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Our Offerings in GCC for AI and Data Engineering
We don’t just operate offices. We become an extension of your team. Real people solving real problems, with the expertise that you need and the agility you want.
Data Architecture & Warehousing
Machine Learning Engineering
AI Application Development
Data Pipelines & ETL
Business Intelligence & Analytics
MLOps & Model Monitoring
Choose The Right Package As Per Your Requirement
Choose the team size that fits your AI goals. We handle hiring, compliance, and operations while your engineers deliver insights, models, and production systems.
Starter
5 Members Team
You pay the actual agreed salary of each team member
5 dedicated senior engineers- 24/7 tech support & monitoring
- Monthly performance updates
- Scale anytime you want
- Full compliance handled
- Direct email support
Growth
10 Members Team
You pay the actual agreed salary of each team member
- 10 hand-picked specialists
- 24/7 support & monitoring
- Bi-weekly check-ins
- Instant scaling options
- Enhanced compliance & security
- Priority support access
- Quarterly strategic reviews
Scale
20 Members Team
You pay the actual agreed salary of each team member
- 20 elite professionals
- 24/7 support & monitoring
- Weekly team syncs
- Flexible team composition
- Enterprise security & compliance
- Dedicated account manager
- Monthly planning sessions
- Custom tool integrations
Enterprise
50+ Members Team
You pay the actual agreed salary of each team member
- 50+ top-tier engineers
- 24/7 support & monitoring
- Real-time dashboards
- Unlimited team flexibility
- White-glove compliance
- Dedicated leadership team
- Weekly strategy sessions
- Fully customized solutions
Build Your AI & Data Engineering Team
Need something different? We build custom AI and data engineering teams tailored to your analytics, ML, and platform challenges.
From data architects to ML engineers, we help you assemble specialists who integrate seamlessly into your workflows with full IP ownership at Bacancy GCC.
Our Simple, Proven Process
From idea to launch, here’s how we make sure your project runs smoothly every time.
Discover & Architect
We assess your data maturity, define architecture, and align engineering goals with measurable business outcomes.
Build Dedicated Teams
We onboard specialized AI engineers aligned exclusively to your roadmap, security standards, and delivery cadence.
Deploy Systems
We release models and pipelines into production with automated testing, monitoring, and enterprise reliability.
Industries We Serve
Industries we serve as a leading global capability center, delivering scalable talent, innovation, and digital excellence across sectors.
Aerospace & Defense
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Banking, Financial Services & Insurance (BFSI)
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Consumer Goods (CPG)
EdTech & Digital Learning
Energy & Utilities
Healthcare & Life Sciences
Manufacturing & Automotive
Pharmaceuticals
Retail & E-commerce
Technology & Software
Telecommunications & Media
Travel, Logistics & Hospitality
Why Choose Bacancy GCC for AI & Data Engineering?
Through our GCC for AI and Data Engineering Services, we help you establish a secure AI delivery center with ownership, flexibility, and enterprise-grade operational control.
1000+ Engineers
500+ Global Clients
Seamless 30-Day Launch
ISO + SOC2 Compliance
What Our Clients Say
"The AI GCC team helped us modernize our entire data platform and deploy production-ready ML models 40% faster. Their structured approach to governance and MLOps truly elevated our data maturity."
"From data engineering pipelines to predictive analytics, their GCC operated like an extension of our internal team. We saw measurable improvements in reporting accuracy and operational efficiency within months."
"Their AI engineers built a scalable recommendation engine that directly increased our conversion rate. The team’s architectural thinking and execution speed were impressive."
"The GCC model gave us access to top-tier AI talent without the hiring overhead. They helped us implement real-time data streaming and advanced analytics seamlessly."
"Their AI & data engineering experts built predictive demand forecasting models that significantly reduced operational costs. The collaboration felt strategic, not transactional."
"They didn’t just deliver models—they built a scalable data foundation. From cloud data architecture to GenAI use cases, the impact was immediate and long-term."
The Questions Everyone Asks (And Our Honest Answers)
How do you measure success for an AI GCC?
Can you help with data strategy and roadmap creation?
Do you support generative AI initiatives?
Can we integrate our internal data teams with your GCC?
What engagement models are available?
How is this different from traditional outsourcing?
Do we own the models and data pipelines?
Can we start small and scale later?
What roles can be included in our GCC?
How do you ensure data security and compliance?
How long does setup usually take?
Can teams align with our time zone?
Who owns the IP?