Your best choice for MVP development, scaling your startup or performing R&D
2-5 Software Engineers
AiQA specialist
A whole pack of custom AI agents
Сo-pilots to handle routine
The future of transformation of classic software development with AI-postitive mindset.
It is a cross-functional team structure, including various AI tools for leaner and faster software development.
Small team, typically of System Architect and Product Manager, both proficient in the exact business domain, backed with AI-agent or Prompt-engineer.
High seniority level coupled with domain expertise allow such units to deliver superior-quality solutions in shortest terms.
Team of 2-5 developers, working with the strong understanding of AI capabilities.
These teams are accompanied with all industry-standard AI Copilot, which are additionally trained on our best practices and experience. They are like special forces unit, able to solve any challenge.
With our AI POD service, you gain immediate access to an elite AI-fueled team and a proven development framework. This means faster results and higher ROI for your initiatives.
Access an elite AI-driven team with full-stack expertise for faster results and higher ROI.
Our AI copilots, trained on 15 years of JetRuby’s delivery history, boost delivery speed 2–3x while maintaining senior-level quality.
Start quickly with prebuilt Docker setups and scale the team as needed, avoiding long-term commitments.
Ongoing support and model updates ensure optimal performance and adapt to real-world changes.
Secure a dedicated, AI-enabled team ready to tackle complex backlogs and accelerate delivery
Define the problem, outline goals, and assemble a lean POD of 2-5 engineers, a QA expert, and AI copilots, with a full delivery plan before the first commit.
Solution architects map the stack, data flows, and AI roles, pretraining tools to reduce ramp-up time and streamline code generation.
Ship a working prototype in 7-14 days, including UI, back-end logic, monitoring, and AI agent pipelines for real-time feedback.
Shift into multi-sprint cycles, extend functionality, automate QA with AiQA agents, and integrate CI/CD workflows
Run security checks, test edge cases with AI-driven QA, and validate business logic with engineers, delivering weekly reports.
Retain or expand the POD, or embed it into your internal team, with an AI stack in place to reduce future dev costs.
Explore scope, timelines, and success metrics for your next release with our technical leads
Explore real-world wins where AI PODs shipped production-ready prototypes, refactored legacy codebases, and automated QA pipelines, unlocking faster releases, lower costs, and stronger ROI
Reduced 20 years of technical debt. Improved stability & audit-readiness for SOC 2 compliance
month to upgrade legacy Ruby
on Rails from 3.2.22.5 to 7.x.
people to handle
the entire project
How we improved test coverage while reduced manual QA effort with AI-based testing framework
growth in unit
test coverage
B2B clients
worldwide
Reduced engineers' manual effort by about 70% and saved up to 25% on infrastructure
manual engineers'
effort reduction
legacy Java
apps updated
To make the best home inventory app with over 300,000 installations worldwide
businesses trust Sortly
to track their inventory
positive reviews
on the AppStore
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