Discipline 02

Generative AI & LLMs

WeLead Lab builds and integrates generative AI and large language model (LLM) systems — RAG, prompt engineering, fine-tuning, and evaluation — that are grounded in your data and safe to run in production.

Book a free scan All services

Generative AI only pays off when it's wired to your data and your workflows, not bolted on as a demo. We design, build, and integrate LLM systems — retrieval-augmented generation, custom and fine-tuned models, and rigorous evaluation — so outputs are accurate, on-brand, and measurable.

Who it's for

Teams that want LLM features grounded in their own knowledge
Companies evaluating build-vs-buy on generative AI
Products that need reliable, evaluated model outputs

What you get

An LLM system grounded in your data via RAG
Evaluated, monitored output quality (LLM-as-judge)
Model-agnostic integration into your product and stack

What's included

15 services in this discipline

Generative AI consulting

Generative AI development

Enterprise generative AI

Generative AI integration

Large language model (LLM) development

Transformer model development

Prompt engineering

RAG & knowledge-base Q&A

Embeddings as a service

Adaptive AI development

LLM evaluation & LLM-as-judge

ChatGPT development & integration

Diffusion & image models (Stable Diffusion)

Midjourney & creative-model integration

Multimodal AI development

How we engage

No mystery, no lock-in before you see value.

Scan

We map your business, stack, and data and surface the highest-ROI opportunities in this discipline. Free, no obligation.

Audit

A prioritized plan: what to build, buy, or skip — sequenced by ROI and risk. Yours to keep either way.

Build · Run · Govern

We ship the systems, run them in production, and govern them for safety, cost, and compliance.

Every build is designed, secured, and governed to recognized standards — see standards & compliance.

Generative AI & LLMs — FAQ

What is RAG and do we need it?

Retrieval-augmented generation grounds an LLM in your own documents and data so answers are accurate and current instead of hallucinated. If you want an assistant that knows your products, policies, or knowledge base, you almost certainly need RAG — and it's one of our core builds.

Which models do you use?

We're model-agnostic across the leading providers and open models (including Llama on Workers AI). We recommend the right model per use case based on quality, latency, cost, and data-residency — and we evaluate outputs continuously rather than guessing.

Do you fine-tune or just prompt?

Both, in the right order. We start with prompt engineering and RAG because they're faster and cheaper, and fine-tune only when evaluation shows it's worth it. We always ship with an evaluation harness so quality is measured, not assumed.

Explore the other disciplines

One partner for the whole of AI — 110 services across 8 disciplines.

Strategy, Governance & Responsible AI

A plan you can defend to your board and your regulator.

AI Agents & Automation

Software that does the work, not just shows it.

Machine Learning & Computer Vision

Custom models for the problems off-the-shelf can't solve.

Data, MLOps & Model Training

The plumbing that makes AI reliable in production.

Growth & Marketing

Get found and chosen — on Google and on every AI.

Creative & Media

Production-grade output at machine speed.

Industry Solutions

AI built for how your sector actually works.

Ready to put AI to work?

A 20-minute scan — no pitch, just the highest-ROI plan for your business.

Book a free call

Austin, TX · [email protected] · (512) 336-9618