AI solutions
What we do
Services
Experts in
How we work
AI-Assisted Software Development
Move 2xβ8x faster than with standard teams. AI-assisted delivery under full senior-engineer supervision and accountability for every delivered feature
Top Software Development Company, 2025
Top IT Services Company, 2025
Listed Among Top 1000 Companies Globally
Top Ukrainian Hosting and Cloud Service Company, 2025
AI-assisted delivery. Better speed; same quality
30% faster time-to-market
We automate boilerplate work: the team delivers 30% faster, so you can hit the market when your competitors are still in the dev phase.
2xβ8x of routine automation
Routine tasks are done with AI, so your budget and engineersβ experience and time go into what matters: product logic and architecture.
<10% project variance
We use AI to identify additional edge cases, leading to more accurate estimates and budget and schedule variance consistently under 10%.
Up to 9x faster test coverage
Your product gets a 100% test coverage without extending sprints. AI helps to generate tests, while our QA team ensures execution quality.
2x faster PoC & MVP delivery
You get a ready PoC and MVP in half the time it usually takes. AI lets us tackle tech unknowns faster, so you can move to validation sooner.
Up to 10x faster legacy modernization
AI speeds up code analysis, refactoring, and migration work, while engineers guide all critical decisions and validate results.
Human-led AI: Results are always under control
πIsolated execution by AI, full control by engineers
We keep AI-assisted software development scoped to isolated tasks, so each change is controlled and easy to verify. Our engineers define the architecture and guide implementation, so every part fits into a consistent, well-thought-out system.
π‘οΈMulti-layered validation to avoid βsilent failuresβ
Your product wonβt face failures common in unmanaged AI dev. We protect it with a strict 5-stage filter: every line of code goes through real-time review, auto-linting, independent cross-agent review in a clean context, manual review by senior engineers, and final functional validation.
π£The "baby steps" protocol for critical modules
We avoid single-pass generation for complex or sensitive modules. Engineers break the work into stages, define the approach, then build and review step by step to keep logic clear and controlled.
πStrict context management and code standards
Spaghetti code is the biggest risk of AI-assisted software development. We use project-level rules and structured instruction docs to ground the AI in your architecture and enforce project-specific engineering standards for every task. Changes align with the rest of the codebase, and nothing drifts into mismatched structures over time.
Cases: AI-driven development in action
Complex logic
API research
Legacy modernization
MVP launch
Routine QA
Design-to-code
65% Faster delivery of a complex logic module
Challenge:
Build a service that works through 18 interconnected methods to process SEVIS actions, where every step requires aligning rules, resolving conflicts, and handling complex dependencies.
Outcome:
The task was estimated at 70 hours if done without AI. We managed to deliver it in 25 hours. AI helped structure the logic and conflict matrix, reducing QA effort and lowering regression risk.
4Ρ
Research acceleration for Oracle NetSuite sync
Challenge:
Integrating with Oracle NetSuite required working through 100+ pages of documentation just to understand all the requirements for data sync between systems.Β
Outcome:
3-5 days of research were reduced to ~1 day. AI accelerated analysis, so we could move to implementation without delay. Without AI, just researching the NetSuite specs would've taken more time than the entire dev itself.
50% Speed boost in legacy modernization
Challenge:
Modernizing route-processing logic in a large-scale app, including replacing outdated methods and adapting core behavior for new input handling.
Outcome:
Refactoring time dropped from 2 days to one day. An AI-assisted software development workflow let us redesign key methods faster and suggested edge-case test coverage, resulting in fully tested code with no regression during migration.
2x Faster MVP launch
Challenge:
Building a PoC and MVP for a backup module and fitting it into an existing application architecture within a very tight timeframe.Β
Outcome:
We delivered a working MVP for the module in 2 weeks, integrated into the current app architecture. AI helped us structure early decisions, explore multiple implementation approaches faster, and cut development time in half.
4β6 Tickets resolved daily in maintenance flow
Challenge:
A high volume of routine fixes and support tickets in a live product was slowing down the development of new functionality.
Outcome:
Handling of routine tasks with AI increased throughput to 4β6 tickets per day. As a result, the core team was able to stay focused on feature development.
30% Faster Figma-to-code UI sync
Challenge:
Translating complex Figma designs into a consistent, responsive UI across a large product.
Outcome:
We reduced implementation time from 1.5 days to ~ 8 hours. AI-assisted software development enabled fast layout structuring and styling, keeping the UI consistent across all modules.
Testimonials
Co-Founder & Head of Product at Releasd
Founder at Smartskip LLC
COO of Agilea Solutions, CEO at Workerbee
Founder of BackupLABS and BackupVault
Founder & CCO at Muzi
01 | 0501 | 05
Strict rules for data security
Dmytro
Tech Lead
Coding agents we use, like Claude Code and Codex CLI, use a git-based context that automatically excludes .env files and credentials. So, sensitive data and configurations arenβt shared in the first place.
Pavlo
Tech Lead
Weβve seen cases where AI suggested storing passwords in plain text. Thatβs exactly where human review is critical. Every output is checked against security practices before it becomes part of the system.
Mike
Software Architect
We treat access control as a critical layer because AI can occasionally miss role validation on endpoints. We go through the code, verify access logic manually, and make sure nothing gets exposed beyond whatβs intended.
Pavlo
Tech Lead
Sometimes the model works around a problem instead of solving it. We monitor these patterns and make sure that every piece of generated code goes through manual review. If thereβs a gap or inconsistency, we catch it and correct it before it reaches production.
Dmytro
Tech Lead
We can run checks with agents, AI is good at spotting potential issues, especially in older code. In many cases, they catch code gaps, but they also occasionally produce false positives, so everything goes through human validation. The final review and decision always stay with the engineer.
Enterprise-grade AI with controlled input
Development happens in isolated environments without access to production data.
We use enterprise-grade AI tools for our AI-assisted software development services, with strict privacy settings and team-level accounts, ensuring controlled and compliant usage.
Dmytro
Tech Lead
Coding agents we use, like Claude Code and Codex CLI, use a git-based context that automatically excludes .env files and credentials. So, sensitive data and configurations arenβt shared in the first place.
Sensitive data risks are filtered by engineers
We treat every AI output as a draft rather than a final solution and monitor for insecure patterns in data storage.
Engineers review the logic, enforce secure practices, and align it with project standards before anything moves forward. This includes checking how sensitive data is stored, transmitted, and accessed across the system.
Pavlo
Tech Lead
Weβve seen cases where AI suggested storing passwords in plain text. Thatβs exactly where human review is critical. Every output is checked against security practices before it becomes part of the system.
Access control is always verified manually
AI-powered software development always includes human review of every endpoint and service layer. We ensure that rule-based access controls are correctly enforced, access is validated at every level, and no unintended exposure is introduced.
Plus, our team checks edge cases like role escalation, indirect access paths, and consistency across the system.
Mike
Software Architect
We treat access control as a critical layer because AI can occasionally miss role validation on endpoints. We go through the code, verify access logic manually, and make sure nothing gets exposed beyond whatβs intended.
Continuous monitoring for "silent failures"
We monitor for AI "sabotage," where the model might suppress errors or delete failing tests to bypass CI/CD pipelines. When prompts are unclear or too broad, AI can loop through ineffective fixes or repeat the same solution.
Our engineers actively watch for these patterns and step in to break the cycles, identify the root cause, and ensure issues are actually solved.Β
Pavlo
Tech Lead
Sometimes the model works around a problem instead of solving it. We monitor these patterns and make sure that every piece of generated code goes through manual review. If thereβs a gap or inconsistency, we catch it and correct it before it reaches production.
Human validation for every AI vulnerability scanning
We use AI to scan for vulnerabilities, but treat findings as signals for engineers to check rather than as final answers. Our AI-assisted software development services always include a developer review for each case to confirm real risks and avoid false positives before taking any action.
Dmytro
Tech Lead
We can run checks with agents, AI is good at spotting potential issues, especially in older code. In many cases, they catch code gaps, but they also occasionally produce false positives, so everything goes through human validation. The final review and decision always stay with the engineer.
Our technology stack
Frontend
Backend
Mobile
Infrastructure
LLM
Generative AI APIs
AI languages and frameworks
The difference AI-assisted SDLC brings
- Resource optimization. AI handles routine coding, so engineers can focus on system-wide integrity. Your budget goes into a high-value work.
- Optimized DevOps. Infrastructure tasks are automated through IaC, reducing manual DevOps overhead.
- Clarity for all stakeholders. AI generates detailed specs as part of the workflow, so everyone can follow the system without deep tech knowledge.Β
- More meaningful engineering work. Developers spend less time on boilerplate, which improves output quality and specialistsβ retention.Β
30%
velocity boost
2x
prototype delivery
75% faster
estimate & planning
4x better
and faster specs
80% devs
use AI on projects
Awards
Top Software Development Company, 2025
Top IT Services Company, 2025
Listed Among Top 1000 Companies Globally
Top NodeJS Developers, 2025
Top Managed Service Provider in 2025
Top Software Development Company, 2025
Top IT Services Company, 2025
Listed Among Top 1000 Companies Globally
Top NodeJS Developers, 2025
Top Managed Service Provider in 2025
Top Ukrainian Cloud Server Migration Company, 2025
Top Ukrainian Hosting and Cloud Service Company, 2025
Top Ukrainian IT Services Company for Real Estate
Top Software Developers for Advertising and Marketing, 2025
Top IT Services Company for GPS Navigation and GIS, 2025
Top Software Development Company in Ukraine for Startups
Top Software Development Company for Small Businesses
Top React Development Company
Top B2B Company Globally, Fall 2024
Top B2B Company Globally, Spring 2024
Top Software Development Company, 2023
Top IT Services Company, 2023
Most Reviewed Software Developers on Clutch
Top NodeJS Development Company, 2023
Top Software Development Company for Marketing and Advertising, 2023
Top Ukrainian IT Services Company for Advertising and Marketing
Top Ukrainian Development Company, 2021
Top Ukrainian Development Company, 2020
Top Ukrainian B2B Company, 2019
Top Ukrainian Development Company, 2018
01 | 25
Key people
Andrii
Founder & CEO
Clockwiser from Day 1 | Led Clockwise to Top Ukrainian IT Company
π€ Karaoke champion
π§ Quiz monster
π Cat team
Bogdan
Head of Delivery
10 y. of experience | Set up delivery with 99.88% acceptance rate
π Snowboarder
πΏ DJ
π₯ Drummer
β Coffeeholic
Serhii
Head of Client Relations
11 y. of experience | 98% client satisfaction rate
π Traveller
Gym rat
β Coffeeholic
Natalia
Head of People
10 y. of experience | 100+ hired talents
Hyggeist
Wanderlust Soul
πββοΈ Swimmer
π―οΈ Detail Aesthete
Mike
Solution Architect
15 y. of experience | 50+ projects with 99,99% uptime reliability
π§βπΌFather of 3
Pavlo
Tech Lead
15 y. of experience | Managed 40+ developers as Tech Lead
π¨ Motorhead
π§° Tinkerer
Andrii
Founder & CEO
Clockwiser from Day 1 | Led Clockwise to Top Ukrainian IT Company
π€ Karaoke champion
π§ Quiz monster
π Cat team
Bogdan
Head of Delivery
10 y. of experience | Set up delivery with 99.88% acceptance rate
π Snowboarder
πΏ DJ
π₯ Drummer
β Coffeeholic
Serhii
Head of Client Relations
11 y. of experience | 98% client satisfaction rate
π Traveller
Gym rat
β Coffeeholic
Natalia
Head of People
10 y. of experience | 100+ hired talents
Hyggeist
Wanderlust Soul
πββοΈ Swimmer
π―οΈ Detail Aesthete
Mike
Solution Architect
15 y. of experience | 50+ projects with 99,99% uptime reliability
π§βπΌFather of 3
Pavlo
Tech Lead
15 y. of experience | Managed 40+ developers as Tech Lead
π¨ Motorhead
π§° Tinkerer
Dmytro
Tech Lead
15 y. of experience | 10+ AWS projects led
ποΈ F1 Fan
π» Beer connoisseur
β Coffee aficionado
Yana
Design Lead
12 y. of experience | 100% UI/UX acceptance rate after user tests
π©βπ¨ Local artist
π Bibliophile
π§ββοΈ Yoga practitioner
π¦»Hearing Accessibility Advocate
Bogdan
QA Lead
17 y. of experience | QA Lead on 10+ multi-domain projects
π Nerd
β·οΈ Ski fan
Strong Spirits expert
Andrii
Project Manager
8 y. of experience | 30+ projects delivered
ποΈ Junior Car Drifter
𧳠Traveller
β Coffee enthusiast
Tetiana
Business Analyst
5 y. of experience | Saves $30K on avg./client with discovery
π§ Braving the unknown
π¬ Empathy-driven communicator
ποΈ Passionate traveler
Yelyzaveta
Tech Lead
9 y. of experience | 10+ React projects led, 1.5+ years each
ποΈ Explorer at heart
πͺ΄ Bonsai & bloom keeper
βΈοΈ Figure skater
ποΈ Avid reader
Dmytro
Head of Marketing
10+ y. of experience | Generates $10M+ in annual sales pipeline
π§ββοΈ Mindfulness
π’ Downshifting
π§ DJ
π§ Psychology
π
Sunsets
01 | 05
Launch 30% faster without trade-off on cost & quality
We offer a senior dev team augmented by AI for speed. Delivery stays fast but controlled, with full accountability on our specialists.
Serhii
Head of Client Relations
Kateryna
Senior Account Executive
2014
Building products since
5
Clutch rating
98%
NPS score
5.5%
Annual employee churn rate
100%
Pleasure when working with us
6+ years
Retention of top specialists
Benefits
Control practices
Cases
Testimonials
Data security
Our technology stack
The difference we bring
Key people
