IDB
Scenario
2027 · projected
IDB adopts CeibaQ as the MRV verification layer for a $200M Amazon biodiversity bond.
Multilateral capital · bonds underwritten on verified ground truth.
First product of AWAKEN · built for the Amazon
Ceibaq
CeibaQ is the Amazon's reference data layer — built by AWAKEN. We measure the rainforest directly (gas flux, eDNA, acoustics, LiDAR) and fuse two decades of ground data into verified ground truth: the data that carbon, biodiversity, accounting and disclosure standards all need but none can produce. We're not a standard — we're the ground truth that feeds every standard. Build it once, keep it live, and become the data layer no nature-finance player in the Amazon can operate without.
Founder intro · 60 seconds
The vision, in one minute
NatureData = CapitalQuantified nature, turned to capital.
Try
22
months operating
Aug 2024 – May 2026
$622K
already deployed
$150K founder + $472K expert
30+
Peru team
R&D base, Iquitos
Not a slide deck. AWAKEN built CeibaQ’s full institutional, legal and IP foundation over 22 months on founder capital. The raise activates an already-operational company — it doesn’t form one.
Who is building this
Talk to the founder →Leadership
Olha SytnykLima / Iquitos, Peru
Founder & CEO
15+ years in environmental projects · former forestry & ecological-policy advisor to Ukraine’s Office of the President · FORBES-recognised for environmental innovation.
Luis Carlos SilvaBrussels, Belgium
CFO
Financial & investment professional — fintech, alternative investments and startup finance.
Mariam MamedliSingapore
Chief Product Officer
13+ years in fintech & data intelligence · built quantitative data products and market-intelligence platforms.
Olena KovalKyiv, Ukraine
PR & Communications Lead
17+ years in PR, comms & journalism · led communications for national projects under Ukraine’s Ministries of Digital Transformation & Health.
Scientific & strategic advisors
Evgen Dykyi
Senior Scientific Advisor
Biologist · Head of the Ukrainian Antarctic Research Station.
Cisco Ramírez Arévalo
Scientific Advisor
Professor, UNAP (Peruvian Amazon) · forest engineer & biologist.
Carlos Loret de Mola
Fmr. Minister of Environment, Peru
Architect of Peru’s environmental governance; natural-capital authority.
Gustavo Suárez de Freitas
Forest-policy leader, Peru
Architect of Peru’s REDD+ framework; Amazon-governance authority.
Stefan Lees
Climate-finance advisor
Former key advisor to PROFONANPE · conservation finance at scale.
Héctor Soldi
Fmr. Vice-Minister of Fisheries, Peru
Senior public-sector & ocean-governance leader.
Funded by the raiseCTO · Senior MRV / commercial lead
Multi-credit by design
We're not a standard. We feed every standard.
CeibaQ ground truth is methodology-agnostic — we cross-mapped what our nodes measure to what each standard's methodology actually requires. One measurement; the data every framework below needs but none can produce.
Carbon & Article 6
Article 6.2Paris ITMOs
CORSIAaviation offsetting
Verra VCS · VM0048voluntary carbon
ART · TREESjurisdictional REDD+
ICVCM · CCPsintegrity principles
Biodiversity & accounting
SEEA-EAUN ecosystem accounting
TNFDnature-related disclosure
Biodiversity creditsemerging market
Forest & nature finance
TFFFtropical-forest facility
LEAF Coalitionjurisdictional demand
Nature-linked bondssovereign / MDB
Path to payment-gradeMeasure→Calibrate ROOT→Independent VVB validation→Standard-conformant outputs
85–90% automated data collection — the long-term trust backbone (roadmap)
The business model, in one glance
Measure once · update continuously · sell many.
A whole sensing system — nodes, drones, lab science and two decades of government data — feeds ROOT, the Amazon reference datamode. Built once on anchor sites and kept live, it is then monetised across five streams at near-zero marginal cost.
1Collect· ground truth
NEXUS intelligence nodes
Drone & LiDAR passes
eDNA · gas flux · acoustics
20 years of government data
ROOT
ROOT · reference datamode
built once · updated continuously
3Sell many· one dataset, 5 streams
S1Own credits
S2Monitoring-as-a-Service
S3Jurisdictional licence
S4Data-only subscription
S5Credit royalty
Measure once— the costly part is paid a single time
Update continuously— nodes keep the model live
Sell many— the same dataset, monetised again and again
Why this is a fund-returner
Why now
Nature is becoming an asset class — carbon, biodiversity, ecosystem accounting, nature-linked bonds. But today's proof is satellite guesswork, and the credibility gap is stalling capital. Whoever owns the verified ground truth owns the layer every instrument must cite. We are building it for the Amazon first.
Unit economics
75–90%
gross margin on repeat data sales
The data is collected and ROOT is built once. Every additional buyer of the same per-hectare dataset costs almost nothing to serve — near-zero marginal cost, compounding margin.
Revenue trajectory · base case
~$67M
revenue + EBITDA-positive by Y5
A J-curve: heavy early investment in ROOT, then high operating leverage as one dataset is sold many times.
Pre-seed return · modeled
~30×+
on the conservative base-case exit
Earliest, cheapest equity. The heavy science capex is designed to be carried by non-dilutive grant/MDB capital — so equity isn't diluted funding a flux tower.
The integrity premium
Direct measurement, not satellite proxy
CO₂ / flux
eddy-covariance
eDNA
environmental DNA
Acoustics
on-edge soundscape AI
LiDAR
drone canopy structure
Satellite proxy
Gas-flux + eDNA + acoustics + LiDAR, fused with 20 years of government data — an integrity premium commodity satellite data cannot match.
Addressable nature-data / MRV spend
$0.9–1.6B
global, today
$190–440M
in the Amazon
On a steep long-run curve as biodiversity and standing-forest finance scale.
Traction — in hand today
90,000 ha
owned concession · AWAKEN Management S.A.C.
MoUs & agreements across Peru · access
MINAMSERNANPSERFORGORELCCPIPTERI
- ▪Singapore Article 6.2 — NoI submitted
- ▪~20 years of government data (in-kind)
- ▪TERI science & validation layer
- ▪Complete product & financial model
The moat
Access, calibration and trust — years of local relationships to replicate. Direct-measurement integrity plus a data network effect: every node sharpens ROOT.
Conflict-free by design: independent VVBs verify our own credits; the neutral data layer is ring-fenced from credit-selling.
To build · ROOT (pre-seed → seed)
The ask
$600k
pre-seed SAFE · $4.5M cap
Builds a lean ROOT proof-of-concept on the owned concession · signs first paying data customers · stands up the conflict-free structure · files grant / Article-6.2 applications.
See the deal →CAM-01 · Canopy · LiDAR pass
RECSIM
The product, live
Query a deployed node
Biodiversity, carbon flux, micro-conditions and integrity — streamed from the forest floor, the way ROOT is fed.
Acoustic biodiversity
74
Species · 24h
41
CO₂ flux
-6.4 µmol
Disturbance · 7d
0
SIMULATION — illustrative; no node deployed yet.
How the data gets usedIllustrative scenarios
Verra
Scenario
2027 · projected
A Verra-registered REDD+ project licenses CeibaQ ground truth to defend credit integrity — and re-rates volumes.
Registries & developers · integrity premium on issued credits.
GOREL · Loreto
Scenario
2028 · projected
Loreto’s regional government licenses CeibaQ across a 2.5M-ha conservation network.
Jurisdictional licence · donor / MDB-funded, per hectare.
Singapore · Art. 6.2
Scenario
2028 · projected
A sovereign buyer sources Article 6.2 ITMOs verified on CeibaQ data.
Compliance demand · the standard a national buyer trusts.
Hypothetical illustrations of how CeibaQ ground truth could be used — not actual engagements, commitments or endorsements by the named organisations.
Pre-product, pre-revenue. Not-yet-built capabilities (notably ROOT) are shown as planned, not present. Financial figures are base-case model outputs, not promises. The node-telemetry view — including camera feeds — is a labelled simulation; no node is deployed yet. Documents and the query layer are scoped by access tier.