Companies
For organisations that want to sponsor a lab around AI, net zero, health, logistics, responsible technology, skills or local innovation.
Sponsor Pathway · University Net Zero Lab Pathway
Companies, investors and public-sector sponsors often want to work with universities but lack a clear pathway from strategic interest to practical demonstrator.
Lab Pathway creates that bridge: a structured intake for defining the challenge, selecting the lab theme, mapping stakeholders, setting evidence boundaries and producing a governed showcase, budget pathway and deployment-ready project brief.
Positioning
University-hosted · research-informed · sponsor-backed · KATLAS-governed
HostUniversity innovation programme host
Education partnerEducation partner, where appointed
Technology supplierKATLAS / Cierge Labs
KATLAS is the governed workflow technology and consultancy supplier — not an insurer, broker, MGA, underwriter, regulated adviser, lab owner or official sponsor.
Who this is for
For organisations that want to sponsor a lab around AI, net zero, health, logistics, responsible technology, skills or local innovation.
For institutions that want to offer industry-facing innovation labs with credible governance, student participation and research outputs.
For sponsors who want a clearer route from theme selection to evidence-led funding decisions.
For responsible leadership and education partners (where appointed) who need a repeatable model to take into universities and executive networks.
Explore pathways
Lab Pathway is whitelabel. Each mode applies the same custody, authority and receipt discipline to a different sponsor conversation — net zero, responsible technology adoption, or emerging-risk / specialty-insurance innovation.
Mode · default
A whitelabel pathway that turns a sponsor-backed net-zero theme into a governed synthetic demonstrator, stakeholder & evidence map, validation pathway and deployment-ready project brief.
Active pathway
Mode · responsible technology
A whitelabel pathway for education and adoption partners helping leaders move from executive AI ambition to governed playgrounds, demonstrators, budget cases and responsible deployment.
Open this pathway →
Mode · emerging risk
Explore how emerging risks, new technologies and specialty-insurance workflows can be turned into governed synthetic demonstrators, evidence boundaries, thought-leadership outputs and pilot pathways.
Open this pathway →
No insurer, market, accelerator, university or sponsor endorsement is implied unless explicitly approved. KATLAS supplies governed workflow technology and consultancy.
Pathway from idea to project
Every Lab Pathway moves an imagined AI use case along the same arc — from opportunity through synthetic playground to deployable evidence. Each stage sits inside a stated custody, authority and receipt boundary.
Sponsor describes the opportunity, challenge or imagined AI use case.
University, education partners and KATLAS help turn the idea into a practical operating context.
The lab defines AI-use boundaries, data boundaries, evidence ownership and authority gates.
A synthetic scenario is built so stakeholders can safely test the workflow.
The lab produces receipts, validation notes, stakeholder maps and risk/evidence summaries.
The sponsor receives an indicative route for funding, cadence, effort, outputs and next-stage delivery.
The pathway can move toward pilot, whitepaper, student project, sponsored research or live integration.
Example advisory text only · No live LLM · No real business data · No automated decision-making
The sponsor journey
Sponsor selects a challenge area: net zero, AI governance, population health, sustainable logistics, high-street resilience, circular economy, skills or responsible technology adoption.
The lab turns the broad theme into a focused sponsor question. Example: “How could local food-system businesses reduce energy cost, waste and emissions without centralising sensitive business data?”
University host, sponsor, SMEs, academic validators, student contributors, education partners (where appointed) and KATLAS/Cierge workflow governance.
Define who holds evidence, who may approve action, what AI may suggest and what must remain withheld.
Create a governed walkthrough, synthetic scenario, stakeholder map, sample receipt and validation pathway.
The sponsor receives a lab brief, evidence map, demonstrator receipt, whitepaper outline and recommended next-stage pilot pathway.
Sponsor intake
This intake captures sponsor intent — not operational data. The lab uses synthetic-first scenarios before any sensitive information is considered.
Safety rule
No live LLM. Any AI-style suggestions in the lab are deterministic, pre-written example text. No real business, energy, waste, health or wearable data is collected here.
Why governed playgrounds matter
It can recommend, coordinate and pursue goals across multiple steps — but organisations still need to know who controls the evidence, who may approve action, and what proof exists afterwards. Lab Pathway gives sponsors a way to explore agentic AI without jumping straight to live data, live systems or uncontrolled automation.
Explore bold use cases without exposing real operational data.
AI may suggest pathways, but authorised roles decide.
Each lab produces artefacts that help sponsors decide what to fund, test or deploy next.
What a sponsor receives
Sponsor challenge brief
Stakeholder and evidence-boundary map
AI-use boundary
Governed workflow walkthrough
Public-safe demonstrator receipt
Academic validation note outline
Student project brief
Whitepaper outline
Pilot pathway recommendation