NewBigAI Assistant — an AI copilot for internal documents
BigAI helps Vietnamese enterprises build modern data foundations and put AI into real operations — from data platforms and BI to generative AI and agents.
Trusted by enterprises and institutions across Vietnam
Common blockers
Three barriers that keep most data and AI programmes from producing business value.
Data is scattered across ERP, CRM, spreadsheets and legacy systems. Every department has its own version of the truth, and nobody trusts the numbers.
See how BigAI solves itAnalysts spend dozens of hours a week assembling reports. By the time a report is ready, the decision window has already closed.
See how BigAI solves itModels work on a data scientist laptop but never reach production — no infrastructure, no monitoring, no operating process.
See how BigAI solves itSolutions
From data foundations to AI in operations — start at the point that matches your data maturity.
A single source of truth for the whole organisation. BigAI consolidates every source system into a governed lakehouse so that every report and every AI model downstream runs on the same trusted numbers.
Learn moreGet the right numbers to the right people, at the right time, with one shared definition. BigAI builds the certified metric layer and opens self-service to business users.
Learn moreA model only matters when it changes a real decision. BigAI selects use cases by business value, measures them against KPIs agreed up front, and hands over models running in production.
Learn moreGenerative AI pays off when it is anchored to your real data. BigAI deploys RAG systems and agents inside your infrastructure, with every answer traceable to the source document.
Learn moreReplace human eyes on the tasks repeated thousands of times a day. BigAI deploys vision systems that run inside the factory or store, independent of network conditions.
Learn moreThe gap between a model that works and a model that runs is infrastructure. BigAI builds the platform that gets models to production quickly, keeps them monitored, and keeps the bill under control.
Learn moreBigAI Products
Five core products, usable standalone or combined into a complete data ecosystem.
Bring data from every system in your organisation into one governed, traceable platform.
SAP, Oracle, MySQL, PostgreSQL, Salesforce, Google Analytics, regional marketplaces, spreadsheets and custom APIs.
CDC and streaming via Kafka, under five minutes latency for business-critical data.
Automated completeness, format and duplication rules with anomaly alerts.
Highlights
How it works
Get numbers to decision-makers without routing every request through IT, on one certified metric set for the whole company.
Ready-made packs for executives, finance, sales, operations and HR.
Ask "How is northern region revenue tracking against last year?" and get the query and chart back.
Push alerts to email, Slack or Zalo when a metric crosses a configured threshold.
Highlights
How it works
An AI assistant that answers from your own internal documents and always cites the source so anyone can verify it.
Every answer carries document name and page; one click opens the original passage.
Only retrieves documents the asker is entitled to see, synced from AD/LDAP.
SharePoint, Google Drive, Confluence, network shares, databases and internal sites.
Highlights
How it works
Replace human observation on tasks repeated thousands of times a day, with models running inside the plant.
Detect surface defects, missing components and label errors on the line.
Invoices, ID cards, waybills and contracts with full diacritics support.
Runs on local devices, under 100 ms latency, no internet dependency.
Highlights
How it works
Vietnamese speech processing at a quality that holds up in a real contact centre, including regional accents and background noise.
All three regional accents supported, under 8% WER on real contact-centre audio.
Automated reminders, order confirmations and satisfaction surveys, with handover to a human when needed.
Score every call instead of a 2% sample: script compliance, customer sentiment and risk keywords.
Highlights
How it works
120+
Projects delivered
85 TB
TB processed per day
60+
Data & AI engineers
9
Years of industry experience
* Placeholder figures — replace with BigAI actual numbers before launch.
How we work
Each step has concrete deliverables and acceptance criteria — you always know where the project stands.
Review current data estate, source systems and priority use cases. Output: assessment report and roadmap.
Lock the reference architecture, technology stack, security model and estimated running cost.
Run on real data for 4–6 weeks, measured against KPIs agreed in advance.
Move to production, integrate with existing systems, train your internal team.
Monitor models, optimise infrastructure cost, iterate on a quarterly cycle.
Case studies
From 14 disconnected sources and manual reconciliation to a single governed lakehouse serving both regulatory reporting and internal analytics.
Read case studyReplacing store-manager intuition with per-SKU forecasting that accounts for seasonality, weather and the promotion calendar.
Read case studyManual visual inspection replaced by edge-deployed computer vision detecting twelve surface defect classes on the line at 30 frames per second.
Read case studyIndustries
Every industry has its own data structures, compliance rules and problems. Pick yours to see concrete applications.
Resources
Three architectures solving three different problems. Choosing wrong does not fail the project immediately — it raises cost and complexity until a rebuild becomes unavoidable.
The two approaches are often framed as alternatives. RAG solves a knowledge problem; fine-tuning solves a behaviour problem. Confusing them is a common way to overspend.
Most Spark spend is wasted in places that are easy to fix: the wrong storage format, partitions that are too small, avoidable shuffles, and clusters idling overnight.
A BigAI solution engineer will review your current data estate with you, identify the highest-value problem to solve and sketch a realistic roadmap. No commitment.