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Hiptech

Data Platform

Centralize, govern, and unlock AI-ready insights from your enterprise data.

AI Builder

Deploy fine-tuned AI agents and LLMs tailored to your business workflows.

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◆Enterprise AI Builder

Build intelligent systems with enterprise AI builder

Empower your operations, accelerate innovation, and achieve operational efficiency with custom AI agents and localized LLM fine-tuning

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◆Data-driven enterprises

The foundation of data-driven enterprises

A modern Data Platform serves as the central nervous system of your enterprise. It is an integrated ecosystem designed to seamlessly collect, store, process, manage, and utilize data across every level of your organization.

By bridging the gap between raw inputs and business outcomes, we enable businesses to evolve into truly data-driven enterprises where every critical decision is backed by empirical evidence rather than just intuition or personal experience.

Unified data foundation

Establishing the core layer for collecting and storing disparate data sources into a single source of truth.

Actionable information

Processing and managing raw data to uncover meaningful patterns, trends, and business insights.

Strategic Decisions

Empowering leadership with the intelligence needed to make high-impact, evidence-based decisions.

◆Challenges

Overcoming modern challenges

Warning Icon

Key Challenges

  • WarningGeneric AI tools lack the domain-specific context needed for enterprise workflows.
  • WarningBuilding custom AI systems is expensive, slow, and requires scarce ML expertise.
  • WarningIntegrating AI into existing enterprise systems creates data silos and compatibility issues.
  • WarningMaintaining model accuracy and relevance over time demands continuous retraining effort.
Checkmark Icon

Core Requirements

  • CheckmarkDeploy AI agents fine-tuned on proprietary enterprise data and processes.
  • CheckmarkEnsure AI outputs are explainable, auditable, and compliant with internal policies.
  • CheckmarkProvide seamless integration with existing ERP, CRM, and data infrastructure.
  • CheckmarkEnable scalable, low-latency inference that supports enterprise-grade workloads.

An Enterprise AI Builder enables organizations to create, deploy, and govern custom AI systems that directly enhance operational efficiency and decision-making quality.

◆Roadmap

Your journey to excellence

A structured roadmap to evolve your AI capabilities from proof-of-concept to full enterprise-scale deployment

Your journey to excellence
◆Strategy

Strategic roadmap & development phases

Provide a structured approach to fully leverage AI potential. The AI Builder platform is designed for rapid iteration, model fine-tuning, and scalable agent deployment across your organization.

01

Discovery & Strategy

  • Identify AI use cases
  • Assess data readiness
  • Define success metrics
  • Plan model architecture
02

Build & Fine-Tune

  • Collect and prepare training data
  • Fine-tune domain-specific LLMs
  • Build and test AI agents
  • Integrate with enterprise systems
03

Deploy & Scale

  • Production deployment
  • Monitoring & observability
  • Continuous model improvement
  • Enterprise-wide rollout
  • Governance & compliance
◆Strategy

Unlock real business value

AI Builder accelerates time-to-insight, automates complex workflows, and unlocks new competitive advantages through intelligent automation

Analytics & Operations

  • Executive Dashboard & 360° KPI monitoring
  • Financial and operational reporting
  • Sales & Customer Analytics
  • Operational Analytics & cost optimization

AI-Powered Insights

  • Forecasting (revenue, demand, inventory)
  • Predictive Maintenance
  • Anomaly Detection
  • Customer Segmentation & Scoring
  • Recommendation & Personalization

Business Outcomes

  • Faster and more accurate decision-making
  • Cost optimization and revenue growth
  • Increased operational efficiency
  • Scalable foundation for enterprise AI/ML
◆Approach & Capacities

A proven, low-risk implementation approach

A proven approach to deliver reliable, production-ready AI systems tailored to your enterprise needs

Understand Business
Assess Current State
Design Solution
POC Demo
Pilot Testing
Implementation
Training & Handover
Warranty
◆Use cases & Applications

Team capacities and Service scope

Core Capabilities

  • LLM fine-tuning and domain-specific model adaptation.
  • AI agent design, orchestration, and multi-agent systems.
  • RAG (Retrieval-Augmented Generation) pipeline implementation.
  • MLOps infrastructure for model versioning and continuous delivery.

Service Scope

  • AI strategy consulting and use-case prioritization.
  • End-to-end AI system design, build, and deployment.
  • Model performance monitoring and retraining pipelines.
  • Enterprise AI governance, explainability, and compliance.

Quality Assurance

  • Certified ML engineers with proven enterprise AI delivery experience.
  • Rigorous evaluation protocols: accuracy, latency, and bias testing.
  • Adherence to responsible AI frameworks and data privacy standards.
  • Ongoing model health monitoring and proactive drift detection.
◆Data architecture

End-to-end data platform architecture

Architecture Principles

  • Modern design decoupling compute and storage layers.
  • Scalable growth adapting dynamically to data loads.
  • Flexible deployment supporting cloud and on-premise.
  • Reliable pipelines ensuring zero data loss.

Core Architecture

  • Data ingestion collecting from erp, crm, and iot.
  • Data storage utilizing standardized data lakes.
  • Data processing running etl queries and integration.
  • Analytics and bi powering interactive dashboards.

Architecture Objectives

  • Establishing a single unified source of truth.
  • Ensuring fast, secure, and reliable data access.
  • Enabling scalable foundations for advanced analytics.
  • Ensuring safety, privacy, and compliance.
◆Solutions

Overcoming modern data challenges

  • Suitable for high data security and compliance needs.
  • Full control over technology and private infrastructure.
  • Highly customizable for unique enterprise constraints.
Core Requirements
  • AI agents integrated across core data components.
  • Reduced development time and complexity.
  • Flexible, AI-assisted data query and pipeline exploration.
Agentic Data Platform
◆Featured

Transforming modern businesses with strategic solutions

Explore our portfolio of successful projects where complex business challenges were transformed into streamlined, efficient workflows.

MS Fabric DP Implementation for CORSAIR GAMING
Accelerating Cross-Departmental Reporting for Honda Vietnam
Rocket

Ready to accelerate your enterprise's
digital transformation?

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