"Artkai has always been extremely flexible to work with the needs of the project."
Ship Features 3x Faster
AI-driven software development services
We enter as a sub-team alongside your engineers and product stakeholders and do two things in parallel: build a customized agentic delivery flow and deliver product work through that flow. Build, upgrade, validate, and launch high-quality software faster with AI-driven development lifecycle and our proven senior expertise.
Directions
Our AI-Driven Software Development Services
Modernization
We help businesses build an agentic workflow to enable automated analysis, AI-driven product development and testing, validating alignment with requirements and uncovering how it really works. Based on this, we design architecture and create a migration plan to proceed with further modernization with confidence.
Greenfield development
We embed agents across the entire SDLC for AI driven product development. AI agents assist your team in validating requirements quality and monitoring consistency at each development stage (requirements and architecture creation, coding, testing, and rollout), while decreasing time spent on reviews and team syncs.
Our process
How it works
Workflow selection/ 1
Analyzing part of your SDLC, workflows, and bottlenecks to identify where AI agents can create the most impact and boost processes
Workflow Design/ 2
Implementation/ 3
Workflow in action/ 4
Feedback loop/ 5
Team comparison
Our engagement model vs traditional team
AEOS agents work async. They do their work while the human team sleeps. One person can orchestrate a range of tasks or production steams executed by agents. The throughput of a human engineer rises without team growth. That ensures up to 6-7x higher velocity while safety is always in control through human-in-the-loop governance and audit trail.
Traditional team
Engineers
10-15 humans
Shift
8 hours / day
Cost per sprint
$75K - 150K+
Cost & time per feature
Baseline
Artkai agentic engineering OS
Engineers + Agents
4-5 humans + 10-30 agents
Shift
8+24 hours / day
Cost per sprint
Starting from $28K
Cost & time per feature
Up to 77% lower
Tech stack
Technologies we use
Anthropic
LangGraph
LangFuse
NanoBanana
Dall-E
L
Lucy
LangChain
LangSmith
Qdrant
OpenAI
Ollama
n8n
Our benefits
Benefits of AI-driven development
Using our AI-driven software engineering services you're not scaling your team - you're scaling execution. You build, test, and ship faster and achieve:
40%
faster
delivery cycles
90%
reduction
in operational overhead
3x
more work executed
in parallel across the SDLC
Parallel execution, no isolated automation
Instead of agents working in silos, we ensure that your tasks move forward simultaneously across the SDLC, eliminating queues, handoff delays, and stalled workflows.
Full workflow coverage
Agents are embedded across the entire delivery process, from requirements to production, working within your systems to ensure continuous, coordinated execution.
Faster path to production
Structured workflows and defined guardrails reduce friction and rework, turning AI efforts into a predictable, scalable delivery system that brings you outcomes that matter.
Real AI delivery
Why choose our AI-driven development services
From pilots to real delivery
With us, you won't get stuck in experimentation, running pilots that don't deliver impact. Our approach focuses on embedding agentic workflows into real delivery to ship features.
Built around your workflows, not generic tools
Our goal is not to force frameworks but to design agentic systems tailored to your specific infrastructure, tech stack, internal processes, and constraints.
Clear ownership and execution model
We clearly define who owns what across the SDLC, and this helps to get rid of confusion and ensure agents and teams work as a single coordinated delivery system.
Realistic use of AI tools in development
AI is applied where it creates value — accelerates execution, reduces manual work, and doesn't disrupt workflow. The focus stays on delivery outcomes, not on experimenting without clear ROI.
The proof
Cases of running AE_OS™
Healthcare
350 peopleOur customer faced a quality challenge across their ecosystem. Their products were built in different ways and had to be assessed against more than 30 criteria, while traditional grooming and documentation were slow and resource-intensive.
We introduced an agentic-first mechanism to document legacy systems by reviewing applications, asking targeted questions, and reverse-engineering product logic. The agents gather and validate requirements, giving teams a clearer view of the architecture.
We also extended this into QA, using agents to turn validated requirements into structured test cases. The result was significantly less manual effort, faster understanding of complex systems, and a more scalable approach to product quality.
Education
700 peopleOne of our most ambitious projects, designed to cover the full delivery cycle from idea to testing. Using an agentic-first approach, agents help shape and validate ideas, confirm use cases, and prepare requirements before the team gets involved.
The idea is then turned into a detailed PRD, reviewed by a network of agents to improve quality upfront and reduce the need for early refinement. Once aligned, the workflow supports decomposition and can generate Jira tickets automatically.
We extend the same approach into delivery and QA, where agents support code generation, test-case creation, and test automation. The result is a more scalable end-to-end process that reduces manual effort and improves consistency from discovery to delivery.
Our clients say
Feedback is the breakfast of champions
Being a part of 150+ challenging projects is inspiring for us. Check out what our customers say about us.
Ketevan Kakheli & Ekaterine Begiashvili
Head of Electronic Banking Service Unit
"Together with their team of experts, we were able to find an improved solution"
Wim Geeroms
Product Owner, Automotive Marketplace
“Artkai’s team delivered excellent quality and professionalism. I would recommend them to entrepreneurs and established businesses alike!”
Jens Martinsen
CEO at TestHub
“We had a discovery phase with Artkai. I highly recommend them for this learning step to everyone who wants to gain more in the long run!”
Judah Musick
CEO, Tagible / Chief Innovation Officer at Red Rocks
“I’ve worked with many design and development companies, and I can honestly recommend Artkai above all of them.”
Josh Bicknell
Co-Founder & CEO at Balloon Ventures
“The value for money is incredible. Artkai did a great job, and I’d recommend anyone who needs design or development work to look at them.”
Emilio Lando
Chief Product Officer at Adverty
“Working with Artkai has been a pleasure. The team is professional, easy to collaborate with, and delivers great results.”
"They delivered what we asked for and what they promised on time and with attention to detail."
"The Artkai team has good professional chemistry and great experience with digital products."
"I loved the team's responsiveness to our needs and willingness to help."
''Their visionary leadership gave us confidence in the results for our clients.''
"Their team spirit made them a sought-after partner for tackling the most challenging design and development tasks."
What to know
Questions that make sense
At which stages of development do you use AI and how is it combined with human expertise?
AI agents are embedded across the full SDLC - from requirements analysis and task automation to coding, testing, and deployment. They handle execution and repetitive tasks, consistently making progress across all workflows. At the same time, human engineers stay in control of architecture, key decisions, and final delivery. They are accountable for all processes.
How does AI-driven development impact time-to-market and costs?
AI-driven development helps to speed up delivery since the execution is enabled in parallel execution and agents reduce manual effort and mistakes. Development teams can move faster from requirements to product creation. On top of that, you can reduce development cost since with AI agents you do not need to hire extra team members.
Is AI-driven development suitable for products with existing codebase?
Yes. Agentic engineering is designed to work with solutions having existing codebases, including legacy and complex ones. AI agents can analyze code, support refactoring, generate all required tests, and speed up new features development.
Can you help us transition from traditional development to AI-driven workflows?
Yes. Our AI-driven software development company can guide your team through a structured, low-risk transition to agentic engineering. It all usually starts with mapping your current SDLC, then introducing AI-driven workflows without disrupting ongoing processes.
What does the engagement process with Artkai look like?
You can fill out our contact form or send us an email. Once our company receives it, we schedule a 30-minute assessment call to talk about your current SDLC and identify where an agentic layer could create measurable value.
Contact us
Whether you have a technical question or ready to start cooperation Artkai team remain committed to assist with your selection needs
