Private infrastructure
Hosting and data access scoped to your requirements.
Conceptual infrastructure, not a NexWerk facility.
01 / PRIVATE INFRASTRUCTURE
Your own AI. Under your control.
Personal and private LLMs, secure AI workflows and business websites. Built for organisations worldwide and local businesses across Europe and the USA.
Hosting and data access scoped to your requirements.
Personal LLMs, domain adaptation and representative evaluation.
Security testing, human approvals and documented recovery.
NEXWERK / SERVICES
Your knowledge, workflows and deployment requirements, with controlled access.
Model adaptation and evaluation for your domain and real business tasks.
Test boundaries, constrain tools and keep consequential decisions accountable.
Business websites for restaurants, supermarkets and local services across Europe and the USA.
SECTOR FOCUS / WORLDWIDE
Capability is only half the challenge. The other half is deciding what AI can access, what it can do, and when a person must take control. NexWerk brings these questions into the design of every model and workflow.
Document processing, research knowledge retrieval and administrative support, with sensitive-data boundaries and clinician review for care-related outputs.
Discuss healthcare AI →Maintenance knowledge, logistics coordination, training support and defensive cybersecurity. Human authority and traceable decisions remain central.
Discuss defence support →Multilingual citizen information, policy search and case-document workflows. Design around access controls, source references and accountable public-sector review.
Discuss government AI →Sector focus areas for new engagements. Deployment scope, local requirements and validation are agreed for each programme.
TRAIN / EVALUATE / CONTROL
From domain adaptation to operational safeguards, our approach connects model quality with the controls needed to use it responsibly.
Training-data preparation, domain fine-tuning and multilingual evaluation. Define data rights, quality criteria and a measurable baseline before adapting a model.
Evaluate prompt injection, sensitive-data leakage and unsafe tool use. Test adversarial inputs and regressions against the actual deployment context.
Scoped permissions, approval checkpoints, execution limits and audit trails. Give operators a clear way to review, pause and revoke agent actions.
Plan on-premises or private-cloud architectures around data residency, model access, monitoring and the organisation's operating requirements.
AI proposes. Your policies set the limits. People approve consequential actions, review the record and can stop execution.
Sensitive actions go to an authorised reviewer. Approved execution is logged, and operators can suspend access. Evaluation continues after deployment; a guardrail is never a promise of perfect safety.
Each stage is connected, traceable and designed around the systems your team already uses.
Bring technical drawings, supplier emails and quote requests into one structured queue.
Read incoming documents, validate required fields and create a traceable record.
Check inventory, customer context and margin rules against ERP and CRM data.
Route high-value decisions and exceptions to the right person with full context.
Dispatch the quote, update connected systems and retain a complete audit trail.
We focus exclusively on measurable business outcomes, replacing repetitive manual tasks with structured AI systems.
Custom agents that parse incoming documents, route leads, monitor operational data, and sync with your internal ERP/CRM tools.
Learn about AI Agents →Multi-step workflow pipelines built on n8n, Make, and cloud infrastructure to eliminate admin overhead in operations, RFQs, and reporting.
Explore Automation →Optimization for search engines and AI generative engines (ChatGPT, Perplexity, Claude) to ensure your business is cited and discovered.
See Search Systems →Every automation incorporates deterministic rules, model reasoning, and human checkpoints with explicit review and escalation criteria.
Inbound customer requests, PDF bid specifications, ERP webhooks, and email inquiries automatically enter our secure staging queue.
Our specialized agent parses technical PDF specifications, extracts line item volumes, and matches part numbers against internal database catalogs.
High-value quotes or ambiguous data trigger a structured approval card to your team's Slack or Teams channel before any action executes.
Upon confirmation, the agent updates HubSpot CRM, logs the ERP transaction, generates a formal PDF quote, and alerts sales managers.
Automate client onboarding, meeting briefing notes, proposal drafting, and project status tracking across your team.
Streamline RFQ processing, supplier communications, parts catalog lookups, and shift handoff logs.
Explore Industrial AI →Multilingual buyer communication bots, document extraction for shipping/customs, and automated inquiry routing.
NexWerk agents operate natively within your existing ERPs, CRMs, databases, and communication channels via secure API webhooks.
Automated stock reservation, part lookup, and invoice creation.
Instant lead enrichment, deal stage updates, and proposal logging.
Signal Amber 1-click human approvals and escalation notifications.
Private EU-hosted RAG embeddings for CAD and spec retrieval.
Each engagement begins with a measurable baseline and an agreed target for cycle time, data quality or workload reduction.
Input: Technical procurement emails, attachments and customer requirements.
Designed outcome: A validated quote draft with exceptions routed to a human reviewer.
View Details →Input: Unstructured client briefs arriving across email, forms and shared folders.
Designed outcome: Structured work items with source references and reviewable field extraction.
View Details →Input: Product knowledge distributed across catalogues, webpages and internal documents.
Designed outcome: A structured, crawlable knowledge layer built for search and answer engines.
View Details →Deep-dive audit of your current tech stack, operational bottlenecks, and ROI potential.
Rapid 1-week sandbox build of the core agent or pipeline to prove feasibility.
Deployment into production with your existing CRM, database, Slack, or email tools.
Quantify time saved, error reduction, and operational velocity over 30 days.
Continuous model tuning, prompt optimization, and expanded agent capabilities.
Data access, retention and hosting requirements are defined before deployment.
We scope private endpoints, retention settings and provider training terms for each deployment. Sensitive data is shared only under agreed processing arrangements.
EU hosting and data residency can be scoped to project requirements. Processor locations, contracts and access controls are reviewed before implementation.
API keys and credentials stored encrypted; agents operate only on designated channels and folders with strict rate limiting.
We work primarily with small-to-medium enterprises (SMEs), industrial operations, consultancies, and B2B trade companies in Europe and North America looking to automate manual back-office tasks.
Initial working prototypes are delivered in 1 to 2 weeks. Full production integration, testing, and team onboarding typically take 3 to 4 weeks depending on workflow complexity.
No. We build integrations directly into the tools your team already uses (Google Workspace, Slack, Notion, Hubspot, or custom webhooks) and provide ongoing maintenance support.
Yes. We map the systems you already use, connect available APIs and databases, and place controlled review steps around older tools that cannot be automated directly.
Book a 30-minute discovery call to evaluate your workflows and map out immediate automation quick wins.