Intellegens develops and provides Alchemite™, a machine learning software designed for data analysis in chemical, materials, life science, and manufacturing R&D. Alchemite™ helps increase experimental efficiency and design better products and processes by working effectively with sparse and noisy data. The software is used across various applications, including materials & chemicals, FMCG & foods, life sciences, manufacturing industries, data science, and academic research. Intellegens offers both Alchemite™ Analytics (a web-based interface) and Alchemite™ Engine (an API) and provides consultancy and software licensing options.
• advanced machine learning
• optimizes materials, chemicals, paints, drugs, foods, personal care products
• reduces experimental workload
• accelerates innovation
• works with sparse, noisy data
• easy design of experiments
Once your purchasing activities finish, Intellegens will assign an Alchemite™ Success team to work with you on delivering the project. In most cases, our project delivery process starts with a kick-off meeting, in which the Alchemite™ Success team will discuss and confirm with you the project plans, including scope, objectives, and timelines. Often, delivery begins with a pilot (or Proof of Concept) project. Once the initial project approach has been agreed, all users from your organisation will get access to the Alchemite™ platform. The first stage is usually to collate, organise and prepare data in the required formats – the Alchemite™ Success team will advise on this process and support you through initial analysis work. This analysis can be undertaken either by Intellegens scientists or by your own team, as agreed in the project plan. In either case, the Alchemite™ Success team will meet you on a regular basis to coach all software users on how to use the platform step-by-step, review the insights found by Alchemite™ on your project, and discuss the best approach to solve problems that arise. By the end of project, the Alchemite™ Success team will support you in delivering the project review in a manner of your choice (reports, presentations, etc.) and in deciding on next steps.
In many cases, your journey with Intellegens starts with a pilot project (also called a “Proof of Concept”, or POC project). These projects are consultancy-driven and run for 3 months on average (although the length might vary depending on the complexity). During the project lifecycle, the Alchemite™ Success team will work with you to deploy Alchemite™ software to meet agreed objectives and to demonstrate the feasibility of Alchemite™ in your use case. As part of the engagement, we will ensure that your project leads learn the skills needed to use Alchemite™ and thus feel confident in leading projects internally in the future. Following a successful pilot project, you’ll be in a position to decide whether to extend the existing project or begin a project with a new focus. In either case, you’ll be provided continuous support and guidance from the Alchemite™ Success team.
The Alchemite™ Success team will be involved in a pilot project from Intellegens’ side. Normally an Alchemite™ Success team will consist of an account manager, at least one ML scientist, and a project delivery manager.
In consultancy projects you will expect most of the scope of work and deliverables to be undertaken as a service by the Alchemite™ Success team, in accordance with the requirements and objectives discussed in the project kick-off. Consultancy projects have less focus on training you in the use of the Alchemite™ software and preparing for an on-going software deployment – although, often, customers decide after a consultancy project that progressing to a software deployment is a good next step.
In software projects, your role will gradually transition from an AI participant to an AI player, with most of the scope of work and deliverables to be undertaken by your internal project team, although (particularly for initial projects) some service and support is usually provided by the Alchemite™ Success team. This includes providing you with training sessions where you can learn and develop the essential skills and competencies to use Alchemite™.
After Alchemite™ has proven its feasibility in your use case, you might consider deploying it to your team or organisation. To use Alchemite™, you need to get either a “Model Builder” or “Analytics User” licence for each individual user in your organisation. Please contact our sales team for more information.
Yes. All Alchemite™ users must comply with our EULA terms and conditions after registration. The terms and conditions can be found on the login page of Alchemite™ Analytics, labelled as “Legal” and “Privacy” on the bottom of this page.
Model Builders have the ability to create new models, whereas Analytics Users can only view and apply them. To get a model, Analytics Users need to ask either Model Builders from your organisation or from the Alchemite™ Success team to create a model meeting your needs and share it with you.
You are free to use Alchemite™ through either the Alchemite™ Analytics web browser (frontend) user interface or its API, Alchemite™ Engine. There are 3 ways to deploy AlchemiteTM in your organisation: Shared cluster. All the cloud resources and computations will be run and hosted on Intellegens shared infrastructure. Private managed cluster. All the cloud resources and computations will be run and hosted on a standalone, private infrastructure that is separate from the shared infrastructure, all managed for you by Intellegens. Self-hosted cluster. All the cloud resources and computations will be run and hosted on your own infrastructure, isolated from any Intellegens infrastructure, and will be deployed, supported and administered by your own IT team. Both the frontend and API are available on all three cluster types.
Our service is currently available on Google Cloud Platform, Amazon Web Services (AWS) and Microsoft Azure. The shared cluster is purely on Google Cloud Platform. The private managed cluster is currently available on all of these three cloud providers. The self-hosted cluster is available on all of these three cloud providers, plus any other Kubernetes enabled services, from your own hardware to smaller services such as OVH or linode.
Alchemite™ Analytics is a web browser based tool and all the computation will be done on cloud, so if you’re using Alchemite™ Analytics there’s no requirement on your device/laptop. In order to get the best experience please always keep your browser version up to date. For Alchemite™ Engine API users, some familiarity with programming is required. We provide a Python client to simplify the process of authenticating with and using the API. Using this client requires a Python installation of 3.8 or newer. Alternatively, full documentation of the API is available to allow the creation of a custom client, if you have specific needs that the Python client can’t fulfil.
If you’d like to expand your licence, please contact our sales team who will propose new licence plans for you and guide you on the next steps.
Before you agree to a pilot project or licence the software, your key contact will be your Intellegens sales representative. During this process you’ll be gradually introduced to the Alchemite™ Success team, consisting of your account manager, ML scientists, and a project delivery manager. When a project is kicked off, the project delivery manager will become a key contact alongside your account manager.
During any project, your Alchemite™ Success team will keep closely in touch with you and collaborate with you to assess further needs. If further support or consultancy is needed, you can discuss this with your key Intellegens contacts at any time and they can advise you and work with the scientific team at Intellegens to timetable any necessary ML scientists’ time.
Sales & Business Development Manager
AI-powered software for data analysis in R&D, improving experimental efficiency and product/process design. Handles sparse and noisy data.
Benefits:
Office based during initial phase with option for hybrid working thereafter
Career development and mentorship opportunities to help you progress your sales career
A great team culture and supportive working environment
Cycle to work scheme
Social events
Education Requirements:
Strong academic background with degree in maths, science or engineering
Experience Requirements:
At least 3 years experience in selling technical solutions
Other Requirements:
Ability to identify business opportunities, develop and sign-up business prospects
Creation, maintenance and expansion of relationships into target customers organisations
Management and negotiation of commercial agreements, expansion and renewal contracts
Ability to create account strategy, and account targets
Communication of account status, progress, needs and roadblocks regularly with stakeholders
Collation of market and competitor information and support product teams with positioning and feature planning
Ability to collaborate with Science team to overcome customer’s technical requirements
Demonstrate professional courage and influence
Be highly motivated, enthusiastic and results driven
Be passionate about being a key contributor to the growth of the company
Demonstrate a desire for learning and personal development
A willingness to attend events, expos, and to undertake occasional travel
Ability to translate technical features into tangible customer benefits
Autonomous and entrepreneurial mindset
Background in industrial chemicals, materials, and/or pharma markets
Responsibilities:
The primary focus of the Sales & Business Development Manager is to be responsible for targeting new business and growing key assigned accounts.
You will engage with research and innovation professionals, who are keen to understand the business impact of applying AI and machine learning, and demonstrate the key advantages of our technology and products in the real world.
You will become a key player in the commercial team, contributing towards the company’s growth and scale.
Drive our business by applying your commercial skills and passion for technology, working with customers from start-ups to global enterprises.
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Sales Development Representative
AI-powered software for data analysis in R&D, improving experimental efficiency and product/process design. Handles sparse and noisy data.
Benefits:
Office based during initial phase with option for hybrid working thereafter
Career development and mentorship opportunities to help you progress your sales career
A great team culture and supportive working environment
Cycle to work scheme
Social events
Other Requirements:
Drive top-of-the-funnel lead generation
Implement and contribute to the Sales playbook that we will follow as we grow our team
Ability to translate technical features into tangible customer benefits
Demonstrate professional courage and influence
A willingness to attend events, expo’s, and to undertake occasional travel
Be highly motivated, enthusiastic and results driven
An expert communicator with the ability to build rapport with a range of internal and external stakeholders
Be passionate about being a key contributor to the growth of the company
Demonstrate a desire for learning and personal development
Flexibility and comfortable adjusting approaches to suit the requirements of the business
Experience of systems such as Salesforce, LinkedIn Sales Navigator and other common SDR tools is desirable but not essential
Previous sales experience within a Saas environment
Familiarity with working towards KPIs
Responsibilities:
As the ‘first point of contact’ for many of our potential customers, this role requires you to guide them through their initial engagement and support them by identifying the value our technology can provide them.
Building these early stage relationships is of paramount importance to the business to ensure a continuous flow of opportunities are hitting the funnel, empowering the sales team to hit their revenue targets.
Research and identify potential customers(outbound) and progress leads(inbound) through multiple channels (phone, email, via the supporting tech stack) and kick-off the discovery and sales process.
The right candidate will need to work in collaboration with the sales, marketing and product teams to understand the latest news, features and developments and successfully articulate these to potential customers.
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