Managed Services

Professional Services with
Flexible Models,
Consulting Oversight
& Real Outcomes

Enterprises are struggling to scale because skilled data and AI talent remains hard to find, costly to onboard, and time-consuming to hire. Successful Data and AI transformation needs talent, speed, and governance, not ad-hoc execution without oversight or accountability. As part of our Professional Services, we provide staff augmentation services and flexible models to align with the unique needs of Data & AI transformation.

More than just talent

Flexible engagement model

Specialised strategic talent & delivery excellence

Enterprise-grade Data & AI capabilities and modern tech stack integration

Our Engagement Models

Balanced structure
with agility

Our Professional Services model offers flexible engagement options, specialized experts, and delivery excellence – spanning everything from staff augmentation to team extension services – ensuring every project, team, and partnership runs predictably, scales smoothly, and delivers measurable value.

Fixed-Price Model

A set price for a well-defined project scope. Best for projects with clear requirements and timelines.

Milestone-Based Model

Payments tied to agreed milestones or for actual time and resources used. Good for process-driven projects with measurable outcomes.

Offshore Development Center (ODC)

A remote, dedicated team managed by the client. Suitable for cost efficiency, scaling, and time zone flexibility.

Build-Operate-Transfer (BOT)

A set price for a well-defined project scope. Best for projects with clear requirements and timelines.

IT Staff Augmentation

Payments tied to agreed milestones or for actual time and resources used. Good for process-driven projects with measurable outcomes.

Hybrid Model (Onshore-Offshore)

A remote, dedicated team managed by the client. Suitable for cost efficiency, scaling, and time zone flexibility.

Contingent Workforce Management (WFM)

A set price for a well-defined project scope. Best for projects with clear requirements and timelines.

Project-based Staffing

Payments tied to agreed milestones or for actual time and resources used. Good for process-driven projects with measurable outcomes.

Our Talent Vetting Process

How We Build High-Performing Teams

A thorough, multi-stage vetting process helps us identify people who bring the right skills, experience, and mindset to every engagement.

Requirement Discovery

We begin with a deep dive into your business goals, technical landscape, and project-specific needs. This ensures our talent selection aligns with your strategic objectives from day one

01
Sourcing & Screening
Our proprietary interview framework combines functional and technical assessments to identify the best match. Every consultant is evaluated not only for expertise but also for cultural and organizational fit
02
Accelerated Onboarding
With an average fulfillment time of two weeks, we enable fast integration by aligning to your tools, workflows, and time zones - minimizing ramp-up effort and maximizing early impact
03
Ongoing Support & Governance
Engagement doesn't end at onboarding. Through regular stakeholder connections, CoE oversight, and continuous training, we ensure consistent performance, alignment, and value delivery throughout the lifecycle
04

Experts We Have

Our experts span data science, analytics, and enterprise technology – everything you need to turn your data and AI roadmap into a delivered outcome.

Tech Stack

Bring in Talent that fits your Technology Environment

Our talent pool spans modern engineering frameworks, cloud and data platforms, enterprise technologies, and specialized tools.

Whether you need a familiar skill set or expertise in a niche technology, we focus on finding professionals who can contribute effectively within your existing environment.

Data Engineering
BI
Database & Storage
AI/ML & Data Analytics
Dev Ops & Quality
Gen AI / Agentic AI
Streaming & Real-time
Cloud & Infrastructure
Business Systems
Frontend & Backend
API Layer

FAQ

Questions We Hear the Most

Get In Touch

Talk to our
Data Experts

Our team can answer your questions and help scope the right engagement for where your organisation is today.

Staff augmentation is a flexible way to extend your existing team with skilled professionals without committing to permanent hires. You choose the skills and expertise you need, while the augmented engineers work as part of your team-following your processes, tools, communication practices, and delivery cadence. It gives you the flexibility to scale your team up or down based on project requirements while retaining control over priorities, workflows, and technical decisions.

With staff augmentation, the engineers become an extension of your existing team. Your team continues to own project priorities, technical direction, workflows, and day-to-day management. In a traditional outsourcing model, the external provider typically takes greater responsibility for delivering a defined scope or outcome. Staff augmentation is better suited when you want additional expertise and capacity while keeping control in-house. When it comes to staff augmentation vs outsourcing, the difference really comes down to one thing: who stays in control of the work.

Both models give you access to an extended team, but the level of ownership is different. With staff augmentation, individual engineers or specialists join your existing team and work under your processes and leadership. With a dedicated data team, you engage a pre-assembled group that typically works as a more independent unit with its own delivery structure and leadership. Staff augmentation works well when you need targeted skills or additional capacity. Dedicated data teams are better suited to larger, ongoing initiatives that require a more self-contained team. In short, when weighing staff augmentation vs a dedicated data team, targeted skills point to augmentation, while a larger, self-contained initiative points to a dedicated data team.

We use a structured, multi-stage vetting process that evaluates technical expertise, functional experience, problem-solving ability, communication, and overall fit. We also consider the specific requirements of your project-including your technology stack, industry context, seniority needs, and ways of working-so the engineers we recommend are aligned with the role, not simply available for it.

Our engineering talent covers a broad range of modern technologies, programming languages, cloud platforms, data platforms, and development frameworks. The exact expertise depends on your requirements. We can align talent to your existing technology stack rather than asking your team to adapt to a predefined pool of skills.

We begin by understanding your project requirements, team structure, technology environment, and ways of working. Based on this, we identify and present relevant talent for your consideration. Once selected, engineers are onboarded into your existing tools, codebase, workflows, communication channels, and sprint cadence. For larger engagements, we can ramp the team in phases to align with your delivery roadmap.

We typically fulfil requirements in around two weeks, although larger or more specialized engagements may take longer. Once selected, engineers can quickly integrate into your codebase, workflows, tools, and sprint cadence. For larger engagements, we can ramp incrementally, adding engineers in stages as your requirements evolve. This provides significantly more flexibility than traditional hiring, where sourcing, interviewing, selection, notice periods, and onboarding can make the process take several months.

Yes. Our engineers work within the tools and processes your team already uses. This can include project management platforms, code repositories, communication channels, CI/CD pipelines, cloud infrastructure, and other development tools. There's no need to introduce a separate workflow or reporting layer simply because the engineers are part of an augmented team.

Pricing depends on factors such as the technology stack, seniority and expertise required, team size, engagement duration, and project scope. Staff augmentation can also reduce the overall cost of adding engineering capacity by avoiding many of the overheads associated with permanent hiring, including recruitment, benefits, office infrastructure, and other employment-related costs. For a tailored estimate based on your requirements, schedule a conversation with our team.

Start with a free
AI Readiness Assessment

Whether you’re building your first data foundation, scaling quickly, or modernizing legacy systems, a 30-minute conversation can help clarify where you stand and what to prioritize next.