AI Development for Founders Who Need to Ship This Quarter
Senior AI engineers, led by Vivek Nakum. We build LLM features, AI agents, and ML pipelines into your SaaS or e-commerce product. Production-grade. Two-week turnaround on first feature.
100+ Projects · 7+ Years · Trusted by founders in the UK, US, UAE, Germany, and beyond
Most AI Projects Stall in One of Three Places
The ChatGPT plugin breaks under load
Hackathon prototypes don’t survive production traffic. You need rate-limit handling, retry logic, fallback models, and observability from day one.
Generic AI consultants pitch but never ship
Strategy decks are easy. Production-grade AI features that handle real users, real data, and real edge cases are not.
Your in-house engineer has never deployed an LLM at scale
RAG, vector databases, prompt versioning, eval pipelines, and cost controls are a steep learning curve. Months of trial and error before anything ships.
We’ve shipped 20+ AI features into live SaaS and e-commerce products. Here is what we build.
AI Features That Actually Survive Production
Four core capabilities. Real examples from real projects. Each one shipped, monitored, and maintained by senior engineers.
Autonomous agents with tool use, memory, and reasoning
Multi-step agents built on Claude Agent SDK, LangChain, and custom orchestration. They call tools, query your DB, retain context across sessions, and route to humans when confidence drops.
Claude, GPT-4, and open-source models in your existing stack
We embed LLMs into Laravel, Node.js, and Python production codebases with proper rate limiting, fallback chains, prompt versioning, and cost monitoring. Switching providers later is a config change, not a rewrite.
Retrieval-augmented generation over your own data
Custom RAG pipelines with vector databases (Pinecone, Weaviate, pgvector), hybrid search, re-ranking, and citation tracking. Built so the model answers from your knowledge base, not from training data.
End-to-end automation of operational workflows
Email triage, content generation, data extraction, document classification, and back-office automation. Run on cron, queue workers, or webhook triggers. With audit logs and human-in-the-loop where it matters.
The AI Stack We Ship With
No experimental tooling. No vendor lock-in. Every piece is something we’ve run at scale for real customers.
Three Steps. No Surprises.
Every engagement starts with Vivek scoping the build personally. From there, the pod takes over and ships in two-week cycles you can see and pause.
Start With Step 1Discovery call (30 min, free)
Vivek scopes your build, maps the architecture, flags real risks before any contract. You leave the call with a clear technical opinion, even if you don’t hire us.
Two-week MVP sprint
First AI feature shipped to a staging or production environment within 14 days. You see real progress, real code, and real cost numbers, not slide decks.
Iterate, scale, or hand over
Extend the pod, add more features, or hand the codebase to your in-house team with documentation and a knowledge transfer. Your call. No lock-in.
The Difference Is in Who Actually Writes the Code
Senior-only pod
Four to six engineers, every one a senior. No juniors learning on your bill, no agency rotating staff between accounts.
Direct Slack with engineers
You talk to the people writing the code. No PMs filtering, no account managers translating, no broken telephone.
Two-week first-feature commit
If your first AI feature is not in a runnable state within 14 days of contract, you don’t pay for week three. Written into the engagement.
Stop anytime, no lock-in
Monthly engagement. Cancel with 14 days notice. We hand over clean, documented code. No retainer traps.
What Clients Say
“very professional and was able to successfully complete the job even before deadline. He was always available responding to my questions and was devoted to the project. I highly recommend sighing him as I would for future projects."”
“If you're looking for a dedicated and hardworking team, The Code Vendor is your place, I loved working with them.”
“The Codevendor is highly recommended for Android / flutter jobs. Vivek and team is highly professional. They first understand the problem & give their inputs / suggestion. I would definitely hire him again for sure.”
Pick the Tier That Fits Your Stage
No public pricing because every project is different. Tell us what you’re building on the strategy call and we’ll quote a fair fixed scope.
AI Sprint
- One scoped AI feature, end to end
- Production-grade or staged for review
- Code, docs, and handover included
- Fixed price, no surprises
AI Pod
- Dedicated senior pod, monthly retainer
- Two-week sprint cycles, real demos
- Direct Slack with engineers
- Cancel with 14 days notice
Custom AI Build
- Full product builds with AI at the core
- Architecture review and design phase
- Multiple sprints, full pod allocated
- Includes deployment and observability setup
FAQ
How fast can you start an AI project?
Do you work with our existing engineering team?
Should we use Claude, OpenAI, Gemini, or open source models?
Can we switch model providers later without rebuilding?
How do you handle data privacy and GDPR?
Will the AI features integrate with our existing app and database?
How long does a typical engagement run?
How do you prevent hallucinations and bad outputs in production?
Do I need a full pod, or can a single senior engineer handle our project?
What happens after launch? Do you offer ongoing support?
Talk to a Senior AI Engineer in 48 Hours
30-minute call with Vivek. We scope your build, show you 2-3 similar projects, and tell you honestly if AI is the right answer.
Book a Free AI Strategy CallPrefer email? contact@thecodevendor.com
