We help SaaS companies ship AI features, scale their engineering, and modernize their stack — without the overhead of hiring.
Capabilities
Proven Results
A Series A B2B SaaS company was spending 60% of their sales team's time on manual prospecting. We built an AI-powered lead scoring, automated outreach, and CRM sync system that transformed their pipeline — achieving 226% growth in qualified leads and a 40% reply rate.
Pipeline growth
Reply rate
From kickoff to production
The SaaS Advantage
A single senior AI engineer in the US costs $180K–$250K/year fully loaded. For the same budget, NKKTech provides a full dedicated team of 3–4 senior engineers + project manager, working exclusively on your product. That's 3–4x the engineering output at the same cost.
Hiring AI engineers in the US takes 3–6 months per role — interviews, offers, notice periods, onboarding. With NKKTech, your team assembles in 14 days and starts shipping immediately. No recruiting overhead, no ramp-up time.
Packages
Add LLM-powered features to your existing SaaS product. AI search, document processing, content generation, or smart recommendations. 6–10 weeks.
End-to-end MVP development for AI-first SaaS products. Architecture, frontend, backend, LLM integration, deployment, and launch. 10–18 weeks.
2–6 senior engineers + PM embedded in your workflow. Long-term product development, iteration, and scaling. Minimum 3 months.
For a focused AI feature add-on (LLM search, document processing, AI recommendations), typical delivery is 6–10 weeks. The timeline depends on API complexity, existing codebase quality, and integration points. We provide a detailed breakdown in our fixed-scope proposal after the discovery call.
Yes. We have experience with React, Next.js, Vue, Node.js, Python (FastAPI/Django), Ruby on Rails, and cloud infrastructure across AWS, GCP, and Azure. For LLM integration, we use OpenAI, Anthropic, and open-source models depending on your data privacy requirements.
Based on our delivered projects: (1) AI-powered search and document Q&A — reduces support tickets significantly. (2) Automated data extraction from unstructured inputs. (3) Personalized recommendations using your product data. (4) AI-assisted workflows that reduce repetitive user actions. We help you evaluate which fits your product and ICP in the scoping call.
We architect AI systems with data privacy as a constraint, not an afterthought. For clients with SOC 2, HIPAA, or GDPR requirements, we use private LLM deployments or self-hosted models where needed, avoid sending sensitive data to third-party APIs, and implement proper data isolation at the architecture level.
Yes. Our dedicated team model is specifically designed for this. Your NKKTech engineers work in your Slack, use your tools, join your standups, and follow your development workflow. You manage direction; we manage delivery. Minimum 3 months, then month-to-month.
Tell us about your SaaS product. We'll send a fixed-scope proposal with architecture and pricing in 72 hours.
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