and delivery.
    The goal of discovery is to develop the right product. The goal of delivery is to develop a product in the right way.
    You can count on us to do both.

    AI & technology stack we use
    to build products

    Explore technologies that form the backbone for the majority of projects involving AI/ML development services. The exact stack is decided in discovery, driven by your data, existing systems, the regulations you operate under, and the cost and latency the use case can carry. Where you already run infrastructure, we build on it rather than around it.
    • Amazon Web Services Amazon Web Services
    • Microsoft Azure Microsoft Azure
    • Google Cloud Platform Google Cloud Platform
    • Node.js Node.js
    • Python Python
    • TypeScript TypeScript
    • React React
    • Next.js Next.js
    • Angular Angular
    • PostgreSQL PostgreSQL
    • MySQL MySQL
    • MongoDB MongoDB
    • ArangoDB ArangoDB
    • Terraform Terraform
    • Kubernetes Kubernetes
    • Datadog Datadog
    • OpenAI OpenAI
    • Claude Claude
    • Gemini Gemini
    • Azure OpenAI Service Azure OpenAI Service
    • AWS Bedrock AWS Bedrock
    • Meta Llama Meta Llama
    • Mistral Mistral
    • Hugging Face Transformers Hugging Face Transformers
    • Deepgram Deepgram
    • ElevenLabs ElevenLabs
    • LiteLLM LiteLLM
    • Qdrant Qdrant
    • Presidio Presidio
    • LangChain LangChain
    • LangGraph LangGraph
    • LlamaIndex LlamaIndex
    • Pinecone Pinecone
    • Weaviate Weaviate
    • pgvector pgvector
    • PyTorch PyTorch
    • TensorFlow TensorFlow
    • scikit-learn scikit-learn
    • LangSmith LangSmith
    • AWS SageMaker AWS SageMaker

    AI governance, security,
    and compliance at MindK

    The hard part of compliance for AI/ML development services is governing output
    you can't fully predict, on data you're not allowed to mishandle.

    Human oversight of every model decision

    No model output reaches a user unchecked with our Artificial Intelligence development services. We define evaluation criteria before the build, score output against them, and put guardrails, fallbacks, and a human in the loop where the stakes require it. Engineers, not agents, own architecture, security, and the definition of done.

    Data protection and privacy

    Sensitive data is protected with encryption and role-based access controls that limit who and what can reach it. Our AI software development company builds to HIPAA and GDPR requirements and designs data handling around regulations that apply to your product from the first sprint.

    Responsible handling of your data and models

    When your product calls a third-party model, we default to provider endpoints that don't retain your inputs or train on them. Before any PHI is sent, MindK signs a BAA with model vendors. Where a use case allows, we redact or tokenize regulated fields so they never leave your boundary in the first place. You're free to change models. The access sits behind an abstraction layer in your codebase, so migration is a simple configuration change.

    Secure, auditable cloud infrastructure

    We harden cloud infrastructure on AWS and Azure with infrastructure-as-code, so security controls are version-controlled and repeatable instead of manual. Regular security audits and cloud-native tooling keep the environment compliant as it changes.

    Healthcare compliance and interoperability

    MindK builds HIPAA-compliant systems and works with FHIR and Azure Health Data Services for interoperability, including the Patient Access, Provider Access, Payer-to-Payer, and Prior Authorization API requirements under CMS-0057-F.

    EU AI Act readiness

    If your product reaches EU users, the AI Act applies wherever you're based, and your obligations turn on your role. MindK determines whether you're a "deployer" or "provider" during the discovery phase. We then build the technical documentation, data governance, and human-oversight architecture into the project as it runs.

    Explore our AI product development process

    AI strategy & use-case discovery

    Duration: ~ 2 weeks

    AI/ML development services start with business problem mapping. We pick the use case where AI earns its place, and define the success metrics and evaluation criteria up front. AI captures meetings, structures requirements, and speeds up market research. We also assess whether your data is ready to support the product. You leave with a plan.

    01

    Data & environment setup

    Duration: 1–2 weeks

    Cloud infrastructure, CI/CD pipelines, security hardening, and monitoring, generated with AI where it's safe to and validated by engineers. We assemble and clean the data and stand up the agent stack that the build will run on.

    02

    Iterative delivery

    Duration: 2-week sprints

    Each sprint ends in a live demo. AI accelerates code generation, debugging, test writing, and documentation, while engineers iterate on prompts, models, and the workflow around them. Engineers own every quality gate and architectural decision.

    03

    Evaluation, testing & launch

    Duration: 1–2 weeks

    Our AI development company scores the product against the evaluation criteria set in discovery, runs AI-assisted UAT and self-healing end-to-end tests, and confirms the guardrails hold. A product manager helps you set the release date and prepare your team.

    04

    MLOps & post-launch scaling

    Duration: ongoing

    AI-assisted monitoring watches for model drift and flags issues before users report them. We retrain and refine on a schedule, so the product keeps improving without a heavy ongoing development bill.

    05

    Why MindK

    180+ products launched since 2009

    Seventeen years of shipping web, mobile, SaaS, and PWA products for startups through enterprises.

    01

    We build our own AI products

    GoodBilling is ours, in production, processing real claims. The advice you get comes from running an AI product day to day, not from a slide deck about one.

    02

    AWS Partnership

    We engineer for scale, cost, and security on AWS and Azure. The partnership gives our clients access to AWS resources and support that an unaffiliated shop can't offer.

    03

    Speed without losing control

    Every agent on a project is paired with a senior engineer who owns architecture, security, and quality.

    04

    What
    our
    clients
    say

    • Emilie Lindqvist

      CEO, Juvo,
      Norway

      Admirable degree
      of involvement

      «MindK consistently shows a degree of involvement in the project that is admirable. We all feel like one team.»

    • Allison Erickson

      Allison Erickson

      Director of Product, The Lactation Network
      USA

      Allison Erickson

      Such quality work in such efficient timing

      «I have nothing but great things to say about our partnership with MindK and the solid work they have done and continue to do for the growth of our company. Our rapport is strong which is a reflection of their professionalism, hard work, and great outputs.»

    • Al Hariri

      Al Hariri

      Co-Founder, Vitagene
      USA

      Al Hariri

      Results-oriented and
      outcome-driven

      «I can tell you confidently that they are different from your regular agency that just wants to charge as much money for their work as they can get away with. MindK is completely results-oriented and outcome-driven.»

    • Jordan Crone

      Jordan Crone

      Chief Experience Officer, Melody
      USA

      Jordan Crone

      Smooth
      communication flow

      «Our project has been going smoother than I could have imagined... It's the first time I've worked with a dev team a distance away that didn't have major (or any, for that matter) hiccups or have things lost in communication. I wish we could snatch them and make them a part of our team.»

    • Jens Christian Bang

      Jens Christian Bang

      CEO, Already On
      Norway

      Jens Christian Bang

      MindK always finds a solution

      «We've been successfully cooperating with MindK since 2010. What we were impressed with about people at MindK during all years of partnership — they never give up. We're not worried, as we know that MindK always finds a solution.»

    • Ida Groth

      Ida Groth

      Senior Product Manager, Building Materials Company
      Norway

      Ida Groth

      Responsibility
      and proactiveness

      «It’s so comforting to know that they see the whole picture and take full responsibility. It’s made all of the difference. I was most impressed with their proactiveness.»

    • Mark Lange

      Mark Lange

      CMO, Reputation.com
      USA

      Mark Lange

      A client-first approach
      shop

      «It's been refreshing to work with a team that puts us as a client first no matter the circumstances and goes out of their way to ensure that our needs are not only met but exceeded. I have no reservations in recommending MindK to any business looking for a top-tier team.»

    • Per Otto Larsen

      Per Otto Larsen

      Head of CSR Services, CEMAsys.com
      Norway

      Per Otto Larsen

      High level of detail
      and thoughtfulness

      «The level of detail and thoughtfulness of what they deliver is so good, that a simple explanation of the next idea serves as the basis for them to take it and turn into reality. MindK’s support allows us to focus on core business, product growth and our customers’ needs.»

    • Philip Yancey

      Philip Yancey

      Partner at Converze Media,
      USA

      Philip Yancey

      A reliable partner

      «I appreciate how MindK was able to build such a platform from conference calls, emails and basically a wish list of what our company wanted and needed automated to make Converze a more efficient and effective player in our space.»

    • Zaheer Mohiuddin

      Zaheer Mohiuddin

      Co-Founder, Levels.fyi
      USA

      Zaheer Mohiuddin

      This isn't your typical outsourcing shop

      «The quality of work and the interactions with the team felt akin to anyone that I've worked within the Bay Area in technology. MindK's expertise is for real and the bar is high. This isn't your typical outsourcing shop, MindK has top-notch engineers and PMs.»

      AI product development services in your industry

      AI product development insights

      market validation

      Market validation or how to validate the project idea before going ‘All in’

      Read more
      Lean software development

      How to Implement Lean Software Development: 5 Best Practices

      Read more
      The author of article on AI software development Ruslan Moroz working in his office

      AI Software Development: Lessons from a Commercial Project

      Read more

        Create an AI product
        with MindK

        Use our software product development services to release a solution that is worth building.

        FAQ

        • Do you build AI products, or just use AI to write code faster?

          Both, and they’re separate things. As a custom AI development company, we build AI and ML products for clients, and we use AI across our own process to deliver any product faster. Most engagements involve both.

        • What does "AI-accelerated development" actually mean in practice?

          AI drafts requirements, generates and reviews code, writes tests, and produces release notes at every stage from discovery to support. A senior engineer validates each output, the way any AI ML development company worth hiring should.

        • Who owns the code and the models?

          You do. The code, the data, and the architecture are yours, not a license you rent from us. That’s the standard we hold ourselves to as an AI software development company. Because model access sits behind an abstraction layer, you can also move between model providers without a rebuild.

        • Can you handle HIPAA and other regulated data?

          Yes. Our AI software development solutions run on HIPAA-compliant, cloud-native infrastructure behind healthcare products in production, with encryption, access controls, and infrastructure-as-code. We default to model endpoints that don’t train on your data and sign BAAs with model vendors before any PHI is sent. Compliance is built into the foundation rather than retrofitted.

        • What pricing models do you use?

          We primarily use two engagement models: Time & Material and Fixed Price.

          • Fixed Price works best when the project scope is clear from the start and unlikely to change. You get a defined cost for a well-defined outcome.
          • Time & Material is a bit more flexible. You pay based on the actual hours worked, which means you can iterate and adapt to changing requirements.
        • What happens if my needs change during the project?

          Change is normal, and we expect it! We use an Agile approach, which means we build in iterations and constantly seek user feedback. 

          If something needs to change, we’ll discuss how it impacts the timeline and budget, and make the adjustments together. It’s all about collaboration to ensure we build the product that truly meets your needs.

        • What kind of post-launch support does MindK provide?

          Post-launch, we offer a few different support options:

          • Feature updates, maintenance, performance optimizations, and bug fixes to keep your product running smoothly.
          • Training & onboarding for your team.
          • Ongoing support packages – from addressing critical issues to proactive monitoring and improvements.

          Let's work together

          Send us a request with a brief description of your challenges
          and we'll contact you within 24 hours to schedule a free, no-obligations strategy session.

          Drop to attach file

          Thank you,
          your message has been sent successfully!

          We’ll contact you within the next 24 hours. In the interim, you can take a look at our portfolio or check us out on Facebook, LinkedIn, Twitter or Instagram.

          Ok