What we do

In today's changing world and with AI continuing to dominate the business landscape, it's easy to feel lost in the shuffle, that's where we come in.

We are your partner to success.

Helping businesses navigate their AI journey from ideation to deployment.

Plan

effort: days

Develop a practical AI Strategy that ideates, crystallises and stack-ranks potential AI projects through analysis of value, feasibility and advisability. Understand the true value and potential in AI investments through our AI Due Diligence process.

Validate and detail your AI project plan with our support, developing detailed time & cost planning, data engineering requirements, the development of ethical frameworks and risk assessment.

Prove

effort: weeks

The proof is in the pudding:  we develop rapid Proof of Concepts (PoC) to test and demonstrate model capabilities and data value, allowing our customers to answer three key questions around the defined, required ROI before committing to a full project:

1. Is the data ‘good enough’ (scaled, varied, clean) to deliver the defined ROI in practice? 

2. Can a performant AI model be trained and deployed at desired latency, for an appropriate cost?

3. Can the resultant system integrate with or transform the impacted system or business process?

Program

effort: 1+ months

Attercop’s dedicated AI focus and deep expertise in Generative AI makes us the ideal partner for architecting and developing AI solutions for your business.

Productionise

effort: project dependent

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.

We also provide training and support to enable you to augment your in house capability, including training and recruitment for the required specialist skills needed.

Our Principles of Approach:
‍Four fundamental pillars.

Value

All projects should have defined and measurable ROI, and clearly defined goals.

Ad-hoc and tech-first projects frequently fail to return the cost of capital.

Feasibility

A data audit clarifies which data streams and AI applications may be worth investing in.

Considerations include data accessibility, harmonization and value to AI.

Capability

Building a mature AI organisation on a foundation of trust is required to unlock AI’s full potential.

Companies that get it right generate significant business value

Advisability

Trustworthy AI has 5 precepts:

Explainability

Fairness

Robustness

Privacy

Transparency

If people don’t trust the work AI does, or the data it’s built on, adoption will lag, returns will not materialise, and reputation may be harmed.

Why Artificial Intelligence?

The impact of AI

Artificial Intelligence (AI) has started to fundamentally change how business gets done. As with most innovations, the challenge will be to weigh up the risks of adopting the technology against the risk of rejecting it and falling behind.

Artificial Intelligence the hardest to define, is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence. AI isn’t just one thing.

The field of AI encompasses various interconnected technologies.

Data Science

Data Science covers all manipulation of data to extract information, and is a superset of all things AI as well as spreadsheets, data dashboards etc.

Machine Learning

ML is a subset of AI that focuses on the development of algorithms and statistical models that allow systems to automatically learn and improve from experience without explicit programming.

Neural Networks

These are a key component of ML, inspired by the structure and function of the human brain. They consist of interconnected nodes (artificial neurons) that process and transmit information, allowing for complex data analysis and pattern recognition.

Deep Learning

This is a subset of ML that employs neural networks with multiple layers to process and extract high-level features from vast amounts of data. Large Language Models (e.g. ChatGPT) use Transformer architectures

What we do

In today's changing world and with AI continuing to dominate the business landscape, it's easy to feel lost in the shuffle,
that's where we come in. We are your partner to success.

Our sole focus is on creating intuitive, powerful, and efficient commercial artificial solutions that deliver real-world ROI.
Whether your company chooses to build its own models, fine-tune existing models, or adopt a large language model as-is, Attercop offers end-to-end services and support broken into three distinct areas:

Plan & Analyse

1-8 weeks

Charged monthly

Align your data and AI ambitions to strategic business objectives and define an actionable strategy that turns data into measurable business value.

Define the Opportunities in the business with our AI Strategy Workshop process. Our series of workshops uncover where AI/ML innovation within your organisation can drive efficiencies, improve productivity or enhance product, while providing critical insight into the feasibility and advisability of proposed initiatives.

Get started

Prove & Test

4-8 weeks

Charged monthly

Deliver Proof of Value.
‍A Proof of Concept (PoC) helps to validate the feasibility of an idea. It allows you to test the proposed AI system on a smaller scale before fully committing to its development.

Artificial Intelligence implementation in structured iterations, aimed at enabling our clients to answer three critical questions:
Is the data ‘good enough’ (scaled, varied, clean) to deliver the defined ROI in practice?
Can an AI model be trained and prepared to perform accurately enough for the use case?Can the AI be developed to integrate effectively with existing or desired business process, technology and tools?

Get started

Productionise & Scale

3-6+ months

Charged monthly

Data and software engineering services for a scalable operation and extract the true value of data, maximise investment while remaining compliant and secure.

Deliver to live.
‍Architecting and deploying models to production is non-trivial, and many internal infrastructure & DevOps teams are not skilled in AI deployments. Attercop have significant AI deployment and service management expertise. For both commercial and self-hosted models, we can design and deliver a solution to your cloud/data centre, work with you to train and recruit specialist skills, augment your capability, or operate an AI-as-a-Service (AIaaS) model.

Get started

Why Artificial Intelligence?

Artificial Intelligence (AI) will start to fundamentally change how business gets done. It will impact how companies grow revenue, conduct everyday operations, engage customers and employees, build new business models, and more.
‍
Artificial Intelligence the hardest to define, is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence.
AI isn’t just one thing.

The field of AI encompasses various interconnected technologies.

Data Science

Data Science covers all manipulation of data to extract information, and is a superset of all things AI as well as spreadsheets, data dashboards etc.

Machine Learning

ML is a subset of AI that focuses on the development of algorithms and statistical models that allow systems to automatically learn and improve from experience without explicit programming.

What we do

1-8 weeks

4-8 weeks

3-6+ months

Helping businesses navigate their AI journey from ideation to deployment.

Plan