AI & data
Predictive Analytics & Forecasting
We build models that forecast demand, usage, risk or revenue from your historical data, and present the forecasts where decisions are made.
AI & data
Machine Learning Development Services
Our machine learning development services take AI from a demo to a working part of your product. We find where a model can save time or reveal something new, build it on your data, and put it in front of the people who need it.
What we deliver
What our machine learning development services include
AI is in much of our recent work: moksa.AI and Surveillance Services detect theft from camera feeds, Smart Defence spots high-risk vehicle activity in real time, and Penny AI simplifies bookkeeping for freelancers. In every case the model mattered only because the product around it made its results usable.
Many AI projects stall between a promising experiment and a feature people use. We avoid that by starting with a clear business question, checking early whether your data can answer it, and building the integration alongside the model. The result is a feature that fits your existing systems and workflows, with accuracy that is measured and monitored instead of assumed.
Natural Language Processing (NLP)
Classify, search, summarise or extract information from documents, emails and support messages, so your team spends less time reading and sorting.
Computer Vision Solutions
Detect objects, people and events in images and video. Our surveillance and vehicle-security projects use computer vision to raise real-time alerts.
Intelligent Process Automation
Combine models with business rules to automate repetitive decisions, while keeping a person in the loop where the stakes are high.
Data-Driven Decision Making
Dashboards, alerts and reports turn model outputs into clear actions, such as heat maps, risk scores or flagged events.
Custom AI Model Development
When off-the-shelf models are not enough, we train and evaluate custom models on your data, and monitor them in production.
Process
How we work
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Find the use case
We identify where machine learning can deliver measurable value and check that the data to support it exists.
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Prepare the data
We collect, clean and label data, and set aside a fair test set.
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Build & evaluate
We train candidate models and measure them against agreed metrics and a simple baseline.
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Integrate
The model is wrapped in an API and built into your application, dashboard or workflow.
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Monitor & improve
We track accuracy in production and retrain as your data changes.
Tools & capabilities
What we work with
- Machine learning frameworks
- Computer vision
- Natural language processing
- Predictive models
- Model APIs and dashboards
- Cloud or on-premise deployment
We select frameworks and hosting per project, for example on a cloud platform such as AWS, Azure or Google Cloud, or on your own servers.
Why CouSync
Why choose CouSync
AI that ships inside products
Our AI work lives in real applications such as moksa.AI, Smart Defence and Penny AI, not in slide decks.
AI and engineering in one team
Our AI & data science engineers work alongside our backend and full-stack engineers.
Honest about what AI can do
If a simpler rule-based solution will do the job, we will tell you. We measure models against a baseline before recommending them.
End-to-end delivery
We handle data, models, APIs, dashboards and deployment, so nothing falls between teams.
FAQ
Frequently asked questions
What problems can machine learning solve for my business?
Common examples are forecasting demand, detecting events in video, classifying documents and messages, scoring risk and automating repetitive decisions. On a first call we look at your goals and data to find the most valuable starting point.
How much data do I need?
It depends on the task. Some problems can start with existing pre-trained models and little of your own data; others need a larger labelled dataset. We assess your data before recommending an approach.
Can you add AI features to our existing product?
Yes. We build models behind an API and integrate them into your application, so your users get AI features without a rebuild.
How do you measure whether a model works?
We agree metrics up front, test on data the model has not seen, and compare against a simple baseline. In production we keep monitoring accuracy.
Is our data kept secure?
We work within your security requirements, limit access to the people on your project and discuss with you where models should run, such as your own cloud account or your servers.
What is the difference between machine learning and generative AI?
Machine learning usually predicts or classifies, such as forecasting sales or spotting an event in video. Generative AI creates new content, such as text or images. We offer both; see our Generative AI service.
Other services
Explore more services
Generative AI
Innovative generative AI solutions that merge human creativity with machine intelligence to unlock endless possibilities.
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Database Design
Scalable and efficient database solutions that ensure performance, reliability, and a strong foundation for your business.
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Software Architecture
Robust, scalable software architectures that align technology with your business goals and grow with your product.
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