Go beyond adopting AI.
Find bottlenecks. Build solutions on site.
We identify your business bottlenecks and build tailored RAG solutions,
working alongside your team from design to deployment.
2–3 weeks
RAG MVP prototype demo
100%
Embedded FDE delivery
On-Prem
Enterprise data security
End-to-End
From assessment to deployment and improvement
What We Deliver
From enterprise RAG design to on-site delivery, we work with you every step of the way.
RAG Setup & Optimization
Enterprise RAGWe design enterprise RAG architectures that securely connect documents, wikis, and logs. Hybrid search and LLM orchestration improve answer accuracy.
- check_circleHybrid keyword and vector search
- check_circleLLM orchestration pipelines
- check_circleSecure private network and on-premises deployment
Forward Deployed Engineering
Forward DeployedWe work alongside your team to identify bottlenecks and build custom AI transformation pipelines that work in your business.
- check_circleOn-site workflow analysis
- check_circleCustom automation pipelines
- check_circleOngoing support after deployment
Does this sound familiar?
Common bottlenecks we encounter in real businesses.
Repetitive customer support work
Are repetitive RMA and refund processes consuming your support team's time?
Fragmented business data
Does gathering manuals and financial data across departments take days just to compile an SCM dashboard?
Slow internal search
Are employees losing valuable time searching wikis and folders for policies and documents?
AI that fails to deliver
Have expensive AI tools failed to fit your workflows or improve productivity?
An Agile Delivery Process
We demonstrate progress with working solutions.
Workflow Interviews & Data Assessment
We interview your team to identify bottlenecks and assess the quality and potential of your data.
RAG MVP Demo in 2–3 Weeks
Within 2–3 weeks, we demonstrate a working RAG prototype using your real data.
Deployment & Continuous Improvement
We deploy the validated solution and use real usage data to improve accuracy and expand automation.
Proven in Enterprise Production
A multi-agent system deployed in production at a global enterprise.
Enterprise AI Agents
We unified LG Electronics' global SCM data into a single source of truth and built a secure multi-agent system on AWS with reasoning and autonomous execution.
Read the Case Studyarrow_forward< 10 sec
Lookup time (previously 60+ min)
90%
Workflow efficiency improvement
100+/day
Autonomous CSR handling
Insights & Case Studies
Practical insights into RAG optimization and business automation.
Designing Hybrid RAG for More Accurate Retrieval
A practical guide to combining keyword and vector search to reduce hallucinations in enterprise RAG systems.
Designing Business Automation with Multi-Agent Pipelines
Design patterns for orchestrating multiple LLM agents to automate complex business workflows beyond a single prompt.
Reducing Support Response Time by 70% with RMA Automation
An FDE case study on unifying fragmented manuals with RAG to automate recurring support inquiries and reduce handling time.
Find your business bottlenecks
in 15 minutes.
Talk through your current processes with us,
and explore AI solutions tailored to your business.
Free assessment · NDA available · Online or in person
MARKETING · SEO · GEO
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Zunery also offers marketing services: content strategy, blog production, SEO, GEO for generative AI search, and clear paths from discovery to inquiry.
Understand the numbers
behind a business.
Search company profiles and explore revenue, operating profit, assets, liabilities, and financial statements by fiscal year.
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Income Statement
Compare three fiscal years
Explore Featured Companies
View company profiles and 2025 financial statements.
Samsung Electronics
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View Profile & Financial StatementsLG Electronics
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View Profile & Financial StatementsHyundai Motor
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View Profile & Financial StatementsNAVER
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View Profile & Financial StatementsSource: Korean Financial Services Commission company profiles · KOGL Type 1 (attribution). Latest published data may differ from the current situation.