Mantis Analytics

Cover Block

PUBLIC

Name	Mantis Analytics
Tagline	AI platform for supply chain visibility and scenario simulation across partners, routes, and policies.
Headquarters	Kyiv, Ukraine
Founded	2023
Stage	Pre-Seed
Business Model	SaaS
Industry	Logistics / Supply Chain
Technology	AI / Machine Learning
Geography	Eastern Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	Pre-seed (total disclosed ~$320,000)

Links

PUBLIC

• Website: https://mantisanalytics.com/
• LinkedIn: https://www.linkedin.com/company/mantisanalytics/

Executive Summary

PUBLIC Mantis Analytics is an early-stage AI company building a platform for real-time information monitoring and supply chain risk simulation, a proposition that merits attention for its dual-sector application and geopolitical context. Founded in 2023 by a Ukrainian team, the company has secured approximately $320,000 in pre-seed capital and grants from investors including ZAS Ventures and Alchemist Accelerator [Tracxn, Sep 2024] [Vestbee, March 2024]. The platform, as described by the company, uses AI to analyze data from social networks and media to detect harmful narratives and disinformation, while also aiming to provide visibility into supply chains for scenario planning [Mantis Analytics, Unknown] [AIN, Sep 2023]. The founding team brings a relevant mix of software product development and strategic communications experience, with CEO Maksym Tereshchenko noted for over a decade in software and startups [Crunchbase, Unknown]. Operating on a SaaS model, the company is targeting expansion into the US market, focusing on government, security, and industrial sectors [Vestbee, March 2024]. Over the coming year, key developments to monitor include the validation of its supply chain product claims against its established disinformation monitoring work, the signing of initial US-based customers, and the company's ability to navigate the operational challenges of a Ukrainian headquarters during an ongoing war.

Data Accuracy: YELLOW -- Core funding and founding facts are corroborated by multiple databases, but product descriptions and team backgrounds rely on limited or single-source profiles.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	SaaS
Industry / Vertical	Logistics / Supply Chain
Technology Type	AI / Machine Learning
Geography	Eastern Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	Pre-seed (total disclosed ~$320,000)

Company Overview

PUBLIC

Mantis Analytics is a pre-seed stage company founded in 2023, with its operational roots in Kyiv, Ukraine [Crunchbase]. The founding team of three, Anton Tarasyuk, Maksym Tereshchenko, and Ostap Vykhopen, established the company with a focus on applying AI to complex monitoring and simulation problems, though the precise nature of its initial product offering shows conflicting public descriptions [Crunchbase, Vestbee, March 2024].

Key corporate milestones trace a path of early institutional validation and a strategic shift toward the US market. The company secured a $25,000 grant from the Ukrainian defense technology cluster Brave1, followed by a $50,000 pre-seed investment from ZAS Ventures finalized in late 2023 [Vestbee, March 2024]. In March 2024, Mantis Analytics was accepted into the Alchemist Accelerator, receiving a further $30,000 investment [Crunchbase, March 2024]. A subsequent $240,000 round led by Nezlamni in September 2024 was explicitly earmarked to accelerate platform development and facilitate the company's entry into the United States [Tracxn, Sep 2024].

This funding trajectory, totaling approximately $320,000, supports a distributed operational model. While the company maintains its Ukrainian base, co-founders Anton Tarasyuk and Ostap Vykhopen are publicly listed as being based in Wilmington, Delaware, indicating an active effort to establish a US corporate and market presence [RocketReach, Ostap Vykhopen LinkedIn, 2026].

Data Accuracy: YELLOW -- Key founding and funding details are corroborated by multiple databases, but conflicting product descriptions and the absence of official state filings for verification introduce uncertainty.

Product and Technology

MIXED

Mantis Analytics presents a dual product focus that requires careful parsing. The company's own website describes an "AI platform that gives visibility of supply chains and simulates scenarios across partners, routes, and policies to ensure continuity" [Mantis Analytics, Unknown]. This core claim positions the company in the enterprise supply chain risk management space, with AI used for predictive modeling and what-if analysis. However, a significant body of third-party reporting and the company's own public commentary frames the product as a tool for information operations and disinformation monitoring. According to one report, the platform collects and analyzes data from social networks and media to detect harmful narratives and informational threats in real time [Perplexity Sonar Pro Brief]. This apparent pivot or expansion is not explained in the company's primary marketing materials.

The technical architecture is not detailed publicly, but can be inferred from the functional descriptions. The platform likely involves data ingestion pipelines for both structured supply chain data (e.g., logistics feeds, partner APIs) and unstructured open-source information (social media, news). The AI component is described for processing this information to identify patterns, detect anomalies, and simulate outcomes [AIN, Sep 2023]. The company claims its tools have been used by Ukrainian government agencies to monitor the Russian information environment during the ongoing war [Perplexity Sonar Pro Brief]. This suggests a deployment history, albeit in a highly specialized, non-commercial context.

Public evidence of the supply chain simulation product is limited to the website tagline. No demo videos, detailed case studies, or named enterprise customers for that specific use case are available in the captured sources. The team's background in strategic communications and software products aligns more directly with the information monitoring narrative than with deep supply chain domain expertise.

Data Accuracy: YELLOW -- Product claims are sourced from the company website and third-party reports, but the two described use cases (supply chain vs. disinformation) are not reconciled in public materials, creating ambiguity. Technical stack details are inferred.

Market Research and Opportunity

PUBLIC The market for AI-driven supply chain visibility and risk management is expanding as geopolitical instability and climate events expose the fragility of global logistics networks. Mantis Analytics positions itself at the intersection of this operational need and the emerging field of information environment monitoring, a dual focus that complicates traditional market sizing but reflects a broader trend toward integrated risk intelligence.

No third-party market sizing reports specific to Mantis Analytics's combined offering are cited in the available research. For context, the global supply chain analytics market was valued at $5.9 billion in 2022 and is projected to reach $16.8 billion by 2032, growing at a compound annual rate of 11.2% [Allied Market Research, 2023]. This analogous market for supply chain intelligence software suggests a significant addressable opportunity for tools that improve visibility and simulation. The adjacent market for AI in risk and compliance, which includes monitoring for disinformation and geopolitical threats, is also growing, though specific figures for the niche of election or information space monitoring are not publicly available from the cited sources.

Demand drivers are twofold, according to the company's public positioning and partner activity. First, the need for supply chain resilience is a persistent corporate priority, accelerated by recent disruptions. Second, the demand for tools to monitor and counter disinformation, particularly from state actors, has become a stated priority for government and security agencies, as evidenced by Mantis Analytics's partnership with the National Security and Defense Council of Ukraine [Perplexity Sonar Pro, 2024]. The company's stated plan to enter the US market targets the energy, manufacturing, and supply chain sectors, which face both physical logistics challenges and increasing regulatory scrutiny around operational security and provenance.

Key regulatory and macro forces are pronounced. The ongoing war in Ukraine has created both a proving ground for the company's technology and a significant operational risk given its Kyiv headquarters. For Western clients, especially in defense-adjacent industries, supply chain laws like the Uyghur Forced Labor Prevention Act and broader ESG reporting mandates are increasing the compliance burden, creating potential demand for deeper supplier visibility. However, the regulatory landscape for AI-driven content monitoring, especially in the context of elections, is rapidly evolving and could introduce compliance hurdles for that segment of the business.

Market Segment	Cited Size / Growth	Source
Global Supply Chain Analytics Market	$5.9B (2022) to $16.8B (2032)	Allied Market Research, 2023
Projected CAGR	11.2%	Allied Market Research, 2023

The available sizing data, while not specific to Mantis, indicates a large and growing total addressable market for core supply chain analytics. The company's potential serviceable obtainable market is narrower, focused on organizations with complex, multi-tiered supply chains that are also sensitive to informational threats, a niche that remains undefined in public reports.

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous, broader sector report. The company's specific target market and demand drivers are inferred from its stated focus and partnerships, which are corroborated by a single source.

Competitive Landscape

MIXED

Mantis Analytics is positioned at the intersection of two distinct but overlapping problem spaces: supply chain risk simulation and information environment monitoring for national security, a duality that complicates a straightforward competitive mapping.

No named competitors are present in the structured facts, precluding a direct comparison table. The competitive analysis must therefore rely on a segmentation of the broader market landscape.

The company's most direct competition is likely to be found in two separate arenas. For its stated supply chain visibility and simulation product, incumbents include large enterprise software vendors like SAP and Oracle, which offer integrated supply chain modules, and specialized SaaS providers such as project44 or FourKites for real-time transportation visibility. These players are well-capitalized and have established enterprise sales channels, but their focus is typically on operational data integration rather than AI-driven scenario modeling for geopolitical or informational risk. In the adjacent arena of information monitoring and disinformation detection, competitors range from cybersecurity firms with threat intelligence arms to specialized startups like Primer or Blackbird.AI, which analyze media and social data for narrative threats. These companies often serve government and defense clients directly, a customer segment Mantis Analytics has already engaged in Ukraine.

Where Mantis Analytics may have a defensible edge today is in its unique, war-tested application context. The platform's reported use by Ukrainian government agencies, including the National Security and Defense Council, to monitor the Russian information environment provides a form of validation and a proprietary dataset of real-world adversarial communications [Vestbee, March 2024]. This experience in a high-stakes, life-and-death operational setting is a differentiator that few commercial SaaS vendors can claim. However, this edge is perishable if it cannot be productized and generalized for commercial supply chain clients in less extreme environments. The team's background in strategic communications and software, noted in founder profiles, is relevant but not unique [Crunchbase].

The company is most exposed in its attempt to bridge these two domains. For supply chain managers, a tool built for election monitoring or foreign interference detection may seem irrelevant or overly niche. Conversely, for national security buyers, a platform that also simulates logistics routes could be viewed as lacking depth in core intelligence functions. This positioning risk is compounded by the company's very early stage and limited capital, which restricts its ability to build and sell two complex products simultaneously. A well-funded incumbent in either category could decide to expand into the other, leveraging its existing customer base and resources to outpace Mantis Analytics.

The most plausible 18-month competitive scenario hinges on focus. If Mantis Analytics successfully leverages its Ukrainian government case studies to secure dedicated funding and partnerships for its national security monitoring platform, it could become a specialized, regionally dominant player in Eastern European defense tech. The winner in this scenario would be a company like Primer, which continues to deepen its AI for intelligence offerings. If, instead, the company pursues a dual-track strategy without clear prioritization, it risks being outmaneuvered in both segments by better-resourced specialists. The loser would be Mantis Analytics itself, as it fails to gain meaningful traction in either commercial supply chain or broader government markets beyond its initial contacts.

Data Accuracy: YELLOW -- Competitive mapping is inferred from product claims and market segments; no direct competitor names are confirmed in sources.

Opportunity

PUBLIC

If Mantis Analytics successfully translates its early, high-stakes government work into a scalable commercial product, the opportunity lies in becoming a critical layer of operational resilience for global supply chains, a market where disruptions cost trillions annually.

The headline opportunity is the establishment of a new category of AI-native supply chain resilience software, moving beyond static visibility dashboards to become a dynamic simulation and decision-support platform. The company's initial focus on monitoring and analyzing complex information environments for Ukrainian government agencies provides a unique, battle-tested foundation [Perplexity Sonar Pro Brief]. This experience in high-pressure, life-and-death scenarios suggests a product built for consequence, not just convenience. If this capability can be productized for the private sector,specifically for multinational corporations managing fragile global networks,the company could define the standard for how enterprises anticipate and navigate systemic risks, from geopolitical events to logistical failures.

Growth is not guaranteed to follow a single path. The company's public statements and investor backing point to several plausible, high-scale scenarios.

Scenario	What happens	Catalyst	Why it's plausible
Defense-to-Commercial Pivot	The platform, proven in national security contexts, becomes the de facto risk intelligence layer for Fortune 500 supply chain and security teams.	A flagship contract with a major multinational in energy or manufacturing, validating the commercial use case.	The team's existing partnerships with Ukrainian government agencies, including the National Security and Defense Council, demonstrate capability with high-consequence data [Perplexity Sonar Pro Brief]. Investors like Nezlamni are backing the U.S. market entry with this pivot in mind [Vestbee, March 2024].
Policy & Compliance Standard	Regulatory bodies or industry consortia begin mandating or recommending scenario-based stress testing for supply chain continuity, with Mantis's simulation tools as a reference implementation.	Inclusion in a major industry framework or a regulatory sandbox project in the U.S. or EU.	The company's focus on simulating scenarios across "partners, routes, and policies" directly addresses growing regulatory scrutiny on supply chain transparency and resilience [Mantis Analytics, Unknown].

For any of these scenarios to materialize sustainably, the business must develop a compounding advantage. The most plausible flywheel for Mantis Analytics is a data and scenario moat. Each new enterprise client, particularly in a different industry or geographic corridor, would contribute unique data on partner networks, route performance, and policy impacts. This proprietary dataset would continuously improve the accuracy and granularity of the platform's simulation models. In turn, more accurate simulations would attract more sophisticated clients willing to pay a premium for predictive insight, further enriching the data asset. Early evidence of this dynamic is suggested by the platform's reported use during the Russia-Ukraine war, where real-time monitoring presumably refined its detection algorithms [Perplexity Sonar Pro Brief].

The size of the win, should the Defense-to-Commercial Pivot scenario succeed, can be framed by looking at established players in adjacent markets. For example, risk and compliance software vendors like Moody's (which acquired risk modeling firm RMS) or specialized supply chain visibility platforms command significant enterprise value based on their role as essential, data-driven decision layers. While direct comparables are scarce for a company at this stage, the broader market for supply chain risk management solutions is projected to reach tens of billions of dollars within the decade. A company that captures even a single-digit percentage of this market by becoming a category-defining platform could achieve a valuation in the high hundreds of millions to low billions of dollars (scenario, not a forecast). This outcome is what investors in the pre-seed rounds, including ZAS Ventures and Alchemist Accelerator, are betting the team and technology can eventually reach [Crunchbase, March 2024].

Data Accuracy: YELLOW -- The core opportunity thesis relies on connecting disparate public signals: government partnerships from one source [Perplexity Sonar Pro Brief], a supply chain product description from another [Mantis Analytics, Unknown], and U.S. expansion plans from a third [Vestbee, March 2024]. These elements are not yet corroborated by a single, authoritative source.

Sources

PUBLIC

1. [Tracxn, Sep 2024] Mantis Analytics - 2026 Funding Rounds & List of Investors - Tracxn | https://tracxn.com/d/companies/mantis-analytics/__1VCIqV_lieM0Eb8hUtpiO_T5rsEoCgGOOBox0_oONsU/funding-and-investors

2. [Vestbee, March 2024] Ukrainian AI platform Mantis Analytics raises $240K to enter the US market | https://www.vestbee.com/insights/articles/mantis-analytics-raises-240-k/

3. [Mantis Analytics, Unknown] Mantis Analytics | https://mantisanalytics.com/

4. [AIN, Sep 2023] The role of AI in Russia's invasion of Ukraine: Interview with expert Anton Tarasyuk | https://globalvoices.org/2023/10/13/the-role-of-ai-in-russias-invasion-of-ukraine-interview-with-expert-anton-tarasyuk/

5. [Crunchbase, Unknown] Mantis Analytics - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/mantis-analytics

6. [Crunchbase, March 2024] Pre Seed Round - Mantis Analytics - 2024-03-26 - Crunchbase Funding Round Profile | https://www.crunchbase.com/funding_round/mantis-analytics-pre-seed--dc5dc673

7. [RocketReach, Unknown] Anton Tarasyuk - Mantis Analytics | https://rocketreach.co

8. [Ostap Vykhopen LinkedIn, 2026] Ostap Vykhopen - Wilmington, Delaware, United States | Professional Profile | LinkedIn | https://www.linkedin.com/in/ostap-vykhopen/

9. [Perplexity Sonar Pro Brief] Mantis Analytics: Research Brief | https://www.perplexity.ai/

10. [Allied Market Research, 2023] Supply Chain Analytics Market | https://www.alliedmarketresearch.com/supply-chain-analytics-market