Dapster AI

Cover Block

Field	Value
Name	Dapster AI
Tagline	Robotic pick solutions for grocery, retail, 3PL and large-scale warehouse operators
Headquarters	Palo Alto, California, USA
Founded	2020 (April 23, 2020 per Crunchbase)
Stage	Pre-Seed
Business Model	B2B
Industry	Logistics / Supply Chain
Technology	Robotics, AI
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2): Scott Thomas, Ramesh Sekhar
Funding Label	Pre-seed (Incubator/Accelerator round, April 2021)

Links

• Website: https://www.dapster.ai/overview.html
• LinkedIn: https://www.linkedin.com/company/dapster-ai

The Short Version

Dapster AI is an early-stage Palo Alto robotics company building AI-driven case-picking systems aimed at the problem of moving boxes around grocery, retail, and third-party logistics warehouses [Crunchbase]. The company was founded in April 2020 by Scott Thomas and Ramesh Sekhar, and remains at the pre-seed stage following an Incubator/Accelerator round disclosed in April 2021 with Plug and Play and Plug and Play Northwest Arkansas as the named backers [CB Insights]. The product centers on a touchless case-picking robot with integrated barcode reading, real-time inventory tracking, loading, and palletization functionality [YourStory]. The founding team pairs a consumer-software operator background (Thomas, previously VP Operations at Playdom) with deep enterprise hardware exposure (Sekhar, with prior roles at HDS Global, Zebra Technologies, and Motorola Solutions) [Crunchbase] [RocketReach]. Headcount is reported at 2 to 10 employees on LinkedIn and 5 on Built In [LinkedIn] [Built In].

Data Accuracy: GREEN -- Confirmed by Crunchbase, CB Insights, LinkedIn, and Built In.

Taxonomy Snapshot

Axis	Value
Stage	Pre-Seed
Business Model	B2B
Industry / Vertical	Logistics / Supply Chain (warehouse automation)
Technology Type	Robotics, AI / computer vision
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Pre-seed via Plug and Play accelerator (April 2021)

The Company in Brief

Dapster AI was incorporated in Palo Alto, California in April 2020 and is privately held [Crunchbase] [PitchBook]. The company has positioned itself from inception around a single problem: automating the case-pick step in warehouse operations, the manual transfer of cases of goods from pallet or shelf to outbound pallet. The founders, Scott Thomas and Ramesh Sekhar, are listed as the company's only public principals [Crunchbase].

The most clearly documented milestone in the company's public record is its participation in Plug and Play, with an Incubator/Accelerator round logged on April 16, 2021 [CB Insights]. Plug and Play Northwest Arkansas, the regional program co-located with Walmart's home market and oriented around retail and supply-chain pilots, is named alongside the main Plug and Play entity as an investor [CB Insights]. Crunchbase classifies the company at a CB Rank of 235,122 with a Growth Score of 88 and Heat Score of 83 [Crunchbase].

The company's LinkedIn page lists the industry as Automation Machinery Manufacturing and headcount in the 2 to 10 range, while Built In lists five total employees [LinkedIn] [Built In]. There is no publicly reported legal entity name distinct from Dapster AI, no disclosed board, and no announced commercial customers in the captured sources.

Data Accuracy: GREEN -- Confirmed by Crunchbase, CB Insights, PitchBook, LinkedIn, and Built In.

What They Have Built

The public product description is short and consistent across databases. Dapster AI is described as a "developer of AI-fueled touchless pick designed for the case-picking robot" whose platform handles "advanced picking capability, barcode-reading, and real-time inventory tracking, loading, and palletization" [YourStory]. Crunchbase repeats the shorter framing: robotic pick solutions for grocery, retail, 3PL, and large-scale warehouse operators [Crunchbase].

Functionally, the cited descriptions place Dapster AI in the case-picking robotics category rather than the each-picking or piece-picking category. Case picking handles whole cases of product rather than individual consumer units, which is a meaningfully different engineering problem: payloads are heavier, cycle times are slower, and the dominant constraints are vision under variable lighting, slip and crush risk on mixed-SKU pallets, and integration with existing pallet jacks and conveyors. The mention of palletization in the product description suggests the system is intended to terminate at a built outbound pallet [YourStory].

The public record does not disclose the underlying robot arm vendor, the perception stack, the gripper design, or whether Dapster AI is selling hardware, robotics-as-a-service, or a software layer on top of third-party arms. No patents, peer-reviewed papers, or open-source repositories are surfaced in the captured sources.

Data Accuracy: YELLOW -- Product description corroborated by YourStory and Crunchbase, but technical architecture and deployment model are not publicly available.

Market Research and Opportunity

Warehouse automation has moved from a niche capex line to a board-level priority for grocery and retail operators, and case picking is the segment where the labor math is most punishing. The most relevant macro signal is the persistence of well-funded incumbents in adjacent slots of the same value chain: Symbotic, Berkshire Grey, Locus Robotics, and Geek+ are all named as competitors in the captured competitive set [Crunchbase] [CB Insights].

Demand drivers cited or implied by the captured sources include the ongoing labor shortage in distribution-center work, the post-pandemic acceleration of grocery e-commerce throughput, and the strategic interest of large retailers in de-risking labor exposure, the latter signaled directly by Plug and Play Northwest Arkansas's role as an investor [CB Insights]. Adjacent and substitute markets include each-picking robotics, goods-to-person systems, autonomous mobile robots that move totes, and the long-standing alternative of hiring more human pickers.

Cited reference point	Detail
Named competitive set	Symbotic, Berkshire Grey, Locus Robotics, Geek+
Investor signal	Plug and Play + Plug and Play Northwest Arkansas (Walmart-corridor program)
Company industry classification	Automation Machinery Manufacturing

Data Accuracy: YELLOW -- Category presence and competitive set confirmed by Crunchbase and CB Insights, but no third-party TAM figure for case picking is in the captured record.

Who Else Is Fighting for This

Dapster AI enters a category where the incumbents are large, well-capitalized, and publicly traded or recently public.

Company	Positioning	Stage / Funding	Notable Differentiator
Dapster AI	AI case-picking robot for grocery, retail, 3PL	Pre-seed (Plug and Play, April 2021)	Touchless pick with integrated barcode read, inventory tracking, palletization
Symbotic	End-to-end automated case-handling system for retail DCs	Public (NASDAQ: SYM)	Deep Walmart commercial relationship, full-system integration
Berkshire Grey	AI-enabled picking and sortation for retail and logistics	Acquired by SoftBank (2023)	Each-pick and case-pick across SKU mix, large-scale deployments
Locus Robotics	Autonomous mobile robots for warehouse fulfillment	Late-stage venture	Bots-as-a-service model, broad 3PL footprint
Geek+	AMR and goods-to-person robotics	Late-stage venture (China-origin, global)	Goods-to-person systems at scale across APAC and EU

The segment-by-segment map is roughly this: Symbotic occupies the heavy-iron end-to-end system slot; Berkshire Grey sits in the AI-perception-led picking slot; Locus Robotics owns the mobile-robot tote-movement layer; Geek+ dominates the goods-to-person shelf-movement category. Dapster AI, on its public description, is most directly comparable to the case-picking element of Symbotic and Berkshire Grey.

Data Accuracy: GREEN -- Competitive set confirmed by Crunchbase and CB Insights; positioning interpretation is analyst commentary based on those sources.

Opportunity

The prize, if execution lines up with the category's trajectory, is meaningful: a defensible position in the case-picking layer of warehouse automation is the kind of asset that strategic acquirers and late-stage growth investors have repeatedly paid up for.

The headline opportunity. The single largest plausible outcome for Dapster AI is to become the default case-picking robotics layer for mid-market grocery and 3PL operators that are too small to commission a Symbotic full-system installation but too labor-exposed to keep operating manually. The Plug and Play Northwest Arkansas association puts the company within structured introduction distance of exactly the retailers that buy this category [CB Insights].

Growth scenarios.

Scenario	What happens	Catalyst
Northwest Arkansas wedge	Dapster AI lands a paid pilot at a grocery or retail DC introduced through Plug and Play Northwest Arkansas	A named pilot agreement converted from the existing accelerator relationship
3PL standardization	A multi-site third-party logistics operator adopts Dapster AI as its standard case-pick layer	A 3PL framework agreement following a successful single-site reference
Strategic acquisition	A larger automation incumbent or robotics platform acquires Dapster AI	A successful pilot that demonstrates differentiated grasp/vision performance

Data Accuracy: YELLOW -- Comparables and competitive set confirmed by Crunchbase and CB Insights; scenario sizing is analyst interpretation explicitly labelled as such.

Sources

1. [Crunchbase] Dapster AI - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/dapster-ai
2. [Crunchbase] Dapster AI - Growth Outlook | https://www.crunchbase.com/organization/dapster-ai/growth_outlook
3. [Crunchbase] Dapster AI - Profiles & Contacts | https://www.crunchbase.com/organization/dapster-ai/profiles_and_contacts
4. [Crunchbase] Scott Thomas - Co-Founder @ Dapster AI - Crunchbase Person Profile | https://www.crunchbase.com/person/scott-thomas-77b7
5. [Crunchbase] Ramesh Sekhar - Co-Founder @ Dapster AI | https://www.crunchbase.com/person/ramesh-sekhar-194f
6. [PitchBook] Dapster AI 2025 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/436918-51
7. [LinkedIn] Dapster AI | LinkedIn | https://www.linkedin.com/company/dapster-ai
8. [YourStory] Dapster AI Company Profile Funding & Investors | https://yourstory.com/companies/dapster-ai
9. [CB Insights] Dapster AI Stock Price, Funding, Valuation, Revenue & Financial Statements | https://www.cbinsights.com/company/dapster-ai/financials
10. [CB Insights] Dapster AI - Products, Competitors, Financials, Employees, Headquarters Locations | https://www.cbinsights.com/company/dapster-ai
11. [RocketReach] Ramesh Sekhar - Dapster AI Co-Founder contact information | https://rocketreach.co/ramesh-sekhar-email_27671469
12. [RocketReach] Scott Thomas - Dapster AI Co-Founder contact information | https://rocketreach.co/scott-thomas-email_811543
13. [Built In] Dapster AI Careers, Perks + Culture | https://builtin.com/company/dapster-ai
14. [Dapster AI] Dapster AI - Robotic Material Handling | https://www.dapster.ai/overview.html