AI copilot for R&D
Build a research copilot for technical papers, project notes and company documents, with source references and checks against your team’s real questions.
R&D COPILOT
AI and software engineering: research copilots, document processing, workflow automation, business integrations, local infrastructure and ongoing operation.
Build a research copilot for technical papers, project notes and company documents, with source references and checks against your team’s real questions.
Plan AI around the work your company needs to improve: assess data, prioritize use cases and define the software, integrations and ownership required.
Connect documents, inboxes, CRM and ERP with AI workflows that handle approvals, duplicate requests, failed steps and operational handover.
Work with engineers who learn your process, build the software and connect it to your systems, from a working prototype to deployment and handover.
Run company AI with clear owners, access rules, cost monitoring, quality checks and a plan for incidents, model changes and ongoing support.
Map AI data sources, access, retention, suppliers and approvals. Build the technical controls and evidence your privacy and legal specialists need.
Prepare AI inventories, intended-use records, transparency measures and oversight evidence for specialist AI Act assessment and implementation.
Prepare NIS2 technical work around your sector, systems and suppliers: security controls, incident processes, evidence and accountable owners.
Prepare software and connected products for CRA review with component mapping, secure updates, vulnerability handling and technical documentation.
Choose EU-hosted or self-hosted AI around your workload, data flows, model connections, logs, backups and the team responsible for running it.
Prepare privacy controls for AI: identify necessary personal data, limit access and retention, and document providers for specialist review.
Connect business systems with clear approvals, reliable handoffs and a toolset chosen for your process.
Build company AI agents for defined jobs, with approved tools, shared context, permissions, review steps and visibility into each run.
Turn useful team procedures into a shared AI skills library with examples, approved sources, review criteria and a process for updates.
Organize product facts, customer insights and approved brand material so marketing teams can produce briefs and drafts with traceable sources.
Make useful website content accessible to search and AI tools with structured sources, clear metadata, working links and tested error recovery.
Assess local AI against your documents, tasks and users. Compare model fit, memory, latency, retrieval, privacy boundaries and operating costs.
Build local AI infrastructure with model serving, retrieval, access controls, monitoring, backups and integration into the tools your team uses.
Build document workflows for scans, PDFs and tables with field validation, page references, exception review and connections to business systems.
Strategy, publishing, product visuals, SEO, search and social advertising, AI visibility and sales enablement.