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AI Development Services

Peiko provides end-to-end AI development services - from choosing the right use case to building, integrating and supporting AI features in production, for new products and existing software.

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What are AI development services?

AI development services cover the design, training, configuration, integration and deployment of AI-powered features — from generative AI and natural language processing to computer vision and intelligent automation. Depending on the task, we train custom machine learning models or configure and fine-tune existing ones, including large language models (LLMs). By combining AI with solid software engineering, Peiko helps businesses turn their data into working products: smarter workflows, automated decisions and AI features that ship to production.

BUILD CUSTOM AI PRODUCTS

Launch AI-powered products built around your data and use case. We develop custom machine learning models, generative AI features, computer vision systems, and intelligent automation tools designed for production, not just demos.

INTEGRATE AI INTO EXISTING SOFTWARE

Add AI capabilities to your current product without rebuilding it. Our team implements AI copilots, recommendation engines, NLP-powered search, and automation features while maintaining compatibility with your existing infrastructure.

AI development solutions we provide

01

Natural language processing (NLP)

Turn text and conversations into working business tools. Chatbots answer customer questions around the clock, intelligent document processing extracts data from contracts and invoices without manual entry, sentiment analysis shows how customers feel about your product, and smart search helps users and employees find the right information in seconds.

02

Computer vision & OCR

Let software see and read for your team. Computer vision detects product defects on the production line, tracks objects in real-time video, and flags issues before they reach customers, while OCR scans documents, invoices and IDs and turns them into structured data your systems can use.

03

AI-powered process automation

Hand routine work over to software. AI combined with robotic process automation (RPA) handles data entry, request routing, report preparation and document approvals, so your team spends less time on repetitive tasks and makes fewer manual errors. Learn more about AI for business automation.

04

Machine learning & deep learning models

Put your historical data to work. Machine learning models forecast demand and sales, classify documents and transactions, personalize offers for each user, and detect anomalies such as fraud or equipment failures early. Deep learning takes on more complex inputs like images, audio and large volumes of unstructured data.

05

Generative AI applications

Build products on top of large language models. Typical applications include AI assistants that answer questions inside your product, content generation for marketing and support, and knowledge search that finds answers across company documents and databases. Explore our generative AI solutions.

06

Recommendation engines

Meet the needs of your customers. Our AI-driven recommendation systems take user actions and preferences into account to provide platform-agnostic product, content, and service suggestions.

07

AI for blockchain & DeFi

To create blockchain ecosystems that are smarter and safer, we provide AI solutions for detecting fraud, predicting crypto markets, and optimizing smart contracts.

08

Decision intelligence platforms

To help businesses make informed strategic decisions based on complicated datasets, we develop platforms that combine data visualization with forecasting models and scenario simulations.

09

Customer experience AI

Improve support and engagement without growing the team. AI agents resolve common requests on their own, sentiment-aware routing sends frustrated customers to a human agent faster, and personalized responses and offers are based on each customer’s history. Learn more about our custom AI agents.

How we deliver AI development services

01

Use case & data assessment

We review your product, users and workflows to find where AI brings real value, and check whether your existing data is enough to support it. You end this stage with a validated use case and a clear view of your data readiness.

02

Architecture & model selection

We define data sources, APIs, security constraints and the right model type — classic ML, deep learning or LLM-based. The choice depends on your task, data and budget, so you get an architecture that fits the problem instead of the most complex option available.

03

Development & integration

We train or configure the models and build AI features into your product and infrastructure step by step. Each feature is tested early on your real data, so you see working results during development, not only at the end of the project.

04

Testing & safety controls

Before launch, we check model accuracy and edge cases, and set up guardrails, monitoring and usage limits. As a result, your AI features behave predictably with real users, handle unexpected inputs safely and keep running costs within the agreed budget.

05

Launch, monitoring & improvement

After launch, we track how people actually use your AI features and how good the outputs are. Based on this data, we improve models, training data and prompts, so the product keeps getting more useful instead of staying frozen at release.

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AI development services across industries

HealthTech

Too much time spent on paperwork instead of patients? AI processes medical documents and intake forms, supports diagnostics with medical image analysis, predicts appointment no-shows and powers symptom-checker assistants. Clinics and HealthTech products reduce administrative load and give staff more time for care, while sensitive patient data stays protected.

EdTech

Hard to give every learner individual attention? AI builds personalized learning paths based on each student’s progress, powers tutoring assistants that answer questions around the clock, automates grading and flags learners at risk of dropping out. EdTech platforms scale their courses without losing quality or overloading teachers.

Supply Chain & Logistics

Losing money on delays and excess stock? AI forecasts demand to keep inventory at the right level, optimizes delivery routes, predicts shipment delays and reads shipping documents with OCR. Logistics teams plan with more confidence, cut manual paperwork and react to disruptions before they hit customers.

FinTech

Fraud and slow onboarding costing you customers? AI detects suspicious transactions in real time, automates KYC checks and document verification, supports credit scoring and powers assistants that handle routine client requests. FinTech products onboard users faster, reduce fraud losses and keep compliance work manageable as they grow.

Retail & E-commerce

Visitors browse but don’t buy? AI recommends products based on each shopper’s behavior, powers smart search that understands what customers mean, adjusts pricing to demand and answers order questions through chat assistants. Online stores raise conversion and average order value while support handles more requests with the same team.

TravelTech

Travelers expect instant answers and tailored offers? AI assistants help plan trips and handle booking changes around the clock, recommendation engines suggest destinations and stays based on preferences, and demand forecasting supports smarter pricing. Travel platforms convert more searches into bookings and reduce the load on support teams.

Our achievements

Since 2017, our software creation team has consistently delivered industry-focused development services that get results.

Top Web Development Company
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Why choose Peiko as your AI development company

01

Fast path to production

Instead of spending months perfecting a model, we release working AI functionality early and improve it based on real user feedback. You see results in your product sooner, validate the idea with actual users and invest further only where AI proves its value.

02

Product-first approach

We make AI decisions from the user and business perspective, not only by model metrics. Every feature is tied to a real task in your product, so you avoid investing in AI that looks impressive in a demo but changes little for your users.

03

Clear communication

We explain AI trade-offs in plain terms: which model fits your task, what data it needs, how much it will cost to run and what accuracy to expect. Founders and product managers make informed decisions without having to become AI experts.

04

Budget focused on results

We spend your budget on the AI work that supports validation and growth, not on throwaway experiments. Each stage has a clear goal and outcome, which makes it easier to plan costs and justify the AI investment to your stakeholders.

05

Architecture that scales

We design AI solutions with growth in mind: more users, more data and new features. The architecture handles higher load and new models without starting over, so your product stays stable as usage grows and you avoid costly rewrites later.

How Much Does AI Development Cost?

01

AI Consulting / Feasibility Study

$500–$2,000 Data audit, use-case identification, and a feasibility study to determine if AI is the right investment for your business.

02

Chatbot / Conversational AI

$4,000–$15,000 From a basic FAQ chatbot to a context-aware AI assistant with CRM integration and memory.

03

Computer Vision / OCR System

$10,000–$150,000 Custom vision models for defect detection, facial recognition, or document processing.

04

Generative AI Integration

$10,000–$100,000 Custom user experiences, content generation, and AI-powered product features.

05

Predictive Analytics / ML Model

$15,000–$50,000 Demand forecasting, churn prediction, fraud detection, and custom ML models trained on your data.

06

Enterprise AI Platform

$150,000–$500,000+ Full-scale, production-grade AI systems with custom model training and enterprise integrations.

Technologies we use

Cloud, On-premise & Backup
AWS
AWS
Microsoft
Microsoft
Intel
Intel
SEP
SEP
Red Hat
Red Hat
Google Cloud
Google Cloud
Data, Analytics, AI & Security
Datadog
Datadog
Couchbase
Couchbase
Snowflake
Snowflake
ORKA
ORKA
Databricks
Databricks
Confluent
Confluent
CrowdStrike
CrowdStrike
Vertical Partnerships & Associations
Stripe
Stripe
Mambu
Mambu
TomTom
TomTom
Blue Yonder
Blue Yonder
AUTOSAR
AUTOSAR
COVESA
COVESA
HERE
HERE
Enterprise Applications
Microsoft
Microsoft
Papirfly
Papirfly
Bloomreach
Bloomreach
Adobe
Adobe
Atlassian
Atlassian
Mendix
Mendix
PandaDoc
PandaDoc
Contentful
Contentful
Industry & Market Analysts
Gartner
Gartner
Everest Group
Everest Group
Zinnov
Zinnov
Frost & Sullivan
Frost & Sullivan
ISG
ISG

Case studies

alphaAI Capital

A next-generation AI-powered trading platform that lets retail investors build, simulate, and run fully-automated ETF strategies.

We had to create a secure, real-time trading product from scratch, translate a complex vision into a clear roadmap, and keep development agile enough to absorb regular startup pivots.

PostgreSQL
React JS
Node JS
Docker
Rest Api
Elastic
Posthog
alphaAI Capital

Our AI development expertise

01
Machine learning mastery
Our engineers start with your data: cleaning it, filling gaps and preparing features for training. We choose between supervised and unsupervised approaches based on the task and the labels available, train and evaluate models on your own data, and retrain them after launch to keep accuracy from drifting over time.
02
Advanced deep learning
Deep neural networks need more data and computing power, so we use them only where simpler models fall short, such as image classification or voice recognition. When they are the right choice, we often start from pretrained models, fine-tune them on your data and optimize them to run efficiently in production.
03
Natural Language Intelligence
We work with large language models (LLMs) and NLP models: choosing the model that fits your task and budget, preparing and cleaning text data, and connecting the model to your company knowledge so answers rely on your own documents. Before launch, we evaluate answer quality on real questions from your users.
04
Smart Process Automation
We combine AI with rule-based automation and RPA: rules handle predictable steps, while AI takes on tasks that need judgment, such as reading documents or classifying requests. We integrate the automation with your CRM, ERP and internal tools and add error handling, so automated steps run reliably day to day.
05
Vision systems & OCR
We prepare and label image data, then choose detection, recognition or OCR models that fit the task. Models are tested on real-world conditions, including poor lighting, low-quality scans and handwritten fields, so they work reliably on the images and documents your business actually processes, not only on clean samples.
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Business value of custom AI development

Smarter data utilization
AI processes large volumes of data much faster than manual analysis and highlights patterns that are easy to miss in spreadsheets. Data scattered across different systems is brought together, so your team gets clear reports and recommendations to act on instead of searching for information.
01
Automated, adaptive workflows
AI takes over repetitive tasks like data entry, sorting requests and preparing reports. Workflows handle new types of input without constant manual rule updates, and models are improved as new data comes in. Your team makes fewer errors and spends more time on core work.
02
Intelligent resource allocation
AI forecasts demand and tracks how resources are used, so you plan inventory, staff schedules and budgets based on data rather than guesswork. Teams see shortages and overspending earlier, reduce waste and adjust plans before small issues turn into costly problems.
03
Cross-department cooperation
Custom AI connects data that usually stays inside separate departments. Marketing plans campaigns using sales forecasts, product teams prioritize features based on customer feedback analysis, and support shares recurring issues with development, so teams work from the same information.
04
Real-time forecasting
Instead of reviewing last month’s reports, you see forecasts updated as new data arrives. Alerts flag unusual changes in sales, demand or system load, and scenario models show the likely effect of a decision before you make it, so you can react sooner.
05
Competitive differentiation
Off-the-shelf AI tools are available to everyone, including your competitors. Custom AI is built on your own data and processes, such as domain-specific models or recommendation engines tuned to your customers, which makes it much harder for others to copy.
06

What Our Clients Say

We don’t just build software, we build success stories

5.0

Peiko delivered a smart contract that was highly evaluated by one of the most demanding auditors on the market. They contributed strategically, offering insights that extended far beyond technical development.

Andreas Urlin
Andreas Urlin
Co-Founder & CEO at Vitaltale
5.0

Amazing agency, perfect communication and execution (agile development with very high quality of work), they think out of the box and really help you shape the product. They also have great design skills in the team and are always available- I highly recommend them and will definitely hire again for a next big project!

Lukas Peter
Lukas Peter
CEO at LocalAway
5.0

We are pleased that we selected Dima and Peiko as our software development Advisor and partner. Dima and Peiko team beyond the great technical skills, their collaborative approach and project management make them a reliable tech partner.

Carlos Robles
Carlos Robles
CEO at luma
AlphaAI review
5.0

I selected Peiko team based on their profile and the submitted quality proposal. I also met them personally, and I reached the initial concusion that I am working with a professional team. The end product was delivered with superb quality and structure. the documentaiton part was also great.

Mohammed Alshammari
Mohammed Alshammari
CEO at Eltizam
5.0

If you’re looking to partner with a team that truly understands your vision and has the technical prowess to bring it to life, Peiko is the partner you can rely on.

Bazif Khan
Bazif Khan
The Owner at Poof Technologies
5.0

I consider Peiko a qualified technical partner for many reasons, such as delivering milestones on time, providing fast software improvements, and resolving bug issues quickly. They’re very experienced in blockchain and financial services and get deeply involved in the development process.

Alexey Koloskov
Alexey Koloskov
CTO at Orion Protocol
5.0

What impresses me most about Peiko is their innovative approach! Thanks to Peiko’s efforts, the client has noticed an increase in user engagement and trading volume. The team establishes a seamless workflow by being highly responsive and dedicated to the project. Moreover, they continue to impress the internal team with their innovative solutions.

jason ford
Jason Ford
President, Scaleit USA
5.0

Their rapid response to our requests was a major factor in the project’s successful completion. Peiko’s efforts have increased user engagement and transactions, meeting expectations. Peiko’s responsive and communicative approach has resulted in a successful partnership. The team is committed to creating a secure and user-friendly platform that caters to auctioneers and buyers.

Ramy Fanous
CEO, XeoDev
5.0

Peiko has provided deliverables on time and with minimal revisions. The team is responsive to the client’s needs, addresses questions quickly, and consistently delivers items within expectations. Peiko’s communication and problem-solving skills have been remarkable throughout the engagement.

helfie
Tyrone Grupel
Tokenisation Architect at Helfie.ai
5.0

Although the platform has yet to launch, Peiko is able to execute and manage the platform successfully. A collaborative team, they have engaged with the clients to work out the stages and concept in the development of the project. They have communicated well to provide progress updates and feedback.

Oleh Romaniuk
Co-Founder, Teliqon Communications
Vladimir-Ribakov-video-review
5.0

Although the platform has yet to launch, Peiko is able to execute and manage the platform successfully. A collaborative team, they have engaged with the clients to work out the stages and concept in the development of the project. They have communicated well to provide progress updates and feedback.

orion logo
CEO
Quan2um OU
5.0

They’re an open-minded team and I’m glad to be working with them. Peiko works fast and pays great attention to detail. Regular and honest communication benefit the collaborative partnership. Customers can expect to work with a professional and open-minded team.

balneo
Maria Semenuta
Co-Creator, Balneo Travel
5.0

My initial trepidation in hiring an agency in another time zone, and a market I was not familiar with, proved unfounded. Always professional. Incredibly switched on. I get the sense they actually really understand what we are trying to achieve. I don’t have to explain everything – they intuitively seem to understand. The designs the team have come up with are fantastic.

CEO
a Laravel development company
100% Job Success

We’ve earned a 100% Job Success score on Upwork as a result of consistent delivery, long-term client satisfaction, and predictable results.

View work history
5.0

Our work is rated 5.0 on Clutch, reflecting verified client reviews, strong professionalism, and a clear focus on scalable, business-driven digital solutions.

Read reviews

AI Development Services FAQ

No, you don’t need to prepare everything in advance. We check data readiness at the start of the project: what data you have, where it is stored, how complete it is and whether it is enough for the chosen use case. Usually, you only need to provide access to relevant data sources, such as databases, documents or CRM exports, along with a few examples of the tasks AI should handle. If the data needs cleaning or labeling, we include that in the project plan.

Custom AI development services provide scalability and a competitive edge by adapting to your unique requirements, data, and workflows. Although existing solutions can be deployed more quickly, they might not be as flexible or deeply integrated with your business operations.

We build responsible AI practices into the development process from the start. We check training data and model outputs for bias, use explainable models where decisions need to be clear to users or regulators, and follow governance frameworks that define who owns the model, how it is monitored and how issues are handled. Sensitive data is processed only within the access rules agreed with you.

We choose the stack based on your task, data and budget rather than sticking to one vendor. For generative AI, we work with large language models from OpenAI, Anthropic and Google, as well as open-source models such as Llama and Mistral when data must stay on your infrastructure. For machine learning and deep learning, we use Python with PyTorch, TensorFlow and scikit-learn, and for LLM-based features — LangChain, LlamaIndex and vector databases such as Pinecone and pgvector. Models are deployed on AWS, Google Cloud or Microsoft Azure, or on your own servers.

Yes. You can add Peiko’s AI and ML engineers to your in-house team for a specific project or on a long-term basis. They work within your processes and tools, take over tasks such as model development, data pipelines or AI integration, and share knowledge with your team along the way. If you need a full team, learn more about our dedicated development team model.

Timelines vary by complexity, but a functional MVP typically takes 8–12 weeks. More advanced solutions may range from 3 to 6 months. We provide accurate timelines after a detailed discovery and scoping phase.

The cost depends on the scope and the engagement model. In our experience, a paid AI consulting or feasibility study typically costs $500–$2,000, AI development projects range from $4,000 for a basic chatbot to $150,000 for complex computer vision systems, and enterprise AI platforms start at $150,000 and can exceed $500,000. You can also hire Peiko’s AI engineers as a dedicated team with monthly billing. The exact budget is defined after a scoping call.

You do. After the project is completed and paid for, all intellectual property rights to the source code, custom-trained models and documentation are transferred to you. Your data always remains yours: we use it only for your project and never to train models for other clients. We sign an NDA before the project starts if required. Third-party models used through APIs, such as OpenAI or Anthropic, stay under their providers’ licenses, while everything built on top of them belongs to you.

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