#1 GLOBAL WORKFORCE PARTNER

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Expertise in Generative AI Custom AI Development End-to-End Delivery Enterprise-Grade Standards

AI & LLM Solutions for Global Enterprises

We help companies design, train, and deploy AI and Large Language Model solutions that accelerate innovation, reduce costs, and unlock new business opportunities.

Engagement Models

Advisory Services

Some companies are still at the stage of exploring how AI can create value for their business. For them, our advisory services offer a structured way forward. We begin by assessing their AI readiness, mapping out opportunities, risks, and ROI potential. From there, we design a strategic roadmap that lays out how to move from experimentation to enterprise adoption. We also guide architectural choices, whether that means selecting the right LLM frameworks or identifying the best infrastructure setup in the cloud, on-premises, or in hybrid environments. This model is ideal for organizations in the early stages of AI adoption that need clarity and direction.

Project-Based Delivery

For organizations that already know what they want to achieve, we deliver AI and LLM projects from start to finish. Our team sets up data pipelines, prepares and annotates datasets, trains and fine-tunes models, and develops applications that integrate seamlessly with existing systems. Once complete, we test, deploy, and hand over the solution in a production-ready state. This approach works best for businesses that want a turnkey solution with clear deliverables, timelines, and measurable outcomes.

Dedicated AI Teams

Some companies require ongoing support because their AI roadmap is constantly evolving. In these cases, we provide dedicated teams of AI specialists—data scientists, ML engineers, annotators, and project managers—who act as an extension of the client’s in-house workforce. These teams handle continuous improvements, from retraining models and refining features to optimizing cost and performance. Working in close collaboration through agile sprints, they ensure that innovation never slows down. This model suits enterprises that view AI as a long-term strategic priority.

Hybrid / Co-Delivery

There are also organizations with partial AI capabilities in-house that want to move faster without building everything from scratch. For them, we offer a hybrid engagement model where responsibilities are shared. The client’s team may handle core intellectual property while we take on tasks such as scaling infrastructure, managing MLOps, or providing data labeling at scale. This flexible arrangement allows companies to fill specific gaps while maintaining control of their key assets. As their internal capacity grows, the level of external support can be adjusted accordingly.

How It Works

Discovery

Understand your business goals and assess AI opportunities.

Design

Define the right AI/LLM architecture and roadmap.

Build

Collect and prepare data, fine-tune models, and develop applications.

Deploy

Launch into production with robust monitoring and support.

Scale

Continuously improve with new features, data, and performance tuning.

LLM Fine-Tuning & Customization

Adapt existing large language models to your industry and proprietary datasets for better accuracy and alignment.

Data Annotation & Preparation

High-quality datasets for AI/ML training—including text, speech, and structured data.

AI-Powered Applications

Conversational agents, recommendation engines, knowledge assistants, and task automation tools.

Model Integration

Embed AI models into enterprise systems such as CRMs, ERPs, HR platforms, and customer support portals.

POC & Prototyping

Rapid proof-of-concepts to validate business cases and demonstrate ROI.

MLOps & Monitoring

Full lifecycle support: model deployment, scalability, performance tracking, and cost optimization.

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