Meeting Prep · Generated 2026-07-07

Grup Nextclima

Marc Giné — Founder / CEO
Direct prospect — first discovery call HVAC / climate control Search Fund-acquired Catalonia, Spain
ICP: STRONG MATCH Search Fund-acquired, PE-backed, $10M+ revenue, 70 employees, Spain, brand-new CEO with a modernization mandate implied by the buy-and-build thesis. One of the cleanest fits in the pipeline — treat as a real qualification call, go in ready to name a first workflow.

Who Is Marc Giné

Current role
Founder, Terra Firma Capital → CEO, Grup Nextclima
Launched Terra Firma Capital as a personal search fund, validated a buy-and-build thesis in HVAC, and acquired Airnou + Termotur (~€10M) to form Nextclima. He is both the deal-doer and the operator now running the merged company.
Background
Ex-Samsung executive
Confirmed independently across 3 sources (Alimarket, Forbes España, Expansion.com/Threads): "exdirectivo de Samsung" — former Samsung executive. ❓ One search summary additionally claimed "10+ years in South Korea as head of corporate strategy for Samsung," but that specific detail could not be confirmed by directly fetching any of the 3 source articles — treat as unconfirmed, don't repeat it as fact on the call. LinkedIn profile itself is blocked from fetching (LinkedIn returns HTTP 999 to automated fetches) even with the direct URL you provided.
Investor backing
ONEtoOne AM, Istria Capital, Beka Alpha, Cabiedes & Partners + others
Search fund investor syndicate: ONEtoOne Asset Management, Istria Capital, Ethos Partners (now Orca Equity Partners), Beka Alpha/Beka Finance, Cabiedes & Partners, Turtle Capital, Secways, plus named angels Luis Camilleri and Xavier Pladellorens.
Contact
marc@grupnextclima.com
LinkedIn: linkedin.com/in/marc-giné (Granollers, Catalonia — matches Nextclima's home base). Page itself isn't fetchable by automated tools (LinkedIn blocks with HTTP 999), so title/tenure detail below is from search snippets, not a direct profile read. A "Managing Director at BlueBull" mention that surfaced twice in search results was checked directly against BlueBull's own team page — he is NOT listed there, so that detail is ruled out as a mismatch/different person, not Marc Giné.

What this tells us: he thinks like both an investor and an operator — he raised the capital, did the deal, and is now running the business day to day. He will respond to ROI/margin framing (investor instinct) as much as to "make my team's day easier" framing (operator instinct). He's also the first CEO of a just-merged entity — he has personal stake in proving the buy-and-build thesis works operationally, not just financially.

Company Snapshot

What they do
HVAC / climate control installation, maintenance & energy services
Formed by merging Airnou S.L. (1992, Granollers — industrial cooling, renewable energy, air treatment) and Termotur S.L. (1951, Pineda de Mar — energy management, environmental technologies).
Scale
~70 professionals · 5,000+ clients (Airnou alone)
40 technicians + 8 engineers. Presence in Barcelona, Tarragona, Girona. Combined revenue >€10M.
ERP / tech stack
❓ Unknown — verify directly
No ERP or software platform mentioned in any public source. Two merged companies of very different ages (1992 vs 1951) likely means two different (or no) systems of record today — ask directly.
Market position
Regional consolidator, buy-and-build in motion
Explicit plan (per Terra Firma Capital's public thesis) to keep acquiring HVAC companies with €2-10M revenue in Catalonia and beyond. This is Deal #1 of a stated roll-up strategy — expect more entities to integrate later.

Industry — Exact Classification

Main category
HVAC / M&E Building Services Contracting
Official CNAE 2009 code (Termotur registry): 4322 — "Fontanería, instalaciones de sistemas de calefacción y aire acondicionado" (Plumbing, heating and air-conditioning installation).
Subcategory — mixed, two skews
Airnou: industrial/commercial · Termotur: mixed residential+commercial
Airnou (own site copy): air conditioning, industrial refrigeration ("frío industrial"), ventilation, renewables, air treatment — explicitly "para todo tipo de espacios industriales y comerciales." Termotur (own site copy): AC, heating, gas, water, energy management for "viviendas, negocios, industriales, hostelería y colectividades" (homes, businesses, industrial, hospitality, condo/community associations).

What "trade/installation contractor" actually means: Nextclima doesn't manufacture anything, and doesn't hold inventory to resell the way a distributor does. It's the same commercial category as an electrician or plumber, scaled up — for HVAC. Revenue comes from three places: (1) design/engineering a system for a specific space, (2) labor to install it, (3) recurring maintenance contracts after. The equipment itself is a pass-through from real manufacturers. This is structurally different from Aronlight (owns and distributes its own electrical component catalogue) or Lamosa (tile distributor with fixed SKU inventory) — the "quote" here is closer to a construction/services estimate than a catalogue-SKU quote.

Who Do They Sell To — Segment Breakdown

Pulled directly from Airnou's and Termotur's own service pages. Ordered by likely ticket size, biggest first — this ordering is inference, not confirmed, ask directly on the call.

SegmentConcrete examples foundWho's the actual buyer
Industrial Warehouses, production zones, factories — VRF systems, rooftop units, chiller plants Facility/plant manager, or the factory owner directly
Hospitality / commercial Hotels (Termotur lists 5-star hotel projects), restaurants, beach clubs, gyms, shopping centers GM or ops director — sometimes a facilities company acting on their behalf
Community associations "Colectividades" / comunidades de propietarios — apartment buildings, condo complexes The building's administrator (a formal legal role in Spain) — a real B2B-shaped buyer even though the underlying asset is residential
Residential Individual homes The homeowner — B2C, smallest ticket

What Do They Exactly Sell

Install categories
AC · industrial refrigeration · heating · ventilation
Split, multi-split, VRF, rooftop; industrial refrigeration; heating; ventilation (ducts, HVLS fans); evaporative cooling; gas; water treatment; aerothermy/renewables.
Equipment brands installed (not their own)
Mitsubishi Electric, Daikin, Fujitsu General, Hitachi, Toshiba, Panasonic, Ciatesa, Clivet, Vaillant
They select and install third-party manufacturer equipment — they don't own a proprietary product line.
Engineering / design
"Oficina técnica" — sizing and specifying the system before install
Termotur's own copy: "estudiamos cada caso para recomendar la solución más eficiente" — "we study each case to recommend the most efficient solution." A company describing bespoke technical consulting, not catalogue sales.
Maintenance
SAT (technical support), preventive maintenance, 365-day emergency response
Termotur: emergency response 8am-8pm, 365 days. Plus equipment rental (Airnou only).

Is It B2B? — What We Know vs. What to Ask

MIXED B2B + B2C Public sources confirm both business and residential clients. No named client list or case studies found anywhere public — typical for a regional trade SME. B2B share is likely majority by revenue (industrial/commercial jobs are bigger tickets than home AC installs) but that's an assumption to confirm, not a fact.
QuestionWhat's knownWhat to ask
Do they have a B2B client base we could find? No client logos, no case studies, no named accounts anywhere public (checked both company sites + search). "5,000+ clientes" (Airnou) and "80% repeat rate" are the only volume signals. "Who are your 5-10 biggest accounts by revenue — hotels, factories, property managers?" Directly asking is faster than more web research here.
How do proposals/quotes reach clients? Public contact channels are email + website form only. No WhatsApp, no phone-first flow confirmed (may still exist informally — websites rarely list WhatsApp even when it's the real channel). "When a client wants a quote today, how does that request usually come in — a call, email, WhatsApp, a technician on-site noticing the need?"
Is there a dedicated sales force? No sales or account-manager roles found in any public bio/team listing — only Technical Directors and Financial Directors named. "Who actually writes and sends a quote once a request comes in — is that a salesperson, the technical director, or whoever's free?"
Is there a back office? ~70 people total (43 Airnou + 18 Termotur per employee-count filings), split between 40 technicians + 8 engineers. That leaves ~20 people unaccounted for — plausibly admin/back-office, but not confirmed. "How many people handle admin, quoting, and scheduling versus people out in the field?"
Do they have an ERP? Which one? ❓ No ERP, CRM, or software platform mentioned anywhere public for either Airnou or Termotur. "What do you use today to manage jobs, invoicing, and scheduling — a named system, or mostly Excel/paper/WhatsApp?" Ask separately for Airnou and Termotur — they may still be running two different systems post-merger.

Workflow Validation — Does Aronlight-Style Quote Gen + Order Entry Actually Fit?

Our live, working product is Aronlight's A2 (Inbound Request → Quote Generation): a distributor sends a free-text WhatsApp/email request referencing specific product codes, we match against an Odoo catalogue, and auto-generate a formatted proposal — plus A6 (Order Entry) once approved. That model assumes a catalogue of fixed, matchable SKUs and a repeat B2B requester (a distributor placing many similar orders).

Nextclima is a services contractor, not a catalogue distributor. The open question is whether their "quote" is (a) a fixed-catalogue transaction we can automate the same way (e.g., a standard split-AC unit + install, a fixed maintenance-contract renewal) or (b) a custom, site-visit-dependent estimate that varies every time (e.g., "retrofit this factory's cooling system") — which is a fundamentally different, harder problem A2 wasn't built for.

Theory-Stage Attribute Schema (a good guess, zero client data)

ai-system-guide's attribute-schema-bootstrap-playbook defines the discipline for this: "the explicit list of product characteristics the matching system is allowed to see and reason about." Any attribute not in the schema is invisible to the system — silently. It has a Theory stage — draft the schema on day 1, zero client data, purely from company info + industry priors — before any real ERP/catalog access exists. This is that draft for Nextclima.

Aronlight's schema is simple because Aronlight owns one catalogue with fixed SKUs (wattage, finish, size — all fields sitting in their own Odoo). Nextclima's is structurally harder: there is no single owned catalogue. The "product" gets assembled per-project from multiple manufacturers' spec sheets, and several deciding attributes can only be determined by a technician standing in the space — not extracted from a text message.

AttributeExtractable from a text/WhatsApp request?Where it'd actually come from
Client segment (industrial / hospitality / community / residential)Usually yesInferred from who's asking
Space type (nave, oficina, vivienda, habitación)Usually yesClient states it
Space size (m²/m³)SometimesClient may not know precisely
Application (confort AC, industrial refrigeration, heating, ventilation)Usually yesClient states it
Required capacity (kW / BTU / frigorías)RarelyNeeds a technical calc from size + insulation + use — this is the crux blocker
System configuration (split / multi-split / VRF / rooftop / chiller)RarelyEngineer decides, not the client
Brand preferenceSometimesClient may specify or defer to Nextclima's recommendation
Install complexity (vertical work, ducting, electrical capacity)NoRequires a site visit
Service tier (install-only vs. + maintenance contract)SometimesOften decided as a follow-up, not upfront

The bolded rows are why the site-visit-required fork below matters so much. For anything beyond the smallest residential jobs, roughly half the attributes needed to actually price the job cannot come from the inbound message at all. That's a fundamentally different automation shape than Aronlight's: there, the whole schema is extractable from the request and resolvable against one catalogue. Here, the realistic first win is more likely automating the intake and routing (structuring the request, flagging segment/application, getting it to the right engineer fast) than automating the quote generation itself — unless the call reveals a standardizable sub-segment (e.g. small residential/commercial split installs) where capacity and config really are near-fixed. Confirm this directly rather than guess further — see questions below.

Specific questions to validate A2/A6 fit directly on the call:

  1. "When a request comes in, is it usually for a standard product/service (e.g. a specific AC unit model, a standard maintenance contract) or does someone need to visit the site first to scope it before quoting?"Why: this is the single biggest fork. Site-visit-required = A2 doesn't apply as-is; standard-catalogue = it's a near-direct fit.
  2. "Roughly what share of your quotes are for a small, repeatable set of standard installs/services versus fully custom industrial jobs?"Why: even a partial share of standardizable requests (e.g. residential/small-commercial AC installs) could be a scoped first workflow, even if the industrial side stays manual.
  3. "Do you have a defined price list or catalogue for standard units/services today (a document, a spreadsheet, a system), or is every quote built from scratch?"Why: A2 needs something to match against — no catalogue means this needs to be built first, which changes scope and price.
  4. "How structured are the inbound requests — do people reference a specific unit/model, or describe the problem in free text ('my AC stopped working')?"Why: free-text problem descriptions need a different (probably B4-shaped) intake, not A2's catalogue-matching.
  5. "Once a quote is approved, what happens next — is there a separate step where the job gets scheduled and materials/parts get ordered?"Why: this is the A6 (order entry) equivalent — confirms whether there's a distinct, automatable order-entry step at all.

If this comes back low-priority (custom, site-visit-heavy, no real catalogue) — fallback hypotheses to have ready:

Pain Hypothesis

TierWorkflowWhy
MOST LIKELY After-Sales / Service Case Management (B4-shaped) ~70 field staff across 3 provinces handling maintenance/service calls almost certainly run through phone + WhatsApp + spreadsheets today.
MOST LIKELY The merger-integration friction itself Two companies (33 years apart in founding) just combined operations. Whatever back-office process hasn't been unified yet is a live, current pain — not hypothetical, and top-of-mind for the CEO right now.
SECONDARY Inbound Request → Quote Generation (A2-shaped) Installation/maintenance quote requests likely arrive via phone/WhatsApp/email and get manually turned into proposals — common in HVAC installer businesses.
LONGEST SHOT Maintenance Tracking (B2-shaped) Only relevant if they track installed client-side equipment (not just internal fleet/tools) — needs confirmation.

Must-Have Questions — Don't Leave the Call Without These

These aren't nice-to-know — every hypothesis in this doc above (segments, ERP, workflow fit) is currently a guess from public web research. These 6 answers are what turn the doc from theory into something scopable.
  1. "You've got ~70 people across the merged group — 40 technicians and 8 engineers is what I could piece together publicly. What's the actual breakdown, and what does everyone else do day to day?"Why: ~22 people are unaccounted for — could be back-office, sales, admin, warehouse. We don't actually know the org shape, only guessed it.
  2. "What do you use today to manage jobs, invoicing, and scheduling — do you have an ERP or any system of record, or is it mostly Excel/paper/WhatsApp?"Why: must-have. This is the single most load-bearing fact for scoping any integration and it's currently a total unknown for both entities.
  3. "What's actually different between how Airnou and Termotur operate — different specialties, different client types, or just different geography for the same service?"Why: they read as near-identical HVAC installers from outside. We don't know if they're complementary or functionally redundant post-merger — changes how "unifying the back office" gets scoped.
  4. "Just to confirm — you don't manufacture any of your own equipment, and you don't hold distributor inventory to resell, right? Everything's sourced per-project from brands like Daikin, Mitsubishi, etc.?"Why: this is our own inference from the CNAE code and public service pages — confirm it directly instead of assuming it.
  5. "Roughly what's the split of your work between new installation, system design/engineering, and ongoing maintenance — by revenue or by people's time?"Why: determines where the real pain concentrates. Mostly maintenance → B4 is even more clearly right. Mostly new installs → quoting/design intake matters more.
  6. "Which of your client segments — industrial, hospitality, community associations, residential — is actually biggest by revenue, and roughly how big is the industrial piece specifically?"Why: the segment ordering in this doc is inferred from service-page emphasis, not confirmed. Industrial size matters most since that's the closest match to our other proof points.

5 Opening Discovery Questions

  1. "What problem did you have in mind when you reached out?"Why: always start here — let him name the pain before any module gets pitched.
  2. "You just brought Airnou and Termotur together — what's been the hardest part of merging how the two teams actually run day to day?"Why: the merger-integration angle is the freshest, most concrete pain available and shows you did the homework on the deal.
  3. "Walk me through what happens today when a client calls in with a service or maintenance issue — who picks it up, how does it get tracked?"Why: directly tests the B4 hypothesis without presupposing it.
  4. "How does a new installation or maintenance job get quoted right now — is that on paper, Excel, WhatsApp, something else?"Why: tests the A2 hypothesis and surfaces the current tool stack.
  5. "You mentioned this is deal #1 of a broader roll-up plan — how are you thinking about building systems that scale as you add more companies, versus just fixing what Airnou/Termotur have today?"Why: surfaces whether he wants a platform investment (bigger, multi-entity opportunity) or a point fix — changes how you frame scope and pricing.

Module-Specific Follow-Up Questions

Decision Tree

Tech Stack Analysis

No ERP or software platform is publicly known for either Airnou or Termotur. Two companies of very different vintages (1992 and 1951) merged recently — expect either two disconnected legacy systems, heavy Excel/WhatsApp reliance, or both. This needs direct confirmation on the call; don't assume an ERP exists.

Key message regardless of what's found: "We don't replace what you have — we sit between your team and whatever system of record you end up standardizing on."

Red Flags

What to Bring

After the Meeting

Run /client-intake immediately with confirmed pains and exact quotes. If a workflow gets confirmed and the fit feels bounded, run /pricing-workflow nextclima before any follow-up proposal. Given the roll-up strategy, also flag internally whether this could become a multi-entity platform account over time — worth tracking even if the first deal is single-workflow.

AdapttoAI · Meeting Prep · Internal, confidential