One partner across the whole stack.

AIGard provides full-stack software, data and AI engineering: product engineering, AI and machine learning, data platforms, cloud and DevOps, mobile and design, and quality assurance.

Services are delivered through staff augmentation, dedicated teams or software outsourcing, by engineers who cover the whole stack from architecture to production support.

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.

Choose by how much of the delivery you want to manage. If you have engineering leadership and need capacity or a skill, use staff augmentation. If you want a workstream owned by a stable team, use a dedicated team. If you want an outcome delivered against milestones, use software outsourcing.

We recommend a model on the scoping call, and you can change it later under the same agreement.

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.

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.

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.

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.

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.

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.

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.