Gen AI Development
Production LLM applications built to lastWe build full-stack Generative AI applications — RAG pipelines, LLM-powered features, fine-tuned models, and agentic workflows — from prototype to production.
What you get
Every engagement is designed around clear business outcomes — not just technical deliverables.
RAG Architecture
Retrieval-augmented generation that answers from your proprietary knowledge base, not the open web.
Fine-Tuning
Custom fine-tuned models on your domain data for tasks that general models get wrong.
Private & Secure
On-premise or VPC-hosted LLMs for sensitive data — no customer data leaves your infrastructure.
Eval-Driven
Automated eval suites measure accuracy, latency, and regression on every model update.
Built Different. Delivered Different.
We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.
10+ Years of Production AI
We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.
Results-Driven, Not Hours-Driven
We measure success by your business outcomes: reduced costs, more revenue, faster operations.
Deep Technical Depth
Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.
Radical Transparency
We tell you when AI is not the right answer. Our goal is your success — not our revenue.
How we work
A battle-tested process refined across 50+ projects — fast, transparent, and built for production from day one.
Use Case Scoping
Define the exact task, inputs, outputs, success criteria, and guardrails.
Data Preparation
Chunk, embed, and index your documents in a vector store optimised for retrieval.
Model Selection & PoC
Benchmark 3–5 candidate models on your actual data; pick the best performer.
Production Build
Streaming responses, caching, fallback logic, and cost controls built in.
Monitoring & Iteration
LLM observability with Langfuse or Arize; continuous improvement loop.
Our tech stack
We pick the best tool for the job — not the one we happen to know. Here is what powers our Gen AI Development engagements.
LLM Providers
RAG Stack
Fine-tuning
Serving & Monitoring
Typical projects
From rapid MVPs to enterprise-grade systems — here are the kinds of projects we tackle.
Choose how we work together
No one-size-fits-all pricing. We adapt to your project type, team size, and budget.
Fixed-Price Project
Clearly scoped deliverables, timeline, and price. Zero surprises — you know exactly what you are paying for.
- Detailed scope document
- Fixed-cost proposal
- Milestone-based payments
- 30-day post-launch support
Ideal for: Defined projects with clear requirements
Monthly Retainer
Dedicated hours each month for ongoing development, optimisation, and strategic AI guidance.
- Dedicated senior engineer hours
- Weekly strategy calls
- Priority support SLA
- Monthly roadmap reviews
Ideal for: Growing SaaS and product companies
Team Augmentation
Dedicated engineers embedded in your team — same timezone, same tools, same Slack.
- Full-time dedicated engineers
- Direct Slack/Teams access
- Embedded sprint participation
- Knowledge transfer sessions
Ideal for: Enterprises scaling their tech teams
Common questions
Still have questions? Ask us directly →
Which LLM provider do you recommend?
It depends on cost, privacy, and accuracy needs. We benchmark each provider against your specific task.
What if our data contains sensitive information?
We deploy local or VPC-hosted models (Llama 3, Mistral) so data never leaves your environment.
How do you measure quality of LLM outputs?
We build automated eval suites using LLM-as-judge and ground-truth datasets specific to your domain.
Let's build something
extraordinary together.
Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.