Founder-led AI & full-stack delivery

Building AI-first products
that actually ship and scale.

GenAIWorks is a next-gen AI agency specializing in Generative AI, LLMs, and full-stack engineering. We design and deploy intelligent, scalable systems that automate workflows, personalize experiences, and deliver measurable business impact.

Generative AI & RAG
Full-Stack & Cloud-native
Production-grade MLOps
Automation & Integrations
Explore capabilities ↘
AI-powered products delivered
RAG chatbots, risk models, automation pipelines & more.
Stack
Python · FastAPI · GCP · AWS · Dialogflow CX · Make · Vector DBs
GenAIWorks · Active Programs
AI Systems Performance Snapshot
Live · Last 30 days
Automation hours saved
1,280+
across workflows automated with Make, webhooks & APIs
  • AI meeting notes shipped to CRM automatically.
  • Knowledge queries handled by RAG chatbots.
  • Risk scoring integrated into decision flows.
Multi-document RAG AI Meeting Assistant Risk Models Dialogflow CX
  • Embeddings + vector search for personalization.
  • Python & FastAPI backends on GCP / AWS.
  • Human-in-the-loop review where it matters.
Designed & led by the founder · GenAIWorks
What GenAIWorks does

From idea to production-grade AI systems.

We help teams go beyond demos and pilots. Our work sits in real workflows: powering search, personalizing user journeys, and automating repetitive tasks end-to-end.

AI Strategy Use case first

Industry-focused AI solutions

Custom AI agents and decision systems tailored to your domain and business constraints.

  • Use-case discovery and prioritization workshops.
  • High-level architecture & integration plan.
  • Clear roadmap from prototype to production.
Built to plug into your existing stack and data.
AI Products RAG · NLP · ML

AI-powered internal & customer tools

We design and implement AI products that solve real business problems, not just demo well.

  • Multi-document RAG chatbots for knowledge bases.
  • AI meeting transcription & summarization systems.
  • Loan default risk prediction and scoring models.
Human-readable outputs, clear model behavior & guardrails.
Engineering Cloud-native

Full-stack & automation engineering

Production-grade systems that integrate AI into your existing stack and workflows.

  • Python & FastAPI backends, APIs & microservices.
  • Deployments on GCP & AWS with observability.
  • Workflow automation with Make, Sheets, APIs & webhooks.
We don’t just ship POCs—we ship systems that stay up.
AI systems & stack

RAG, NLP, and automation that plug into your stack.

Every project is designed around your data, tools, and teams. We keep architecture simple, maintainable, and observable from day one.

Multi-document RAG Knowledge chatbots

Context-aware RAG chatbots

Chatbots that can handle PDFs, FAQs, SOPs, tickets, and more—grounded in your content with traceable answers.

  • Chunking, embeddings, and vector search tuned for your domain.
  • Citations, confidence scores, and fallback strategies.
  • Optional human approval for sensitive actions.
Vector DBs Embeddings Access control
Meeting AI Summarization

AI meeting transcription & summaries

Capture calls once, reuse insights everywhere: CRM, tickets, follow-ups, internal docs.

  • Call recording → transcription → action items & next steps.
  • Automatic syncing to CRMs, docs, or project tools.
  • Custom summary formats (sales, support, product).
Speech-to-text LLM summarization CRM APIs
Risk & ML Predictive models

Risk prediction & scoring

Models tuned to your portfolio and signals to improve decision-making and risk control.

  • Feature engineering on your historical data.
  • Model evaluation with business-centric metrics.
  • API integration into decision flows and dashboards.
Python ML frameworks Monitoring
How we work

Founder-led, fast, and focused on impact.

No black boxes, no endless research decks. We collaboratively define a high-leverage use case, run a focused build, and iterate based on real usage data.

Step 01
Use case & systems workshop
We map your workflows, data sources, constraints, and success metrics. You get a clear AI roadmap and architecture sketch before any code is written.
Step 02
Pilot build (3–6 weeks)
We ship a production-ready pilot: APIs, agents, or internal tools wired into your environment— with monitoring and human override where needed.
Step 03
Scale, automation & handover
Once we see real usage, we optimize, automate integrations, and train your team. You get documentation and option for ongoing support.
What you can expect

Clear communication, realistic timelines, and systems that your engineering and operations teams are comfortable owning long-term.

🧱 Simple, understandable architectures 📊 Metrics wired from day one 🤝 Direct access to the founder
Let’s talk

Have a use case in mind? Let’s turn it into a live system.

Share a bit about your business, data, and goals, and we’ll respond with a short, concrete proposal: architecture options, timelines, and where AI can create the most leverage for you.