Smart Kiwi
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About
Smart Kiwi is an AI advisory and implementation firm that provides a combination of specialized consultancy and proprietary technical tools to help companies deploy machine learning products. Based in London, the company offers "CTO-as-a-Service" to startups and established operators, focusing on bridging the gap between data science theory and reliable software implementation. Their mission is centered on improving sustainability and profitability in asset-heavy industries, such as energy and logistics, by leveraging data intelligence to reduce waste and shortages through better demand prediction. The toolset features a recently released Predictive Modelling API Suite designed for production environments. This suite includes automated time-series forecasting and anomaly detection capabilities that are Docker-ready, allowing for low-touch integration into existing corporate tech stacks. Beyond standard predictive modeling, Smart Kiwi's technical expertise extends to Large Language Model (LLM) fine-tuning, operations research (OR) optimization, and full-stack development for web and mobile APIs. In recent testing, their models have demonstrated over 30% error improvements compared to baseline forecasts, making them a high-performance option for data-driven operations. Smart Kiwi is best suited for supply chain managers, operations teams, and startup founders who require advanced technical leadership and specialized ML pipelines. It serves as a strategic partner for companies that either lack in-house technical resources or need to accelerate the development of an AI-driven Minimum Viable Product (MVP). By focusing on real-world constraints and scalable infrastructure, the service helps technical leaders and product managers move from data collection to impactful decision-making. What differentiates Smart Kiwi from generic AI consulting firms is its deep focus on asset-heavy operational environments and its plug-and-play API suite. Their work is backed by Innovate UK funding and leading venture capital firms like SFC Capital and Startup Wise Guys. This institutional support, combined with their hands-on approach to infrastructure setup and project management, provides a more comprehensive solution than simple software-only tools or high-level advisory without implementation capacity.
Pros & Cons
Provides both high-level advisory and hands-on technical implementation.
API suite is Docker-deployable for easy integration into local environments.
Demonstrated accuracy improvements of over 30% compared to baseline forecasts.
Backed by reputable institutional investors and Innovate UK funding.
Specialized focus on high-impact sectors like energy and supply chain.
Pricing is not transparent and requires scheduling a demo call.
Predictive Modelling API is currently in an early access phase with limited general availability.
The service-heavy model may be less accessible for companies seeking self-service software only.
Use Cases
Supply chain managers can use demand forecasting to reduce overstock and shortages in their distribution networks.
Startup founders can leverage CTO-as-a-Service to build and ship AI-powered MVPs without a technical co-founder.
Operations teams in the energy sector can implement anomaly detection to monitor asset health and performance.
Technical leads can use the Docker-ready API suite to quickly integrate predictive analytics into existing web or mobile apps.
Logistics planners can utilize optimization features to improve resource allocation and reduce operational waste.
Platform
Features
• anomaly detection
• llm fine-tuning
• mobile and api development
• infrastructure setup
• operations research (or) optimization
• cto-as-a-service advisory
• docker-ready deployment
• automated time-series forecasting
FAQs
What is the Predictive Modelling API Suite?
It is a production-ready, Docker-deployable suite of tools designed for asset-heavy operations. It provides automated time-series forecasting and anomaly detection to improve decision-making speed and reliability.
How does the CTO-as-a-Service model work?
Smart Kiwi acts as a technical lead for your company, providing AI advisory, implementation of ML pipelines, and software development. This helps startups ship products faster without needing a full-time in-house CTO immediately.
What industries does Smart Kiwi specialize in?
The firm primarily focuses on asset-heavy industries including supply chain, energy, and logistics. They also work with fast-growing startups looking to implement LLM features or predictive modeling.
Can the models be integrated into existing tech stacks?
Yes, the API suite is Docker-ready and designed for low-touch integration. This allows teams to deploy advanced ML models into their own infrastructure with minimal friction.
What kind of performance improvements can I expect?
In recent tests, the Predictive Modelling API Suite delivered over 30% error improvements compared to baseline forecasts. This directly enables more reliable planning and reduced waste in supply chain operations.
Pricing Plans
Custom / Early Access
Unknown Price• Predictive Modelling API Suite
• Docker-deployable integration
• Automated time-series forecasting
• Anomaly detection
• LLM fine-tuning
• CTO-as-a-Service advisory
• Infrastructure setup
• Custom software development
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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