Invitation for data scientists to support development of network and security product
Buyer: XALIENT HOLDINGS LIMITED →
What is being bought
The core idea behind the innovation project is to develop our current innovation Martina (in Proof Of Concept (POC) currently), that uses artificial intelligence to predict, and in many cases remediate, network faults and security breaches before they occur to a standalone product. To achieve this, data scientists will be required to develop the models that create the relationships between network faults and cyber breaches.
Categories
Comparable-procurement analytics
Benchmarked against retained Find a Tender procedures with CPV division 72. The category anchor is IT services: consulting, software development, Internet and support (72000000); this is a deliberately broad market comparator. The comparison is shown at several levels rather than pretending one company or region is always the best benchmark.
| Comparison set | Procedures | Reported bids per procedure | Named award suppliers | Price evidence |
|---|---|---|---|---|
| Market: CPV division 72 | 10,539 | 2 median · 15.4 average (4,162 of 10,539 with a bid count) | 2 average (5,054 of 10,539 with named award suppliers) | Not published |
| Same buyer | 0 | Not published | Not published | Not published |
“Reported bids” is an official aggregate, sometimes reported per lot; it is the closest available competition measure. “Named award suppliers” are winners, not all applicants.
Price-outcome signal
Not enough comparable procedures currently publish both a GBP tender value and a usable lowest-valid-bid value to calculate a responsible price-reduction benchmark. Tenderline deliberately does not infer a saving from named award suppliers or from missing award values.
Procurement strategy & market signals
Planning & early market engagement
No planning milestones published.
Related procurements
No linked framework, prior procurement or reprocurement published.
Documents & submission route
No documents are published in the current source record.
Source data inventory
Diagnostic view. “Not published” means this current release does not provide a value.
| OCID | ocds-h6vhtk-03459f |
|---|---|
| Latest release ID | 016177-2022 |
| Latest release timestamp | Mon Jun 13 2022 15:07:12 GMT+0000 (Coordinated Universal Time) |
| Source | find-a-tender |
| Official notice URL | Not published |
| Tender status | Not published |
| Procurement method | Not published |
| Procurement method details | Not published |
| Main procurement category | services |
| Above threshold | Not published |
| Legal basis | 32014L0024 |
| Tender period: start | Not published |
| Tender period: end | Not published |
| Expression of interest deadline | Not published |
| Enquiry deadline | Not published |
| Award period: start | Not published |
| Award period: end | Not published |
| Submission method details | Not published |
| Submission languages | Not published |
| Electronic catalogue policy | Not published |
| Total tender value | Not published |
| Tender lots in source | 0 |
| Tender items in source | 0 |
| Tender documents in source | 0 |
| Awards in latest release | 0 |
| Contracts in latest release | 0 |
| Parties in latest release | 1 |
Notice history
| Date | Event | Reference |
|---|---|---|
| 13 Jun 2022 | tenderUpdate | 016177-2022 |
| 13 Jun 2022 | tender | 016122-2022 |
All source data
Unmodified official OCDS data retained by Tenderline for this procurement process.
Complete current OCDS release JSON
{
"id": "016177-2022",
"tag": [
"tenderUpdate"
],
"date": "2022-06-13T16:07:12+01:00",
"ocid": "ocds-h6vhtk-03459f",
"buyer": {
"id": "GB-FTS-55247",
"name": "XALIENT HOLDINGS LIMITED"
},
"tender": {
"id": "ocds-h6vhtk-03459f",
"title": "Invitation for data scientists to support development of network and security product",
"amendments": [
{
"id": "1",
"description": "Quality\nQuality related criteria will be scored on the basis of the following scale:\n100%\tIn respect of each element of the Services identified in the question, the proposals fully explain how the relevant element will be delivered to the standards required, throughout the term.\nThe proposals are clear, precise and robust.\nThe explanation is sufficient to give a high degree of confidence that all of the relevant aspects of the specification will be delivered.\n80%\tIn respect of each element of the Services identified in the question, the proposals explain how the relevant element will be delivered to the standards required, throughout the term.\nThe proposals are clear, precise and robust.\nThe explanation is sufficient to give a high degree of confidence that the relevant aspects of the specification will, for the most part, be delivered. To the extent that the explanation is not sufficient to give that high degree of confidence, the explanation does not raise concerns.\n60%\tIn respect of each element of the Services identified in the question, the proposals explain, to some extent, how the relevant element will be delivered to the standards required, throughout the term.\nThe proposals are clear, but there are some concerns around precision and / or robustness. \nThe explanation is sufficient to give confidence that the relevant aspects of the specification will, for the most part, be delivered. To the extent that the explanation is not sufficient to give that confidence, the explanation raises one or more concerns but no material concerns.\n40%\tIn respect of each element of the Services identified in the question, the proposals explain, to some extent, how the relevant element will be delivered to the standards required, throughout the term, but for certain elements the explanation is very limited.\nThere are concerns around the clarity, and around the precision and / or robustness, of the proposals. \nThe explanation is sufficient to give confidence that the relevant aspects of the specification will be delivered to some extent. To the extent that the explanation is not sufficient to give that confidence, the explanation raises one or more concerns, one of which is a material concern.\n20%\tIn respect of one or more elements of the Services identified in the question, the proposals fail to explain to any extent how the relevant element will be delivered to the standards required, throughout the term; and / or the proposals are mainly or wholly unclear; and / or the explanation is insufficient to give confidence that the relevant aspects of the specification will be delivered and / or the explanation for any one or more of the elements raises multiple material concerns.\n0%\tNo response or response is irrelevant to the question asked.\nTo receive the response form for this tender please contact darren.hogan@xalient.com."
}
],
"legalBasis": {
"id": "32014L0024",
"scheme": "CELEX"
},
"description": "The core idea behind the innovation project is to develop our current innovation Martina (in Proof Of Concept (POC) currently), that uses artificial intelligence to predict, and in many cases remediate, network faults and security breaches before they occur to a standalone product. To achieve this, data scientists will be required to develop the models that create the relationships between network faults and cyber breaches.",
"classification": {
"id": "72000000",
"scheme": "CPV",
"description": "IT services: consulting, software development, Internet and support"
},
"mainProcurementCategory": "services"
},
"parties": [
{
"id": "GB-FTS-55247",
"name": "XALIENT HOLDINGS LIMITED",
"roles": [
"buyer"
],
"address": {
"region": "UKD34",
"locality": "ALTRINCHAM",
"postalCode": "WA142DT",
"countryName": "United Kingdom",
"streetAddress": "3rd Floor,1 Ashley Road"
},
"details": {
"url": "https://www.xalient.com"
},
"identifier": {
"legalName": "XALIENT HOLDINGS LIMITED"
},
"contactPoint": {
"name": "Darren Hogan",
"email": "darren.hogan@xalient.com",
"telephone": "+44 2070963100"
}
}
],
"language": "en",
"initiationType": "tender"
}Complete JSON history (2 releases)
13 Jun 2022 · 016177-2022 · tenderUpdate
{
"id": "016177-2022",
"tag": [
"tenderUpdate"
],
"date": "2022-06-13T16:07:12+01:00",
"ocid": "ocds-h6vhtk-03459f",
"buyer": {
"id": "GB-FTS-55247",
"name": "XALIENT HOLDINGS LIMITED"
},
"tender": {
"id": "ocds-h6vhtk-03459f",
"title": "Invitation for data scientists to support development of network and security product",
"amendments": [
{
"id": "1",
"description": "Quality\nQuality related criteria will be scored on the basis of the following scale:\n100%\tIn respect of each element of the Services identified in the question, the proposals fully explain how the relevant element will be delivered to the standards required, throughout the term.\nThe proposals are clear, precise and robust.\nThe explanation is sufficient to give a high degree of confidence that all of the relevant aspects of the specification will be delivered.\n80%\tIn respect of each element of the Services identified in the question, the proposals explain how the relevant element will be delivered to the standards required, throughout the term.\nThe proposals are clear, precise and robust.\nThe explanation is sufficient to give a high degree of confidence that the relevant aspects of the specification will, for the most part, be delivered. To the extent that the explanation is not sufficient to give that high degree of confidence, the explanation does not raise concerns.\n60%\tIn respect of each element of the Services identified in the question, the proposals explain, to some extent, how the relevant element will be delivered to the standards required, throughout the term.\nThe proposals are clear, but there are some concerns around precision and / or robustness. \nThe explanation is sufficient to give confidence that the relevant aspects of the specification will, for the most part, be delivered. To the extent that the explanation is not sufficient to give that confidence, the explanation raises one or more concerns but no material concerns.\n40%\tIn respect of each element of the Services identified in the question, the proposals explain, to some extent, how the relevant element will be delivered to the standards required, throughout the term, but for certain elements the explanation is very limited.\nThere are concerns around the clarity, and around the precision and / or robustness, of the proposals. \nThe explanation is sufficient to give confidence that the relevant aspects of the specification will be delivered to some extent. To the extent that the explanation is not sufficient to give that confidence, the explanation raises one or more concerns, one of which is a material concern.\n20%\tIn respect of one or more elements of the Services identified in the question, the proposals fail to explain to any extent how the relevant element will be delivered to the standards required, throughout the term; and / or the proposals are mainly or wholly unclear; and / or the explanation is insufficient to give confidence that the relevant aspects of the specification will be delivered and / or the explanation for any one or more of the elements raises multiple material concerns.\n0%\tNo response or response is irrelevant to the question asked.\nTo receive the response form for this tender please contact darren.hogan@xalient.com."
}
],
"legalBasis": {
"id": "32014L0024",
"scheme": "CELEX"
},
"description": "The core idea behind the innovation project is to develop our current innovation Martina (in Proof Of Concept (POC) currently), that uses artificial intelligence to predict, and in many cases remediate, network faults and security breaches before they occur to a standalone product. To achieve this, data scientists will be required to develop the models that create the relationships between network faults and cyber breaches.",
"classification": {
"id": "72000000",
"scheme": "CPV",
"description": "IT services: consulting, software development, Internet and support"
},
"mainProcurementCategory": "services"
},
"parties": [
{
"id": "GB-FTS-55247",
"name": "XALIENT HOLDINGS LIMITED",
"roles": [
"buyer"
],
"address": {
"region": "UKD34",
"locality": "ALTRINCHAM",
"postalCode": "WA142DT",
"countryName": "United Kingdom",
"streetAddress": "3rd Floor,1 Ashley Road"
},
"details": {
"url": "https://www.xalient.com"
},
"identifier": {
"legalName": "XALIENT HOLDINGS LIMITED"
},
"contactPoint": {
"name": "Darren Hogan",
"email": "darren.hogan@xalient.com",
"telephone": "+44 2070963100"
}
}
],
"language": "en",
"initiationType": "tender"
}13 Jun 2022 · 016122-2022 · tender
{
"id": "016122-2022",
"tag": [
"tender"
],
"date": "2022-06-13T11:58:36+01:00",
"ocid": "ocds-h6vhtk-03459f",
"buyer": {
"id": "GB-FTS-55247",
"name": "XALIENT HOLDINGS LIMITED"
},
"tender": {
"id": "ocds-h6vhtk-03459f",
"lots": [
{
"id": "1",
"status": "active",
"hasOptions": false,
"hasRenewal": false,
"description": "Further details of the requirements and scope will be provided on completion of a Non-Disclosure Agreement (NDA) agreed and signed by both Xalient and the applicant.\nWe require specialist data scientist expertise to support and drive our productisation of Martina.\nWe have identified the gap in skills to deliver bulk data transformation, building machine learning models at scale incorporating supervised learning and unsupervised learning, data trend analysis and data pattern correlation. These are specialist data science and big data skills that Xalient does not possess.\nThe specific knowledge and expertise of the data scientists will be used to design and build the data collection, data processing and machine learning functions of Martina, ready for full productisation in the selected cloud environment.\nOur product works based on a data collector to collect telemetry information and an \"AIOps Module\" to process and provide the machine learning functionality.\nWe have broken down the specification of the project into stages below. These stages form part of a larger productisation program to bring Martina to market - however the below stages represent the scope of tasks that are pertinent to this application. \n•\tData Collection - Inbound Integration Module - design and build\n•\tData Collection - ETL (Extract, Transform and Load) Process - Design and Build \n•\tData Collection - Outbound integration module\n•\tMachine Learning - Pre-Processing Module\n•\tMachine Learning - Machine Learning Module\n•\tMachine Learning - Data Correlation Module\nAs a result of our POC work, we feel that the skills required to fulfil the stages in this specification would mainly include:\n•\tPython programming\n•\tREST APIs\n•\tJSON\n•\tRelational Database Management System (RDBMS) - MySQL preferred\n•\tHTML, CSS, JavaScript\n•\tReact and Bootstrap\n•\tNode.js\n•\tFlask (Python)\nOur research and findings have led us to speculate the above skills are relevant, however applicants are permitted to submit alternative tooling or languages provided they are backed by demonstrable domain experience and relevance.\nOur goal is to take Martina to market in a \"production ready\" state. Applicants should detail how they will address the following aspects in their submissions:\n•\tScale - how will the solution scale effectively?\n•\tResiliency - how will the solution maintain service continuity in the event of any single discernible failure within the pertinent infrastructure and/or processes?\n•\tSupportability - post launch and \"go live\" of the solution, what documentation and/or support mechanisms will be provided and in what format to ensure a successful transition into BAU?",
"contractPeriod": {
"durationInDays": 180
},
"submissionTerms": {
"variantPolicy": "allowed"
}
}
],
"items": [
{
"id": "1",
"relatedLot": "1",
"deliveryAddresses": [
{
"region": "UKE"
}
]
}
],
"title": "Invitation for data scientists to support development of network and security product",
"value": {
"amount": 98000,
"currency": "GBP"
},
"status": "active",
"documents": [
{
"id": "technical",
"documentType": "technicalSelectionCriteria"
}
],
"bidOpening": {
"date": "2022-06-28T17:00:00+01:00"
},
"legalBasis": {
"id": "32014L0024",
"scheme": "CELEX"
},
"awardPeriod": {
"startDate": "2022-06-28T17:00:00+01:00"
},
"description": "The core idea behind the innovation project is to develop our current innovation Martina (in Proof Of Concept (POC) currently), that uses artificial intelligence to predict, and in many cases remediate, network faults and security breaches before they occur to a standalone product. To achieve this, data scientists will be required to develop the models that create the relationships between network faults and cyber breaches.",
"tenderPeriod": {
"endDate": "2022-06-27T17:00:00+01:00"
},
"hasRecurrence": false,
"classification": {
"id": "72000000",
"scheme": "CPV",
"description": "IT services: consulting, software development, Internet and support"
},
"submissionTerms": {
"languages": [
"en"
]
},
"submissionMethod": [
"electronicSubmission"
],
"procurementMethod": "open",
"mainProcurementCategory": "services",
"submissionMethodDetails": "https://www.gov.uk/contracts-finder",
"procurementMethodDetails": "Open procedure"
},
"parties": [
{
"id": "GB-FTS-55247",
"name": "XALIENT HOLDINGS LIMITED",
"roles": [
"buyer"
],
"address": {
"region": "UKD34",
"locality": "ALTRINCHAM",
"postalCode": "WA142DT",
"countryName": "United Kingdom",
"streetAddress": "3rd Floor,1 Ashley Road"
},
"details": {
"url": "https://www.xalient.com",
"classifications": [
{
"scheme": "TED_CA_TYPE",
"description": "Private Business SME"
},
{
"scheme": "COFOG",
"description": "Managed Services Provider"
}
]
},
"identifier": {
"legalName": "XALIENT HOLDINGS LIMITED"
},
"contactPoint": {
"url": "https://www.gov.uk/contracts-finder",
"name": "Darren Hogan",
"email": "darren.hogan@xalient.com",
"telephone": "+44 2070963100"
}
},
{
"id": "GB-FTS-55248",
"name": "Xalient",
"roles": [
"reviewBody"
],
"address": {
"locality": "Leeds",
"postalCode": "LS1 2AA",
"countryName": "United Kingdom",
"streetAddress": "East Parade"
},
"details": {
"url": "http://www.xalient.com"
},
"identifier": {
"legalName": "Xalient"
},
"contactPoint": {
"email": "darren.hogan@xalient.com",
"faxNumber": "+44 2070963100",
"telephone": "+44 2070963100"
}
}
],
"language": "en",
"initiationType": "tender"
}