Build intelligent, creative AI systems powered by large language models and diffusion architectures. From custom chatbots to automated content pipelines, we design and deploy GenAI solutions that integrate seamlessly with your business workflows.

• Custom LLM fine-tuning & RLHF
• Retrieval-Augmented Generation (RAG)
• AI chatbot & copilot development
• Prompt engineering & evaluation
• GenAI consulting & roadmapping

Bridge the gap between software intelligence and the physical world. Our Physical AI services power next-generation robotics, autonomous systems, and edge AI deployments — enabling machines to perceive, reason, and act in real environments.

• Robot perception & sensor fusion
• Autonomous navigation systems
• Sim-to-real transfer training
• Edge AI & embedded deployment
• Motion planning & control AI

Train and fine-tune large language models at any scale with our end-to-end studio. We provide curated datasets, distributed GPU infrastructure, and expert ML engineering to help you build domain-specific models that outperform general-purpose solutions.

• Pre-training & continued pre-training
• Instruction tuning & RLHF pipelines
• High-fidelity dataset curation
• Multi-GPU cluster orchestration
• Model evaluation & benchmarking

High-quality labeled data is the foundation of every great AI model. Our annotation teams deliver precise, scalable labeling across text, image, audio, and video — with rigorous QA processes ensuring your training data meets production standards.

• Text classification & NER
• Image segmentation & bounding boxes
• Audio transcription & intent labeling
• RLHF preference data collection
• Multi-language annotation support

Dramatically reduce training time by running workloads across multi-node GPU clusters. Our distributed training infrastructure handles model parallelism, gradient synchronization, and fault tolerance — so you can scale experiments without friction.

• Multi-node GPU cluster setup
• Model & data parallelism strategies
• Fault-tolerant training pipelines
• Mixed-precision & quantization
• Cost-optimised spot instance training

Keep your deployed models healthy and accurate over time. Our monitoring stack tracks performance drift, data distribution shifts, and output quality in real time — alerting you before degradation impacts your users or business metrics.

• Real-time prediction drift detection
• Data quality & schema monitoring
• Custom KPI dashboards & alerts
• Automated retraining triggers
• A/B model comparison pipelines

Replace repetitive, rule-based processes with intelligent AI pipelines. We design and implement end-to-end automation workflows that combine LLMs, computer vision, and robotic process automation to free your teams for higher-value work.

• AI-powered document processing
• Multi-step agentic pipelines
• LLM-driven decision automation
• RPA + AI hybrid workflows
• Integration with existing enterprise tools

Deploy your trained models instantly with scalable, low-latency inference APIs. Our infrastructure handles auto-scaling, load balancing, and versioning — giving your applications reliable access to AI predictions at any traffic level.

• REST & gRPC inference endpoints
• Auto-scaling & load balancing
• Model versioning & rollback
• GPU-accelerated inference serving
• Latency optimisation & batching