Generative AI your users can actually trust
Copilots, knowledge search, summarization, and content generation built on your data with RAG — evaluated, guarded, and ready for production traffic.
Large language models are remarkable in a demo and unpredictable in production. The difference between the two is engineering: retrieval that finds the right context, prompts that constrain the model, evaluations that catch regressions, and guardrails that keep outputs on-brand and on-policy.
We build generative AI features that answer from your documents, databases, and knowledge — with citations — and plug into the product experience your users already know. Model-agnostic by default, so you're never locked into one provider's pricing or roadmap.
What's included
Everything Generative AI & LLM Apps covers — from idea to a system running in production.
RAG pipelines
Ingestion, chunking, embeddings, and hybrid search over your documents and data, so answers are grounded and cited.
AI copilots
In-product assistants that help users draft, analyze, and act — embedded in your web or mobile app.
Document intelligence
Extraction, classification, and summarization of contracts, invoices, reports, and PDFs at scale.
Content generation
On-brand generation of emails, product descriptions, captions, and reports, with human review where it matters.
Fine-tuning & model selection
Choosing and, where it pays off, fine-tuning models for quality, speed, and cost on your specific tasks.
Evals & guardrails
Automated test suites, hallucination checks, PII filtering, and output policies that keep quality measurable.
Where it pays off
Common places teams put Generative AI & LLM Apps to work.
Ask-your-documents assistants
Staff and customers ask questions in plain language and get answers from your manuals, policies, and PDFs — with sources.
Contract and case analysis
Summarize, compare, and flag clauses across large document sets, cutting first-pass review time.
On-brand content at scale
Generate product copy, social captions, and campaign variants that follow your tone and guidelines.
In-app copilots
Help users complete complex tasks inside your product — drafting, searching, and explaining as they work.
Build it or rent it?
Off-the-shelf tools are sometimes the right call — and we'll say so. Here's how a custom build compares.
How an engagement runs
A typical timeline — scoped to your workflow in the first conversation.
- 1Week 1
Define & collect
Agree the task, success criteria, and the data sources the model will draw on.
- 2Week 2–3
Prototype
A working RAG prototype on your data, tested against a real evaluation set.
- 3Week 3–6
Productionize
Integration into your product, guardrails, caching, and cost controls.
- 4Ongoing
Evaluate & improve
Monitoring answer quality and retraining retrieval as your content changes.
How we de-risk it
AI projects fail for predictable reasons. We design those failure modes out from the start.
Grounded, cited answers
Retrieval with source citations so users can verify every answer.
Measured, not assumed
Evaluation suites run on every change, so quality never silently regresses.
Model-agnostic
Swap OpenAI, Claude, Gemini, or open-source models without rewriting your product.
Built by AwaitSol
Real Generative AI & LLM Apps work from our portfolio.
PdfGPT
An AI-powered PDF chatbot — upload documents and converse with them, with intelligent extraction, summarization, and grounded Q&A.
Qatar Equestrian Federation
A generative-AI portal for the Qatar Equestrian Federation — LangChain-powered chatbot automation delivering context-aware, real-time answers to riders, admins, and supervisors.
Legal Momo
An AI-assisted platform for attorneys — streamlined legal document handling, client and invoice management, and smart case analysis through automation.
AI Cover Letter Generator
A generative-AI tool that produces tailored, role-specific cover letters in seconds.
AI Caption Generator
An AI caption generator that writes social captions matched to the user's occasion and mood.
Technologies we use
Ways to work with us
Start with a pilot, bring in a full AI team, or add AI engineers to your own.
AI Pilot
A fixed-scope pilot around one workflow and one success metric — the fastest way to prove AI works for you.
- Fixed scope and price
- One workflow, one metric
- Production-ready, not a throwaway demo
Best for: Teams proving the case for AI
Talk to us about thisDedicated AI Team
A cross-functional squad of AI engineers, full-stack developers, and a delivery lead working as an extension of your team.
- AI + full-stack skills in one team
- Weekly releases and demos
- Scales up or down with your roadmap
Best for: Companies building AI products
Talk to us about thisAI-Enabled Engineers
Senior AI and LLM engineers embedded in your existing team to add capability fast — with knowledge transfer built in.
- Engineers who have shipped AI
- Works in your tools and process
- Monthly, flexible engagement
Best for: Teams with a roadmap but no AI engineers
Talk to us about thisGenerative AI & LLM Apps FAQs
Ready to find your first AI win?
A 30-minute call with an AI engineer — a straight answer on what to build, no sales pitch.
Other AI services
AI Consulting & Strategy
Find the AI use cases worth building — and a roadmap to ship them.
AI Agent Development
Custom AI agents that research, decide, and act across your tools.
Chatbots & Voice AI
Conversational AI for support, sales, and bookings — on every channel.
Intelligent Process Automation
Automate documents, approvals, data entry, and follow-ups.
Machine Learning & Computer Vision
Custom models for prediction, detection, and classification.