Our team works hand-in-hand with clients to deliver bespoke AI solutions. Unlock productivity, discover new insights, and evolve your business with our AI services
Using advanced language processing and machine learning, our AI Agents provide customised, responsive service. They adapt to your needs in real time, enhancing support and engagement.
Our AI Automation simplifies workflows by reducing manual tasks and streamlining operations, allowing your team to focus on more strategic work.
Our AI Data Analytics turn complex data into clear insights. By identifying key trends, we help you make more informed decisions.
By automating routine tasks, analysing large data sets, and personalising customer interactions, AI enables companies to:
Being an early adopter of AI technology can give your business a critical edge over competitors. Don't get left behind, talk to a specialist.
KIST is our proprietary prompting framework, built to ensure unparalleled accuracy and dramatically reduces AI hallucinations. The toolkit is model-agnostic, allowing for complete flexibility when selecting or transitioning between LLMs. As the LLM landscape rapidly evolves it has become evident that future AI applications can not rely solely on one model, but must rather choose the best model for the task.
Advantages of KIST
Empowering care providers to deliver more personalised, efficient, and compassionate services with the help of AI.
Harnessing artificial intelligence to enhance efficiency, reduce risk, and deliver more personalised financial services.
AI powered automation and data analysis enables Not-for-Profits to focus on their core missions while maximising impact.
Adaptivity: Traditional software executes predefined instructions, where as AI systems learn and improve from data over time.
Complexity: AI can handle unstructured data (e.g., images, natural language), while conventional programs generally require structured, rule-based inputs.
Autonomy: AI can make informed decisions with minimal human intervention, whereas traditional applications rely on explicit user commands.
An AI agent is a self-directed system that collects and analyses data, then executes tasks to fulfill specified objectives. It continuously learns from new information, refines its strategies over time, and is capable of handling everything from routine operational tasks to complex problem-solving.
Efficiency Gains: Automate routine tasks to accelerate workflows and reduce operational costs.
Enhanced Accuracy: Leverage intelligent systems that minimise human error and data inconsistencies.
Strategic Insights: Use predictive analytics to guide product development, marketing strategies, and resource allocation.
Selecting an AI model depends on:
Task Requirements: Classify whether you need language understanding, image recognition, recommendation systems, etc.
Performance Metrics: Evaluate models based on accuracy, latency, and resource consumption.
Flexibility Needs: Opt for model-agnostic solutions if you anticipate switching or combining multiple models.
AI hallucination occurs when a model generates incorrect or misleading information. Mitigation strategies include:
Robust Prompting: Use structured prompts and validations to constrain outputs.
Data Quality: Train models on high-quality, representative datasets.
Hybrid Checks: Combine AI outputs with rule-based or human-in-the-loop verification.