AI strategy & readiness
Identify valuable use cases, assess data and infrastructure, and build an adoption roadmap with clear success criteria.
AI & LLM ENGINEERING
AI consulting & LLM engineering.
Kaizenix provides AI consulting, LLM fine-tuning, RAG development and enterprise AI integration from Bengaluru for businesses in the US, Europe, APAC and Japan. Turn your knowledge, data and workflows into useful intelligence with an evaluated approach to production.
Discuss your projectCAPABILITIES
Deep expertise.
Practical application.
Shape the engagement around your priorities. We define the scope, technical approach and delivery milestones together.
LLM training & fine-tuning
Prepare domain datasets, evaluate model options, fine-tune where appropriate, and validate quality against your real tasks.
Enterprise search & RAG
Connect internal knowledge to assistants with retrieval, source citations, permission-aware access and Japanese-aware document processing.
Agents & workflow automation
Design tool-using assistants with bounded permissions, human approvals and integrations into CRM, ERP and service workflows.
Document AI & computer vision
Classify documents, extract tables and key fields, and process English and Japanese text, complex layouts and scanned records.
MLOps, evaluation & governance
Build deployment pipelines, quality evaluations, observability and feedback loops. Monitor cost, latency and model performance after launch.
WHAT YOU TAKE FORWARD
Clear deliverables.
A foundation to build on.
Specific deliverables and acceptance criteria are agreed for each engagement.
- 01A prioritized AI roadmap
- 02A working, evaluated pilot
- 03Integrated production workflows
- 04An operating and improvement plan
IN PRACTICE
Explore the possibilities.
All use casesEXPLORE AI SERVICES
Choose the right approach.
Understand where fine-tuning and retrieval fit, what each engagement involves and how to evaluate the result.
HOW WE WORK
From first question
to working solution.
Start with a focused brief. Test the approach, build it into your business and help your team take it forward. Each stage has a clear purpose and agreed deliverables.
01↗
Discover
Find the right problem.
Map the business problem, users, data and existing systems. Agree the scope, constraints and measures of success.
02↗
Prove
Make the opportunity tangible.
Test a focused pilot against representative data and workflows. Review the results together before expanding the scope.
03↗
Deliver
Build for the real world.
Integrate with your systems, test the controls and prepare a phased rollout. Document decisions and train the people who will use it.
04↗
Evolve
Keep getting better.
Review performance and feedback, transfer knowledge and prioritize improvements as your business needs change.
ENGINEERING NOTES
Questions to explore before you build.
All articlesPRACTICAL GUIDE
Is your knowledge base ready for RAG? A practical checklist
Prepare business knowledge for RAG with a practical checklist covering source ownership, permissions, citations, evaluation and a manageable pilot.
Read the guide PRACTICAL GUIDEBefore automating a business workflow, map the exceptions
A practical Kaizenix guide to mapping workflow exceptions, review points, retries, and acceptance examples before business automation.
Read the guideLET’S BUILD WHAT’S NEXT
Where could AI remove friction in your business?
Tell us what you want to achieve, what’s getting in the way and where you need support. We’ll explore the right starting point together.