AI & ML Development Services

With AI and ML technologies, we help businesses enhance their flexibility and maintain a competitive edge.
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AI/ML development services

Types of AI and ML Development Services

Each solution we develop is guided by your goals and the impact it needs to make.

01 MCP server development
02 AI agent system setup
03 AI prototyping for MVPs and pitch demos
04 Integration of existing AI solutions
05 AI & ML research
06 Prompt engineering for generative AI
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Challenges you face

When customers interact with AI, they expect clear answers about your business. Public models don’t always get the facts right, and unchecked misinformation hurts trust fast. If you can’t control what LLMs say about your pricing, services, or brand, you’re risking both trust and accuracy.

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Solutions we offer

We build Model Control Point servers that serve as verified, private knowledge sources for your AI systems. These servers feed accurate data into models so they respond with facts you can stand behind. It’s like installing a truth layer between your brand and the AI that represents it.

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Challenges you face

Too much of your team’s time goes into tasks that should have been automated long ago. The idea of using AI agents sounds promising, but building a system that’s reliable and task-aware is tough to scope and harder to execute. More so, when there’s no right setup, it becomes more of a headache than a help.

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Solutions we offer

As an artificial intelligence and machine learning development company, we create task-specific agents that operate inside your workflows. They can handle support tickets, internal requests, or tool orchestration while staying easy to monitor and refine. Your team gets more focus, and your systems run smoother.

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Challenges you face

If you’ve got the idea, showing it quickly to investors or testing it with users is a must. A working prototype can unlock early feedback, funding, or buy-in, but waiting on full development kills momentum and drains valuable internal team resources. And without a functional demo, even great ideas get easily overlooked.

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Solutions we offer

Having experience in the industry, we build prototypes that highlight the core of your AI concept. Using rapid prototyping platforms or custom-built solutions, our AI & ML development company creates enough to test, impress, and validate. This way, you get a tangible version of your idea that shows value to investors and users.

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Challenges you face

You’ve found the right AI tool — maybe it’s OpenAI, AWS, or something else — but getting it to work with current systems is a mess. Compatibility issues pile up, and instead of speeding up progress, the integration slows everything down. What should be a smart upgrade starts to feel like a technical burden.

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Solutions we offer

We handle the technical legwork of embedding third-party AI into your existing stack with a focus on security, stability, and long-term fit. Our team takes care of APIs, data alignment, and logic layers to make everything work the way it should. Once it’s in place, your team can actually use it without friction.

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Challenges you face

AI moves fast, and new tools show up every week claiming to solve everything. It’s tough to tell which ones actually fit your product, which are still experimental, and which will waste your team’s time. You might be holding back because there’s too much noise, or because it’s unclear how AI connects to your business.

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Solutions we offer

Our team researches the tech, studies your market, and connects the dots between AI and your goals to help you plan high-impact AI initiatives. That might mean assessing toolkits, modeling options, or defining clear use cases with measurable outcomes. As a result, you leave with a grounded plan, not a list of buzzwords.

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Challenges you face

Your AI model works, but the results feel unpredictable, off-brand, or simply unusable. One moment it’s helpful, the next, it’s vague, repetitive, or completely misses the point. Without well-structured prompts, even strong systems can produce irrelevant content, hallucinate facts, or confuse end users.

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Solutions we offer

We create prompt strategies that match your product’s tone, business logic, and functional goals. Each query is tested across real use cases, iterated for edge cases, and fine-tuned for output quality, safety, and relevance. This brings structure to your generative system and unlocks the reliability you need to scale.

Projects We Can Build For You

We break down your idea and build something that delivers real results.

AI-powered MVPs

AI-powered MVPs

When you have a product idea that relies on AI, you need to test if it works. We build lean MVPs with just enough AI capability to prove value, gather feedback, and move fast. Instead of months of back-end complexity, you get a working version that shows potential and answers hard questions early. This is how you pitch with confidence and build with purpose.

AI agents for task automation

AI agents for task automation

Manual tasks keep piling up, slowing your team and stretching your resources. By offering AI/ML development services, we build task-specific agents that operate inside your product, perform actions autonomously, and help scale operations without scaling headcount. It’s the smart way to reduce manual load and deliver smoother user experiences.

Existing project AI integrations

Existing project AI integrations

It’s good to have a product that works, but considering today’s trends, it could do more with AI behind it. That’s where our Keenethics team can help by identifying the right use cases and plugging AI capabilities directly into your workflows. That might mean smarter recommendations, faster support handling, or deeper insights from your data.

MCP servers for AI control

MCP servers for AI control

You don’t want public AI models guessing how to talk about your services, pricing, or brand. In this light, we develop custom Model Control Point servers that act as trusted knowledge hubs, giving your AI models access to verified, structured business data. It’s how you control what the model knows and how it answers, ensuring consistency at scale.

Testing AI Capabilities

Testing AI Capabilities

Before committing to full development, you need to create and test something real fast. By offering AI and machine learning development services, we help you check AI feasibility with a small-scale working prototype. Our developers build a focused version of your product to show how it could actually work and validate an idea before you go all in.

Let’s turn your idea into software that works
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The Real Impact We’ve Delivered

We’ve built a wide range of digital solutions, helping businesses reach their goals. Your success story could be next.

Offerin
  • Real Estate

Offerin aims to optimize offer management processes for real estate agents in Ohio, US, taking the most minute details of local legislation into consideration.

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GetPart
  • Manufacturing

GetPart is an Estonia-based procurement platform for on-demand manufacturing aimed at making the procurement of various metal components simple, safe, and efficient.

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StoryTerrace Bookmaker
  • Education

Bookmaker is an AI-based book publishing platform that helps its clients create their own books online together with a competent in-house editorial team.

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Oplanto
  • Manufacturing

Oplanto, or Optimus Planto, is a platform that simplifies 3D printing management by offering a marketplace for 3D printing designs and tools for creating new instruments in the biomedical sphere.

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ADS
  • Manufacturing

ADS is a leading Ukrainian manufacturer of aluminum decorum systems, which prides itself on providing a wide range of high-quality products and a flexible customization service that allows creating unique furniture.

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Ruuster
  • Real Estate

Ruuster is a user-friendly tool designed to simplify the home-buying process for clients, helping them secure the home of their dreams.

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uMore
  • Non-Profit

uMore is an AI tool that helps users track their well-being and build positive habits. Its main functions are "Catch, Check, and Change.”

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Brainable
  • Education

Brainable is a website that offers more than 20 brain-training games, allowing its users to combine entertainment with significant cognitive health improvements through regular 15-minute exercise sessions.

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SelfLeaders
  • Education

SelfLeaders is a Swedish coaching company that helps its clients (both corporate and non-corporate) improve their self-leadership skills.

Learn more
Discover Our Case Studies
Portfolio

Our AI/ML Development Process

When developing AI/ML applications, we follow a comprehensive approach:

Discovery&NDA
Step 1: Discovery & NDA
We start with a quick intro call to understand your goals, expectations, and vision. If needed, we’ll sign an NDA to keep things confidential from day one.
ProjectAnalysis&Q&A
Step 2: Project Analysis & Q&A
Our team examines your project scope, asks smart questions, and clarifies core functionality so we can build a proposal that’s clear, sharp, and tailored to your needs.
Personalroadmap
Step 3: Proposal & Roadmap
We map out the full journey — timeline, scope, team, and solution highlights — wrapped in one detailed, easy-to-read proposal document.
ProposalReview&Feedback
Step 4: Proposal Review & Feedback
We walk you through the proposal, answer your questions, and make adjustments as needed to make sure we’re 100% aligned before moving forward.
Agreement&TeamAllocation
Step 5: Agreement & Team Allocation
Once the proposal is approved, we finalize the agreement and handpick the best-fit team with the experience your project demands.
KickoffMeeting
Step 6: Kickoff Meeting
Now, meet your project team, align on next steps, and officially kick things off. From here — it’s go time.
Process

Get a Preliminary Quote

Embarking on a new software project? Our intuitive Cost Estimator is your first step towards turning your vision into reality. Receive a personalized cost range that aligns with your project’s objectives and ensures value for your investment.

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Which Technology Framework Suits Your Project?
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What's Your Current Design Stage?
Inform us about the design assets you already have.
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Estimate your expected user engagement to help us tailor our services.
The expected number of users can be adjusted as your project evolves.
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Will Your Project Include AI Integration?
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Daria Hlavcheva
Head of Partner Engagement
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FAQs

How are artificial intelligence and machine learning different from each other?
Artificial Intelligence refers to a wide range of methods designed to mimic human intelligence. In contrast, Machine Learning concentrates on using algorithms that allow computers to learn and improve from data experience.
Which industries can take advantage of AI/ML development services?
AI and ML unlock real value wherever there’s data, decisions, or automation. We work with teams across industries that want to move faster, work smarter, or deliver better user experiences. Some of the most impactful use cases we’ve seen come from: Healthcare Financial Services Retail and E-commerce Manufacturing and Industrial Operations Marketing and Advertising Telecommunications and Network Services
What’s the typical cost of developing AI/ML software?
The cost of building AI/ML software depends on the size of the development team, the use of offshore resources, chosen tools, integration complexity, ongoing maintenance, and more. Our artificial intelligence and machine learning development services typically range from $1000, reflecting how widely these variables can impact pricing.
How much time does it usually take to build an ML application for a machine learning development company?
The development time for an ML application depends on its complexity. Simple tools like chatbots can take 4–8 weeks, while moderately complex systems may require 2–6 months. Advanced solutions involving deep learning or large-scale data can take up to 6–18 months, affected by project scope, data quality, model complexity, and system integration.
What should I consider when selecting an AI & ML development company?
Look for a team that combines technical expertise with real-world experience. Review their track record, ask about relevant case studies, and pay attention to how they approach communication and collaboration. The right partner will bring clarity to complex projects, adapt to your domain, and stay aligned with your goals from first call to deployment.
Do you offer post-launch maintenance and support for AI and machine learning development services?
Yes, we offer full maintenance and support for all AI and machine learning solutions we develop. Depending on your needs, we can handle system monitoring, performance tuning, regular updates, backups, and issue resolution. Our goal is to keep everything running reliably, so your team can stay focused on growth.
Is it possible to integrate AI/ML solutions with our current systems and processes without disruption?
Of course. We specialize in integrating AI and ML into existing systems with minimal risk and zero chaos. Our team starts by assessing compatibility, mapping data flows, and selecting the right APIs to ensure smooth communication. From there, we adapt the solution to fit your workflows, so your business keeps running while getting smarter.
Artificial Intelligence refers to a wide range of methods designed to mimic human intelligence. In contrast, Machine Learning concentrates on using algorithms that allow computers to learn and improve from data experience.
AI and ML unlock real value wherever there’s data, decisions, or automation. We work with teams across industries that want to move faster, work smarter, or deliver better user experiences. Some of the most impactful use cases we’ve seen come from: Healthcare Financial Services Retail and E-commerce Manufacturing and Industrial Operations Marketing and Advertising Telecommunications and Network Services
The cost of building AI/ML software depends on the size of the development team, the use of offshore resources, chosen tools, integration complexity, ongoing maintenance, and more. Our artificial intelligence and machine learning development services typically range from $1000, reflecting how widely these variables can impact pricing.
The development time for an ML application depends on its complexity. Simple tools like chatbots can take 4–8 weeks, while moderately complex systems may require 2–6 months. Advanced solutions involving deep learning or large-scale data can take up to 6–18 months, affected by project scope, data quality, model complexity, and system integration.
Look for a team that combines technical expertise with real-world experience. Review their track record, ask about relevant case studies, and pay attention to how they approach communication and collaboration. The right partner will bring clarity to complex projects, adapt to your domain, and stay aligned with your goals from first call to deployment.
Yes, we offer full maintenance and support for all AI and machine learning solutions we develop. Depending on your needs, we can handle system monitoring, performance tuning, regular updates, backups, and issue resolution. Our goal is to keep everything running reliably, so your team can stay focused on growth.
Of course. We specialize in integrating AI and ML into existing systems with minimal risk and zero chaos. Our team starts by assessing compatibility, mapping data flows, and selecting the right APIs to ensure smooth communication. From there, we adapt the solution to fit your workflows, so your business keeps running while getting smarter.
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