Omnichannel Retail Operations Hub
Designed by Steelab Tech
Steelab Tech is a young tech startup based in Vietnam, focusing on developing software solutions powered by AI. With a small team of around 10 passionate members, we continuously learn and improve to deliver practical and high-quality products.
We offer services in AI/Machine Learning and Web/App/Game development, while gradually expanding our capabilities in emerging technologies. So far, we have contributed to and completed around 50 projects across various industries.
Although we are a small team, we are committed to working with dedication, flexibility, and a strong desire to become a reliable partner in our clients' technology journey.
























AI-driven data extraction and large-scale analysis pipelines for internal knowledge, market intelligence, and automated reporting.
Learn more arrow_forwardAutomate complex, cross-team processes with rule-based orchestration, AI agents, and built-in quality checkpoints.
Learn more arrow_forwardLegal document intelligence for contract review, clause comparison, compliance checks, and risk scoring.
Learn more arrow_forwardA secure internal assistant connected to enterprise knowledge bases, designed for fast answers and controlled data access.
Learn more arrow_forwardA centralized Multi-LLM gateway with policy enforcement, routing controls, observability, and spend governance.
Learn more arrow_forwardBuild and fine-tune domain-specific AI capabilities for industry workflows, decision support, and regulated operations.
Learn more arrow_forwardA resilient five-layer architecture designed for secure scaling, consistent performance, and governance across enterprise AI workloads.
SaaS Dashboard · Mobile App · REST API
GPT-4o · Claude 3.5 · Gemini 2.0 · Llama 3
Auth · Rate Limit · Cost Control · Audit Log
Vector DB · RAG Engine · Context Enrichment
ERP · CRM · Documents · Internal Systems
10+ production deployments delivered for Vietnamese enterprises with measurable impact on operations, risk control, and AI adoption speed.
Retail
Built an AI-assisted customer operations stack that unified chat, order updates, and escalation workflows across web, social, and call-center channels. The project included intent routing, SLA tracking, and automated fulfillment handoff to reduce queue pressure during peak campaigns.
Legal
Delivered a contract intelligence workflow that extracts obligations, flags risky clauses, and compares revisions against approved templates. Legal teams gained a structured review dashboard with citation-level traceability for each recommendation.
Logistics
Implemented predictive ETA models and dispatch optimization to rebalance routes in real time. The solution integrated shipment events, depot constraints, and driver capacity to improve delivery reliability across the full distribution network.
Finance
Designed a real-time fraud detection layer that scores transactions by behavioral patterns, channel anomalies, and historical context. Risk teams received prioritized alerts with explainable signals to accelerate investigation and resolution.
SaaS / Startups
Integrated enterprise AI capabilities into an existing B2B SaaS product with tenant-level governance, usage metering, and budget controls. Product teams launched AI features quickly without exposing sensitive customer data.
Manufacturing
Automated cross-functional approval chains, production exception handling, and shift-level reporting to eliminate manual bottlenecks. Operations leaders gained a transparent view of throughput and pending actions across plants.
Real Estate
Built a sales intelligence assistant that matches prospects to suitable projects, summarizes legal and financial details, and auto-generates follow-up sequences. Teams improved lead qualification while shortening time-to-consultation.
Import / Export
Delivered an AI review engine for bilingual contracts that detects contradictory terms, highlights translation risk, and proposes approved standardized language. Legal and trade teams aligned faster on negotiation-ready versions.
Technology
Implemented policy-based model routing across OpenAI, Claude, and Gemini with centralized observability and security controls. Platform teams balanced quality, latency, and cost while preserving auditability for every AI transaction.
AI solutions tailored to the operational realities of each business domain.
Detect suspicious transactions with up to 99.9% model-level precision on tuned datasets.
Automate financial report analysis and generate forward-looking cash-flow scenarios.
Deliver personalized advisory copilots for different customer tiers and risk profiles.
This architecture section is placed after business outcomes for readability, while still mapping the five operational layers that secure and govern enterprise AI usage end to end.
Every application request flows through a controlled pipeline for identity verification, policy enforcement, model routing, logging, and compliance auditability.
Layer 01
ERP, CRM, Helpdesk, document storage, and internal systems.
Layer 02
RAG, vector search, and role-aware context enrichment.
Layer 03
PII masking, prompt injection defense, quotas, rate limiting, and auth.
Layer 04
Route to OpenAI, Claude, and Gemini by quality, latency, and cost policy.
Layer 05
AI chat, workflow automation, legal copilots, and secure internal assistants.