Our engineers develop custom software solutions with AI-augmented engineering workflows. We speed up feature delivery through intelligent implementation under developers’ oversight.
Our consultants audit your current development processes and workflows and suggest a roadmap of how to introduce AI-assisted practices in an efficient way.
Our experts use AI-assisted practices in DevOps and CI/CD workflows to validate builds, automate the process of deployment, detect issues, and suggest optimizations for release consistency.
We modernize outdated code: rearchitect, refactor, and replace the obsolete parts.
AI-enabled engineering reduces total delivery hours for an equivalent scope. The table below shows the comparison between the pure traditional approach and AI-assisted delivery across common project types.
| Project Type | Traditional Estimate | AI-Assisted Estimate | Time Saved | Cost Saved |
| MVP / internal tool (simple, 1-3 integrations) | 10-12 weeks / $25,000-$30,000 | 5-7 weeks / $10,000-$15,000 | 30-40% | 50-60% |
| Mid-size web or mobile application | 4-5 months / $25,000-$30,000 | 2-3 months / $12,000-$18,000 | 25-35% | 40-50% |
| Legacy system modernization (mid-size) | 5-9 months / $30,000-$35,000 | 3-6 months / $15,000-$20,000 | 30-40% | 45-50% |
| Test coverage introduction (legacy codebase) | 6-10 weeks / $15,000-$20,000 | 2-3 weeks / $5,000-$8,000 | 40-50% | 60-70% |
| API integration layer (3-5 integrations) | 6-10 weeks / $25,000-$30,000 | 2-3 weeks / $15,000-$138,000 | 25-35% | 50-75% |
| Small enterprise platform | 8+ months / $70,000+ | 6+ months / $40000+ | 20-30% | 45-60% |
| Enterprise platform | 10+ months / $90000+ | 8+ months / $50000+ | 20-30% | 45-60% |
| Large enterprise platform | 12+ months / $120,000+ | 10+ months / $80000+ | 20-30% | 45-60% |
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