NEXIAL INTELLIGENCE
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Scoped Intelligence Configurator

Define your intelligence scope

Each report is assembled on-demand against your scope — sector, entities, and the convergence markers you care about. No dashboards to learn. No generic databases. Output in 2–4 weeks.

01 REGION / GEOGRAPHY
Multi-select. Defines the entity universe.
Europe
North America
MENA / GCC
APAC
Global
02 INDUSTRY / SECTOR
Single select for pilot scope. Two sectors have pre-assembled samples; for others the nearest sample is shown and your pilot is scoped on the intake call.
Climate & Deep Techsample available
Fintech Infrastructuresample available (GCC)
AI Infrastructurepilot only
Defense Techpilot only
Health / Biotechpilot only
03 ENTITY FOCUS
Which entities the map is built around.
Private companies
Investors / co-investment networks
Universities / IP feeders
Corporates & CVC
04 CONVERGENCE MARKERS
The patterns we detect for you. Each marker is a combination of independent signals — never a single alert. Grounding rule: a marker is only reported when backed by ≥2 verifiable data points.
M1

Pre-Raise Buildout

Senior engineering hiring spike + patent density growth, no announced round → raise forming. Lead ~4–8 mo.

M2

Infrastructure Pivot

Positioning shift + partnership clustering around one layer + enablement capital → product becoming infrastructure.

M3

Cluster Formation

N funds co-investing in M startups of one sub-segment within window T → sub-sector forming before it's named.

M4

Stealth Scale / IPO-prep

Infra expansion + geographic hiring spread + compliance hires → quiet expansion before announcements.

M5

IP Feeder

University co-authorship + shared board advisors with startups → hidden innovation pipeline, next spin-outs.

M6

Quiet Exit / Distress

Executive departures + hiring freeze + narrative cooling → weakening before the news. Portfolio risk alert.

M7

Regulatory Pre-Positioning

Reg-consultation participation + compliance hiring across a sector → barrier forming; moat for the prepared.

AUTO

Recommend for me

We select the marker set with the highest signal density for your sector during scoping.

05 SIGNAL SOURCES OPTIONAL
Default: all layers relevant to selected markers.
Hiring & org
Patents & research
Funding & capital
Narrative & forums
Regulatory
06 DELIVERY FORMAT
PDF report (regular)
Hosted interactive view
Structured DB export
07 CADENCE
One-off landscape
Continuous monitoring (retainer)
Sample is illustrative. Your report is assembled against your scope.
Assembling scoped sample
Ingest & connect
Entity linking companies · investors · universities · people
Signal convergence
Ranked output clusters · watchlist · markers
This sample opens instantly — it is pre-assembled. A client engagement runs this pipeline against live sources and delivers in 2–4 weeks, inside your perimeter (incl. on-prem). No always-on infrastructure.
← Edit scope
Ecosystem Intelligence Report

Climate & Deep Tech — Europe

SAMPLE — YOUR REPORT COVERS YOUR SECTOR

01 Ranked opportunity clusters

Convergence score = Σ(signal weight × recency decay × source reliability) × temporal alignment bonus. Leading signals outweigh lagging ones.

84

Industrial Heat Decarbonization

Capital, deployment and hiring signals moving in the same window. Anchored by verifiable public rounds — see marker M3 below.

FORMING · M1 M3 ACTIVE
76

Electrolyzer Component Supply Chain

Under-labeled layer beneath the hydrogen narrative: membranes, catalysts, stack tooling. University-fed IP pipeline detected.

EARLY · M5 ACTIVE
71

Grid-Edge Orchestration Software

Enabling layer for both clusters above. Capital concentration lags asset-layer investment — see white spaces.

WHITE-SPACE ADJACENT · M4 ACTIVE

02 Watchlist — ranked entities

Entities marked † are fictional composites built to demonstrate output structure. In a client report every row is a real entity linked to its full signal history.

EntityScoreMarkers90-day momentumConfidence
ThermoVault Energy †Thermal storage · industrial heat · DE 87 M1 ▲ accelerating CONFIRMED
HelioForge †Solar-thermal process heat · ES 81 M3 — stable EMERGING
Nordwind Grid †Grid-edge orchestration software · DK 78 M4 ▲ accelerating EMERGING
Elektra Materials †Electrolyzer membranes · CH 74 M5 M1 ▲ building CONFIRMED
CarbonKilde †Point-source capture · NO 69 M3 — stable EMERGING
PolarWatt Systems †HV interconnect hardware · SE 66 M4 ▼ slowing EMERGING
GreenSpan Analytics †MRV / carbon accounting software · NL 61 M3 M7 — stable HYPOTHESIS
Company F (anonymized)Battery recycling · FR · RISK FLAG 44 M6 ▼ deteriorating HYPOTHESIS

† fictional composite entity — any resemblance to real organizations is coincidental. Distress-flagged entities are anonymized even in client reports until independently confirmed.

03 Detected convergence markers

Every marker is grounded in ≥2 independent data points, listed below each card. No sources — no marker. Cards are ordered by evidence strength, not by marker number. One marker in this sample (M3) is built entirely on verifiable public data you can check yourself.

M3

Cluster Formation (early stage) — High-Temperature Thermal Storage

VERIFIABLE · PUBLIC DATAEMERGING
Capital · 3 independent rounds, same sub-segment, 2023→2026 Strategic capital · corporate energy & industrial VCs converging Execution · first commercial-scale deployments, 2025 Policy · EU clean-heat funding mechanism live

Corporate energy and industrial capital entered high-temperature thermal storage through three independent rounds in 2023–2026: Kraftblock’s Series B carried a six-investor syndicate led by Shell Ventures with Finindus (ArcelorMittal) and TechEnergy Ventures; ENERGYNEST took €110M from Infracapital; Exergy3 raised a seed led by Axeleo Capital. Strategics whose parents buy industrial heat are funding the storage layer that serves it. Assessment: thematic capital concentration — the early stage of cluster formation. The full M3 signature (the same investors recurring across several companies of the sub-segment) is not yet visible in public data: what is public is one multi-investor syndicate plus two separate deals. Mapping that syndicate-graph overlap is precisely what a client engagement does — which is why this card is held at Emerging, not Confirmed.

Detection lead time
thematic pattern visible from the Aug 2023 syndicate — ~18 months before 2025 deployment headlines
Recommended action
The asset layer is now priced. Map the still-unfunded enabling layers around it — orchestration software, heat offtake MRV (see white spaces).
Grounding — verifiable public data points
  • Kraftblock (DE) Series B ~€20M, Aug 2023 — led by Shell Ventures with Finindus, TechEnergy Ventures, A&G Energy Transition Tech Fund, Future Industry Ventures · techenergyventures.com
  • ENERGYNEST (NO) — €110M investment agreed with Infracapital; 2025: 3 MWe / 12 MWh ThermalBattery power-to-heat system commissioned at the KURZ site in Sulzbach-Rosenberg (DE) · energy-storage.news, enerdata.net
  • Exergy3 (UK) — €11.4M seed, Apr 2026, led by Axeleo Capital with Bayern Kapital, Kibo Invest · eu-startups.com
  • Cumulative equity funding of European energy-storage startups: €2.14B (Avnet Silica analysis of Crunchbase data, as of Sept 2025), ~47% of it raised over the last three years · ess-news.com
Why this card is different: every data point above is public and checkable. This is the grounding standard applied to all markers in a client report. Entities are named for verifiability only — no affiliation or non-public information is implied.
M1

Pre-Raise Buildout — ThermoVault Energy †

CONFIRMED
Talent · senior eng hiring well above 12-mo baseline IP · filing density rising in one storage subfield Capital · no announced round in 19 months

Senior engineering hiring spiked against the company's own 12-month baseline while patent density in a narrow thermal-storage subfield accelerated — with no announced funding event. The combination matches the pre-raise buildout pattern. Assessment: a Series B is forming.

Estimated lead time
5–7 months before round announcement
Recommended action
Initiate contact now — before price and syndicate form. Prepare thesis on industrial heat storage economics.
Grounding — data points (illustrative structure)
  • 14 senior engineering roles posted over 90 days vs baseline of 3–4 · careers page + job-board delta
  • 6 patent applications in one storage subfield within 120 days · patent filings index
  • Last disclosed round: seed, 19 months ago; no follow-on recorded · funding registries cross-check
M5

IP Feeder — university lab → electrolyzer startups †

CONFIRMED
Research · co-authorship density, PEM catalysis group Graph · shared board advisor across 3 startups IP · assignment transfers university → spin-outs

One university lab (PEM catalysis) connects to three venture-backed electrolyzer companies through co-authorship and a shared board advisor. Two IP assignments transferred from the university to spin-outs in 14 months. Assessment: a hidden innovation pipeline — the next spin-out is likely already forming inside the lab.

Estimated lead time
12–18 months before spin-out becomes visible
Recommended action
Track the lab's grant activity and PhD departures; establish relationship with the TTO before formation.
Grounding — data points (illustrative structure)
  • 17 co-authored papers linking lab members to founders of 3 startups · publication graph
  • Same individual on advisory boards of 3 peer companies · registry filings, board data
  • 2 patent reassignments university → startup entities · assignment records
M4

Stealth Scale — Nordwind Grid †

EMERGING
Digital · infra expansion, 3 new cloud regions Talent · hiring opened in 3 new geographies Org · first compliance & regulatory-affairs hires

Infrastructure footprint expanded into three new regions while hiring opened in the UK, Poland and Iberia — led by go-to-market and regulatory-affairs roles, not engineering. Assessment: quiet multi-market expansion ahead of any announcement.

Estimated lead time
4–6 months before public expansion news
Recommended action
Re-price the segment: incumbent orchestration players face a funded, expanding entrant. Assess partnership vs compete posture.
Grounding — data points (illustrative structure)
  • DNS/CDN + status-page footprint: 3 new deployment regions · digital layer scan
  • 9 roles posted across UK/PL/ES incl. Head of Regulatory Affairs · hiring layer
M7

Regulatory Pre-Positioning — battery recycling compliance barrier

EMERGING
Regulatory · EU battery-passport consultation activity Talent · compliance hiring across 4 of 6 tracked recyclers

Consultation activity around battery-passport enforcement is rising while compliance hiring appears across four of six tracked recyclers — before any enforcement deadline is public. Assessment: a compliance barrier is forming within 9–12 months — a moat for prepared players, a cost shock for the rest.

Estimated lead time
9–12 months before barrier materializes
Recommended action
Reweight exposure: favor recyclers already hiring compliance functions; discount those that are not.
Grounding — data points (illustrative structure)
  • Consultation responses filed by sector participants · regulatory layer
  • Compliance/regulatory-affairs roles opened at 4 of 6 tracked companies · hiring layer
M6

Quiet Exit / Distress — Company F (anonymized)

HYPOTHESIS
Org · CTO + VP Ops departures, 60 days apart Talent · open roles −85% vs 6-mo average Narrative · forum sentiment cooling, delivery complaints

Two executive departures within 60 days, hiring effectively frozen, and cooling sentiment in niche industry forums referencing delivery delays. Signals are individually weak; the temporal alignment is what raises the flag. Assessment: deterioration risk before any public news. Held at Hypothesis tier — forum-weighted evidence. Entity anonymized by policy until independently confirmed.

Estimated lead time
3–6 months before public distress signals
Recommended action
If exposed: request updated financials at next board cycle. If not: monitor as potential distressed-asset entry.
Grounding — data points (illustrative structure)
  • CTO and VP Operations profile changes, no announced successors · people-mobility layer
  • Open roles: 2 vs 6-month average of 13 · hiring layer
  • Negative delivery mentions in 3 independent forum threads · narrative layer (weak source class)

04 Ecosystem network view

Simplified extract of the full graph. Every edge carries a timestamp and a confidence value. Hover nodes for detail. Node names †fictional except where marked.

Company Investor University Risk investment co-investment IP feeder risk exposure
Fund A† — 3 cluster investments, 2 co-invest edges Fund A† Fund B† — 3 cluster investments Fund B† Fund C† — 2 cluster investments Fund C† Fund D† — 2 cluster investments · exposure to Company F Fund D† ThermoVault Energy† — M1 Pre-Raise Buildout · score 87 ThermoVault†M1 · 87 HelioForge† — M3 cluster member · score 81 HelioForge†M3 · 81 Nordwind Grid† — M4 Stealth Scale · score 78 Nordwind Grid† Elektra Materials† — M5 IP Feeder target · score 74 Elektra Materials† CarbonKilde† — M3 cluster member · score 69 CarbonKilde† Company F (anonymized) — M6 risk flag · score 44 Company F ⚠ University Lab 1† — PEM catalysis group · IP feeder to 3 startups Univ. Lab 1† University Lab 2† — secondary research feeder Univ. Lab 2†

05 White spaces & early warnings

Where capital has not yet concentrated — and where structural barriers are forming.

WHITE SPACE

Grid-edge orchestration for industrial heat

Capital concentrates in the asset layer (storage, generation — now including the verifiable rounds in marker M3) while the enabling software layer lags, even as offtake contracts increasingly require dynamic load orchestration. One funded player tracked — the segment supports 3–4.

WHITE SPACE

MRV for industrial heat offtake

"Heat offtake verification" narrative rising in niche forums and policy papers; no dedicated funded player identified in 12 months. Adjacent MRV incumbents positioned to extend — or be displaced by a spin-out.

EARLY WARNING

Regulatory barrier forming in battery recycling

See marker M7: consultation activity plus compliance hiring across 4 of 6 tracked recyclers indicates a compliance barrier within 9–12 months. Reweight exposure accordingly.

Delivery
PDF report Hosted view Structured DB

This is a sample. Your report is assembled against your scope and delivered inside your perimeter — on-prem or private cloud. Your data never leaves your environment.

06 Let's build your intelligence layer

The sample ends here — your report starts with a scoping call. Tell us who you are; your configured scope is attached automatically.

We usually respond within 1–2 business days. Prototype behavior: opens a pre-filled email draft to solutions@nexial-intelligence.com — the production version submits directly.

METHODOLOGY · Convergence score = Σ(signal_weight × recency_decay × source_reliability) × temporal_alignment_bonus. Confidence tiers: CONFIRMED = 2+ independent recent sources · EMERGING = 1 strong + supporting weak signals · HYPOTHESIS = weak/forum-class sources only. Grounding rule: markers without ≥2 verifiable data points are not reported — a selected marker with no qualifying convergence is shown as "none detected", never fabricated. Entities marked † are fictional composites; entities marked "anonymized" reference real analysis subjects whose identity is withheld. Public entities are named only with public, checkable sources. Provenance flags (VERIFIABLE · PUBLIC DATA, FROM A REAL NEXIAL ANALYSIS) describe the source class of a card’s evidence; they are orthogonal to — and do not replace — confidence tiers.