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Comprehensive AI Solutions for Businesses

Future-Ready Business Powered by AI. We provide a full range of services designed to solve real-world business challenges through AI, data, and custom software.

AI-Powered Transformation

Streamline Operations – Boost Productivity – Support Data-Driven Decision-Making

AI is not only for tech giants. By combining advanced technology with a human-centered approach, we ensure your business is ready for the future.

50+
AI Projects Delivered
40%
Average Cost Reduction
3x
Productivity Increase
OUR MAIN SERVICE CATEGORIES

Full-Stack AI & Data Solutions

Everything you need to transform your business with AI, from strategy to implementation.

AI Model Training & Fine-Tuning

Specializing in machine learning models for industry-specific challenges including computer vision and language models optimized for Vietnamese.

  • Custom model development
  • Transfer learning
  • Model optimization

AI Agent Development & Automation

Building autonomous AI agents for complex business tasks and workflows that operate 24/7.

  • Process automation
  • Intelligent assistants
  • Workflow optimization

AI Training & Adoption

Hands-on training for teams to effectively use AI tools like ChatGPT, Gemini, and custom solutions.

  • Team workshops
  • Best practices
  • Change management

Data Analytics & Business Intelligence

Connecting data sources to dashboards for real-time performance tracking and insights.

  • Dashboard design
  • KPI tracking
  • Predictive analytics

Data Engineering Services

Designing data warehouses, data lakes, and automated pipelines (ETL/ELT) for reliable data flows.

  • Data architecture
  • Pipeline automation
  • Data quality

System Takeover & Operations

Managing legacy systems during vendor transitions or staff turnover with zero disruption.

  • Legacy support
  • Knowledge transfer
  • System modernization

Cloud Platform Services

Infrastructure migration, management, and cost optimization across major cloud providers.

  • Cloud migration
  • Cost optimization
  • Infrastructure as code

Custom Software Development

Tailored web and cross-platform applications built with modern technologies and best practices.

  • Full-stack development
  • API integration
  • Scalable architecture
AI CAPABILITIES

Enterprise AI Services

Unlock the potential of artificial intelligence with tailored strategy, custom solutions, governed automation, and production-ready agentic architectures.

AI Strategy & Consulting

Turn practical AI opportunities into measurable business outcomes.

  • AI readiness assessment
  • Use-case discovery
  • ROI and feasibility analysis

Custom AI Solutions

Develop AI applications, APIs, internal tools, and workflow integrations.

  • AI web and mobile apps
  • AI SaaS integration
  • Custom chat interfaces

Generative AI

Use large language models to automate knowledge work and content operations.

  • Enterprise assistants
  • Document intelligence
  • Semantic search

Agentic AI Systems

Build agents that plan, reason, call tools, and execute governed workflows.

  • Multi-agent systems
  • Tool and API calling
  • Human-in-the-loop controls

Retrieval-Augmented Generation

Connect AI securely to enterprise documents, data, and knowledge sources.

  • Knowledge bases
  • Vector database integration
  • Citations and source references

AI Model Integration

Select and integrate commercial, open-weight, local, or hybrid AI models.

  • OpenAI, Claude, and Gemini
  • Llama and Mistral
  • Local and private model hosting

AI Automation

Automate repetitive workflows across customer service, HR, sales, and finance.

  • Document processing
  • Email automation
  • Business workflow orchestration

AI Data Engineering

Build clean, governed, and reliable data foundations for AI applications.

  • ETL/ELT pipelines
  • Feature engineering
  • Warehouse integration

AI Model Training

Adapt and optimize models for proprietary data and specialized use cases.

  • Supervised fine-tuning
  • Evaluation frameworks
  • Optimization and quantization
AI READINESS ASSESSMENT

Find the right starting point for your AI roadmap

Answer a focused set of questions across strategy, data, technology, people, governance, and delivery. Receive an immediate readiness score and practical next steps before committing to an AI initiative.

Start the assessment

What you receive

10-15 minutes
A concise, self-guided assessment
0-100 score
An immediate view of overall AI readiness
6 dimensions
Strengths and priority gaps across the operating model
30 / 60 / 90 days
A directional path from alignment to a controlled pilot

The result is directional and based on self-reported answers. It is not a technical, legal, security, or compliance certification.

AI ENGINEERING

Production-ready AI with evidence and control

We engineer AI systems with evaluation, observability, guardrails, security, and governance built into the solution—not added after deployment.

Prompt Engineering

Robust prompts, templates, and dynamic examples designed for consistency and reliability.

AI Guardrails

Topic, latency, output-format, and policy controls supporting safe and responsible usage.

LLM Evaluation

Automated and human evaluation of answer quality, hallucination, relevance, and drift.

AI Observability

Monitoring token usage, latency, cost, exceptions, hallucination signals, and performance.

AI Security

Authentication, authorization, input protection, and defenses against injection and jailbreaks.

AI Governance

Policies for responsible AI, privacy, model lifecycle controls, licensing, and accountability.

AI LIFECYCLE

From concept to production operations

A structured, iterative methodology takes AI applications from business discovery through secure deployment, monitoring, and continuous improvement.

Phase 1

Strategy & Data

01

Discovery

Assess feasibility, constraints, data availability, and success criteria.

02

AI Strategy

Define model architecture, technology choices, and implementation roadmap.

03

Data Preparation

Aggregate, clean, structure, and label enterprise data.

Phase 2

Modeling & Development

04

Model Selection

Evaluate commercial and open-weight models for quality, cost, and latency.

05

RAG & Fine-Tuning

Connect private knowledge or adapt models to specialized requirements.

06

Application Development

Engineer APIs, orchestrators, interfaces, and business integrations.

Phase 3

Verify & Deploy

07

Evaluation

Benchmark quality, hallucination, security guardrails, and regressions.

08

Deployment

Release secure applications to cloud, VPC, or private environments.

Phase 4

Operations & Scaling

09

Monitoring

Observe cost, latency, drift, exceptions, and production behavior.

10

Continuous Growth

Use feedback and human review to refine data, prompts, and models.

GOVERNANCE & TRUST

Responsible AI & Enterprise Security

Govern intelligent systems with transparent controls, privacy protections, security boundaries, and evidence that supports enterprise risk management.

Responsible AI & Governance

Controls designed to keep AI operations transparent, accountable, and aligned with applicable organizational and regulatory requirements.

  • Human-in-the-Loop

    Human validation gates for critical decisions and model review cycles.

  • Model Explainability

    Traceable outputs and system logic that reduce black-box decisions.

  • Data Privacy Guardrails

    PII detection, scrubbing, anonymization, and private model contexts.

  • Model Monitoring

    Tracking accuracy drift, bias indicators, and hallucination rates.

  • Risk Management

    Impact assessments and stress testing across edge cases.

  • Regulatory Readiness

    Architecture considerations for GDPR, the EU AI Act, and sector needs.

Enterprise Security & Compliance

Layered security controls protect sensitive business data, AI services, integrations, and infrastructure.

  • Enterprise Authentication

    SSO, SAML, and multi-factor authentication for protected access.

  • Role-Based Access Control

    User, database, tool, and API authorization boundaries.

  • Data Encryption

    Encryption for sensitive data at rest and in transit.

  • Audit Logging

    Tamper-resistant records of access, changes, and model execution.

  • Private & VPC Deployment

    Isolated cloud networks, private environments, or local clusters.

  • Secure API Gateways

    Input sanitization, rate limiting, and prompt-injection defenses.

Compliance depends on the organization's use case, data, jurisdiction, policies, and legal obligations. FIX Partner provides technical readiness and implementation support; this does not constitute legal advice or a guarantee of compliance.

WHY CHOOSE FIX PARTNER

Your Trusted Partner in AI Transformation

Proven Expertise

Years of experience delivering AI solutions across industries

Business-First Approach

Solutions designed to solve real problems, not just showcase technology

Rapid Delivery

Agile methodology with fast time-to-value for your investment

Enterprise Security

SOC 2 compliant processes with data protection at the core

End-to-End Service

From strategy and development to deployment and ongoing support

Innovation Partner

Stay ahead with cutting-edge AI technologies and best practices

WHO CAN BENEFIT

AI Solutions Tailored for Every Business

From startups to enterprises, we help organizations at every stage leverage AI for growth.

Startups & Growing Businesses

Scale faster with AI-powered automation while keeping costs under control.

Enterprises & Corporations

Transform operations with intelligent automation and enhanced customer experience.

C-Level Executives

Strategic AI adoption for digital transformation, personalized marketing, risk analysis, and tech integration.

Global Companies

Leverage Vietnamese talent and cost advantages for AI development and implementation.

IT Leaders & Product Managers

Speed up development cycles and scale teams with AI-augmented workflows.

Production AI

Enterprise AI capabilities beyond the prototype

We combine data engineering, model integration, evaluation, guardrails, and operations to create AI systems teams can trust and improve.

AI strategy & consulting

Identify valuable use cases and create a practical adoption roadmap.

  • AI readiness assessment
  • Use-case discovery and ROI
  • Governance foundations

Generative & agentic AI

Build assistants and agents that use enterprise context and controlled tools.

  • Enterprise copilots
  • Multi-step agent workflows
  • Human-in-the-loop controls

RAG & knowledge systems

Connect models to governed business knowledge with transparent sources.

  • Document ingestion
  • Semantic and hybrid search
  • Citations and access control

AI data engineering

Prepare reliable data foundations for analytics, retrieval, and model training.

  • ETL/ELT pipelines
  • Data quality and labeling
  • Feature and vector stores

Evaluation & guardrails

Measure quality and constrain behavior before and after release.

  • Automated evaluations
  • Safety and format controls
  • Regression test suites

AI observability & security

Track behavior, cost, latency, drift, and threats in production.

  • Token and cost monitoring
  • Prompt-injection defenses
  • Model lifecycle governance
Delivery approach

AI development lifecycle

A staged lifecycle keeps strategy, data, model behavior, application delivery, and production learning connected.

  1. Checkpoint 01

    Discovery

    Assess value, feasibility, risk, and data.

    Review, evidence, next decision
  2. Checkpoint 02

    AI strategy

    Select patterns, models, and controls.

    Review, evidence, next decision
  3. Checkpoint 03

    Data preparation

    Clean, structure, and govern data.

    Review, evidence, next decision
  4. Checkpoint 04

    Model selection

    Benchmark quality, cost, and latency.

    Review, evidence, next decision
  5. Checkpoint 05

    RAG or tuning

    Ground or adapt model behavior.

    Review, evidence, next decision
  6. Checkpoint 06

    Application build

    Create secure APIs and experiences.

    Review, evidence, next decision
  7. Checkpoint 07

    Evaluation

    Test quality, safety, and reliability.

    Review, evidence, next decision
  8. Checkpoint 08

    Deployment

    Release into a controlled environment.

    Review, evidence, next decision
  9. Checkpoint 09

    Monitoring

    Observe usage, drift, cost, and incidents.

    Review, evidence, next decision
  10. Checkpoint 10

    Improvement

    Refine with evidence and human review.

    Review, evidence, next decision
Visible throughout delivery

Progress you can see—not a black box

Continuous feedback loop

Shared ownership

Business, product, and engineering decisions stay connected.

Working demos

Frequent reviews replace long periods without visibility.

Quality gates

Risk, security, and quality are checked throughout delivery.

Outcome signals

Adoption and operational data guide the next improvement.

Ready to Build the Future of Your Business Together?

Let our AI experts help you identify opportunities, design solutions, and implement cutting-edge technology that drives real business value.

Trusted by 50+ companies across industries