Core AI
Foundation AI capabilities — models, language, vision, and agents
Autonomous AI agents
Develop goal-driven AI agents that plan, reason, and execute multi-step workflows with minimal human intervention.
Computer vision solutions
From real-time object detection and facial recognition to medical imaging and quality inspection — production-ready vision systems for industrial, retail, healthcare, and security use cases.
Conversational AI & LLM integration
Build enterprise-grade chatbots, copilots, and AI assistants powered by large language models with RAG pipelines.
Custom AI model development
We design, train, and fine-tune machine learning models tailored to your specific business data and goals.
Data & Intelligence
Turn raw data into forecasts, dashboards, and operational intelligence
AI-powered business intelligence
We build natural language interfaces for your data — letting non-technical teams query dashboards, generate reports, and surface insights through conversational AI rather than SQL.
Data engineering & AI-ready pipelines
We architect scalable data lakes, real-time pipelines, and feature stores that ensure your models are always trained on clean, reliable data — from ingestion to serving.
Predictive analytics & AI insights
Transform raw data into forward-looking intelligence. Our predictive models help you anticipate demand, detect risk, reduce churn, and make data-confident decisions at scale.
Platform & Industry
Infrastructure, compliance, automation, and sector-specific AI
AI cloud & MLOps infrastructure
Deploy, monitor, and scale your AI models on AWS, Azure, or GCP with CI/CD for models, drift detection, and cost-optimised serving built in from the start.
AI process automation
We combine document AI, NLP, and intelligent decision engines to automate knowledge-intensive processes — approvals, compliance checks, and customer workflows — far beyond RPA.
AI-accelerated software engineering
Supercharge your dev team with AI-native tooling — code generation, automated testing, intelligent code review, and AI-pair programming environments tailored to your stack.
Industry-specific AI solutions
Vertical AI for your sector — clinical decision support in healthcare, fraud detection in fintech, predictive maintenance in manufacturing, and personalisation in e-commerce.
Responsible AI & compliance
We embed fairness testing, explainability (XAI), bias auditing, and regulatory compliance (EU AI Act, GDPR) into your AI systems from day one — not as an afterthought.
Android AI
On-device intelligence — Gemini Nano 4, AppFunctions, hybrid inference
AppFunctions (Android MCP) integration
We integrate your Android app with Google's intelligence system using AppFunctions — Android's Model Context Protocol. Your app's tools, services, and data become accessible to AI agents like Gemini, enabling seamless task automation directly within your app.
Custom on-device model deployment (LiteRT-LM)
For specialised use cases where standard models fall short, we fine-tune and deploy custom small language models directly on Android using LiteRT-LM — optimised for mobile hardware constraints and real-world performance at the edge.
Hybrid AI inference for Android apps
We architect intelligent routing between on-device models and cloud AI using Firebase AI Logic Hybrid Inference. Your app dynamically selects the optimal compute path — on-device for speed and privacy, cloud for complex tasks — balancing performance and cost per interaction.
In-app AI agent development (ADK for Android)
We design multi-agent AI workflows within your Android app using the Agent Development Kit. Agents orchestrate tasks across on-device and cloud models, manage sessions and context, and render native UI automatically via the A2UI Jetpack Compose Renderer.
On-device AI with Gemini Nano 4
We build production-ready Android features powered by Gemini Nano 4 running entirely on-device. Using ML Kit GenAI APIs, we implement structured output and prefix caching — delivering intelligent experiences that work offline and protect user privacy.