HekOne
Physical intelligence platform turning real-world operations into measurable data for agriculture, retail, and supply chain.
Website: https://hekone.com/
Open sources
| Name | HekOne |
| Tagline | Physical intelligence platform turning real-world operations into measurable data for agriculture, retail, and supply chain. [HekOne, retrieved 2026] |
| Headquarters | Merced, California |
| Founded | 2025 |
| Stage | Pre-Seed |
| Business Model | Hardware + Software |
| Industry | Agtech |
| Technology | Hardware |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
| Funding Label | Pre-Seed |
Links
Open sources
- Website: https://hekone.com/
- LinkedIn: https://www.linkedin.com/company/hekone
What an Investor Needs First
Open sources HekOne is an early-stage venture building a hardware-software platform to instrument physical operations, a bet that the data gap in agriculture and other hands-on industries represents a tangible, if challenging, opportunity for investors with deep tech and field deployment expertise [HekOne, retrieved 2026]. Founded in August 2025 by mechanical engineer Shahriyar Hekmat, the company is headquartered in Merced, California, and is associated with the UC Merced Venture Lab, positioning it within a regional agtech ecosystem [Shahriyar Hekmat, LinkedIn, retrieved 2026] [UC Merced Venture Lab, retrieved 2026]. Its initial product, HEKONE Origin, targets agricultural harvesting, aiming to track bin weight, location, and fill progress in real time, with a commercial model combining hardware sales, a software subscription, and ongoing analytics support [HekOne Origin presentation, retrieved 2026]. The founder's background in mechanical design, manufacturing, and thermal engineering provides a relevant technical foundation for developing physical sensing systems, though the solo founder structure and lack of disclosed funding or sales add significant execution risk [Shahriyar Hekmat, LinkedIn, retrieved 2026]. Over the next 12-18 months, the critical watchpoints are the conversion of its announced limited initial deployments with California growers into paid, referenceable customer relationships, and the securing of its first institutional capital to fund hardware inventory and team expansion beyond the current 1-10 employee count [Shahriyar Hekmat, LinkedIn, July 2026] [LinkedIn company profile, retrieved 2026].
Verified against public records -- Confirmed by company website, founder LinkedIn, and third-party event listing.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | Hardware + Software |
| Industry / Vertical | Agtech |
| Technology Type | Hardware |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
| Funding | Pre-Seed |
Inside the Company
Open sources
HekOne is a physical intelligence startup founded in August 2025 by Shahriyar Hekmat, operating from its headquarters in Merced, California [Shahriyar Hekmat, LinkedIn][HekOne]. The company's formation is closely tied to the University of California, Merced ecosystem, where Hekmat serves as a PhD advisor in the Mechanical Engineering department and the company is associated with the UC Merced Venture Lab [VISTA][UC Merced Venture Lab]. This academic and research connection provides a foundational context for the venture's deep-tech hardware focus.
Key operational milestones have unfolded in a compressed timeline. Following its founding, the company's first publicly detailed product, HEKONE Origin, was presented in mid-2026. In July 2026, the founder announced the company was accepting a limited number of initial deployments with California growers [Shahriyar Hekmat, LinkedIn, July 2026]. This was followed by a public presentation of the hardware-plus-software business model at the 1 Million Cups Sacramento event in August 2026 [StartupSac, August 2026]. The company's website and product pages were updated in September 2026, further detailing the platform vision [HekOne, September 2026].
As of late 2026, the company's public footprint indicates a team size of 1-10 employees [LinkedIn]. No legal entity name or state registration details are disclosed in the available public sources. The chronological narrative is one of a very early-stage company moving from concept to initial pilot outreach within its first year of operation.
Partially corroborated -- Key dates and founder background are confirmed via LinkedIn and company materials, but legal entity and incorporation details are not publicly available.
Under the Hood
Reported and inferred
HekOne's public positioning centers on a hardware-plus-software platform designed to instrument physical operations. The company describes its offering as a "physical intelligence platform" that converts real-world activity into structured, measurable data for operational visibility and decision support [HekOne, retrieved 2026]. The initial commercial wedge is HEKONE Origin, a system built for agricultural harvesting that tracks bin weight, location, fill progress, and harvest activity in real time [HEKONE Origin, retrieved 2026]. A separate use case presented on the company's website illustrates a smart dispenser instrumentation, suggesting the underlying platform is intended to be adaptable to other physical workflows in retail and supply chain [Smart Dispenser Instrumentation Example, retrieved 2026].
The commercial model combines a hardware sale with a recurring software subscription and ongoing support [HekOne Origin presentation, retrieved 2026]. As of July 2026, the company was accepting a limited number of initial deployments with California growers for the Origin system, indicating the product is in a pilot or early commercial phase [Shahriyar Hekmat, LinkedIn, July 2026]. The technology stack is not detailed, but the founder's background in mechanical engineering and the product's focus on integrated sensing and edge computing suggest a reliance on custom hardware sensors, edge data processing, and cloud analytics [Shahriyar Hekmat, LinkedIn].
Verified against public records -- Product claims and commercial model are confirmed by the company's own materials and founder statements.
Market Research
Open sources
The market for operational intelligence in physical industries is being reshaped by a convergence of labor constraints, supply chain volatility, and the need for precise yield data, creating a clear opening for hardware-enabled data platforms. HekOne's initial focus on agricultural harvesting sits at the intersection of several well-documented trends, though the company's own market-sizing claims are not publicly disclosed.
Demand drivers for agricultural monitoring tools are substantial. The agricultural sector faces persistent labor shortages, which increase the cost of manual oversight and create a need for automated operational tracking [USDA, 2025]. Concurrently, growers are under pressure to maximize yield and resource efficiency, driving adoption of precision agriculture technologies that can provide granular, real-time data on field operations [McKinsey & Company, 2025]. The push for supply chain traceability, from field to consumer, further incentivizes the digitization of harvest and logistics data, a trend accelerated by retailer and regulatory demands for provenance [World Economic Forum, 2025].
For context, the broader precision agriculture market, which includes hardware, software, and services for farm data management, was valued at approximately $9.5 billion in 2024 and is projected to grow at a compound annual rate of 12.8% through 2030, according to a third-party analyst report [Grand View Research, 2025]. While HekOne's specific SAM,harvest operations monitoring for specialty crops in California,is a narrower segment, its platform ambition points toward adjacent multi-billion dollar markets in retail inventory intelligence and industrial supply chain visibility.
Key regulatory and macro forces are largely tailwinds. California's Sustainable Groundwater Management Act (SGMA) continues to compel farmers to document water use and crop yields with greater accuracy, potentially increasing the value of systems that automate such data collection [California Department of Water Resources, 2025]. On a macro level, inflation in input costs (fertilizer, fuel) and commodity price swings increase the operational use gained from reducing waste and optimizing harvest logistics, making capital expenditures on efficiency tools more justifiable.
| Metric | Value |
|---|---|
| Precision Agriculture Market (2024) | 9.5 $B |
| Projected CAGR (2024-2030) | 12.8 % |
The cited growth rate for the analogous precision agriculture market underscores a sustained investment cycle in farm technology, but HekOne's success will depend on capturing a niche within this crowded landscape. The company's potential expansion into retail and supply chain represents a logical, though challenging, adjacency given the common need to instrument physical interactions.
Partially corroborated -- Market sizing and growth rates are drawn from a single third-party analyst report for an analogous, broader market. Demand drivers are supported by multiple public sector and consultancy reports.
Competition and Substitutes
Reported and inferred HekOne enters a market defined by established hardware incumbents in agriculture and a growing number of software-centric challengers, positioning its physical intelligence platform as a bridge between the two.
With no named competitors surfaced in public sources, the landscape must be constructed from adjacent categories. The primary competitive map for HEKONE Origin, the agricultural harvesting system, divides into three segments.
- Incumbent hardware and fleet management. Companies like John Deere (through its JDLink telematics) and Trimble (with its Ag Software platform) provide integrated hardware and data services for large-scale farm operations [John Deere, 2025] [Trimble, 2025]. These are comprehensive, capital-intensive solutions that are deeply embedded in existing customer workflows.
- Software-first farm management platforms. Challengers such as Granular (owned by Corteva), Farmers Edge, and Climate FieldView focus on data aggregation and analytics, often relying on third-party hardware or farmer-input data [Corteva, 2025] [Climate FieldView, 2025]. Their strength is in decision support across the entire growing cycle, not necessarily real-time operational tracking of discrete physical events.
- Specialized harvest monitoring and logistics. A narrower set of companies targets the specific harvest moment. For example, HarvestMark (now part of iFoodDS) focuses on traceability and quality data post-harvest [iFoodDS, 2025], while startups like Croptracker offer harvest management software that often requires manual data entry. The gap HekOne aims to fill is automated, real-time instrumentation of the harvest activity itself.
For HekOne's broader platform ambition in retail and supply chain, the competitive set shifts to providers of IoT sensor networks and operational intelligence, such as Samsara for fleet and industrial operations or Honeywell for building and retail analytics [Samsara, 2025] [Honeywell, 2025]. These are large, general-purpose platforms with significant sales and integration resources.
HekOne's stated defensible edge rests on its integrated hardware-software stack built specifically for converting physical interactions into structured operational data [HekOne, retrieved 2026]. The founder's background in mechanical design and thermal engineering suggests a potential technical edge in sensor packaging and edge computing for harsh environments, a perishable advantage if the team cannot scale [Shahriyar Hekmat, LinkedIn, retrieved 2026]. The company's early focus on a single, deep use case (harvest bin tracking) could allow it to build a proprietary dataset on harvest efficiency, which would be a durable asset if it leads to superior predictive analytics. However, with no public customer deployments, this data moat remains theoretical.
The company's most significant exposure is its lack of distribution. It does not own a dealer network like the major agricultural OEMs, nor does it have the brand recognition and sales force of a software-first platform. Competing on product specificity alone risks being outspent on sales and marketing by larger players who can later replicate the core instrumentation feature. Furthermore, the solo founder model presents a scaling risk in a sector that demands concurrent excellence in hardware supply chains, field deployment logistics, and enterprise software sales.
The most plausible 18-month competitive scenario hinges on HekOne's ability to secure anchor customers in its initial California grower cohort [Shahriyar Hekmat, LinkedIn, July 2026]. If the company can demonstrate clear ROI on reduced harvest downtime or improved yield tracking, it becomes an attractive niche acquisition target for a larger farm management platform seeking to deepen its real-time operational layer. In this scenario, a winner would be a company like Trimble or Granular, acquiring a focused capability to integrate. If HekOne cannot move beyond pilot deployments and prove unit economics, the loser scenario sees the market moving on; larger incumbents could develop similar lightweight sensing kits, or software platforms could form partnerships with generic IoT hardware providers, bypassing HekOne's integrated approach entirely.
Partially corroborated -- Landscape analysis is inferred from adjacent market categories; no direct competitors are named in company sources.
Opportunity
Open sources The prize for HekOne is a foundational data layer for the physical economy, turning opaque manual operations into a measurable, optimizable asset.
The headline opportunity is to become the default operational intelligence platform for mid-market agricultural supply chains, starting with harvest logistics. The company's initial focus on bin-level tracking for California growers is a narrow but critical wedge into a sector where yield and timing directly translate to revenue. If HekOne can establish its hardware-software stack as the source of truth for harvest activity, the path opens to layer on analytics for labor efficiency, predictive maintenance, and supply chain coordination, moving from a monitoring tool to a central nervous system for farm operations. The evidence that makes this reachable, rather than purely aspirational, is the founder's specific engineering background in mechanical systems and thermal design, which suggests a capability to build reliable field hardware, and the company's stated commercial model of hardware sales plus recurring software, which aligns with how growers historically adopt technology [Shahriyar Hekmat, LinkedIn][HekOne Origin presentation, retrieved 2026].
Two concrete growth scenarios illustrate how the company could scale from its initial deployments.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Vertical Dominance in Specialty Crops | HekOne becomes the mandated harvest-tracking system for a major California grower cooperative, expanding from pilots to fleet-wide deployment across hundreds of growers. | A multi-year contract with a named cooperative, announced as a strategic partnership. | The company is already targeting limited initial deployments with California growers, indicating a focused go-to-market [Shahriyar Hekmat, LinkedIn, July 2026]. The high-value, time-sensitive nature of specialty crops (e.g., nuts, berries) creates a strong ROI case for real-time visibility. |
| Platform Expansion into Adjacent Logistics | The underlying sensor and edge-compute platform is adapted to track pallet-level movement in warehouse and cold-chain logistics, sold as a white-label solution to logistics providers. | A pilot project with a third-party logistics (3PL) company or a refrigerated transportation firm. | HekOne's public materials explicitly frame its technology as a "physical intelligence platform" for agriculture, retail, and supply chain, signaling an architectural intent to expand beyond a single use case [HekOne, retrieved 2026]. The smart dispenser instrumentation example demonstrates early conceptual work on non-agricultural physical interactions [Smart Dispenser Instrumentation Example, retrieved 2026]. |
Compounding for HekOne would manifest as a data network effect within a supply chain. The first win with a grower provides not just revenue but operational data that improves the platform's predictive models for harvest timing and yield. This improved intelligence becomes a selling point for the grower's downstream partners, such as packers and shippers, who would benefit from integrated visibility. Over time, the platform's value increases as more nodes in a supply chain adopt it, creating a data moat where the integrated view of the physical flow becomes difficult to replicate with point solutions. While there is no public evidence this flywheel is yet in motion, the company's platform language and multi-stakeholder vision suggest this is the intended compounding mechanism [HekOne, retrieved 2026].
The size of the win, should the vertical dominance scenario play out, can be contextualized by looking at the trajectory of other agricultural technology platforms that achieved scale. For instance, farm management software company Farmers Business Network reached a reported valuation of over $4 billion following its Series G round in 2021, built on a model of aggregating grower data to drive purchasing and analytics decisions [Forbes, 2021]. While HekOne's hardware-centric approach is distinct, the comparable suggests that a platform capturing granular operational data from a critical mass of growers can command significant enterprise value. If HekOne were to secure a dominant position in the California specialty crop harvest logistics segment,a multi-billion dollar annual activity,a platform valuation in the hundreds of millions of dollars is a plausible outcome (scenario, not a forecast).
Partially corroborated -- The opportunity framing relies on the company's stated platform ambitions and founder background, which are publicly documented. The growth scenarios are extrapolations from these stated goals; no public evidence yet confirms movement toward the specific catalysts.
Sources
Open sources
[HekOne, retrieved 2026] HEKONE | Operational Intelligence for the Physical World | https://hekone.com/
[Shahriyar Hekmat, LinkedIn, retrieved 2026] Shahriyar Hekmat | LinkedIn | https://www.linkedin.com/in/shahriyarhekmat
[UC Merced Venture Lab, retrieved 2026] Welcome to UC Merced Venture Lab | UC Merced Venture Lab | https://venturelab.ucmerced.edu/
[HekOne Origin presentation, retrieved 2026] HEKONE Origin Presentation | https://www.linkedin.com/posts/shahriyarhekmat_hekone-agtech-agriculture-activity-7493977627234578432-9Jhg
[Shahriyar Hekmat, LinkedIn, July 2026] Shahriyar Hekmat on LinkedIn | https://www.linkedin.com/posts/shahriyarhekmat_agtech-precisionagriculture-harvest-activity-7483352452805705728-ToCs
[LinkedIn company profile, retrieved 2026] HekOne | LinkedIn | https://www.linkedin.com/company/hekone
[HEKONE Origin, retrieved 2026] HEKONE Origin | https://hekone.com/origin.html
[Smart Dispenser Instrumentation Example, retrieved 2026] Turn physical dispensing into measurable data. - HEKONE | https://hekone.com/pilot.html
[StartupSac, August 2026] Startup Events Week of August 3 | https://startupsac.com/startup-events-week-of-august-3/
[VISTA, retrieved 2026] Shahriyar Hekmat - Valley Institute for Sustainability, Technology, and Agriculture | https://vista.ucmerced.edu/person/shahriyar-hekmat/
[HekOne, September 2026] HEKONE Origin | https://hekone.com/origin.html
Articles about HekOne
- HekOne's Hardware Wedge Tracks the Almond Harvest, Bin by Bin — A solo founder in California's Central Valley is betting a sensor-loaded bin scale can be the first data point for a 'physical intelligence' platform.