Custom bolt-on
One capability added to a system you already run: a RAG service, an AI agent, an API or an integration.
SuitsA team with one workflow to fix.
Custom AI / AI engineering and delivery
Your build partner
Custom AI builds AI software to your specification, deployed where your data lives, starting with one workflow.
From Manchester, UK, to wherever your data lives.
- Full AI platforms
- RAG for Finance
- Custom-built RAG
- Unified knowledge layer
- Ontologies
- Knowledge graphs
- AI agents
- Workflow orchestration
- Backend APIs
- Enterprise integration
- Document intelligence
- IoT analytics
- Digital twins
Where we come in
The problems companies bring us now, and what we sell to fix them.
AI agents that fail in production
We bound what each AI agent may do and route consequential actions to a person, so it survives real workflows.
Production-grade AI agentsAI agents rolled back after an incident
A signed, versioned record of what each AI agent may do, already live in Nucleus One.
AI governance and controlsRAG that answers wrong
RAG tested against an evaluation set built from your own documents, with the source behind every answer.
RAG accuracy and evaluationData that is not ready
Your systems connected and records enriched before any model runs, with source systems kept authoritative.
Data foundations and integrationNot enough AI engineers
Our forward deployed engineers work inside your organisation, building on your data until the problem is solved.
Forward deployed engineersNowhere safe to run it
Private models and applications, hosted in the UK, EU or US, in your cloud or on-premises, run by us.
Private models and hosting
What we build, to your specification
From a specific engineering task to a complete application, we provide AI consultancy and software development tailored to your requirements. Work with us directly or bring us into an existing project to support your team.
- 01
Custom AI software and platforms
AI applications, software components and multi-workflow platforms, from application architecture and backend development to data models, integrations and deployment.
- 02
Custom-built RAG
RAG architectures tailored to your documents and data, combining retrieval pipelines, semantic and hybrid search with generative AI, source-grounded responses and evaluation.
- 03
Unified knowledge layer
Integrate structured and unstructured data across databases, document stores and enterprise applications, providing a shared foundation for retrieval, analytics and AI systems.
- 04
Ontologies and knowledge graphs
Ontology design, semantic modelling and knowledge graphs that represent business entities, relationships and constraints, connecting information across systems and datasets.
- 05
AI agents and automation
AI agents and multi-step workflow orchestration, integrating LLMs, tool calling, APIs and business rules to automate tasks and coordinate processes across applications.
- 06
Document and contract intelligence
Document ingestion, classification, OCR and structured extraction of fields, tables, clauses and obligations, integrated with review workflows and downstream systems.
- 07
Backend APIs and integration
Backend services, REST APIs and custom connectors that integrate databases, document platforms, ERP, CRM and third-party applications into existing software systems.
- 08
IoT analytics and digital twins
Industrial data integration, IoT analytics and digital modelling using PLC, SCADA, historian and MES data for equipment monitoring, process analysis and digital twin applications.
- 09
AI governance and controls
Access permissions, tool restrictions, approval workflows, monitoring and audit logging to control how AI applications and agents interact with data and business systems.
Built. Deployed. Running in production.Our capabilities are grounded in working systems, developed and deployed across client projects and our own AI platforms.
What we have already built
Consumer brand
How a leading consumer brand achieved inventory optimisation and reduced maintenance downtime
Inventory tracking was revolutionised through QR, RFID, and real-time analytics, boosting accuracy by 95%, shrinking maintenance delays by 60%, and enabling leaders to make data-driven decisions with 25% greater confidence.
95%Inventory AccuracyManufacturingHow a tyre manufacturer achieved energy efficiency, emissions reduction and better environmental compliance
AI-driven IoT analytics optimised operations for a leading tyre manufacturer, cutting energy use by 15%, reducing breakdowns by 20%, and lowering carbon emissions by 10%, driving smarter, sustainable production.
15%Energy savingsAutomotive radarHow an automotive radar manufacturer achieved automated inspections and reduction in production delays
AI-powered visual inspection revolutionised automotive manufacturing by cutting inspection time by 90%, reducing product returns by 70%, and ensuring faster, more accurate, and consistent quality control across production lines.
90%Reduction in inspection timeTelecomsHow a subsidiary of a leading telecom company enhanced network planning and forecast
A telecommunications provider overhauled its network planning using AI-powered demand forecasting and capacity optimisation, cutting congestion by 15%, boosting forecast accuracy 20%, and reducing customer churn by 10%.
15%Reduction in network congestionTelecomsHow a leading subsidiary of a telecom company reduced network downtime and fault resolution delays
A telecom provider slashed network downtime by 30%, sped up fault resolution by 25%, and improved network stability by 20% using real-time fibre health monitoring with predictive analytics.
30%Reduction in network downtimeDocumentsReference build
Document Intelligence
Retrieval, extraction, classification and analysis, turning static files into structured, actionable intelligence.
Document intelligenceData foundations
View buildContractsReference build
Contract Intelligence
Clause extraction, risk scoring and structured summaries, giving legal and procurement teams instant clarity.
Contracts and complianceDocument intelligence
View buildKnowledgeReference build
Enterprise Knowledge Hub
A centralised AI knowledge assistant that gives staff instant, policy-grounded answers and eliminates guesswork. Optimised for public, government and critical sectors.
Knowledge, search and RAGData foundations
View buildProcurementReference build
Enterprise Bid Hub
Automate tender evaluation, proposal generation and knowledge indexing, bringing speed and consistency to procurement.
Document intelligenceEnterprise operations
View buildPeople operationsReference build
HR Copilot
An HR assistant that retrieves policies, automates approvals, allocates resources by skill, manages staff and screens CVs, all with full audit control.
Knowledge, search and RAGAgentic AI and automation
View build- 92%
- Reduction in document reading and data entry timeFinance
- 48%
- Error reduction versus manual data entry in case management systemsFinance
- 380%
- Increase in the volume of document processing per FTEFinance/Public sector
- 8,000
- Hours saved in document and email processing versus RPAPublic sector
- 90%
- Reduction in inspection timeManufacturing
- 70%
- Reduction in product returnsManufacturing
- 15%
- Energy savingsManufacturing
- 30%
- Reduction in network downtimeTelecoms
- 20%
- Improvement in forecast accuracyTelecoms
- 95%
- Inventory accuracyConsumer goods
Figures from our earlier builds.
Start small, or build the platform
Choose the shape of the work. Every one follows the same route.
Modules for your platform
Modules built to your specification and standards, for a platform your own team runs.
SuitsOrganisations with their own engineering function.
Full product
A complete product: designed, built, run with you, scaled on evidence and handed over.
SuitsA business that wants the whole thing, and owns the code.
Forward deployed engineers
Two to four senior engineers embed in your organisation and build on your data and systems until the problem is solved, then hand over. We scale the team as the work needs.
SuitsOrganisations with more AI work than engineers.
Private models and hosting
Open-weight or commercial models on private endpoints, hosted in the UK, EU or US, your cloud or on-premises, run by us. Your data trains nothing unless you decide it should.
SuitsOrganisations whose data cannot leave their control.
Consultancy, systems integrator or technology provider? We take bounded specialist work on your engagements, under your brand and in your tools: a proof of concept, an integration, an evaluation, an AI agent your team cannot staff this month. We can usually start within two weeks; day rates are agreed on the call.
Partner with usAssess. Prove. Build.
Three stages. You decide at each one.
Assess
Workflow and baseline- 01
Find the workflow
One process worth improving and measuring.
- 02
Walk through the reference build
The closest reference build, working, and what changes for you.
- 03
Establish the baseline
How it works today, and where time, cost, error or risk sits.
You leave withA baseline, a decision to proceed or stop, and a roadmap for what follows.
Prove
Proof of concept- 04
Demonstrate
Your own data run through the system. Two to four weeks, depending on scope.
You leave withA working system, tested against your baseline.
Build
Production and integration- 05
Define integration and controls
Systems, access, approval points, evaluation measures and deployment agreed.
- 06
Deploy and measure
A bounded scope first, measured against the baseline, extended on evidence.
You leave withAI in production, measured and governed.
Built for production, governed by design
We choose the architecture, deployment and level of authority to suit each workflow, not a fixed stack.
Connect your systems
Document stores, databases, ERP, CRM and APIs connected, with source systems kept authoritative.
The right context
RAG where answers come from documents; ontologies and knowledge graphs where connected context is needed.
Bounded authority
Limits enforced through access, validation and tool restrictions, not prompts alone, so consequential actions reach a person.
Your deployment model
Managed cloud, private cloud or on-premises, with single sign-on, role-based access and audit logging.
Works with
- ERP
- CRM
- MES
- SCADA
- PLCs
- Data historians
- Document stores
- Databases
- Case systems
- APIs
- OPC UA
- MQTT
What buyers ask before they start
Answers to the questions we hear first.
How long does a proof of concept take?
Two to four weeks, depending on scope. Production follows once the integrations and controls are defined, and we agree that timeline with you after the proof of concept.
Where will my data be stored and processed?
We deploy solutions based on your specific requirements: on your own servers, nationally-located data centres, private cloud, or public cloud infrastructure. Where data is stored and processed follows your security, governance, and jurisdictional requirements.
Who owns the code and the intellectual property?
You do. We build for your specific problem, so the code, models and intellectual property we create for you are yours. Our model is build, operate, scale and transfer: we build it, run it with you, scale it on evidence and hand it over to your team.
How are projects priced?
On the introductory call, once we know the scope. Work ranges from a single bolt-on to a full product, so we size the price to the work and agree it in writing before anything starts.
How soon will I receive a response?
Within one working day, from a relevant domain expert.
Start a design partnership
Tell us about one workflow.
Three fields. We reply with a first call on the workflow, the baseline and the systems involved.