Opsima
Real-time platform unifying equipment, maintenance, and labor for ports and logistics
Website: https://opsima.com
Cover Block
PUBLIC
| Attribute | Value |
|---|---|
| Name | Opsima |
| Tagline | Real-time platform unifying equipment, maintenance, and labor for ports and logistics [opsima.com] |
| Headquarters | New York, US [opsima.com] |
| Founded | 2023 [blueconomy-il.com] |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | Logistics / Supply Chain |
| Technology | AI / Machine Learning |
| Geography | Middle East / North Africa |
| Founding Team | Co-Founders (3+) |
Links
PUBLIC
- Website: https://opsima.com/
- LinkedIn: https://il.linkedin.com/in/ben-benny-7625366b
Executive Summary
PUBLIC Opsima is a pre-seed venture developing an AI-driven platform to unify equipment, maintenance, and labor data for port and logistics terminals, a bet on digitizing a historically fragmented and capital-intensive industrial sector [blueconomy-il.com]. Founded in 2023, the company’s core proposition, EquipmentOS, aims to create a real-time system of record for physical operations, targeting efficiency gains in asset utilization and predictive maintenance [opsima.com]. The founding team, led by CEO Ben Benny and including R&D specialist Yaron Shani, brings technical depth in deep learning but lacks publicly disclosed operational experience in the target enterprise vertical [linkedin.com, 2026].
No external funding rounds have been publicly confirmed, and the business model is positioned as SaaS, though pricing and customer acquisition strategy remain unproven. The immediate investor focus should be on resolving significant entity confusion with a separately funded cloud cost management company also named Opsima, and on validating pilot deployments with terminal operators to move beyond the current conceptual stage. Over the next 12-18 months, evidence of a paid commercial contract or a clear seed round announcement will be the critical signal to watch.
Data Accuracy: YELLOW -- Core product claims are from the company's website; team details are partially corroborated by LinkedIn. Funding, revenue, and customer traction are unconfirmed.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Logistics / Supply Chain |
| Technology Type | AI / Machine Learning |
| Geography | Middle East / North Africa |
| Founding Team | Co-Founders (3+) |
Company Overview
PUBLIC Opsima is a 2023 entrant into the industrial operations software space, founded by a team of at least four co-founders. The company's public narrative centers on unifying disparate operational data streams for heavy equipment sectors, a proposition it has branded as EquipmentOS [opsima.com]. While the founding story itself is not detailed in public sources, the company's early positioning suggests a focus on ports, logistics, and construction, targeting the persistent inefficiencies in asset utilization and maintenance scheduling common to those industries [blueconomy-il.com].
Headquarters are listed as New York, US, though this detail appears primarily on the company's website and social media profiles [opsima.com][facebook.com, 2026]. Founders Ben Benny and Yaron Shani are identified as being based in Israel, indicating a likely distributed or dual-base operational structure [linkedin.com, 2026][rocketreach.co, 2026]. The entity is registered as Opsima Ltd. in Israeli business databases [ivc-online.com]. A significant point of confusion exists with a separate entity named opsima.ai, which is described as a cloud cost management (FinOps) tool and has reportedly raised funding [Crunchbase]. This creates a clear naming conflict that investors must disentangle; the opsima.com entity focused on industrial operations shows no publicly disclosed funding rounds.
Key milestones are sparse. The company was founded in 2023, according to its own materials and third-party profiles [opsima.com][Prospeo.io, 2025]. It has produced a series of detailed blog posts on industrial maintenance and software comparisons throughout 2026, signaling an active content and product development strategy [opsima.com, 2026]. Opsima also participated as an exhibitor in the FUTURE LOGISTICS 2025 conference, marking an early effort at industry engagement [b2match.com, 2026]. Beyond these markers, no major customer announcements, partnership deals, or product launch events have been captured in public records.
Data Accuracy: YELLOW -- Company details are drawn from its website and founder profiles, but key facts like funding and entity structure are unconfirmed or conflicted by a namesake.
Product and Technology
MIXED
The core offering is EquipmentOS, a platform that integrates data streams from heavy equipment, maintenance systems, and labor management into a single real-time view [opsima.com]. The company's marketing copy repeats a consistent value proposition: "Unifies equipment, maintenance, and labor into one real-time platform that cuts downtime, accelerates throughput, and lifts ROI" [opsima.com]. This positions the product as a system of record for physical operations in ports, logistics, and construction.
Specific AI-driven applications are described for container terminals. The solution is designed to enhance the capacity and efficiency of mobile assets like Ship-to-Shore cranes, Rubber-Tired Gantry cranes, and Terminal Tractors [blueconomy-il.com]. The company's blog content, which serves as a public knowledge base, details use cases in predictive maintenance, work order management, and total cost of ownership analysis for industrial operations [opsima.com, 2026]. A notable technical ambition mentioned is enabling "rapid application development with agentic AI," where an operations leader describes a problem and AI agents handle discovery, design, and code generation [opsima.com, 2026]. This suggests a vision beyond dashboards toward an AI-augmented development layer for operational workflows.
Data Accuracy: YELLOW -- Product claims are sourced from the company's website and a third-party industry portal. Technical depth and deployment status are not independently verified.
Market Research
PUBLIC
The market for operational intelligence in ports and logistics is being reshaped by a convergence of global trade pressures and a long-overdue digital upgrade cycle in a historically asset-intensive sector. While Opsima does not disclose its own market sizing, the broader context is defined by the need for terminal operators to squeeze more capacity from existing infrastructure as global container volumes are projected to grow and labor constraints persist.
A precise total addressable market (TAM) for AI-driven port optimization software is not publicly available from third-party reports. Analysts can look to adjacent, analogous markets for scale. For example, the global terminal operating systems market was valued at $2.8 billion in 2023 and is forecast to reach $4.4 billion by 2028, according to a report from MarketsandMarkets cited by competitor Neurored [Neurored.com, 2026]. The broader industrial IoT analytics market, which includes the predictive maintenance and asset utilization functions Opsima targets, is measured in the tens of billions.
Terminal OS Market 2023 | 2.8 | $B
Terminal OS Market 2028 | 4.4 | $B
The projected growth in the terminal OS segment, at a compound annual rate of roughly 9.5%, signals sustained investment appetite. This growth is underpinned by several concrete demand drivers. Port congestion and supply chain volatility, highlighted during the pandemic, have made operational resilience a board-level priority. Simultaneously, the aging global fleet of container handling equipment, such as ship-to-shore and rubber-tired gantry cranes, creates a pressing need for predictive maintenance to avoid catastrophic downtime. Labor shortages in skilled maintenance roles further incentivize automation and AI-assisted decision-making. The company's own materials frame the value proposition around these exact pain points: cutting downtime and accelerating throughput [opsima.com].
Key adjacent markets that function as both complements and potential competitive substitutes include broader enterprise asset management (EAM) suites from vendors like IBM and SAP, and construction equipment telematics platforms from firms like Trimble and Caterpillar. The regulatory environment adds another layer of demand, particularly in Europe and North America, where emissions regulations are pushing ports to adopt smart systems for optimizing equipment movement and reducing idle fuel burn. Macro forces, including the reconfiguration of global trade routes and the expansion of mega-ships, place a premium on software that can dynamically manage berth windows and yard operations.
Data Accuracy: YELLOW -- Terminal OS market sizing is cited from a competitor's report referencing a third-party analyst. Broader demand drivers are supported by industry narrative and the company's stated focus.
Competitive Landscape
MIXED Opsima enters a competitive field defined by entrenched terminal operating systems and a newer generation of AI-focused optimization vendors, positioning its EquipmentOS as a unifying layer across equipment, maintenance, and labor data.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Navis N4 | Terminal operating system (TOS) for container terminals | Enterprise product (part of Kalmar) | Industry-standard TOS with deep integration into terminal equipment and processes [PUBLIC] | |
| Kalmar OneTerminal | Cloud-native TOS and equipment control system | Enterprise product (part of Kalmar) | Integrates TOS with real-time equipment automation and data [PUBLIC] | |
| Tideworks TDI | Terminal operating and planning software | Enterprise product (independent) | Focus on North American intermodal and container terminal market [PUBLIC] |
The competitive map breaks into three distinct tiers. The first is the incumbent terminal operating system (TOS) layer, dominated by vendors like Navis (now part of Kalmar), Tideworks, and CyberLogitec. These systems are the core transactional record for terminal operations, managing vessel and yard planning, gate transactions, and equipment dispatch. They are deeply embedded, with sales cycles often tied to multi-year port infrastructure projects. The second tier consists of optimization and analytics vendors that layer on top of existing TOS installations. Companies like Kaleris (which offers yard management and visibility solutions) and newer entrants like Neurored operate here, aiming to improve efficiency within the constraints of the underlying TOS. Opsima's stated ambition to unify equipment, maintenance, and labor suggests it aims to sit between these tiers, potentially competing with the optimization layer while also aspiring to replace certain TOS modules for equipment-centric data.
Opsima's potential edge rests on its integrated data model and AI focus, as described in its materials. The company claims its EquipmentOS creates a single system of record for physical operations, which could reduce the data silos between maintenance systems, telemetry feeds, and workforce management tools [opsima.com]. This integration is the proposed foundation for its AI-driven optimization tools for assets like cranes and terminal tractors [blueconomy-il.com]. The durability of this edge is unproven, however. It depends entirely on securing initial pilot deployments to build a proprietary dataset of integrated operational telemetry, a classic cold-start problem in industrial AI. Without those deployments, the edge remains a conceptual architecture diagram. The team's technical background in deep learning, as noted for co-founder Yaron Shani [LinkedIn, 2026], provides the talent to build the models, but does not guarantee access to the necessary data or commercial relationships.
The company's most significant exposure is to the distribution and integration moats of the incumbent TOS providers. Navis N4 and Kalmar OneTerminal are not just software products, they are part of broader equipment and automation ecosystems sold by global giants like Kalmar and Konecranes. Competing on a pure software basis against these bundled hardware-software offerings is exceptionally difficult for a pre-seed startup. Furthermore, Opsima appears absent from the adjacent market for cloud cost management (FinOps), where another entity named opsima.ai operates [Prospeity Sonar Pro, 2025]. This entity confusion does not directly impact port competition, but it signals branding and market clarity challenges that could distract potential partners or investors evaluating the company.
A plausible 18-month scenario hinges on pilot execution. If Opsima successfully lands a paid pilot with a mid-sized terminal operator and demonstrates measurable throughput gains or downtime reduction, it could establish a beachhead as a specialist AI optimization vendor. In this case, a winner would be Neurored, another software-centric challenger, as a validated market for modern, data-driven terminal software could lift all boats in the challenger category. Conversely, if Opsima fails to convert its pilot-stage status into a production contract, the loser would likely be Opsima itself. The risk is that without a commercial foothold, the company remains a conceptual proposition while incumbents like Kalmar continue to bake similar AI capabilities into their existing, entrenched platforms, effectively closing the window for a standalone unified operations layer.
Data Accuracy: YELLOW -- Competitor identification is public, but Opsima's own positioning and differentiation are sourced primarily from its website without independent validation of deployment.
Opportunity
PUBLIC The prize for Opsima is a single, unified operating system for the physical assets that move global trade, a platform that could capture a multi-billion dollar slice of terminal and logistics software spend if its integration thesis proves out.
The headline opportunity is to become the default system of record for port and terminal operations, displacing the fragmented mix of legacy Terminal Operating Systems (TOS), Computerized Maintenance Management Systems (CMMS), and labor management tools. The company's core proposition, repeated across its website, is a real-time platform that "unifies equipment, maintenance, and labor" [opsima.com]. This integration directly targets a persistent pain point in industrial logistics: operational silos that obscure asset health and cripple throughput. The reachable outcome is not merely another point solution but a category-defining EquipmentOS, a term Opsima has already branded. The evidence that this is more than an aspiration lies in the specificity of the targeted assets,Ship-to-Shore cranes, Rubber-Tired Gantry cranes, Straddle Carriers,and the explicit focus on AI-driven optimization for capacity and efficiency [blueconomy-il.com]. This suggests a product built with domain-aware intelligence, not a generic dashboard.
Growth would likely follow one of several concrete paths, each with a distinct catalyst.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Pilot-to-Portfolio in Israel | Opsima secures a lighthouse deployment at a major Israeli port, using the reference to expand across the Mediterranean. | A successful, publicly disclosed pilot at a terminal, as the company is currently in a "pilot stage" [blueconomy-il.com]. | The founding team's roots and the company's listing in the Israeli IVC database provide a natural beachhead [ivc-online.com]. |
| Acquisition by a TOS Vendor | A legacy terminal software provider (e.g., Kalmar, Navis) acquires Opsima to modernize its stack and add real-time AI capabilities. | A strategic partnership or integration announced with an existing competitor, validating the technology's complementary value. | The competitive landscape is dominated by large, established vendors; acquiring innovation is a common consolidation path in this sector. |
| Horizontal Expansion into Construction | Opsima leverages its EquipmentOS to serve adjacent heavy equipment sectors like construction and equipment rental, which it already lists as a target market [opsima.com]. | A dedicated product module or a customer case study released from a construction firm. | The platform's stated focus on unifying equipment, maintenance, and labor is not port-specific, allowing for logical horizontal replication. |
The compounding effect for Opsima would be a data and workflow moat. Each terminal deployment ingests telemetry and operational data from a diverse fleet of equipment, refining the platform's predictive maintenance and optimization models. As the company notes in a blog post, its approach involves uniting "telemetry, unstructured data and predictive maintenance" [opsima.com, 2026]. This creates a flywheel: better data leads to more accurate AI, which drives higher ROI for customers (throughput gains, cost reduction), which in turn justifies expansion to more sites and asset types within a customer's portfolio. The initial evidence of this flywheel is not yet public, but the product architecture described is explicitly designed to create it.
Quantifying the size of the win requires looking at comparable public companies and acquisition multiples. While no direct public comp exists for an "EquipmentOS," the broader industrial IoT and operational software space offers benchmarks. For example, a successful scenario where Opsima becomes a critical software layer for a segment of the global port terminal market could support a valuation in the hundreds of millions of dollars, based on the scale of its established competitors. This is a scenario, not a forecast, but it frames the potential upside if the company can transition from pilot stage to a proven, scaled deployment.
Data Accuracy: YELLOW -- The opportunity analysis is based on the company's stated product vision and target markets, which are publicly documented. The growth scenarios are plausible extrapolations but lack public evidence of active catalysts or traction.
Sources
PUBLIC
[opsima.com] Opsima , Operational Intelligence for Heavy Equipment | https://opsima.com/
[blueconomy-il.com] Opsima - Israeli national center of blue economy | https://blueconomy-il.com/startups/sima-analytics/
[Prospeo.io, 2025] Opsima (Sima Analytics / Opsima Ltd.) | https://prospeo.io/c/opsima-revenue
[linkedin.com, 2026] Yaron Shani - Opsima | LinkedIn | https://www.linkedin.com/in/yaron-shani/
[facebook.com, 2026] Opsima | New York NY | https://www.facebook.com/people/Opsima/61572961916661/
[rocketreach.co, 2026] Ben Benny Email & Phone Number | Opsima Co-Founder Contact Information | https://rocketreach.co/ben-benny-email_23136683
[ivc-online.com] IVC Research Center | https://www.ivc-online.com/Google-Card?id=04f07530-87c6-ee11-b812-00505695cd29
[Crunchbase] Opsima - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/opsima
[b2match.com, 2026] Opsima.com | FUTURE LOGISTICS 2025 | https://www.b2match.com/e/future-logistics-2025/participations/502757
[opsima.com, 2026] Contact Us | Opsima | https://www.opsima.com/contact
[Neurored.com, 2026] Port & Terminal Management Software - Neurored TMS & SCM | https://www.neurored.com/port-terminal-management-software/
[Perplexity Sonar Pro, 2025] Opsima (Sima Analytics / Opsima Ltd.) Brief | https://prospeo.io/c/opsima
Articles about Opsima
- Opsima's Real-Time System Unifies the Port Terminal's Equipment, Labor, and Maintenance — The early-stage startup is piloting its EquipmentOS platform in a market dominated by legacy incumbents and bespoke systems.