Faster implementation
Use AI assistance for scaffolding, refactoring, documentation, and repetitive engineering tasks.
AI/ML Services
Generative AI technology solutions start here
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Microsoft
OpenAI
NVIDIA
Generative AI
AI-Powered Innovation
Converting your data into business value
assures your competitive edge
Deploy cutting-edge AI/ML technologies including Natural Language Processing, Computer Vision, Data Analytics, and Text Processing to drive automation, insights, and innovation across your organization.
Neural Networks
Computer Vision
NLP
Data Analytics
Deep Learning
Real-time AI
Service Categories
Comprehensive AI/ML Solutions
Computer Vision
Transform visual data into actionable insights with state-of-the-art computer vision solutions.
- Real-time Object Detection
- Equipment Monitoring
- Infrastructure Damage Detection
- Security Solution
- Store Environment Monitoring
NLP / Text Processing
Unlock the power of language with advanced natural language processing capabilities.
- Document processing
- Data extraction
- Sentiment analysis
- Chatbots and Virtual Assistants
- Natural Language Generation
Data Analytics
Drive data-driven decisions with powerful analytics and predictive modeling.
- Anomaly detection
- Customer analysis
- Demand forecasting
- Recommendation systems
- Remote Monitoring
AI-Augmented Engineering
Work with AI-augmented developers
FIX engineers use modern AI coding tools to accelerate exploration, implementation, documentation, and testing while keeping human accountability at every decision point.
AI assistance supports the engineering process; it does not replace architecture, secure coding, peer review, quality assurance, or validation against your business requirements.
Human-reviewed delivery
Engineers review generated suggestions, verify behavior, and remain responsible for merged code.
Policy-aware usage
Tool access and data handling follow the security, privacy, and repository rules agreed for the project.
Quality built in
AI-assisted testing complements acceptance criteria, peer review, automation, and release controls.
Tools for AI Development
A practical toolchain from code to production
We select tools around your use case, existing stack, security requirements, data environment, and deployment target. The list below represents capabilities, not a mandatory platform bundle.
AI-assisted engineering
Tools that support implementation, code review, documentation, and test design.
GitHub CopilotCursorCodexClaude Code
Models & frameworks
Proven foundations for machine learning, deep learning, and generative AI.
PyTorchTensorFlowscikit-learnHugging Face
AI applications
Platforms and orchestration tools for dependable AI-enabled products and workflows.
OpenAI APIAzure OpenAILangChainLlamaIndex
Data, MLOps & deployment
Tooling for repeatable pipelines, model lifecycle control, and scalable operations.
MLflowAirflowDockerKubernetes
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.
- Checkpoint 01
Discovery
Assess value, feasibility, risk, and data.
Review, evidence, next decision - Checkpoint 02
AI strategy
Select patterns, models, and controls.
Review, evidence, next decision - Checkpoint 03
Data preparation
Clean, structure, and govern data.
Review, evidence, next decision - Checkpoint 04
Model selection
Benchmark quality, cost, and latency.
Review, evidence, next decision - Checkpoint 05
RAG or tuning
Ground or adapt model behavior.
Review, evidence, next decision - Checkpoint 06
Application build
Create secure APIs and experiences.
Review, evidence, next decision - Checkpoint 07
Evaluation
Test quality, safety, and reliability.
Review, evidence, next decision - Checkpoint 08
Deployment
Release into a controlled environment.
Review, evidence, next decision - Checkpoint 09
Monitoring
Observe usage, drift, cost, and incidents.
Review, evidence, next decision - Checkpoint 10
Improvement
Refine with evidence and human review.
Review, evidence, next decision
Visible throughout delivery
Continuous feedback loopProgress you can see—not a black box
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.
AI FAQ
What technology leaders ask before starting
Practical answers about delivery, integration, security, and team readiness.
What does AI-augmented developer mean at FIX Partner?
It means an engineer uses approved AI tools to assist with tasks such as exploration, implementation, documentation, testing, and review. The engineer remains accountable for architecture, code quality, security, validation, and the final result.
Can FIX work with our existing engineering team and toolchain?
Yes. FIX specialists can join your current workflows, repositories, project tools, coding standards, review process, and release controls. AI tooling is adapted to your policies rather than imposed as a separate way of working.
How do you protect private code and business data when using AI tools?
Tool access, data handling, repository permissions, and acceptable use are agreed before delivery. We avoid placing confidential information into unapproved services and apply human review, least-privilege access, and project-specific security controls.
Do you build proofs of concept or production-ready AI systems?
Both. We can validate a focused use case through discovery and prototyping, then engineer the data pipelines, integrations, evaluation, monitoring, security, and deployment controls required for production use.
Can you integrate AI into our existing applications and infrastructure?
Yes. We design APIs, data flows, retrieval pipelines, user experiences, and operational controls around your current web, mobile, cloud, data, CRM, ERP, or enterprise platforms.
How quickly can an AI project start?
After goals, scope, required skills, access, commercial terms, and team structure are confirmed, FIX Partner targets project kickoff within 2-4 weeks. Timing can vary for specialized talent, complex compliance needs, or restricted environments.
Ready to Start?
Kick off AI projects in 2-4 weeks.
Align on the use case, success metrics, required skills, and delivery model. Once scope and commercial terms are confirmed, we target onboarding and project kickoff within 2-4 weeks.
- Assess the use case, data readiness, and delivery risk
- Choose specialists and the right engagement model
- Confirm architecture, roadmap, access, and governance
- Onboard the team and begin measurable delivery
DELIVERY PROOF
Experience, delivery discipline, and capabilities
Facts and capabilities drawn from FIX Partner's public company information and the service scope on this page.
49+
Team members
9+
Years of experience
Vietnam + Global
Delivery coverage
How delivery moves forward
- 1Discovery
- 2Design
- 3Build
- 4QA
- 5Launch
- 6Support
Capabilities for this engagement
AI use-case discovery
Data and system integration
Human-reviewed delivery
AI governance controls
Production monitoring
ADDITIONAL INFORMATION
A delivery partner built around your next step
Whether you need a focused specialist, a project team, or a long-term delivery partner, FIX aligns the people, capabilities, and delivery plan to your goals.
Flexible team size
From one specialist to a cross-functional delivery team.
Join at any stage
Discovery, delivery, modernization, release, or support.
2–4 week kickoff
Typical start target after scope and team requirements are confirmed.
ENGAGEMENT MODELS
Choose the engagement model that fits your delivery needs
Start with the right level of ownership, flexibility, and team capacity for your initiative.
Dedicated Development Team
A stable, cross-functional team aligned to your product roadmap and delivery goals.
View model detailsIT Staff Augmentation
Add the engineering, QA, AI/data, or cloud specialists your team needs now.
View model detailsProject-Based Outsourcing
Deliver a defined scope with clear milestones, quality gates, and handover.
View model detailsFAQ
Frequently asked questions
How do we identify the right AI use cases for our business?
We assess business processes, data availability, operational pain points, expected value, and delivery risk to prioritize practical AI use cases before implementation.
Can AI solutions work with our existing systems and data?
Yes. AI solutions can connect to existing applications, APIs, data platforms, documents, and workflows with appropriate access controls and integration design.
How do you manage AI security and governance?
We define data handling, access controls, human review, model boundaries, monitoring, and governance requirements appropriate to the use case and organization.