RAG vs Fine-Tuning: Choosing the Right LLM Approach for Your Product
Both RAG and fine-tuning improve LLM performance on your specific use case — but they solve different problems. Here's how to choose.
Spec to shipped. One team, no gaps.
THE CHALLENGE
OUR APPROACH
We act as your embedded technical team. We own the architecture, write the code, set up infrastructure, and ship a production-ready product — with documentation and processes that let you hand it to an internal team cleanly when the time comes.
What you receive
OUTCOMES
Working product in production — not stuck in staging
Clean, documented code a future hire can own from day one
No vendor lock-in — you own every line of the codebase
Technical decisions made with long-term scalability in mind
A reference architecture for your next round of features
OUR DIFFERENCE
We take full responsibility for technical decisions — not just task execution. Your codebase is built with long-term maintainability in mind.
All code, documentation, and infrastructure scripts are transferred to you at delivery. No licensing, no lock-in.
We've built software for FinTech, HealthTech, eCommerce, and Industrial clients across four markets. We know your sector's constraints.
USE CASES
Architecture, build, and launch of new digital products from a spec to production in structured sprints.
Systematic re-engineering of legacy systems to modern, scalable architectures without business disruption.
Embedded engineering teams that extend your existing capacity with senior developers who ship.
HOW IT WORKS
Define system design, data models, and API contracts before writing a line of code.
Core backend, auth, database, and API scaffold — the foundation everything else builds on.
Iterative delivery in 2-week sprints with weekly demos and client sign-off at each milestone.
Test coverage, security review, performance testing, and pre-launch hardening.
Production deployment, full documentation, and team knowledge transfer.
Best suited for
Not the right fit for
Engineering Stack
38 production-grade technologies — every one battle-tested in shipped products.
INVESTMENT
Get a detailed proposal within 48 hours. No commitment required.
Didn't find what you were searching for? Reach out to us at [email protected] and we'll assist you promptly.
We take responsibility for outcomes, not hours. Our teams are structured around delivery — architecture, implementation, QA, and deployment — not individual contractor placement.
We work across Python, Node.js, Go, React, Next.js, React Native, AWS, GCP, and Azure. Stack decisions are driven by your requirements, not our preferences.
Payments are tied to agreed deliverables — architecture review, foundation build, feature milestones, and final delivery. You pay for work completed, not time spent.
FROM OUR CLIENTS
The team took our AI concept from whiteboard to production in 10 weeks. The architecture they designed handles 10x our expected load with no issues.
Insights
A collection of detailed case studies showcasing our design process, problem-solving approach,and the impact of our user-focused solutions.
READY TO START?