Engineering intelligence. Delivering outcomes.

Connect language to your systems.

We integrate large language models into enterprise workflows — building assistants, RAG pipelines, and agentic systems that work with your data, your processes, and your users.

What we build

• Enterprise chatbots and virtual assistants
• RAG (Retrieval Augmented Generation) — LLMs grounded in your documents and databases
• Agentic AI pipelines — autonomous multi-step task execution
• Voice NLP interfaces with intent detection and conversational response
• LLM fine-tuning on domain-specific data
• Pre-diagnostic and clinical decision-support modules

Proven in: Medibot (voice NLP + intent detection + symptom mapping)

Remove humans from the repetitive work.

Hyper-automation combines RPA, AI decision engines, and agentic workflows to automate complete business processes end-to-end — not just individual tasks, but the entire workflow including the exceptions.

What we build

• Agentic AI pipelines for multi-step process automation
• RPA with AI decision layers — handles exceptions, not just rules
• Intelligent document processing (OCR + classification + extraction)
• Workflow orchestration and dynamic process optimisation
• Self-learning and adaptive automation systems

From design to a robot that ships.

We design and build complete physical robotic systems — from mechanical concept and embedded programming through sensor integration and field deployment. We've built consumer robots, industrial manipulators, and remote cleaning systems.

What we build

• Custom robotic system design — mechanical, electrical, and software as one integrated system
• Robotic manipulators (3-axis, 5-axis, custom DOF)
• Autonomous mobile robots (AMR)
• Human-robot interaction interfaces
• ROS-based motion planning and control systems
• Sensor fusion for robotic perception

Proven in: Medibot · Gbot · Tbot

Intelligence at the edge.

We build AI into hardware — from microcontrollers and edge devices to full IoT networks. When cloud latency, connectivity limits, or data privacy rules are constraints, we bring the intelligence to the device itself.

What we build

• Edge AI model deployment (TensorFlow Lite, ONNX, custom optimisation)
• Embedded system design and firmware development
• IoT sensor networks with real-time data pipelines
• MQTT-based device communication architectures
• Low-power AI hardware for field deployment
• Embedded vision systems — inference on-device, no cloud required

Proven in: Vision Pro · Medibot · Jucy · Vasthra (sensor fusion)

Custom models. Production-grade.

We design, train, and deploy custom deep learning models for complex pattern recognition, prediction, and classification — where off-the-shelf models don't have the domain specificity your problem requires.

What we build

• Custom CNN, RNN, and Transformer architectures
• Transfer learning on domain-specific datasets
• Model compression and optimisation for edge deployment
• MLOps pipeline design — training through monitoring
• Anomaly detection and predictive analytics
• Medical imaging and clinical diagnostic AI

Proven in: Vasthra pattern recognition · Vision Pro vehicle classification