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We help businesses transform with innovative and expertly tailored AI solutions, ensuring seamless integration and continuous optimisation.
Let us drive your AI journey—so you can focus on what you do best.
Plan & Analyse
Develop a practical AI Strategy that ideates, crystallises and stack-ranks potential AI projects through our proven approach.
Prove & Test
A Proof of Concept helps to validate the feasibility of an idea and it allows to test the proposed AI system on a smaller scale .
Productionise
Architecting and deploying AI models to productionise non-trivial, and requires unique skills and tooling
Scale
The journey doesn't stop here, Attercop remains committed to providing services for further growth and enhancement.
Plan
Prove
Program
Productionise
Uncover the ROI in AI implementation for your business and develop a practical roadmap to deployment through our proven AI strategy planning methodology.
A Proof of Concept provides evidence of the feasibility and value in your AI roadmap, delivers a platform to drive management buy-in and funding, and tests the readiness of your data for production-scale development.
Attercop’s dedicated AI focus and deep expertise across AI & ML makes us the ideal partner for architecting and developing such solutions for your business.
Scaling, deploying and managing AI solutions in production is non-trivial even for sophisticated engineering teams. Attercop specialises in AI engineering at scale and can help in all steps of the journey, up to and including AI as a Service (AIaaS) deployments.
Plan
Prove
Program
Productionise
Enterprise Knowledge AI solutions, commonly referred to as ‘Retrieval Augmented Generation’ (RAG). Expertise in data engineering, knowledge graphs and highly skilled in the use of private and commercial models. Expertise in production-quality delivery and AIOps.
Virtual Assistants. Simplify customer self-service and lower operational expenses by automating customer service processes using AI-driven chatbots.
Conversational Analytics. Examine unstructured customer communications to pinpoint key topics, assess sentiment, and reveal trends.
Personalisation. Improve personalised experiences and boost customer engagement through tailored suggestions and messages.
Expert Copilots. Improve efficiency by swiftly accessing accurate and detailed information, receiving accurate responses, infer connections and uncover insights across broad and disparate knowledge bases, and “talk across your data” with conversational interfaces.
Developer Copilots. Speed up application development with code completions and suggestions.
Automated Reporting. Utilise generative AI for the automatic production of financial reports, executive summaries, and forecasts, enhancing efficiency and minimising inaccuracies.
Marketing Initiatives. Craft captivating textual and visual content for marketing, including blog articles, updates on social media, or newsletters via email.
Sales Engagement. Create customised emails and messages tailored to a potential customer's profile and actions, enhancing the likelihood of receiving replies. Produce sales scripts or discussion guides tailored to the client's sector, market segment, and their particular products or services.
Product Innovation. Through rapid prototyping and testing, AI can accelerate the design process, enabling businesses to explore a wider range of product variations and bring innovative solutions to market more quickly.
Automated Document Handling. Elevate operational efficiency by automatically extracting, analysing, and summarising information from unstructured documents. This technology can revolutionise how businesses access, interpret, and utilise data, streamlining workflows and decision-making processes.
Synthetic Data Generation. Create synthetic data that mirrors real-world complexities to train machine learning models without compromising user data privacy or integrity, thus enhancing model robustness and accuracy and overcoming cold start issues.
Scenario Analysis and Cost Reduction. Generative AI can be instrumental in transforming processes such as supply chain management by simulating and evaluating various logistical scenarios. This predictive capability allows for proactive adjustments to supply chain strategies, mitigating risks associated with disruptions, market changes, or demand fluctuations.
Want to know more?
We'd love to talk
Our team is a global force to be reckoned with. We've hand-picked the best data scientists, engineers, project management to bring you top-quality projects. With a diverse range of experience, backgrounds and styles, we've got the perfect fit for any AI project.
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