Every layer, one team
One partner across the whole stack. From roadmap to production support.
The people who plan your architecture are the same people who build, ship, and run it.
Roadmap & architecture
Decide what to build, in what order, on what stack.
- Technology roadmaps
- Architecture design & reviews
- Feasibility & AI readiness
Web & mobile engineering
The applications your customers and teams use every day.
- Web, iOS & Android apps
- APIs & back-end services
- Dashboards & internal tools
Cloud, DevOps & integration
Infrastructure that scales and connects your systems.
- Cloud architecture & migration
- CI/CD & infrastructure as code
- Enterprise integrations
Data engineering & analytics
Reliable data your products and decisions can depend on.
- Batch & real-time pipelines
- Warehouses & analytics
- Data quality & governance
AI & machine learning
AI features built into the product, not bolted onto it.
- LLM apps, RAG & agents
- Predictive models & computer vision
- Evaluations & model monitoring
Quality, security & support
Keep it fast, secure, and working after launch.
- QA & test automation
- Security & performance
- Monitoring & maintenance
AI transformation
Operationalize AI. Seven areas, from strategy to real-world automation.
Machine Learning Engineering
From predictive models to production-grade intelligence.
Explore Machine Learning EngineeringGenerative AI & LLM Solutions
Build next-generation copilots, assistants, and generative systems.
Explore Generative AI & LLM SolutionsData Engineering & Annotation Services
Fuel AI performance with high-quality, compliant data pipelines.
Explore Data Engineering & Annotation ServicesAI Infrastructure & MLOps
Operationalize AI models at enterprise scale.
Explore AI Infrastructure & MLOpsFull AI Lifecycle
End-to-end AI development — from strategy and data to deployment and real-world automation.
Explore Full AI LifecycleSelected team experience
Platforms our team has built. Seven projects in healthcare, commerce, distribution and applied AI.
Smart Clinic
One operating platform for a multi-city healthcare network.
Read the case studyTelemedicine App
Specialist access connected to the next step in care.
Read the case studyAll Health
Conversational AI connected to diagnostic data and clinical care.
Read the case studyApplied AI in Healthcare
Diagnostic AI embedded in the clinician workflow.
Read the case studyAgentic Commerce for Distribution
Connecting enterprise data, product intelligence and commercial execution.
Read the case study





Partner Pharmacy Platform
A commerce and supply platform for 3,600 partner pharmacies.
Read the case study



Remote Disease Management
Connecting home monitoring to health-plan action.
Read the case studyReported project figures. Selected experience of the team behind AIGard.
Technology
Fluent in the stack you run.
The languages, frameworks, clouds, data platforms and AI models our engineers ship with daily.










Engagement models
Direct the work. Or delegate the outcome.
Every model uses the same engineers and standards. What changes is how much of the delivery you run yourself.
Start from your situation
“We have strong leads. We need more hands, or a skill we lack.”
Staff augmentation
A few extra engineers join your internal team. They work in your repos, sprints and stand-ups, and report to your leads.
- Best when
- You have strong engineering leadership and need more hands, or a skill your team lacks.
- Team shape
- Individual engineers, added one or a few at a time
- You keep
- Priorities, daily tasks, architecture, code review
- We take on
- Sourcing, vetting, HR, retention and replacements
“We have more workstreams than people to run them.”
Dedicated teams
One or more cross-functional AIGard teams that deliver several projects in parallel, working against your roadmap.
- Best when
- You have more projects than people, and want each one owned by a stable team.
- Team shape
- Pods of 3–10 (front end, back end, data/AI, DevOps, QA, team lead)
- You keep
- Product direction, priorities and acceptance
- We take on
- Team leadership, sprint delivery, QA, staffing
“We need the outcome delivered, not a team to manage.”
Software outsourcing
You hand us the outcome. We scope, design, build, test, deploy and support it, and report progress to you.
- Best when
- You have no in-house team for this, or want it off your plate entirely.
- Team shape
- Sized by AIGard to the scope, including PM, architect and QA
- You keep
- Goals, requirement sign-off, milestone acceptance
- We take on
- Everything from discovery to production support
Who owns what
- Product vision & prioritiesYou
- Day-to-day task managementYou
- Architecture & technical decisionsYou
- Delivery, QA & releaseYou
- Hiring, retention & replacementsAIGard
- Code & IP ownershipYou
Typical split. We agree the exact responsibilities in writing before work starts.
How we work
Easy to engage. Easy to scale.
Vetting, contracts and delivery, engineered to raise your team’s velocity and cut your overhead.
Vetted Senior Talent
We accept the top 1% of engineers, so you only work with proven talent.
Every engineer is assessed on technical depth, problem-solving and communication before joining a client team. Our engineers average eight to ten years of hands-on experience, so they contribute from the first sprint instead of learning on your budget.
Timezone-Aligned Management
Product and project managers in your time zone, wherever your engineers are.
Our client engagement team is distributed globally. You get a product or project manager who works your hours, joins your meetings live and keeps delivery moving across time zones, so nothing waits overnight for an answer.
AI-Native Engineering
Engineers who build with AI, and build AI into your product.
Our teams use AI tooling across design, coding, testing and documentation to ship faster, and they have production experience with LLM applications, machine learning and MLOps. You get AI capability inside the team rather than from a separate vendor.
Full-Stack Capabilities
One team, from roadmap to production support.
Strategy, product engineering, cloud, data, AI and QA under one roof, across eight practice areas. The people who plan your architecture are the same people who build, ship and run it.
Scalable Teams
Start with one engineer. Grow to several teams.
Add or reduce capacity as your roadmap changes, and move between staff augmentation, dedicated teams and outsourcing without changing partner. We handle hiring, onboarding and replacements.
Standard MSAs & SOWs
Clear paperwork, so work starts sooner.
We work under a master services agreement with a statement of work for each engagement, so scope, responsibilities and terms are written down before anything starts. Adding a team or a project means a new SOW, not a new negotiation.
NDAs & IP Protection
Everything we build belongs to you.
NDAs are signed before any access is given, and IP assignment is part of every contract in every engagement model. Your code, models and data stay yours.
Enterprise-Grade Security
Security handled. Compliance built in.
Engineers work inside your environment under least-privilege access. Our practices align with ISO 27001, SOC 2, GDPR and HIPAA, with PII masking, encryption and audit logging built into data work.
Managed Delivery
We manage delivery, quality and people.
Team leads run sprints, demos and reporting; we handle retention, performance and handovers. You set direction and see progress in the open, without managing every engineer.
Global talent. Shared ownership.
The right people. One integrated team.
A US company with a global team. Specialist engineers working together around your product.
Build your team →Southern California · US headquarters
↔
Vietnam · Engineering hub
How it works
Our process. Simple, transparent, fast.
01 Scope Week 0Scope
We study your goals, current systems and sprint cadence, then recommend a roadmap, engagement model and team shape. No obligation.
02 Match Weeks 1–3Match
We put forward engineers for your stack. You interview them and approve who joins.
03 Embed Weeks 2–4Embed
The team joins your Slack, stand-ups and repos, and starts on agreed first deliverables.
04 Deliver & scale OngoingDeliver & scale
Regular demos and progress reports. Add or reduce capacity as your roadmap changes.
Industries
Engineering for sectors where precision is non-negotiable.
HealthcareHealthcare
Transforming patient care with predictive diagnostics and operational efficiency.
View Healthcare use cases
FinanceFinance
Secure, intelligent financial systems for the modern era.
View Finance use cases
Retail & E-commerceRetail & E-commerce
Hyper-personalized shopping experiences and optimized supply chains.
View Retail & E-commerce use cases
Logistics & ManufacturingLogistics & Manufacturing
Streamlining operations from factory floor to last-mile delivery.
View Logistics & Manufacturing use cases
Real EstateReal Estate
Data-driven insights for property valuation and management.
View Real Estate use cases
Education & HREducation & HR
Personalized learning and talent optimization.
View Education & HR use casesSecurity & data protection
Your data, your IP, your rules.
Clear ownership. Controlled access. Security built into how we work—from the first conversation to production delivery.
Your intellectual property protected
Engagements begin with confidentiality agreements and clear ownership terms for code, designs, and documentation. Third-party components and their licenses are identified.
Your access policies respected
Our engineers work within approved systems and repositories, with permissions limited to their responsibilities. Access is reviewed as roles change and removed when work ends.
Security built into delivery
Code reviews, dependency checks, and secure credential handling support our development process. We agree security requirements upfront and check them before release.
Your data governed across AI tools
We agree which AI tools and models may access your code and data, including their retention and training settings. Agents operate within defined permissions, with human approval for sensitive actions.
Let’s align with your security requirements.
We’ll review your access policies, data-handling needs, and vendor requirements as part of scoping your engagement.
FAQ
Straight answers.
What does AIGard do?
AIGard provides full-stack software, data and AI engineering teams that embed into your organization. We deliver through three engagement models: staff augmentation, dedicated teams and software outsourcing.
Clients use AIGard to accelerate a product roadmap, build new platforms, modernize existing systems and put AI into production, with senior engineers who typically start within two to four weeks.
What is the difference between staff augmentation, dedicated teams and software outsourcing?
The difference is how much of the delivery you manage. With staff augmentation, you direct individual engineers inside your own team. A dedicated team is a self-managing AIGard team working against priorities you set. With software outsourcing, AIGard owns delivery of the whole project against milestones you approve.
All three draw on the same vetted engineers and the same contracts, security practices and ownership terms.
How quickly can AIGard engineers start?
Engineers typically start within two to four weeks of the scoping call. The exact date depends on the roles, seniority and number of people required.
We confirm a realistic start date in writing before you commit, and you meet the proposed engineers before work begins.
How much does it cost to work with AIGard?
AIGard engineers typically cost 30–50% less than the fully loaded cost of a comparable US-based hire, with no recruiting fees, benefits overhead or insurance costs on your side.
The figure for a specific engagement depends on the model, the roles, the seniority mix and the size of the team. We issue a written proposal after the scoping call, so the commercial terms are agreed before any work starts.
How does AIGard vet its engineers?
Every engineer clears a five-stage process before joining a client team: profile review, communication, skills assessment, a practical challenge and a technical interview with senior engineers.
The process tests delivery record, professional English, code quality, system design and proficiency in AI-assisted development. For staff augmentation and dedicated teams, you then interview and approve each person we put forward.
Can we interview engineers before they join?
Yes. For staff augmentation and dedicated teams, you meet and approve every engineer before they join.
For outsourced projects, AIGard assembles the team and is accountable for its performance; you review progress at demos and approve each milestone.
Does AIGard only do AI work?
No. AIGard builds complete products: web and mobile applications, APIs, cloud infrastructure, data platforms and the AI features that sit on top of them.
AI is one layer of the stack. The same team that plans your architecture builds, ships and supports it, across eight practice areas.
Can AIGard help define the roadmap, not only deliver it?
Yes. Many engagements begin with architecture and roadmap work: assessing current systems, selecting the stack, sequencing releases and sizing the team.
That plan carries directly into delivery with the same people, so nothing is lost between strategy and execution.
Who owns the code, models and intellectual property?
You do. Intellectual property assignment is written into every contract, in every engagement model.
That covers source code, designs, documentation, data, models and prompts produced for you. Third-party components and their licenses are identified, so ownership is clear at handover.
How does AIGard protect our data and systems?
NDAs are signed before any access is given, and engineers work inside your environment under least-privilege access, with permissions limited to their responsibilities.
Access is reviewed as roles change and removed when work ends. Our practices align with ISO 27001, SOC 2, GDPR and HIPAA, with PII masking, encryption and audit logging built into data work. We review your access policies, data-handling needs and vendor requirements during scoping.
What happens if an engineer leaves or is not the right fit?
AIGard finds the replacement and manages the handover, so delivery keeps moving and you do not restart a hiring process.
Retention, performance and handovers are our responsibility in every engagement model. If someone is not working out, tell us and we act early.
Can we change engagement model as our needs change?
Yes. You can move between staff augmentation, dedicated teams and software outsourcing without changing partner.
A common path is to begin with two or three augmented engineers and grow into a dedicated team once the scope is clear. Adding a team or a project means a new statement of work under the same master agreement, not a new negotiation.
Where is AIGard based, and where are its engineers?
AIGard is a US company headquartered in Southern California, with a global team and an engineering hub in Vietnam.
Product and project managers work in your time zone, join your meetings live and keep delivery moving across time zones, so decisions do not wait overnight for an answer.










