Looking up through an old-growth Douglas fir canopy, light filtering between trunks

The oldest network on earth. Now with enterprise support.

The cloud was always underground.

Understory provides enterprise compute infrastructure built on living mycorrhizal networks. Distributed. Redundant. Carbon-negative. Unhurried.

Network nodes
847 million
estimated
Substrate
73 acres
Pacific Northwest
Average query latency
We'll get to that
see §03
Understory Network: Nominal
§01The Science

Established, peer-reviewed, and older than every company that has ever cited it.

In 1997, Dr. Suzanne Simard of the University of British Columbia published research demonstrating that Douglas fir trees share carbon, water, and chemical signals through underground mycorrhizal fungal networks — networks of remarkable complexity, redundancy, and — by the standards of what was then understood about plants — intentionality.

Subsequent research has documented electrical signaling between plants, volatile organic compound communication across root systems, and distributed resource allocation behaviors that have no adequate explanation outside of networked information exchange.

Understory did not invent this network. We did not design it. We did not patent it, though we looked into this and it raised questions we ultimately decided not to pursue.

We simply asked: what happens if you use it?

  1. 1. Simard, S.W. et al. (1997). Net transfer of carbon between ectomycorrhizal tree species in the field. Nature 388, 579–582.
  2. 2. Babikova, Z. et al. (2013). Underground signals carried through common mycelial networks warn neighbouring plants of aphid attack. Ecology Letters 16(7), 835–843.
  3. 3. Gorzelak, M.A. et al. (2015). Inter-plant communication through mycorrhizal networks mediates complex adaptive behaviour in plant communities. AoB Plants 7, plv050.
Macro photograph of white mycelial filaments threading through dark forest soil with faint blue-green luminescence at junctions
Fig. 2 — Substrate sample, sector 4. Junction density at this depth exceeds 11,000 connection points per cubic metre.
§02The Architecture

Five layers. One of them is 800 years old.

CANOPY LAYER — EDGE INTERFACE / IP67CONDUCTION LAYER — 1–3 CM S⁻¹SUBSTRATE LAYER — 847M CONNECTION POINTSDEEP NETWORK — REDUNDANT ROOT PATHWAYSRETURN
Fig. 1 — Query path, ingestion to return. Simplified. No two queries follow the same route.
L1

The Canopy Layer

Above-ground hardware interfaces — solar-powered edge nodes embedded in tree bark at 2-meter intervals, translating digital inputs into chemical and electrical signals for network ingestion. Weatherproof to IP67. Maintained by our arborist infrastructure team.

L2

The Conduction Layer

The vascular systems of enrolled trees, through which electrical signals propagate between canopy interfaces and the fungal substrate below. Signal velocity: 1–3cm per second. We are aware of how this sounds. Please continue reading.

L3

The Substrate Layer

73 acres of old-growth mycorrhizal network, the functional core of Understory's compute infrastructure. An estimated 847 million fungal connection points, each capable of participating in distributed signal processing. No two queries follow the same path. The network self-routes. We did not program this behavior. It was already there.

L4

The Deep Network

Root system connections between enrolled trees, providing redundant signal pathways and what our research team describes, carefully, as 'something that functions analogously to memory' in long-tenured network nodes.

† We use the word 'analogously' deliberately and on the advice of counsel.

L5

The Return Layer

Chemical gradient outputs translated back to digital signals at the canopy interface nodes. This is where your query result emerges. This is the part that takes a while.

Cross-section of forest soil showing tree root systems interlaced with pale fungal networks
Fig. 3 — Deep network cross-section, enrollment site 12. Redundant pathways visible at 40–90cm depth.
§03Latency

About the latency.

Understory's average query return time is 22–37 days, depending on season, precipitation, soil temperature, and what the network appears to be prioritizing, which we monitor but do not control.

We understand that this is not what enterprise clients are accustomed to.

We would like to offer some context.

  1. 2010

    A single algorithmic trading system executed 4.2 billion orders in 36 minutes and temporarily erased $1 trillion in market value. The system was operating at microsecond latency. It was, by conventional infrastructure standards, performing perfectly.

  2. 2016

    A recommendation algorithm optimized for engagement began serving content that researchers would later link to measurable increases in political radicalization across seventeen countries. It was returning results in under 200 milliseconds.

  3. 2021

    A financial model running on sub-millisecond infrastructure approved 1.7 million fraudulent loan applications before a human reviewer noticed something was wrong.

Understory has never experienced any of these events.

Understory has never experienced any of these events because in the time it would take our network to process and return a single query, a human being has had 22 to 37 days to reconsider whether they wanted the answer.

We do not claim this is a technological advantage. We claim it is a different relationship with time. We believe, and our clients increasingly agree, that some problems benefit from infrastructure that cannot be rushed.

~800 years
Uptime, to date
0
Recorded outages
0
Patches applied
0
Deployments rolled back

We find this compelling. We think you might too.

§04Workloads

What you actually run on a forest.

Long-Horizon Modeling

Climate projections, actuarial analysis, infrastructure planning, geological survey synthesis. Work where the answer in six weeks is not only acceptable but, given the complexity of the problem, preferable to an answer in six milliseconds that is confidently wrong.

Distributed Consensus Problems

The mycorrhizal network's native architecture is inherently consensus-based — resources are allocated through a process of network-wide negotiation that has no single point of failure and no central authority. For distributed ledger applications, conflict resolution modeling, and multi-party computational problems, Understory's substrate is natively suited in ways that silicon is not.

Pattern Recognition At Scale

The network has been recognizing patterns — seasonal, chemical, biological — for centuries. We are still characterizing its full capabilities in this area. Early results are, and we use this word carefully, surprising.

Archival And Cold Storage

Data encoded in chemical gradients within the fungal substrate exhibits extraordinary stability. We have successfully retrieved test encodings after 14 months with full integrity. The forest, it appears, remembers things.

Anything That Can Wait

If your workload is not time-sensitive, Understory offers unmatched sustainability credentials, zero electricity consumption, and a processing environment that your sustainability report will struggle to adequately describe. We can help you write that section if needed.

Understory is not recommended for: real-time applications, financial trading infrastructure, emergency response systems, anything where the query result is needed before the next board meeting, or applications where microsecond latency is a stated requirement. We say this not as a limitation but as a compatibility consideration.

§05Service Level Agreement

The Seasonal SLA.

Understory's performance varies by season. We disclose this fully, in advance, as a condition of all enterprise agreements.

Spring

Peak
March – May

Peak network performance. New mycelial growth increases connection density by an estimated 34%. Query complexity ceiling: highest of the year.

Recommended for: Computationally intensive workloads.

Summer

Stable
June – August

Stable, high-performance period. Network fully expressed. Canopy cover reduces edge node solar input by 12% but thermal stability improves substrate performance.

Recommended for: Standard enterprise workloads.

Autumn

Transition
September – November

Transition period. Deciduous network participants entering dormancy. Understory's substrate includes 71% coniferous enrollment specifically to maintain winter performance, but autumn represents measurable throughput reduction. Average latency increase: 8–11 days.

Recommended for: Lower-complexity queries, archival operations.

Winter

Reduced
December – February

Reduced capacity period. The network is operational. The network has been operational every winter for approximately 800 years and we have no reason to believe this will change. Throughput is reduced. Average latency: 45–60 days.

Recommended for: Long-horizon archival, cold storage retrieval, queries where a Q1 return is acceptable.

Understory clients are advised to plan computational workloads seasonally. We provide an annual workload calendar at onboarding. Many clients report that this practice, while initially unfamiliar, has improved their internal planning processes in ways unrelated to compute infrastructure.

Understory has one client who submits their quarterly board preparation materials in summer for return in autumn. They describe this as "the best strategic planning process we've ever had." We think about this often.

Old-growth forest floor with moss-covered nurse logs and low fog
§06Sustainability

Understory's compute infrastructure is a forest.

It sequesters carbon.

It provides habitat for 340 documented species.

It does not require cooling infrastructure because it is a forest and forests have been managing their own temperature for longer than cooling infrastructure has existed.

It runs on photosynthesis.

Understory's Scope 1, 2, and 3 emissions are negative. Not net-zero. Negative. The forest is actively removing carbon from the atmosphere while processing your data.

We are not aware of another cloud provider who can say this. We have looked.

Our sustainability report is 4 pages long. Three of those pages are photographs of the forest. The fourth page contains our emissions figures. The emissions figures are, as noted, negative. We felt three pages of photographs was appropriate context for a negative number.

§07The Team

Chief Executive

15 years in distributed systems infrastructure. Read Simard's 'Finding the Mother Tree' in 2021. Did not sleep for three days afterward. Founded Understory four months later.

Chief Mycologist

PhD, fungal ecology, Oregon State. Previously: forest service research. Joined Understory skeptically. Has not expressed skepticism in approximately 18 months.

VP of Infrastructure

Former AWS principal engineer. Manages the canopy node hardware, the edge translation systems, and his ongoing psychological adjustment to a job where 'the network is acting unusual' sometimes means 'there are more elk than normal in sector 7.'

Head of Arborist Operations

Oversees the health, maintenance, and enrollment of the 847-acre substrate. Has more opinions about soil pH than anyone else at the company. Is correct to have them.

Chief Science Officer

Leads Understory's ongoing research into network capabilities, signal characterization, and what the team has taken to calling, informally and without full scientific consensus, 'the memory question.'

Head of Client Services

Manages client relationships, workload scheduling, and the quarterly seasonal planning calendars. Previously managed a hospital's ICU scheduling system. Says this is harder. We believe her.

§08The Portfolio

Client case studies.

Infrastructure modeling · 18-month engagement

A Regional Government Planning Department

Submitted 340 variables related to a 50-year regional transportation infrastructure model. Returned in 31 days with pattern analysis that, per the client, 'identified three interdependencies our team had missed in six months of conventional modeling.' Client renewed. Is currently submitting their climate adaptation framework.

Distributed consensus modeling

A University Research Consortium

Used Understory's substrate to model resource-allocation consensus behaviors across a 12-institution research network. Results returned in 28 days. Lead researcher noted that the network's output 'suggested a resource-sharing structure we would not have arrived at independently.' The structure has been implemented. We have no explanation for why the forest knew.

Long-horizon risk modeling

A Mid-Size Insurance Actuarial Department

Submitted 70-year climate-adjusted actuarial models in April. Received return in June. CFO described the results as 'the most considered analysis we have ever received from any vendor.' We note that 'considered' is doing significant work in that sentence and we appreciate it.

Real-time financial application · engagement terminated

[CLIENT NAME WITHHELD]

A fintech client submitted a high-frequency trading optimization query in November. We attempted to explain the latency parameters at onboarding. The query was returned in February. The client had by then implemented a different solution. We refunded their deposit. We wish them well. We continue to believe this was a compatibility issue rather than a product failure.

§09The Research

Understory's infrastructure generates research as a byproduct of operation.

We did not plan this. It happened because operating a fungal network as compute substrate requires more rigorous ongoing measurement of that network than has previously existed anywhere.

We submit findings to peer review as they mature. We have had two papers accepted. We have had one paper rejected with a reviewer comment that read, in full: "This cannot be happening." We are preparing a response.

  • 01

    Novel signal propagation pathways not previously described in the literature.

  • 02

    What appears to be preferential routing behavior for queries submitted during periods of high soil moisture.

  • 03

    A consistent and unexplained increase in network activity in the 72 hours following query submission that our mycologist describes as 'the network considering the problem,' a phrase she used once, informally, and has since refused to repeat.

  • 04

    Something in the deep network that our instruments can detect but not yet characterize, which we are calling Project Understory Interior until we have a better name for it.

§10Pricing

Understory Substrate Access

$2,400
per query unit

Standard access, seasonal SLA, full network substrate, query return in 22–60 days depending on season and complexity.

Enquire

Understory Reserve

$8,900
per month

Dedicated substrate allocation, priority network access (average latency reduction: 4–6 days), seasonal planning consultation, dedicated arborist liaison.

Enquire

Understory Enterprise

Custom
annual partnership

Full substrate partnership, co-located edge node installation, research data access, named enrollment in the network's old-growth anchor trees.

Your company's name will be associated with a specific Mother Tree in the network. This is partly ceremonial. It is also, based on what we are observing, possibly more than that. We are not ready to say more than that.

Enquire

Understory does not offer real-time pricing tiers, usage-based billing, or millisecond-increment compute pricing. We bill quarterly. The forest does not do burst capacity.

§11Frequently Asked
Is this real?
Yes. The science is real. The forest is real. The compute is real. The latency is real. We understand the question.
What happens to my data inside the network?
Your query is translated into chemical and electrical signals, propagated through the mycorrhizal substrate, processed through the network's distributed architecture, and returned as a digital output at the canopy layer. What happens in between is, at present, not fully characterized. We are working on it. The network appears uninterested in helping us characterize it.
Is my data secure?
Your data exists, inside the network, as chemical gradients in a fungal substrate in a forest in the Pacific Northwest. We consider this reasonably secure. We are not aware of any threat actor with the capability to intercept a mycorrhizal signal. We are open to being surprised.
What if the forest burns down?
Understory maintains a full substrate backup in a secondary forest location 340 miles north. Failover time: approximately one season. We take fire risk seriously. We have relationships with three Indigenous land management organizations whose traditional ecological knowledge informs our fire risk protocols. This is the most important partnership we have.
Can I visit the datacenter?
Yes. We offer quarterly substrate tours for enterprise clients. Dress for the weather. The datacenter does not have a parking structure.
Has the forest ever returned a wrong answer?
We do not yet have sufficient ground truth on complex query outputs to answer this definitively. We can say that in two cases, the network's output diverged significantly from our internal modeling team's expected result, and in both cases, subsequent events suggested the network was correct. We are still thinking about this.
Does the forest know what it's doing?
We have a policy of not answering this question.
§12Enquiries

Request a consultation.

Consultations are scheduled within five business days. Onboarding includes a seasonal workload calendar and, if you would like it, a site visit. Dress for the weather.